Miracle-dz/UniFAR-FTUs huggingface dataset:
The GTPase ARFRP1 controls the lipidation of chylomicrons in the Golgi of the intestinal epithelium

The uptake and processing of dietary lipids by the small intestine is a multistep process that involves several steps including vesicular and protein transport. The GTPase ADP-ribosylation factor-related protein 1 (ARFRP1) controls the ARF-like 1 (ARL1)-mediated Golgi recruitment of GRIP domain proteins which in turn bind several Rab-GTPases. Here, we describe the essential role of ARFRP1 and its interaction with Rab2 in the assembly and lipidation of chylomicrons in the intestinal epithelium. Mice lacking Arfrp1 specifically in the intestine (Arfrp1vil−/−) exhibit an early post-natal growth retardation with reduced plasma triacylglycerol and free fatty acid concentrations. Arfrp1vil−/− enterocytes as well as Arfrp1 mRNA depleted Caco-2 cells absorbed fatty acids normally but secreted chylomicrons with a markedly reduced triacylglycerol content. In addition, the release of apolipoprotein A-I (ApoA-I) was dramatically decreased, and ApoA-I accumulated in the Arfrp1vil−/− epithelium, where it predominantly co-localized with Rab2. The release of chylomicrons from Caco-2 was markedly reduced after the suppression of Rab2, ARL1 and Golgin-245. Thus, the GTPase ARFRP1 and its downstream proteins are required for the lipidation of chylomicrons and the assembly of ApoA-I to these particles in the Golgi of intestinal epithelial cells.
Securing Trustworthy Three-Tier Grid Architecture with Spam Filtering

Grid is an emerging technology that aims at utilizing resources efficiently and effectively. The proposed robust three-tier architecture ensures trustworthy resource selection in a grid environment. This architecture is secured by using spam filtering mechanisms and by incorporating spamicity of a node in the computation of its trust value. For this purpose, a network of Anomaly Detection Agents (ADA) is set up at the Regional Resource Administrator (RRA) level which enables collaborative spam detection and filtering. The proposed solution detects and filters spam using layered filters consisting of statistical content-based and origin based spam filters.
Synchronization of Operating Systems in Heterogeneous Testing Environments

Software design generally employs different techniques in different phases for analysis. In the beginning, a new network protocol may be conceptualized and tested in a network simulator. Later on, a prototype of the actual implementation is thoroughly analyzed. Both approaches have their specific upand downsides. Network emulation allows to combine both to gather additional data and facilitate easier prototype testbed layouts. For meaningful analysis however, especially in regard to timing behavior, the simulation has to be real-time capable. This is often not the case for complex simulated scenarios. This diploma thesis designs and implements a synchronization that allows to run any x86 operating system with arbitrarily complex simulations. By encapsulating the OS in the Xen hypervisor, it relieves the simulation from the real-time capability constraint while still maintaining realistic timing behavior.
THE MILKY WAY TOMOGRAPHY WITH SLOAN DIGITAL SKY SURVEY. IV. DISSECTING DUST

We use Sloan Digital Sky Survey (SDSS) photometry of 73 million stars to simultaneously constrain best-fit main-sequence stellar spectral energy distribution (SED) and amount of dust extinction along the line of sight toward each star. Using a subsample of 23 million stars with Two Micron All Sky Survey (2MASS) photometry, whose addition enables more robust results, we show that SDSS photometry alone is sufficient to break degeneracies between intrinsic stellar color and dust amount when the shape of extinction curve is fixed. When using both SDSS and 2MASS photometry, the ratio of the total to selective absorption, RV, can be determined with an uncertainty of about 0.1 for most stars in high-extinction regions. These fits enable detailed studies of the dust properties and its spatial distribution, and of the stellar spatial distribution at low Galactic latitudes (|b| < 30°). Our results are in good agreement with the extinction normalization given by the Schlegel et al. (SFD) dust maps at high northern Galactic latitudes, but indicate that the SFD extinction map appears to be consistently overestimated by about 20% in the southern sky, in agreement with recent study by Schlafly et al. The constraints on the shape of the dust extinction curve across the SDSS and 2MASS bandpasses disfavor the reddening law of O’Donnell, but support the models by Fitzpatrick and Cardelli et al. For the latter, we find a ratio of the total to selective absorption to be RV = 3.0 ± 0.1(random)±0.1 (systematic) over most of the high-latitude sky. At low Galactic latitudes (|b| < 5°), we demonstrate that the SFD map cannot be reliably used to correct for extinction because most stars are embedded in dust, rather than behind it, as is the case at high Galactic latitudes. We analyze three-dimensional maps of the best-fit RV and find that RV = 3.1 cannot be ruled out in any of the 10 SEGUE stripes at a precision level of ∼0.1–0.2. Our best estimate for the intrinsic scatter of RV in the regions probed by SEGUE stripes is ∼0.2. We introduce a method for efficient selection of candidate red giant stars in the disk, dubbed “dusty parallax relation,” which utilizes a correlation between distance and the extinction along the line of sight. We make these best-fit parameters, as well as all the input SDSS and 2MASS data, publicly available in a user-friendly format. These data can be used for studies of stellar number density distribution, the distribution of dust properties, for selecting sources whose SED differs from SEDs for high-latitude main-sequence stars, and for estimating distances to dust clouds and, in turn, to molecular gas clouds.
In Defense of Dominance: PAD Usage in Computational Representations of Affect

Factor-based models of emotion affect are often used in the field of emotion modeling and emotion measurement, in particular the three factor model commonly known as Pleasure, Arousal, and Dominance PAD. This article addresses computational use and usefulness of the third factor, i.e., Dominance. The claim made in this article is that Dominance should be seriously considered when modeling or measuring affect. More concretely, it presents an easy to understand conceptual description of Dominance, followed by cases in which Dominance was instrumental in modeling synthetic affect, as well as cases in which Dominance was instrumental in measuring user affect. Finally, it relates the PAD factor model to appraisal dimensions.
State of psychiatry in Hungary

Hungary has a tradition both in biological psychiatry and psychotherapy, and for decades developed together with neurology. From the mid 1980s the speed of development of psychiatry started lagging behind expected standards. Psychiatric care, research and teaching were hit hard in 2007 by unprecedented closures of facilities and budget reductions. Although suicide rates have decreased since the mid 1980s, the country has still the second highest rate in the European Union. The high prevalence of alcohol use and the rapidly increasing prevalence of illicit drug use contribute to comorbidity and related behavioural issues, including the increased frequency of severe violent events committed by people with psychiatric disorders, which have not been properly addressed. The country expects the first major restructuring of its healthcare starting in 2012 since the major political changes of 1989/1990. The profession, patients and their caregivers should use this opportunity to modernize psychiatry in Hungary.
Object Contour Matching Using the Biorthogonal Wavelet Transform

Object contour matching is essential in content-based indexing and retrieval of digital images. In this paper, an automated biorthogonal-wavelet-transform-based object contour matching method is proposed. First, a wavelet transform modulus maxima (WTMM) image is produced by a one level biorthogonal wavelet transform. This WTMM image contains curvature points of the contour. Then the high curvature points (HCPs) are kept in the WTMM image whereas the less important points are discarded. These HCPs are further utilized to locate the centroid of the object contour. Finally, a feature vector for matching object contour is constructed by the sorted distances between each HCP and the centroid. This feature vector is invariant to the translation, rotation, and scale changes. The experimental results demonstrate that the proposed approach can accurately and efficiently match the object contour under these three changes.
Commentary on "Normal Grief: Good or Bad? Health or Disease?"

Loretta Kopelman argues that "normal" grief is adaptive rather than nonmorally bad and hence best not considered a disease. If grief is not bad, then is it good? Adaptive, as Kopelman makes clear, is not synonymous with good. Clearly some individuals are able to transcend the pain of grief and bereavement to reach a new level of functioning or personal perception. This is commonly seen in individuals who survive a physical illness. Following a myocardial infarction, the hard-driving executive may reevaluate his priorities and begin to enjoy life in a different manner, but it would be wrong to suggest that the myocardial infarction was "good" for him. Some HIV patients report that their illness experience has brought out areas of support from family and friends which were previously unknown. Nevertheless, this deadly virus could never be considered "good. " Kopelman's point, then, is that, in and of itself, grief may be adpative and, to this extent, good. On this model, failure to mourn may be as abnormal as prolonged or unresolved grief (Zisook and Schochter 1993). From a practical point of view, it is helpful to consider the various perspectives on grief (McHugh and Slavney 1983). Both Freud and Pollack viewed grief from the perspective of an individual's life history. This hermeneutic interpretation of subjective experience offers one explanation of how grief may be adaptive or maladaptive. It utilizes an introspective psychology linking meaningful associations with patients' narratives. A second and quite distinct perspective is that of the disease model. This attempts to develop reliable, identifiable syndromes as a basis for establishing the course, prognosis, and possible treatments for distinct diseases. In physical medicine, diseases may be further defined by biological correlates or even specific causes. Comparable disease concepts are more problematic in psychiatry, mostly because the boundaries of mental syndromes seem less circumscribed and more value laden, partly because well defined anatomical and physiological correlates have, in general, not yet been identified. To circumvent such difficulties, DSM-III, IH-R, and IV utilize the term disorder rather than disease (APA 1994). Engel and Hofer advocate viewing grief as a disease, not for reasons of general theory, but for the pragmatic reason that grief is best understood by the medical model (Engel 1961; Hofer 1984). This means, first, that syndromes must be reliably defined and demarcated from other disorders, such as depression. Second, the identification of such syndromes allows us to understand their course and eventual prognoses, as well as
Keynes's Principles of Writing (Innovative) Economics

This paper investigates Keynes’s writings in the 1920s and 30s to uncover his views on the writing of economics, especially the writing of innovative or path-breaking works. His ideas were mainly presented in comments on other economists (particularly Marshall, Jevons and Malthus), and in reflections on his own experiences (chiefly in his 1932-33 lectures and a 1934 draft preface to the General Theory). These ideas are converted into five underlying principles, the implications of which are discussed in terms of their impact on the clarity and interpretation of his writings and of their relevance to all writings in economics.
Learning terrain types with the Pitman-Yor process mixtures of Gaussians for a legged robot

One of the major goals for mobile robots is to be able to traverse any kind of terrains. A possible way to achieve this goal is by the use of legged robots, as they have increased mobility. However, this would require them to be able to modify their gaits, based on the identification of the terrain that they are currently traversing. In this paper, we introduce a number of novel methods to address this issue of autonomous terrain classification and clustering, based on tactile data collected with a walking robot. The proposed learning methods are based on the Pitman-Yor process mixture of Gaussians, a Bayesian nonparametric prior, well-suited for density estimation. This model is initially used to learn the non-Gaussian distribution of the features produced from proprioceptive (force/torque) signals from the legs, registered during the interaction of one robot foot with a terrain. Then, we exploit its capacity on clustering and discovering structures in the data to identify terrains in the feature space. Experiments were conducted on a six-legged robot, thus demonstrating the applicability of the Pitman-Yor process mixture of Gaussians for terrain identification. In particular, we obtained a classification success rate of 82% and 51% accuracy, with our supervised learning and unsupervised learning approach respectively.
The Complex Nature of Asperger’s Syndrome: Assessing Knowledge and Perceptions of School Psychologists

The complex nature of Asperger’s Syndrome (AS) often results in difficulty effectively meeting the needs of individuals with this disorder. Despite advancements in research and increasing focus on this disorder, limited awareness and understanding often result in difficulty identifying and, therefore, adequately supporting individuals with AS. Inadequate or faulty treatment further results from inappropriate diagnosis or failure to recognize psychiatric disorders likely to coexist with AS. This paper provides a literature review of AS and problems resulting from limited awareness, failure to identify or diagnose the disorder, failure to recognize common comorbid conditions, and failure to provide the appropriate supports and services. A description of the research study is presented, along with ethical and multicultural considerations. Finally, recommendations for future research and implications for practitioners are presented. The purpose of the present study was to assess school psychologists’ knowledge and perceptions related to this disorder. Related purposes included assessing levels of knowledge of teachers and professionals working with students with AS, as well as to determine what supports and services are afforded to them. This information was obtained through a survey, which was distributed to a sample of school psychologists. The results of the research study revealed that, whereas school psychologists view themselves as having sufficient knowledge about Asperger’s syndrome, they view many other educational professionals, including general education teachers, as lacking adequate knowledge about the disorder. Another major finding was that, despite student needs in the v COMPLEX NATURE OF ASPERGER’S SYNDROME social, emotional, and communication domains, school psychologists reported that a large number of students were not receiving counseling or speech-language therapy. vi COMPLEX NATURE OF ASPERGER’S SYNDROME
Employee Relations in the Public Services: Themes and Issues

1. From the New Right to New Labour Susan Corby and Geoff White 2. The economic and financial context: The Shrinking state Jean Shaoul 3. The legal context: Public or private? Sandra Fredman 4. The remuneration of public servants: Fair pay or new pay Geoff White 5. Equal opportunities: Fair shares for all? Susan Corby 6. Employment flexibility: Push or pull? Ariane Hegewisch 7. Tendering and outsourcing: Working in the contract state Trevor Colling 8. Quality Management: A new form of control? Miguel Martinez Lucio and Robert MacKenzie 9. Personnel Managers: Managing to change Stephen Bach 10. Trade Unions: The challenge of individualism Hamish Mathieson and Susan Corby
Review of the Robotica software package for robotic manipulators

Robotica is a computer-aided design package for robotic nmanipulators developed at the Coordinated Science Laboratory at the University of Illinois at Urbana- Champaign. The package is a collection of function definitions for the Mathematica symbolic mathematics program. Robotica can be used either with an X- Windows graphical user interface (GUI) on a Sun Workstation or as an included function definition file within Mathematica. The primary feature of Robotica is the ability to compute, symbolically or numerically, the kinematic and dynamic equations of arbitrary robot systems utilizing the standard Denevit-Hartenburg (DH) kinematic convention. Robotica also provides the ability to visualize these arbitrary manipulators using the X- Windows graphical interface to the Mathematica graphics routines. The paper looks at the usage of Robotica at the Air Force Institute of Technology, comments on the features of Robotica, and needs for improvement and suggestions for future development. <<ETX>>
Asymptotic Analysis of the SVD for the Truncated Hilbert Transform with Overlap

The truncated Hilbert transform with overlap $H_T$ is an operator that arises in tomographic reconstruction from limited data, more precisely in the method of differentiated back-projection. Recent work [R. Al-Aifari and A. Katsevich, SIAM J. Math. Anal. , 46 (2014), pp. 192--213] has shown that the singular values of this operator accumulate at both zero and one. To better understand the properties of the operator and, in particular, the ill-posedness of the inverse problem associated with it, it is of interest to know the rates at which the singular values approach zero and one. In this paper, we exploit the property that $H_T$ commutes with a second-order differential operator $L_S$ and the global asymptotic behavior of its eigenfunctions to find the asymptotics of the singular values and singular functions of $H_T$.
Discovery of Path Nearby Clusters in Spatial Networks

The discovery of regions of interest in large cities is an important challenge. We propose and investigate a novel query called the path nearby cluster (PNC) query that finds regions of potential interest (e.g., sightseeing places and commercial districts) with respect to a user-specified travel route. Given a set of spatial objects O (e.g., POIs, geo-tagged photos, or geo-tagged tweets) and a query route q, if a cluster c has high spatial-object density and is spatially close to q, it is returned by the query (a cluster is a circular region defined by a center and a radius). This query aims to bring important benefits to users in popular applications such as trip planning and location recommendation. Efficient computation of the PNC query faces two challenges: how to prune the search space during query processing, and how to identify clusters with high density effectively. To address these challenges, a novel collective search algorithm is developed. Conceptually, the search process is conducted in the spatial and density domains concurrently. In the spatial domain, network expansion is adopted, and a set of vertices are selected from the query route as expansion centers. In the density domain, clusters are sorted according to their density distributions and they are scanned from the maximum to the minimum. A pair of upper and lower bounds are defined to prune the search space in the two domains globally. The performance of the PNC query is studied in extensive experiments based on real and synthetic spatial data.
Multi-resonant silver nano-disk patterned thin film hydrogenated amorphous silicon solar cells for Staebler-Wronski effect compensation

We study polarization independent improved light trapping in commercial thin film hydrogenated amorphous silicon (a-Si:H) solar photovoltaic cells using a three-dimensional silver array of multi-resonant nano-disk structures embedded in a silicon nitride anti-reflection coating to enhance optical absorption in the intrinsic layer (i-a-Si:H) for the visible spectrum for any polarization angle. Predicted total optical enhancement (OE) in absorption in the i-a-Si:H for AM-1.5 solar spectrum is 18.51% as compared to the reference, and producing a 19.65% improvement in short-circuit current density (JSC) over 11.7 mA/cm2 for a reference cell. The JSC in the nano-disk patterned solar cell (NDPSC) was found to be higher than the commercial reference structure for any incident angle. The NDPSC has a multi-resonant optical response for the visible spectrum and the associated mechanism for OE in i-a-Si:H layer is excitation of Fabry-Perot resonance facilitated by surface plasmon resonances. The detrimental Staebler.
Frameshift indels introduced by genome editing can lead to in-frame exon skipping

The introduction of frameshift indels by genome editing has emerged as a powerful technique to study the functions of uncharacterized genes in cell lines and model organisms. Such mutations should lead to mRNA degradation owing to nonsense-mediated mRNA decay or the production of severely truncated proteins. Here, we show that frameshift indels engineered by genome editing can also lead to skipping of “multiple of three nucleotides” exons. Such splicing events result in in-frame mRNA that may encode fully or partially functional proteins. We also characterize a segregating nonsense variant (rs2273865) located in a “multiple of three nucleotides” exon of LGALS8 that increases exon skipping in human erythroblast samples. Our results highlight the potentially frequent contribution of exonic splicing regulatory elements and are important for the interpretation of negative results in genome editing experiments. Moreover, they may contribute to a better annotation of loss-of-function mutations in the human genome.
Construction of Overflow Attacks Based on Attack Element and Attack Template

According to the requirements of effective, credible and controllable for Attack Resistant Test, a standard structure of overflow attacks, and a new method to realize the overflow attacks were built in the paper. By analyzing the characteristics of the process to realize overflow attacks, we extract the attack elements of overflow attacks. Based on the general description of the overflow attack process, we construct the overflow attack template. Supporting by AASL, we realize that using attack element functions and template to build the overflow attack scripts. Empirical results show that the method could ensure the attacks effective, controllable and code quality, reduce the code have to write, and improve the efficiency of development.