Miracle-dz/UniFAR-FTUs huggingface dataset:
Movitz : Using Common Lisp for kernel-level programming on commodity hardware

We describe the motivation and design of a software platform for kernellevel programming in Common Lisp on the x86 PC architecture. This platform supports the full range of Common Lisp’s dynamic and introspective features, and aims to offer interactive and exploratory programming to operating system kernels and stand-alone systems, while remaining architecturally small and policy free so as not to obstruct any experimentation or system designs. The platform offers a cross-compiler, and aims to provide a viable alternative to the C and assembly-based development that is prevalent in kernel-level programming today. We present our experiences and on-going work with Movitz, its current status and potential as a development platform, and our directions for future work.
Simultaneous image classification and annotation

Image classification and annotation are important problems in computer vision, but rarely considered together. Intuitively, annotations provide evidence for the class label, and the class label provides evidence for annotations. For example, an image of class highway is more likely annotated with words “road,” “car,” and “traffic” than words “fish,” “boat,” and “scuba. ” In this paper, we develop a new probabilistic model for jointly modeling the image, its class label, and its annotations. Our model treats the class label as a global description of the image, and treats annotation terms as local descriptions of parts of the image. Its underlying probabilistic assumptions naturally integrate these two sources of information. We derive an approximate inference and estimation algorithms based on variational methods, as well as efficient approximations for classifying and annotating new images. We examine the performance of our model on two real-world image data sets, illustrating that a single model provides competitive annotation performance, and superior classification performance.
Longitudinal Effects Of Adolescent Dating Violence Victimization: Social, Psychological, And Physical Health Consequences In Adulthood

LONGITUDINAL EFFECTS OF ADOLESCENT DATING VIOLENCE VICTIMIZATION: SOCIAL, PSYCHOLOGICAL, AND PHYSICAL HEALTH CONSEQUENCES IN ADULTHOOD by JENNIFER PIERCE December 2017 Advisor: Dr. Antonia Abbey Major: Psychology (Cognitive, Developmental, and Social Psychology) Degree: Doctor of Philosophy Romantic relationships are important developmental milestones for adolescents; yet negative experiences within them, including adolescent dating violence victimization (ADV), can contribute to poor health. The present study explores the impact of ADV on psychological and physical health as mediated through physical intimate partner violence victimization, perceived relationship quality, and submissive behavior in romantic relationships in adulthood using a subsample from the National Longitudinal Study of Adolescent to Adult Health (Add Health). Participants were assessed across three timepoints (n = 591; 61.1% female). Participants were required to have reported at least one romantic relationship during adolescence, and to have been in an opposite-sex romantic relationship for at least 3 months in early adulthood. ADV was assessed at Timepoint 1 (T1); physical intimate partner violence victimization (IPV), perceived relationship quality, and submissive behavior with a romantic partner were assessed at Timepoint 2 (T2); and depressive symptoms and perceived health were assessed at T2 and Timepoint 3 (T3). Additionally, c-reactive protein was assessed at T3. Structural
Constraints on the parameters of radiatively decaying dark matter from the dark matter halos of the Milky Way and Ursa Minor

Aims. We improve the earlier restrictions on parameters of the dark matter (DM) in the form of a sterile neutrino. Methods. The results were obtained from non-observing the DM decay line in the X-ray spectrum of the Milky Way (using the recent XMM-NewtonPN blank sky data). We also present a similar constraint coming from the recent XMM-Newtonobservation of Ursa Minor ‐ dark, X-ray quiet dwarf spheroidal galaxy. Results. The new Milky way data improve on (by as much as the order of magnitude at masses∼ 3.5 keV) existing constraints. Although the observation of Ursa Minor has relatively poor statistics, the constraints are comparable to those recentl y obtained using observations of the Large Magellanic Cloud or M31. This confirms a recent proposal that dwarf satellites of the MW ar e very interesting candidates for the DM search and dedicated studies should be made to this purpose.
Geodesic Mean Shift

In this paper we introduce a versatile and robust method for analyzing the feature space associated with a given surface. The method is based on the mean-shift operator which was shown to be successful in image and video processing. Its strength stems from the fact that it works in a single space of joint geometry and attributes called the feature-space. The feature-space attributes can be scalar or vector, and are either given (e.g. temperature, pressure) or extracted (e.g. curvature, geodesic centricity). The procedure works as a gradient descent that finds maxima of an estimated probability density function in feature-space. Using this technique on surfaces introduces several difficulties. First, meshes as opposed to images do not present a regular and uniform sampling of the feature-space. Second, on boundary embedded surfaces the shifting procedure must be constrained to stay on the surface, obeying geodesic distances. Based on local parameterizations scheme, we generalize the meanshift procedure to unstructured embedded boundary meshes. Furthermore, we also support piecewise linear attribute definitions and not only piecewise constant by employing hardware-supported area sampling using rasterization. CR Categories: I.3. 5 [Computer Graphics]: Computational Geometry and Object Modeling—Boundary representations; I.4. 6 [Image Processing And Computer Vision ]: Segmentation—Region growing, partitioning G.3 [Probability And Statistics]: Statistical computing
Citizenship behavior and turnover intention: The role of public service motivation and career commitments

This dissertation sought to examine the mechanisms for how public service motivation (PSM) in general, individual PSM dimensions, and career commitments influence organizational citizenship behavior, which, in turn, is shown to be related to the turnover intention of public employees. The dissertation is compiled in three empirical studies. The first empirical work examines how career orientations directly and indirectly relate to the two distinct types of organizational citizenship behaviors (OCBO and OCBI). Towards this end, the study (i) reveals that career orientations influence OCBs differently, largely in line with the differences in employees’ professional and organizational values; (ii) suggests that PSM as an institutional level variable motivates public employees to serve the common good through public institutions; and (iii) contributes to public service motivation and organization research by illustrating individuals’ motivation to serve the public interest as a mechanism that links career orientation and citizenship behavior. By disaggregating PSM into its classic dimensions, the second empirical work emphasizes the relations between PSM dimensions and organizational citizenship behaviors. It contributes to PSM theory and evidence by demonstrating the analytical utility of separately defining the PSM dimensions and their relevance and distinctiveness in order to show differential patterns of relations as salient predictors of the various outcomes of employee behavior. The third empirical chapter seeks to synthesize the relations among PSM, OCB, and turnover intention (TI), thereby shedding some light and enhancing our understanding about the relative importance of the PSM dimensions and career orientations of public employees in determining TI directly and indirectly through OCB. Toward this end, the study (i) emphasizes that differences in public service orientations affect employees’ turnover intentions differently; (ii) suggests that the relation between career orientations and turnover intention depends on the congruence between employees’ values and characteristics of their work environment; and (iii) confirms the mediation effect of OCB between the PSM dimensions, career orientations, and TI of public servants.
An individual patient meta-analysis of five randomized trials assessing the effects of cardiac resynchronization therapy on morbidity and mortality in patients with symptomatic heart failure

Aims Cardiac resynchronization therapy (CRT) with or without a defibrillator reduces morbidity and mortality in selected patients with heart failure (HF) but response can be variable. We sought to identify pre-implantation variables that predict the response to CRT in a meta-analysis using individual patient-data. Methods and results An individual patient meta-analysis of five randomized trials, funded by Medtronic, comparing CRT either with no active device or with a defibrillator was conducted, including the following baseline variables: age, sex, New York Heart Association class, aetiology, QRS morphology, QRS duration, left ventricular ejection fraction (LVEF), and systolic blood pressure. Outcomes were all-cause mortality and first hospitalization for HF or death. Of 3782 patients in sinus rhythm, median (inter-quartile range) age was 66 (58–73) years, QRS duration was 160 (146–176) ms, LVEF was 24 (20–28)%, and 78% had left bundle branch block. A multivariable model suggested that only QRS duration predicted the magnitude of the effect of CRT on outcomes. Further analysis produced estimated hazard ratios for the effect of CRT on all-cause mortality and on the composite of first hospitalization for HF or death that suggested increasing benefit with increasing QRS duration, the 95% confidence bounds excluding 1.0 at ∼140 ms for each endpoint, suggesting a high probability of substantial benefit from CRT when QRS duration exceeds this value. Conclusion QRS duration is a powerful predictor of the effects of CRT on morbidity and mortality in patients with symptomatic HF and left ventricular systolic dysfunction who are in sinus rhythm. QRS morphology did not provide additional information about clinical response. ClinicalTrials.gov numbers NCT00170300, NCT00271154, NCT00251251.
Decision Trees for Uplift Modeling

Most classification approaches aim at achieving high prediction accuracy on a given dataset. However, in most practical cases, some action, such as mailing an offer or treating a patient, is to be taken on the classified objects and we should model not the class probabilities themselves, but instead, the change in class probabilities caused by the action. The action should then be performed on those objects for which it will be most profitable. This problem is known as uplift modeling, differential response analysis or true lift modeling, but has received very little attention in Machine Learning literature. In the paper we present a tree based classifier tailored specifically to this task. To this end, we design new splitting criteria and pruning methods. The experiments confirm the usefulness of the proposed approach and show significant improvement over previous uplift modeling techniques.
An Unusual Case of Recurrent Autoimmune Hypophysitis

Correspondence C. Giavoli, MD Endocrinology UnitDepartment of Medical Sciences Fondazione IRCCS Ospedale Maggiore Policlinico Mangiagalli Regina Elena Via Francesco Sforza, 35 20122 Milan Italy Tel. : + 39 02 50320608 Fax: + 39 02 50320605 claudia.giavoli@unimi.it
Cryptographic hash function Edon-R′

In this paper we describe in details the tweaked cryptographic hash function Edon-R that we denote as Edon-R′. Edon-R was submitted as a candidate for SHA-3 hash competition organized by National Institute of Standards and Technology (NIST). The difference between originally submitted version of Edon-R and version Edon-R′ is in the added feedback to the original compression function R. The feedback consist of xoring the output of the function R with the previous double pipe value and the value of the current message block. Now, Edon-R′ can be seen as a double-pipe PGV7 hash scheme.
Conformal restriction: The chordal case

We characterize and describe all random subsets K of a given simply connected planar domain (the upper half-plane Η, say) which satisfy the conformal restriction” property, i.e., K connects two fixed boundary points (0 and ∞, say) and the law of K conditioned to remain in a simply connected open subset H of H is identical to that of Φ( K ), where Φ is a conformal map from H onto H with Φ(0) = 0 and Φ(∞) = ∞. The construction of this family relies on the stochastic Loewner evolution processes with parameter κ ≤ 8/3 and on their distortion under conformal maps. We show in particular that SLE 8/3 is the only random simple curve satisfying conformal restriction and relate it to the outer boundaries of planar Brownian motion and SLE 6 . See link below.
Anti-Inflammatory Effects of Licorice and Roasted Licorice Extracts on TPA-Induced Acute Inflammation and Collagen-Induced Arthritis in Mice

The anti-inflammatory activity of licorice (LE) and roated licorice (rLE) extracts determined in the murine phorbol ester-induced acute inflammation model and collagen-induced arthritis (CIA) model of human rheumatoid arthritis. rLE possessed greater activity than LE in inhibiting phorbol ester-induced ear edema. Oral administration of LE or rLE reduced clinical arthritis score, paw swelling, and histopathological changes in a murine CIA. LE and rLE decreased the levels of proinflammatory cytokines in serum and matrix metalloproteinase-3 expression in the joints. Cell proliferation and cytokine secretion in response to type II collagen or lipopolysaccharide stimulation were suppressed in spleen cells from LE or rLE-treated CIA mice. Furthermore, LE and rLE treatment prevented oxidative damages in liver and kidney tissues of CIA mice. Taken together, LE and rLE have benefits in protecting against both acute inflammation and chronic inflammatory conditions including rheumatoid arthritis. rLE may inhibit the acute inflammation more potently than LE.
Unique shape detection in transient eddy current problems

Transient excitation currents generate electromagnetic fields which in turn induce electric currents in proximal conductors. For slowly varying fields, this can be described by the eddy current equations, which are obtained by neglecting the dielectric displacement currents in Maxwell’s equations. The eddy current equations are of parabolic–elliptic type. In insulating regions, the field instantaneously adapts to the excitation (elliptic behavior), while in conducting regions, this adaptation takes some time due to the induced eddy currents (parabolic behavior). The subject of this work is to locate the conductor(s) surrounded by a non-conducting medium from electromagnetic measurements, i.e., from knowledge of the excitation currents and measurements of the corresponding electromagnetic fields. We show that the conductors are uniquely determined by the measurements, and give an explicit criterion to decide whether a given point is inside or outside the conducting domain. This criterion serves as a base for rigorously justified non-iterative numerical reconstruction strategies.
The Development of Prospective Memory Across Adolescence: A Behavioural and Event-RelatedPotential Analysis

Remembering to carry out a planned intention in some point in the future (e.g., pass a message to a friend) is an important cognitive function vital for day-to-day functioning. This cognitive function is referred to as Prospective memory (PM) and is considered to be essential for autonomous behaviour. Although there has been extensive research into the decline of PM in older adulthood, little is known about the developmental trajectory of PM throughout adolescence, a time of important brain maturation. Research in the development of PM across adolescence has been limited, and the previous studies that have examined PM development in adolescents have yielded inconsistent findings. Therefore in the present thesis, the development of PM was examined in 85 participants across the following groups: 12to 13-year-olds (n = 22), 14to 15-year-olds (n = 23), 16to 17-year-olds (n = 20), and 18to 19-year-olds (n = 28). A series of three studies were conducted to examine the specific processes that contribute to PM development in adolescence. The aim of Study 1 was to examine the development of PM across adolescence using an event-based PM task that varied in cue frequency. More specifically, a 6-cue (10 min) and a 30-cue (30 min) event-based PM task (with font-colour stimuli as PM cues) and a lexical-decision for the ongoing task were used. By manipulating the cue frequency, this study could clarify the basis of any observed age-related difference of PM performance in adolescence. In addition, a retrospective memory (RM) task (viz., Hopkins Verbal Learning Test Revised [HVLT-R]) was administered to see if RM and PM have a different developmental trajectory in adolescence.
“I Have a Hippopotamus!”: Preparing Effective Early Childhood Environmental Educators

ABSTRACT This article describes an early childhood teacher-preparation program that infuses environmental education and nature experiences into courses, practicum, and student-teaching experiences. Program philosophy, pedagogy, materials, and methods are described and linked to the Early Childhood Environmental Education Programs: Guidelines for Excellence, the Guidelines for the Preparation and Professional Development of Environmental Educators, and state-level early learning guidelines that focus on connecting young children with nature. Preservice teachers build knowledge, skills, and dispositions for effective environmental education beginning from an awareness level and progressing to application and refinement. The value of nature is communicated explicitly and implicitly throughout the program. Preliminary analysis of student outcomes indicated that, over the course of the program, students’ ratings of the importance of nature and science experiences and outcomes increased, along with their confidence implementing environmental-education activities.
Conceptualisation of Intellectual Capital in Analysts’ Narratives: A Performative View

Purpose This study tests the performativity of Intellectual Capital (IC) from the perspective of sell-side analysts, a type of actor who consumes and creates IC information and in whose practice IC information plays a significant role. Design/methodology/approach The empirical component of the study comprises a narrative analysis of the text of a large corpus of sell-side analysts’ initiation coverage reports. We adopt Mouritsen’s (2006) performative and ostensive conceptualisations of IC as our theoretical framework. Findings We find that the identities and properties of IC elements are variable, dynamic and transformative. The relevance of IC elements in the eyes of analysts is conditional on the context, temporally contingent and bestowed indirectly. IC elements are attributed to firm value both directly, in a linear manner, and indirectly, via various non-linear interrelationships established with other IC elements, tangible capital and financial capital. Research limitations/implications This study c.
An Analysis of the Impact of Deposit Rate Ceilings on the Market Values of Thrift Institutions

This paper examines the impact of changes in deposit interest rate regulations on the common stock values of savings and loan institutions. The analysis indicates that stockholder-owned savings and loans (S & L's) have experienced statistically significant declines in equity market values at the announcement of the removal of ceilings on certain consumer (small saver) certificate accounts and the introduction of short term variable rate money market certificates. We find the evidence to be consistent with the hypothesis that S & L's have earned economic rents from restrictions on interest rates paid to small saver accounts, and that relaxation of interest rate ceilings has reduced these rents. A CENTRAL ISSUE IN the economics of regulation is whether regulators behave in a way that primarily benefits the economic agents whose actions they are supposed to regulate. The proposition that regulation is demanded and acquired by the regulated, and that regulations are designed and administered primarily for their benefit was originally put forth by Stigler [19], and has come to be known as the "capture" theory of regulation. An alternative view is that regulators adopt policies which serve some other (perhaps "public," or possibly the regulators' own) interest, and that administration of these policies does not benefit the regulated entities. This paper examines the regulation of savings and loan associations' deposit interest rates and reports evidence pertaining to the impact of the administration of regulation. Regulation of interest rates paid to depositors in federally insured savings and loan associations began in 1966. Since that time, several changes in the maximum allowed interest rates (deposit rate ceilings) have been made. These changes present an opportunity to observe the impact of one form of regulatory action on savings and loan institutions. Deposit rate regulation has been the subject of extensive previous research. The empirical investigations have focused primarily on two issues: (1) the allocational efficiency and wealth redistribution effects of rate ceilings; and (2) the impact of deposit rate ceilings on the flow of funds into the residential
#nowplaying the future billboard: mining music listening behaviors of twitter users for hit song prediction

Microblogs are rich sources of information because they provide platforms for users to share their thoughts, news, information, activities, and so on. Twitter is one of the most popular microblogs. Twitter users often use hashtags to mark specific topics and to link them with related tweets. In this study, we investigate the relationship between the music listening behaviors of Twitter users and a popular music ranking service by comparing information extracted from tweets with music-related hashtags and the Billboard chart. We collect users' music listening behavior from Twitter using music-related hashtags (e.g., #nowplaying). We then build a predictive model to forecast the Billboard rankings and hit music. The results show that the numbers of daily tweets about a specific song and artist can be effectively used to predict Billboard rankings and hits. This research suggests that users' music listening behavior on Twitter is highly correlated with general music trends and could play an important role in understanding consumers' music consumption patterns. In addition, we believe that Twitter users' music listening behavior can be applied in the field of Music Information Retrieval (MIR).
Essential, Illustrative, or ... Just Propaganda? Rethinking John Snow's Broad Street Map

Abstract For more than a century John Snow's iconic map of an 1854 cholera outbreak in the Broad Street area of Soho, London, has been the very definition of how to discover the source of a disease. Some now argue, however, that the map was merely an illustrative and not very imaginative graphic. Here we argue that this position is incorrect. Snow's mapping of the Broad Street outbreak produced a spatial argument that was a critical evidentiary statement. This position requires us to ask, If that is true, is the map in part responsible for Snow's inability to convince contemporaries of his argument that cholera was water-borne and not airborne? In doing so, we use mid-nineteenth-century methodologies to demonstrate that the problem was not in the map but in Snow's handling of the data. This review of a seminal study in the history of disease studies not only informs historical perspective but, in its conclusions, speaks to the utility of medical mapping in contemporary disease studies, where spatializatio.