Miracle-dz/UniFAR-FTUs huggingface dataset:
Web-scale k-means clustering

We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web applications. First, we propose the use of mini-batch optimization for k-means clustering. This reduces computation cost by orders of magnitude compared to the classic batch algorithm while yielding significantly better solutions than online stochastic gradient descent. Second, we achieve sparsity with projected gradient descent, and give a fast ε-accurate projection onto the L1-ball. Source code is freely available: http://code.google. com/p/sofia-ml
Dance Movement Instruction: Effects on Spatial Awareness in Visually Impaired Elementary Students

The purpose of the study presented here was to investigate the effects of instruction in dance movement on the spatial awareness of visually impaired elementary students. Sixteen visually impaired students were randomly assigned to two groups. Eight students participated in physical education and received no dance instruction. Eight students received dance instruction in addition to physical education. The Hill Performance Test of Selected Positional Concepts was administered before and after the treatment period. An analysis of variance revealed significant main effects. A Scheffé analysis revealed a significant difference between the pretest and posttest scores of the group that received dance instruction.
Magnetostratigraphy of the Yaha section, Tarim Basin (China): 11 Ma acceleration in erosion and uplift of the Tian Shan mountains

We report a magnetostratigraphic and rock magnetic study of the Yaha section, located on the southern flank of the central Tian Shan mountains, Asia. Our results show a two-fold increase in sedimentation rate as well as marked changes in rock magnetic characteristics ca. 11 Ma. After 11 Ma, sedimentation rate remained remarkably constant until at least 5.2 Ma. These findings are consistent with sedimentary records from other sections surrounding the Tian Shan. We conclude that uplift and erosion of the Tian Shan accelerated ca. 11 Ma, long after the onset of the collision between India and Asia, and that the range rapidly evolved toward a steady-state geometry via a balance between tectonic and erosion processes.
Non-perturbative embedding of local defects in crystalline materials

We present a new variational model for computing the electronic first-order density matrix of a crystalline material in the presence of a local defect. A natural way to obtain variational discretizations of this model is to expand the difference Q between the density matrix of the defective crystal and the density matrix of the perfect crystal, in a basis of precomputed maximally localized Wannier functions of the reference perfect crystal. This approach can be used within any semi-empirical or density functional theory framework.
Learning More Universal Representations for Transfer-Learning

A representation is supposed universal if it encodes any element of the visual world (e.g., objects, scenes) in any configuration (e.g., scale, context). While not expecting pure universal representations, the goal in the literature is to improve the universality level, starting from a representation with a certain level. To improve that universality level, one can diversify the source-task, but it requires many additive annotated data that is costly in terms of manual work and possible expertise. We formalize such a diversification process then propose two methods to improve the universality of CNN representations that limit the need for additive annotated data. The first relies on human categorization knowledge and the second on re-training using fine-tuning. We propose a new aggregating metric to evaluate the universality in a transfer-learning scheme, that addresses more aspects than previous works. Based on it, we show the interest of our methods on 10 target-problems, relating to classification on a variety of visual domains.
How Good are Optimal Cake Divisions ?

We consider the problem of selecting fair divisions of a heterogeneous divisible good among a set of agents. Recent work (Cohler et al., AAAI 2011) focused on designing algorithms for computing optimal—social welfare maximizing (maxsum)—allocations under the fairness notion of envyfreeness. Maxsum allocations can also be found under alternative notions such as equitability. In this paper, we ask: how good are these allocations? In particular, we provide conditions for when maxsum envy-free or equitable allocations are Pareto optimal and give examples where fairness with Pareto optimality is not possible. We also prove that maxsum envyfree allocations have weakly greater welfare than maxsum equitable allocations when agents have structured valuations, and we derive an approximate version of this inequality for general valuations.
Health profile of middle-aged women: The Women's Health in the Lund Area (WHILA) study.

BACKGROUND Middle-aged women experience various health-related problems. The aim of this study was to evaluate the impacts of menopause status and hormone intervention on women's health. METHODS In an ongoing, population-based study, 4943 women, born 1935 to 1945 and living in the Lund area of Southern Sweden, were included in this analysis. They completed a generic questionnaire pertaining to socio-demographic background and current health-related symptoms. Among the cohort, 9% of women were pre-menopausal (PM), 52% were post-menopausal without hormone replacement therapy (PMO) and 39% were current hormone replacement therapy users (PMT). RESULTS Hot flushes and vaginal dryness were strongly related to menopausal status. The prevalence of somatic symptoms worsened progressively from the groups of PM to PMO to PMT. The most abundant complaints were headache and muscle-skeletal-joint problems. A total of 85% of women experienced psychological problems. Contrary to our expectation, a poorer profile of psychological health was found in the PMT group when compared with the PMO group. CONCLUSIONS The high prevalence of symptoms in middle-aged women could be attributed to age, hormonal influence as well as personality.
Requirement of Rac1 and Rac2 Expression by Mature Dendritic Cells for T Cell Priming

Upon maturation, dendritic cells (DCs) acquire the unique ability to activate naïve T cells. We used time-lapse video microscopy and two-photon imaging of intact lymph nodes to showthat after establishing initial contact between their dendrites and naïve T lymphocytes, mature DCs migrate toward the contacted lymphocytes. Subsequently, the DCs tightly entrap the T cells within a complex net of membrane extensions. The Rho family guanosine triphosphatases Rac1 and Rac2 but not Rho itself control the formation of dendrites in mature DCs, their polarized short-range migration toward T cells, and T cell priming.
Exploring the Conflict between Self-Interest and Concern for Others

ii Acknowledgments. iiv Vita . iv List of Tables . vii List of Figures . viii Chapter 1: Introduction . 1 Chapter 2: Study 1 . 33 Chapter 3: Studies 2 and 3 . 44 Chapter 4: Study 4 . 67 Chapter 5: General Discussion. 88 References . 98 Appendix A: Dual Gamble Task Instructions . 125
CAN THE MMPI-2 DISCRIMINATE BETWEEN MILD-MODERATE TBI AND OTHER NEUROLOGIC AND PSYCHIATRIC POPULATIONS?

MMPI-2 maintains an extensive empirical base with psychiatric populations, although more recently, neurologically compromised patients have documented unique elevation patterns. This study examined mild-moderate TBI patients, Alzheimer's Dementia patients, and Psychiatric controls on MMPI-2 scales. Participants included 160 outpatients (TBI n = 26, AD n = 74, Psychiatric n = 60). Controlling for family-wise-error, five ANCOVAs were conducted on five MMPI-2 scales, correcting for age and education. TBI and Psychiatric group means were significantly higher than AD group means for scales Hypochondriasis, Depression, and Hysteria at an alpha of . 01. Results support previous research with mild TBI patients, and further document a unique pattern of elevations in this population.
Effect of carvedilol on survival and hemodynamics in patients with atrial fibrillation and left ventricular dysfunction: retrospective analysis of the US Carvedilol Heart Failure Trials Program.

BACKGROUND Atrial fibrillation (AF) is present in a significant number of patients with congestive heart failure (CHF) caused by left ventricular dysfunction and is associated with significant morbidity and increased mortality rates. Thus it is necessary to establish therapy to improve the outcome in this high-risk population. METHODS We conducted a retrospective analysis of data from the US Carvedilol Heart Failure Trials Program and identified patients with AF at the time of enrollment. In these trials, 1094 patients with at least 3 months of heart failure symptoms and an ejection fraction < or = 0.35 were randomly assigned to receive carvedilol or placebo in a double-blind, stratified program according to performance on an exercise test. RESULTS One hundred thirty-six patients with concomitant AF and CHF were identified during the screening visit (84 assigned to carvedilol and 52 to placebo). Therapy with carvedilol resulted in a significant improvement in left ventricular ejection fraction (from 23% to 33% with carvedilol and from 24% to 27% with placebo, P =.001). The physician global assessment improved in a greater number of patients treated with carvedilol than in those treated with placebo (71% vs 48%, P =.025). A trend toward a reduction in the combined end point of death or CHF hospitalization was also observed (19% in patients treated with placebo and 7% in patients on carvedilol; relative risk, 0.35; 95% confidence interval, 0.12, 1.02; P =.055). CONCLUSIONS In patients with AF complicating CHF, carvedilol significantly improves left ventricular ejection fraction and physician global assessment and probably reduces the combined end point of CHF hospitalizations or death.
Gender differences in Appraisal and Coping: An examination of the situational and dispositional hypothesis

This study investigated gender differences in appraisal and coping among a sample of male and female soccer players. Two hundred and seventy-one participants (male n = 138; female n = 133; M age = 20.16 years, SD = 2.97) rated stress intensity and perceived control, and completed the MCOPE (Crocker & Graham, 1995) in response to three different experimenter defined stress scenarios. Results revealed that the females rated two scenarios with less perceived control and one scenario with higher stress intensity. Gender differences in coping, after controlling for stress intensity and control, were found across the three scenarios. This finding provides tentative support for the dispositional hypothesis. The results suggest that males and females differ in their preference for the use of certain coping strategies and that gender is a moderator in the stress appraisal and coping process.
Link-Rank: a graphical tool for capturing BGP routing dynamics

Failures at the BGP level can have significant impact on the overall Internet. Understanding the behavior of BGP is thus both an important practical challenge and an interesting research problem. To understand the true dynamics, and help interpret the multiple gigabytes of BGP log data, we have developed the "Link-Rank" graphical toolset. Link-Rank weighs the links between autonomous systems by the number of routing prefixes going through each link. Tracing these graphs over time results in a directed graph that shows the weight changes of the logical inter-AS links. From this graph one can easily visualise the complex BGP path changes and also combine views from multiple vantage points, to get a better picture of global routing dynamics. We illustrate the usefulness of Link-Rank by using it to examine BGP routing dynamics in three example cases. These examples show Link-Rank is able to help BGP analysts estimate the scope of routing changes and to reveal important routing dynamics in the presence of superfluous BGP update messages.
Cognitive deficits are a matter of emotional context: Inflexible strategy use mediates context-specific learning impairments in OCD

The present study examines the interplay between cognitive deficits and emotional context in obsessive-compulsive disorder (OCD) and social phobia (SP). Specifically, this study examines whether the inflexible use of efficient learning strategies in an emotional context underlies impairments in probabilistic classification learning (PCL) in OCD, and whether PCL impairments are specific to OCD. Twenty-three participants with OCD, 30 participants with SP and 30 healthy controls completed a neutral and an OCD-specific PCL task. OCD participants failed to adopt efficient learning strategies and showed fewer beneficial strategy switches than controls only in an OCD-specific context, but not in a neutral context. Additionally, OCD participants did not show any explicit memory impairments. Number of beneficial strategy switches in the OCD-specific task mediated the difference in PCL performance between OCD and control participants. Individuals with SP were impaired in both PCL tasks. In contrast to neuropsychological models postulating general cognitive impairments in OCD, the present findings suggest that it is the interaction between cognition and emotion that is impaired in OCD. Specifically, activated disorder-specific fears may impair the flexible adoption of efficient learning strategies and compromise otherwise unimpaired PCL. Impairments in PCL are not specific to OCD.
HOW INDEPENDENT? AN ANALYSIS OF GE13 COVERAGE BY MALAYSIA’S ONLINE NEWS PORTAL COVERAGE

The May 5, 2013, general election in Malaysia may have marked the move of the nation’s alternative news media—online, unlicensed news portals that challenge the hegemony of the party that has ruled the nation since 1957—into the mainstream. Malaysiakini, The Malaysian Insider, and Free Malaysia Today editors pride themselves on their independence and journalistic role as government watchdogs, a role they claim has been abdicated by newspapers and broadcast outlets. This article critiques the self-professed editorial independence of these three online news portals through analysis of their GE13 campaign coverage. This research will expand knowledge about Malaysia’s evolving news environment and will add to research on media coverage of previous Malaysian elections. The study employs two research methods: content analysis and personal interviews with news portal editors and media scholars. Following an overview of Malaysia’s historically hegemonic mainstream news media, the article traces how the Internet facilitated the introduction of Malaysia’s counter-hegemonic online news portals. Its basic research question is: Did Malaysia’s leading independent news portals provide unbiased news coverage of GE13? The hypothesis was that the sites would be negatively biased against the ruling Barisan Nasional coalition and positively biased toward opposition coalition candidates, However, the study found 8.2 percent more positive BN stories than negative BN stories in overall coverage. A greater disparity appeared in opposition coverage, where positive stories as predicted outnumbered negative stories by 56.1 percent. News portals criticized both parties, leading to the conclusion that they add to the political discourse that is requisite for successful participatory democracy.
Annals of the New York Academy of Sciences Human Category Learning 2.0 Brief Review of First-generation Research

During the 1990s and early 2000s, cognitive neuroscience investigations of human category learning focused on the primary goal of showing that humans have multiple category-learning systems and on the secondary goals of identifying key qualitative properties of each system and of roughly mapping out the neural networks that mediate each system. Many researchers now accept the strength of the evidence supporting multiple systems, and as a result, during the past few years, work has begun on the second generation of research questions—that is, on questions that begin with the assumption that humans have multiple category-learning systems. This article reviews much of this second generation of research. Topics covered include (1) How do the various systems interact? (2) Are there different neural systems for categorization and category representation? (3) How does automaticity develop in each system? and (4) Exactly how does each system learn? Cognitive neuroscience investigations of human category learning began in the second half of the 1990s. 1,2 During the ensuing decade, much of this work focused on the primary goal of showing that humans have multiple category-learning systems as well as on the secondary goals of identifying key qualitative properties of each system and roughly mapping out the neural networks that mediate each system. Although this work continues, many researchers now accept the strength of the evidence supporting multiple systems. As a result, during the past few years, work has begun on a second generation of research questions. By second generation , we mean questions that begin with the assumption that humans have multiple category-learning systems. Included in this list are questions such as (1) How do the various systems interact? (2) Do different neural networks mediate categorization and category representation? (3) How does automaticity develop in each system? and (4) Exactly how does each system learn? Although a number of recent publications review work on the first generation of research questions, 3,4 no existing reviews focus on these second-generation questions. This article reviews this more recent work. With the realization that humans might have different category-learning systems that are each adept at learning about different types of category structures came more careful attempts to characterize existing category-learning tasks. One popular nomenclature includes rule-based (RB), information-integration (II), prototype-distortion, and unstructured category-learning tasks. 5 In brief, RB tasks are those where the optimal strategy is easy to verbalize (e.g., long objects are in one category and short objects are …
A circular cylindrical reentrant cavity with a cylindrical circumferential slot as an antenna: an attempt towards miniaturization

A simulation investigation on the circular cylindrical reentrant cavity with axial ridges and a cylindrical circumferential slot is presented. This study indicates that by properly adjusting the dimensions of the ridges and the slot, the size of the cavity can be miniaturized to around 0.3/spl lambda//sub 0/. The simulation results using CST MWS show good agreement with past theoretical predictions and provide useful insight into fundamental concerns associated with electrically small antennas.
Decimation of finite-difference time-domain schemes in 1D and 2D boundary-absorbing acoustic model simulations

A decimated version of a broad family of Finite-Difference Time-Domain schemes is derived by an algebraic rearrangement of their matrix formulation, allowing for computing the grid nodes at half the temporal steps compared to the original scheme. This rearrangement can ask for solving a generalized matrix inversion problem. The decimated scheme generates solutions having comparable accuracy to that exhibited by the original simulations. However, the broader applicability of the proposed technique requires to solve currently unanswered theoretical issues of spatial grid decimation, as well as to make extensive tests using large matrices.
Impact of renewable power integration on VQ stability margin

With the increasing number of grid connected renewable energy sources in power systems, the requirements for in-depth studies to characterise the dynamics of power systems have also intensified. In this paper, the impact of renewable power generators on power system voltage stability is analysed. As the renewable power penetration increases, having adequate levels of reactive power generation in power systems for voltage support is a major challenge. Therefore, in this work, special attention was placed on VQ instability to investigate static voltage stability of a test network embedded with renewable power generation. The impact of different control strategies associated with doubly fed induction generator (DFIG) based wind power generation and solar PV generation on static voltage stability is analysed. The importance of the reactive power capability of the renewable generation systems is emphasised, employing the results related to the test network considered. By comparing the operational characteristics of the DFIG based wind power generation and solar PV generation technologies with conventional synchronous generation, the reduced support given by the renewable power generators for power system static voltage stability is demonstrated using DIgSILENT Power Factory simulated test network.
Structure of nuclear ribonucleoprotein: identification of proteins in contact with poly(A)+ heterogeneous nuclear RNA in living HeLa cells

The processing of heterogeneous nuclear RNA into messenger RNA takes place in special nuclear ribonucleoprotein particles known as hnRNP. We report here the identification of proteins tightly complexed with poly(A)+ hnRNA in intact HeLa cells, as revealed by a novel in situ RNA- protein cross-linking technique. The set of cross-linked proteins includes the A, B, and C "core" hnRNP proteins, as well as the greater than 42,000 mol wt species previously identified in noncross-linked hnRNP. These proteins are shown to be cross-linked by virtue of remaining bound to the poly(A)+ hnRNA in the presence of 0.5% sodium dodecyl sulfate, 0.5 M NaCl, and 60% formamide, during subsequent oligo(dT)-cellulose chromatography, and in isopycnic banding in Cs2SO4 density gradients. These results establish that poly(A)+ hnRNA is in direct contact with a moderately complex set of nuclear proteins in vivo. This not only eliminates earlier models of hnRNP structure that were based upon the concept of a single protein component but also suggests that these proteins actively participate in modulating hnRNA structure and processing in the cell.
A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation

There are early studies to attempt users for psychiatric counseling with chatbot. They lead to changes in drinking habit based on intervention approach via chat bot. The application does not consider the user's psychiatric status through the conversations, continuous user monitoring, and ethical judgment in the intervention. We contend that more accurate and continuous emotion recognition gives better satisfaction to users who need mental health care. In addition, appropriate clinical psychological response based on ethical responses is as well. We suggest a conversational service for psychiatric counseling that is adapted methodologies to understand counseling contents based on of high-level natural language understanding (NLU), and emotion recognition based on multi-modal approach. The methodologies enable continuous observation of emotional changes sensitively. In addition, the case-based counseling response model that combines ethical judgment model provides a suitable response to clinical psychiatric counseling.