Miracle-dz/UniFAR-FTUs huggingface dataset:
Bifurcation stabilization with local output feedback

Local output feedback stabilization with smooth nonlinear controllers is studied for parametrized nonlinear systems for which the linearized system possesses either a simple zero eigenvalues, or a pair of imaginary eigenvalues, and the bifurcated solution is unstable at the critical value of the parameter. It is assumed that the unstable mode corresponding to the critical eigenvalues of the linearized system is not linearly controllable. Two results are established for bifurcation stabilization: 1) stabilizability conditions for the case where the critical mode is not linearly observable through output measurement; and 2) stabilizability conditions for the case when the critical mode is linearly observable through output measurement. It is shown that linear controllers are adequate for stabilization of transcritical bifurcation and quadratic controllers are adequate for stabilization of pitchfork and Hopf bifurcations, respectively. The results can be used to synthesize stabilizing controllers, if they exist.
Sex Differences in Genetic Architecture of Complex Phenotypes?

We examined sex differences in familial resemblance for a broad range of behavioral, psychiatric and health related phenotypes (122 complex traits) in children and adults. There is a renewed interest in the importance of genotype by sex interaction in, for example, genome-wide association (GWA) studies of complex phenotypes. If different genes play a role across sex, GWA studies should consider the effect of genetic variants separately in men and women, which affects statistical power. Twin and family studies offer an opportunity to compare resemblance between opposite-sex family members to the resemblance between same-sex relatives, thereby presenting a test of quantitative and qualitative sex differences in the genetic architecture of complex traits. We analyzed data on lifestyle, personality, psychiatric disorder, health, growth, development and metabolic traits in dizygotic (DZ) same-sex and opposite-sex twins, as these siblings are perfectly matched for age and prenatal exposures. Sample size varied from slightly over 300 subjects for measures of brain function such as EEG power to over 30,000 subjects for childhood psychopathology and birth weight. For most phenotypes, sample sizes were large, with an average sample size of 9027 individuals. By testing whether the resemblance in DZ opposite-sex pairs is the same as in DZ same-sex pairs, we obtain evidence for genetic qualitative sex-differences in the genetic architecture of complex traits for 4% of phenotypes. We conclude that for most traits that were examined, the current evidence is that same the genes are operating in men and women.
The Spring Kernel: A New Paradigm for Real-Time Systems

A real-time operating system kernel, called the Spring kernel, that provides some of the basic support required for large, complex, next-generation real-time systems, especially in meeting timing constraints, is presented. The approach meets the need to build predictable yet flexible real-time systems. Most current real-time operating systems contain the same basic paradigms found in time-sharing operating systems and often use a basic priority-scheduling mechanism that provides no direct support for meeting timing constraints. Spring uses two criteria to classify tasks' interaction with and effects on the environment: importance and timing requirements. Implementation experience with Spring is described. >
McGill-03 / 19 , CERN-TH / 2003-203 , COLO-HEP-493 , DAMTP-2003-104 Bouncing Branes

We present several higher-dimensional spacetimes for which observers living on 3-branes experience an induced metric which bounces. The classes of examples include boundary branes on generalised S-brane backgrounds and probe branes in D-brane/anti D-brane systems. The bounces we consider normally would be expected to require an energy density which violates the weak energy condition, and for our co-dimension one examples this is attributable to bulk curvature terms in the effective Friedmann equation. We examine the features of the acceleration which provides the bounce, including in some cases the existence of positive acceleration without event horizons, and we give a geometrical interpretation for it. We discuss the stability of the solutions from the point of view of both the brane and the bulk. Some of our examples appear to be stable from the bulk point of view, suggesting the possible existence of stable bouncing cosmologies within the brane-world framework.
Analisis tingkat keterbukaan perdagangan Indonesia di Asia: studi kasus standard international trade classifications 5, 6, 7 dan 8

JOKO SUBANDRIO USMAN. 2012. Analysis of Indonesian Trade Openness in Asia: Case Study for Standard International Trade Classifications 5, 6, 7 and 8 (MANGARA TAMBUNAN as Chairman, ANNY RATNAWATI and HERMANTO SIREGAR as Members of Advisory Committee) This research has objectives to analyze Indonesian trade openness and trade flows set particularly for its industrial products, in Asia. The research employed Gravity Model in its all analysis. The research covered eight Indonesian trading partners which includes ASEAN (represented by Indonesia, Singapore, Malaysia, Thailand and the Philippine) and China, Japan, India and South Korea, abbreviated by JACIK. The research utilized secondary data from UNComtrade and IFS International Financial Statistic IMF for the periode 1998 to 2008. The research disclosed that trade openness has positive relationship with our economic growth, number of population, exchange rates and trade conformity index, however it has negative relationship with distance between countries. The research also found that Indonesian international trade flows a Heckscher-Ohlin model more than increasing return or product differentiation or still an inter-industry trade rather than intra-industry trade, substantiated by positive sign of Trade Conformity Index and average lower Grubel Llyod index. The research also found that in general our international trade flows has considerable opportunity to augment its performance, substantiated by research’s finding on Speed of Convergence test in our bilateral trade with our partners, suggesting that they are desirable partners for an Asia FTA.
Molecular architecture of basement membranes

Basement membranes are specialized extracellular matrices with support, sieving, and cell regulatory functions. The molecular architectures of these matrices are created through specific binding interactions between unique glycoprotein and proteoglycan protomers. Type IV collagen chains, using NH2‐terminal, COOH‐terminal, and lateral association, form a covalently stabilized polygonal framework. Laminin, a four‐armed glycoprotein, self‐assembles through terminal‐domain interactions to form a second polymer network, Entactin/nidogen, a dumbbell‐shaped sulfated glycoprotein, binds laminin near its center and interacts with type IV collagen, bridging the two. A large heparan sulfate proteoglycan, important for charge‐dependent molecular sieving, is firmly anchored in the basement membrane and can bind itself through a core‐protein interaction to form dimers and oligomers and bind laminin and type IV collagen through its glycosaminoglycan chains. Heterogeneity of structure and function occur in different tissues, in development, and in response to different physiological needs. The molecular architecture of these matrices may be regulated during or after primary assembly through variations in compositions, isoform substitutions, and the modifying influence of exogenous macromolecules such as heparin and heparan sulfate. — Yurchenco, R D. ; Schittny, J. C. Molecular architecture of basement membranes. FASEB J. 4: 1577‐1590; 1990.
Genetic heterogeneity of angiogenesis in mice

Many diseases, including cancer, are dependent on the growth of new blood vessels, a process known as angiogenesis. Differences in an individual's ability to grow new blood vessels may influence the rate of progression of these diseases. Here we show that different strains of inbred mice have an ~ 10‐fold range of response to growth factor‐stimulated angiogenesis in the corneal micropocket assay. The in vitro migratory activity of endothelial cells from aortic rings of selected strains correlated with the in vivo responsiveness. Further, a differential sensitivity to angiogenesis inhibitors was seen between strains, with one strain demonstrating resistance to both TNP‐470 and thalidomide. These results suggest the presence of genetic factors that control individual angiogenic potential. —Rohan, R. M. , Fernandez, A. , Udagawa, T. , Yuan, J., D'Amato, R. J. Genetic heterogeneity of angiogene‐sis in mice. FASEBJ. 14, 871–876 (2000)
Private Management and Public Policy: The Principle of Public Responsibility

Private Management and Public Policy is a landmark work at the intersection of business and society. First published in 1975, it focuses on the management processes that companies use to respond to social issues. The text develops the "principle of public responsibility" as an alternative to the notion that firms have unlimited accountability. And, it presents one of the first systems-based approaches to corporate responsibility, providing theoretical support for business involvement in public policy. Arguably, the book's major contribution is its broad outline of an alternative theory of the firm in society-one that offers the possibility of overcoming traditional public and private dichotomies.
Agent Based Modeling of large-scale socio-technical metal networks

Metals production and consumption networks are complex Large Scale Socio-Technical Systems, consisting of many technical installations, companies operating them, at a global scale, with large environmental impacts. Understanding their dynamics and behavior requires models that are capable of capturing technical, social, economic and other dimensions. Modeling in the metals domain has traditionally focused on technical and metallurgical aspects. Agent Based Modeling (ABM), a relatively new technique in the metals domain, is a tool from the Complex Adaptive Systems field that allows investigation of the change of metals production and consumption networks structure, as they evolve towards a more sustainable state. This paper presents two examples of ABMs of metals networks that illustrate how the modeling technique can be used and the types of insights it offers.
Iron Line Profiles in Strong Gravity 3

We describe a new code which can accurately calculate the relativistic effects which distort the emission from an accretion disc around a black hole. We compare our results for a disk from 6–20 rg in both Schwarzchild and extreme Kerr spacetimes with the two line profile codes which are on general release in the XSPEC spectral fitting package. These are generally accurate at the 10-20% level for this range of radii, but have some drawbacks in terms of assumptions and/or resolution. In particular we show that the assumed form of the angular emissivity law (limb darkening or brightening) can make significant changes to the derived line profile. Lightbending effects are never negligible at these radii, so the observed line is produced from a range of different emitted angles, and this can affect the derived radial emissivity law. The line profile is not simply determined by the well defined (but numerically difficult) physical effects of strong gravity, but is also dependent on the poorly known astrophysics of the disc emission. The inference of direct tapping of the spin energy due to the derived steepness of the radial emissivity in MCG-6-30-15 of Wilms et al. 2001 is dependent on this hidden assumption, so may be premature.
An experimental study on the modeling ability of the IDS method

The ink drop spread (IDS) method has been proposed as a modeling technique for the active learning method. The IDS method, which uses pattern-based processing instead of complex formulas, is able to deal with various modeling targets, ranging from logic operations to complex nonlinear systems. Although the computing structure of the IDS model is characterized by heavy parallel processing on distributed units, its modeling process is simple and efficient and does not require iteration of the same training data set observed in the learning of neural networks. This paper experimentally studies the modeling ability of the IDS method through some typical benchmarks.
A Comparison of Approaches to Detect Deception

Abstract : A promising method to detect deception is the Guilty Knowledge Test (GKT) which assesses whether an individual possesses knowledge about a particular crime. Specifically, the GKT involves a series of questions with multiple answers where one answer is relevant to the crime and the others are not. In theory, if a "suspect" is guilty, s/he will recognize the crime-relevant item and display a physiological orienting response that is discernable from responses to irrelevant items. The most widely studied physiological endpoint in conjunction with the GKT is the galvanic skin response (GSR) which reflects activity of the eccrine sweat gland and represents sympathetic modulation of the autonomic nervous system. Little is known regarding the validity of alternate physiological endpoints or if combined endpoints enhance detection accuracy over GSR alone. In this study we compared different physiological approaches to detect deception with the GKT. Secondarily, we explored sociobehavioral moderators of deception, including values, ethnic identity and resilience. Forty-two military men (age 23.9 +/- 0.4 years) participated in a mock-crime and then completed a 10-question GKT. Endpoints included GSR, heart rate (HR; reflecting vagal modulation), and finger pulse line length (FPLL; a blood pressure waveform calculation reflecting combined sympathetic-parasympathetic modulation). Separate one-way repeated measures ANOVA with five levels compared mean physiological responses to each question. A common scoring procedure (Lykken, 1959) was applied to classify subjects as guilty or innocent for each physiological endpoint. ROC curves were then constructed to assess the diagnostic value of each endpoint and to determine whether combined measures detected guilt more effectively than GSR alone.
Particulate organic nitrates observed in an oil and natural gas production region during wintertime

Abstract. Organic nitrates in both gas and condensed (aerosol) phases were measured during the Uintah Basin Winter Ozone Study from January to February in 2012. A high degree of correlation between total aerosol volume at diameters less than 500 nm and the particulate organic nitrate concentration indicates that organic nitrates are a consistent, if not dominant, fraction of fine aerosol mass. In contrast, a similar correlation with sub-2.5 μm aerosol volume is weaker. The C : N atomic ratio inferred from field measurements of PM2.5 and particulate organic nitrate is 34 : 1. Calculations constrained by the observations indicate that both condensation of gas-phase nitrates and heterogeneous reactions of NO3 / N2O5 are responsible for introducing organic nitrate functionality into the aerosol and that the source molecules are alkanes. Extrapolating the results to urban aerosol suggests organic nitrate production from alkanes may be a major secondary organic aerosol source.
Genomic Disorders: Molecular Mechanisms for Rearrangements and Conveyed Phenotypes

Rearrangements of our genome can be responsible for inherited as well as sporadic traits. The analyses of chromosome breakpoints in the proximal short arm of Chromosome 17 (17p) reveal nonallelic homologous recombination (NAHR) as a major mechanism for recurrent rearrangements whereas nonhomologous end-joining (NHEJ) can be responsible for many of the nonrecurrent rearrangements. Genome architectural features consisting of low-copy repeats (LCRs), or segmental duplications, can stimulate and mediate NAHR, and there are hotspots for the crossovers within the LCRs. Rearrangements introduce variation into our genome for selection to act upon and as such serve an evolutionary function analogous to base pair changes. Genomic rearrangements may cause Mendelian diseases, produce complex traits such as behaviors, or represent benign polymorphic changes. The mechanisms by which rearrangements convey phenotypes are diverse and include gene dosage, gene interruption, generation of a fusion gene, position effects, unmasking of recessive coding region mutations (single nucleotide polymorphisms, SNPs, in coding DNA) or other functional SNPs, and perhaps by effects on transvection.
Growth responses to climate in a multi-species tree-ring network in the Western Carpathian Tatra Mountains, Poland and Slovakia.

We analyzed growth responses to climate of 24 tree-ring width and four maximum latewood density chronologies from the greater Tatra region in Poland and Slovakia. This network comprises 1183 ring-width and 153 density measurement series from four conifer species (Picea abies (L.) Karst. , Larix decidua Mill. , Abies alba (L.) Karst. , and Pinus mugo (L.)) between 800 and 1550 m a.s. l. Individual spline detrending was used to retain annual to multi-decadal scale climate information in the data. Twentieth century temperature and precipitation data from 16 grid-boxes covering the 48-50 degrees N and 19-21 degrees E region were used for comparison. The network was analyzed to assess growth responses to climate as a function of species, elevation, parameter, frequency and site ecology. Twenty ring-width chronologies significantly correlated (P<0.05) with June-July temperatures, whereas the latewood density chronologies were correlated with the April-September temperatures. Climatic effects of the previous-year summer generally did not significantly influence ring formation, whereas site elevation and frequency of growth variations (i.e., inter-annual and decadal) were significant variables in explaining growth response to climate. Response to precipitation increased with decreasing elevation. Correlations between summer temperatures and annual growth rates were lower for Larix decidua than for Picea abies. Principal component analysis identified five dominant eigenvectors that express somewhat contrasting climatic signals. The first principal component contained highest loadings from 11 Picea abies ring-width chronologies and one Pinus mugo ring-width chronology and explained 42% of the network's variance. The mean of these 12 high-elevation chronologies was significantly correlated at 0.62 with June-July temperatures, whereas the mean of three latewood density chronologies, which loaded most strongly on the fourth principal component, significantly correlated at 0.69 with April-September temperatures (P<0.001 over the 1901-2002 period in both cases). These groupings allow for a robust estimation of June-July (1661-2004) and April-September (1709-2004) temperatures, respectively. Comparison with reconstructions from the Alps and Central Europe supports the general rule of the dominant influence of growing season temperature on high-elevation forest growth.
cient eigenvalue calculations in radiative transfer

An e$cient method is used to compute the eigenvalues required in a discrete-ordinates solution to a special class of radiative-transfer problems. The basis for this computation is an algorithm for "nding eigenvalues of a matrix that consists of the sum of a diagonal matrix and a rank-one matrix, a form that can arise in a discrete-ordinates solution of some basic transport problems. To illustrate the e$ciency of the approach, a radiative-transfer problem relevant to a non-gray model with scattering that allows complete frequency redistribution is discussed. ( 1999 Elsevier Science Ltd. All rights reserved.
Motives of reductive groups

Our aim is to prove that the geometric motive with rational coefficients of a split reductive group G over a perfect field decomposes as the symmetric co-algebra object of certain split mixed Tate motives which are computable in terms of the root data of G. Moreover the isomorphism respects the Hopf algebra structures in a weight graded sense. We will also provide explicit decompositions in the case of classical groups.
Study on Internet Congestion Control Algorithm

With the continuous expanding of Internet scale, the network users and application increase rapidly and congestion control has become focus of network study. Several congestion control algorithms have been proposed out and improved for effective reduction of packet loss rate and for better utilization of network bandwidth. After analysis of several reasons causing network congestion, this paper presents detailed analysis and comparison of source algorithm, link algorithm and high-speed network congestion control algorithm, and further discusses the future research direction.
Intelligent Information Processing and Data Mining in the Application of Mobile Learning

This paper introduces the application of intelligent information processing and data mining technology in the mobile learning system, points out the process of intelligent information processing and data mining, discusses the architecture and major algorithm of personalized mobile learning system applying data mining technology. Advance a new algorithm of analyze user data and user interest metric, and give personalized recommendation algorithms. The method in this paper can improve the quality of the personalized mobile learning system by way of practice.
* FIRST DRAFT * Chapter 10 . Gesture Recognition

A primary goal of virtual environments is to support natural, efficient, powerful, and flexible interaction. If the interaction technology is overly obtrusive, awkward, or constraining, the user’s experience with the synthetic environment is severely degraded. If the interaction itself draws attention to the technology, rather than the task at hand, or imposes a high cognitive load on the user, it becomes a burden and an obstacle to a successful virtual environment experience.
Why Do Environmental Taxes Work Better in Developed Countries

We compare of the performance of emission taxes between Colombia and Sweden in an experimental setting where subjects are regulated through environmental taxes and had to decide on emission levels, compliance behavior, and adoption of an environmentally friendly technology. Our design allows us to analyze the role of variations in the stringency of the policy enforcement by regulatory agencies in two different cultural contexts. In line with previous literature that emphasizes the role of social norms and intrinsic motivations explaining compliance behavior, we find that actual emissions and tax underreporting are lower than predicted by traditional models that are solely based on self-interested preferences. However, we find that for an equivalent monitoring stringency, there are no statistically significant differences in emission levels and compliance behavior between Colombian and Swedish subjects. This is to say that despite the positive effect of social norms enhancing compliance, a more stringent enforcement remains as an important mechanism to induce firms to comply with the regulation.
Online People Tracking and Identification with RFID and Kinect

We introduce a novel, accurate and practical system for real-time people tracking and identification. We used a Kinect V2 sensor for tracking that generates a body skeleton for up to six people in the view. We perform identification using both Kinect and passive RFID, by first measuring the velocity vector of person's skeleton and of their RFID tag using the position of the RFID reader antennas as reference points and then finding the best match between skeletons and tags. We introduce a method for synchronizing Kinect data, which is captured regularly, with irregular or missing RFID data readouts. Our experiments show centimeter-level people tracking resolution with 80% average identification accuracy for up to six people in indoor environments, which meets the needs of many applications. Our system can preserve user privacy and work with different lighting.