Miracle-dz/UniFAR-FTUs huggingface dataset:
Supervised Link Prediction in Bipartite Networks

A ubiquitous challenge in the analysis of networks is predicting what new connections will be created in a particular graph at some point in the future. Being able to predict such connections with accuracy has many important practical uses including national defense, where links between terrorists can be deduced from an existing network [5], security, where links might be able to predict future credit card frauds, and social networks, where potential friend relationships could be predicted [1]. Link prediction also can be mutated into variants such as link recommendation (e.g. the “Find Friends” feature in Facebook listing potential acquaintances), link anomaly detection, and other applications. Current research focuses on link prediction on graphs with one type of node, such as predicting links in a social network made up of people only. We looked at modifying algorithms that are used for these types of graphs so they can be applied to bipartite graphs. In particular, we created a bipartite graph from the Yelp Challenge dataset by connecting users to businesses by the reviews they wrote and then attempted to predict new edges (i.e. reviews) at a later time. We applied several classes of algorithms for link prediction on this bipartite graph: scores based on similarity metrics, scores based on matrix completion, supervised and unsupervised random walks, and a binary supervised classifier.
Deregulated miRNAs in Hereditary Breast Cancer Revealed a Role for miR-30c in Regulating KRAS Oncogene

Aberrant miRNA expression has been previously established in breast cancer and has clinical relevance. However, no studies so far have defined miRNAs deregulated in hereditary breast tumors. In this study we investigated the role of miRNAs in hereditary breast tumors comparing with normal breast tissue. Global miRNA expression profiling using Exiqon microarrays was performed on 22 hereditary breast tumors and 15 non-tumoral breast tissues. We identified 19 miRNAs differentially expressed, most of them down-regulated in tumors. An important proportion of deregulated miRNAs in hereditary tumors were previously identified commonly deregulated in sporadic breast tumors. Under-expression of these miRNAs was validated by qRT-PCR in additional 18 sporadic breast tumors and their normal breast tissue counterparts. Pathway enrichment analysis revealed that deregulated miRNAs collectively targeted a number of genes belonging to signaling pathways such as MAPK, ErbB, mTOR, and those regulating cell motility or adhesion. In silico prediction detected KRAS oncogene as target of several deregulated miRNAs. In particular, we experimentally validated KRAS as a miR-30c target. Luciferase assays confirmed that miR-30c binds the 3′UTR of KRAS transcripts and expression of pre-miR-30c down-regulated KRAS mRNA and protein. Furthermore, miR-30c overexpression inhibited proliferation of breast cancer cells. Our results identify miRNAs associated to hereditary breast cancer, as well as miRNAs commonly miss-expressed in hereditary and sporadic tumors, suggesting common underlying mechanisms of tumor progression. In addition, we provide evidence that KRAS is a target of miR-30c, and that this miRNA suppresses breast cancer cell growth potentially through inhibition of KRAS signaling.
Using propinquital loops to blend social media and offline spaces: a case study of the ALS Ice-Bucket Challenge

The social media phenomenon of the amyotrophic lateral sclerosis (ALS) Ice-Bucket Challenge attracted more than 3 million donors to upload 1.2 million Facebook videos and give more than US$115 million. In fundraising terms, it was a social media anomaly. This article applies Kent and Taylor’s dialogic theoretical component of propinquity (immediacy of presence, temporal flow and engagement) to explore how the ALS Ice-Bucket Challenge leveraged a propinquital loop (and subsequent chain), to enable participants to move between social media and offline spaces, while creating relational elasticity between participant and cause. Propinquity and its function within a social media context is an area of research that has not yet been greatly considered in the literature, yet may have the potential of informing public relations professionals from the non-profit sector and more widely about social media practice.
Weakly supervised human body detection under arbitrary poses

In this work we study the problem of weakly supervised human body detection under difficult poses (e.g., multiview and/or arbitrary poses) within the framework of multi-instance learning (MIL). We first point out the existence of the so-called “vanishing gradient” problem in MIL with a noisy-or rule as its bagging model. This is mainly due to the independence assumption of the noisy-or rule, which significantly reducing the magnitude of gradient under a weak initial instance-level model. To address this issue, we propose an iterative selective MIL method in which 1) the noisy-or rule is replaced with the max rule and only a few instances are included for MIL learning for each bag and for each time, and 2) prior knowledge about the positive instances in terms of few fully supervised samples are employed to improve the robustness. The method is shown to outperform the previous state-of-the-art methods by over 20.0% in accuracy. Finally, we present a new large-scale data set called MPHB (Multiple Poses Human Body) for human body detection under arbitrary poses.
Genotyping with a 198 Mutation Arrayed Primer Extension Array for Hereditary Hearing Loss: Assessment of Its Diagnostic Value for Medical Practice

Molecular diagnostic testing of individuals with congenital sensorineural hearing loss typically begins with DNA sequencing of the GJB2 gene. If the cause of the hearing loss is not identified in GJB2, additional testing can be ordered. However, the step-wise analysis of several genes often results in a protracted diagnostic process. The more comprehensive Hereditary Hearing Loss Arrayed Primer Extension microarray enables analysis of 198 mutations across eight genes (GJB2, GJB6, GJB3, GJA1, SLC26A4, SLC26A5, MTRNR1 and MTTS1) in a single test. To evaluate the added diagnostic value of this microarray for our ethnically diverse patient population, we tested 144 individuals with congenital sensorineural hearing loss who were negative for biallelic GJB2 or GJB6 mutations. The array successfully detected all GJB2 changes previously identified in the study group, confirming excellent assay performance. Additional mutations were identified in the SLC26A4, SLC26A5 and MTRNR1 genes of 12/144 individuals (8.3%), four of whom (2.8%) had genotypes consistent with pathogenicity. These results suggest that the current format of this microarray falls short of adding diagnostic value beyond the customary testing of GJB2, perhaps reflecting the array's limitations on the number of mutations included for each gene, but more likely resulting from unknown genetic contributors to this phenotype. We conclude that mutations in other hearing loss associated genes should be incorporated in the array as knowledge of the etiology of hearing loss evolves. Such future modification of the flexible configuration of the Hereditary Hearing Loss Arrayed Primer Extension microarray would improve its impact as a diagnostic tool.
Creation and Embedding of Complex Parameterized Hardware Objects

FLAME, the Flexible API for Module-based Environments, is a proposed standard interface for the integration of parameterized hardware generators into high-level design tools. This work introduces two new developments: The FLAME Primitives Catalog describes the behavior and interface of a set of hardware functions suitable as primitives for automatic compilation. The FLAME Shared Access Conventions define physical connectivity and logical protocols that allow arbitrary hardware modules to access shared resources (such as memory or I/O ports) in a coordinated manner.
Negotiating Racial Dissonance: White Women’s Narratives of Resistance, Engagement, and Transformative Action

Abstract:The purpose of this narrative study was to deconstruct racial identity performance among White women in higher education and student affairs (HESA) graduate preparation programs through an analysis of responses to racial dissonance. Responses included resistance (denial of White privilege), engagement (seeking more knowledge), and transformative action (activism and educating others). Participants also responded with strategies that blended resistance, engagement, and transformative action. Discussion focuses on White women’s responses to racial dissonance as a collective performance of whiteness, offering implications for HESA graduate preparation programs as well as for theory and research.
MicroEye: Visual summary of microblogsphere from the eye of celebrities

Micro-blogging is a new kind of online broadcast medium rising in latest years which is called weibo in China. Every day, weibo users are fed with a large number of incurious micro-blogs. They may also pay close attention to what celebrities concerned about, but they would rather roughly know the summary of micro-blogs the celebrities, however, they can't add attentions to all the celebrities' friends. In this work, we provide weibo users with an overview of the relevant micro-blogs and offer them a visual summary of the micro-blogs that appeal to famous people. Our goal is to help users select their most interested micro-blogs from a large number of micro-blogs.
Protein processing map of poliovirus

Five previously unmapped proteins (5a, 7d, 8, 9b, and 10) were located on the proteolytic processing map of the polyprotein. One of the proteins, 9b, appears to be the sister fragment of a cleavage reaction (P3-9 leads to P3-9b + VPg). Two of the other newly mapped proteins, 8 and 10, have been identified as sister fragments of X-related proteins 3b and 5b; thus, P2-3b leads to P2-8 + P2-5b and P2-5b leads to P2-10 + P2-X. The remaining proteins, 5a and 7d, mapped in the 1b protein and appear to result from the cleavages P3-1b leads to P3-5a + P3-6b and P3-4b leads to P3-7d + P3-6b. These assignments account for over 95% of the total polioviral proteins and complete the mapping of the major processing pathways.
Institutional Hybridity in Public Sector Reform: Replacement, Blending, or Layering of Administrative Paradigms

Despite an abundance of studies on hybridization and hybrid forms of organizing, scholarly work has failed to distinguish consistently between specific types of hybridity. As a consequence, the analytical category has become blurred and lacks conceptual clarity. Our paper discusses hybridity as the simultaneous appearance of institutional logics in organizational contexts, and differentiates the parallel co-existence of logics from transitional combinations (eventually leading to the replacement of a logic) and more robust combinations in the form of layering and blending. While blending refers to hybridity as an “amalgamate” with original components that are no longer discernible, the notion of layering conceptualizes hybridity in a way that the various elements, or clusters thereof, are added on top of, or alongside, each other, similar to sediment layers in geology. We illustrate and substantiate such conceptual differentiation with an empirical study of the dynamics of public sector reform. In more detail, we examine the parliamentary discourse around two major reforms of the Austrian Federal Budget Law in 1986 and in 2007/2009 in order to trace administrative (reform) paradigms. Each of the three identified paradigms manifests a specific field-level logic with implications for the state and its administration: bureaucracy in Weberian-style Public Administration, market-capitalism in New Public Management, and democracy in New Public Governance. We find no indication of a parallel co-existence or transitional combination of logics, but hybridity in the form of robust combinations. We explore how new ideas fundamentally build on – and are made resonant with – the central bureaucratic logic in a way that suggests layering rather than blending. The conceptual findings presented in our paper have implications for the literature on institutional analysis and institutional hybridity.
Minimal phenotype in a girl with trisomy 15q due to t(X;15)(q22.3;q11.2) translocation

Few cases of de novo unbalanced X;autosome translocations associated with a normal or mild dysmorphic phenotype have been described. We report a 3‐year‐old dizygotic female twin with prenatally ascertained increased nuchal translucency. Prenatal chromosome studies revealed nearly complete trisomy 15 due to a de novo unbalanced translocation t(X;15)(q22;q11.2) confirmed postnatally. A mild phenotype was observed with normal birth measurements, minor facial dysmorphic features (hypertelorism, short broad nose, and a relatively long philtrum), and moderate developmental delay at the age of 3 years in comparison to her male fraternal twin. Replication timing utilizing BrdU and acridine‐orange staining showed that the der(X) chromosome was late‐replicating with variable spreading of inactivation into the translocated 15q segment. The der(X) was determined to be of paternal origin by analyses of polymorphic markers and CGG‐repeat at FMR1. Methylation analysis at the SNRPN locus and analysis of microsatellites on 15q revealed paternal isodisomy with double dosage for all markers and the unmethylated SNRPN gene. The Xq breakpoint was mapped within two overlapping BAC clones RP11‐575K24 and RP13‐483F6 at Xq22.3 and the 15q breakpoint to 15q11.2, within overlapping clones RP11‐509A17 and RP11‐382A4 that are all significantly enriched for LINE‐1 elements (36.6%, 43.0%, 26.6%, 22.0%, respectively). We speculate that the attenuated phenotype may be due to inactivation spreading into 15q, potentially facilitated by the enrichment of LINE‐1 elements at the breakpoints. In silico analysis of breakpoint regions revealed the presence of highly identical low‐copy repeats (LCRs) at both breakpoints, potentially involved in generating the translocation. © 2006 Wiley‐Liss, Inc.
Systematic Risk, Debt Maturity, and the Term Structure of Credit Spreads

We build a dynamic capital structure model to study the link between firms' systematic risk exposures and their time-varying debt maturity choices, as well as its implications for the term structure of credit spreads. Compared to short-term debt, long-term debt helps reduce rollover risks, but its illiquidity raises the costs of financing. With both default risk and liquidity costs changing over the business cycle, our calibrated model implies that debt maturity is pro-cyclical, firms with high systematic risk favor longer debt maturity, and that these firms will have more stable maturity structures over the cycle. Moreover, pro-cyclical maturity variation can significantly amplify the impact of aggregate shocks on the term structure of credit spreads, especially for firms with high beta, high leverage, or a lumpy maturity structure. We provide empirical evidence for the model predictions on both debt maturity and credit spreads.
Multimodal Humor in Plenary Lectures in English and in Spanish

Abstract Humor is present in most instances of human to human interaction and has often been studied by discourse analysis (Long and Graesser 2009). These studies have taken several perspectives but have often ignored the multimodal aspect of humor even more if the genres selected have been in oral academic discourse. In this paper we focus on a genre that has rarely been studied, the conference plenary lecture. Taking as a theoretical model Multimodal Discourse Analysis (MDA) we look at the semiotic resources employed by two senior researchers: one Spanish, Dr. Jose Manuel Blecua and one British, Dr David Crystal. They were plenary speakers in two different conferences. In their speeches Dr. Blecua dealt with Spanish as a Foreign language and Dr. Crystal with English as a Foreign language. Although there does not seem to have been any point of contact between them, their lectures show a number of similarities especially with regard to the semiotic resources they use in order to produce humor.
Neutralizing Homelessness, 2015: Tent cities and ten year plans

Since Peter Marcuse published Neutralizing Homelessness in 1988, The United States has undergone a dramatic shift in homeless policy away from the emergency shelter model toward an emphasis on Chronic Homelessness and supportive housing (Del Casino & Jocoy, 2008; DeVerteuil, May, & von Mahs, 2009). As part of this shift, cities across the country were tasked by the federal government with creating “ten year” plans that would lay out a comprehensive set of goals, procedures, and practices for addressing local homelessness (US Departments of Housing and Urban Development, 2003). Ten years later, most cities (including Seattle) have witnessed the number of those lacking stable shelter grow, while affordable housing options continue to dwindle (National Alliance to End Homelessness, 2013). To address this growing disparity, the City of Seattle passed ordinance # 124747 in May of 2014. This ordinance allows transitional encampments to be legally sited on private or public land within the city of Seattle. Central to the city’s justification for the ordinance was the finding that “the current capacity of our housing and homeless services continuum cannot meet the needs of all those who are homeless” (City of Seattle, 2015). This decision is a great accomplishment and a testament to many years of hard work and struggle of homeless individuals and their advocates for the legalization of this most basic form of shelter. However, in the course of advocating for encampments as a shelter of last resort, the fact that many encampment dwellers choose encampments even when other options are available was often lost in the din (Herring, 2014; Murphy, 2009). Here I raise some of those voices above the fray and situate them within a conversation that explores and extends the analysis that Peter Marcuse postulated in his seminal essay “Neutralizing Homelessness” (Marcuse, 1988). Today, the United States once again faces a crisis in homeless policy eerily similar to that which Marcuse observed in 1987. Once again, as real wages stagnate and housing costs skyrocket, cities across the American West are seeking federal help through “declarations of emergency” to address the “worsening homeless crisis” (Beitch, 2015). In response to these crises, both the federal Interagency Council on Homelessness and the Department of Justice have urged cities to consider legalized tent encampments in
A tool for assessing error in digital elevation models from a user’s perspective

A Digital Elevation Model (DEM) is a representation of geographic reality. The elevations recorded within DEMs have been shown to contain errors pertaining to sampling, measurement and interpolation (Fisher, 1998). Even a small amount of elevation error can greatly affect derivative products (Holmes et al., 2000). This can potentially have a significant impact on the application of DEMs in Geographical Information Systems (GIS) where first and second order derivatives are considered.
The Research and Design of Full Digital Magnetic Levitating Bearing Control and Amplifier System

A new conception of full digital control and amplifier system for magnetic levitating bearing is described. It needs good performances such as high control precision, fast response, low noise and high stability, so magnetic levitating bearing control and amplifier system is a real time multi-spots harmonious intellectualized system. In this paper, a switching strategy is described for the magnetic levitating bearing mode of operation. A control strategy is then proposed which introduces a multiple parameters PI and PID arithmetic in the control law. The arithmetic is smart in the sense that it is a function of the rotor states, and varies in a manner that reduces the system power losses and avoids control singularities. The experimental result shows that the DSP-based system features very well
The structure of Rényi entropic inequalities

We investigate the universal inequalities relating the α-Rényi entropies of the marginals of a multi-partite quantum state. This is in analogy to the same question for the Shannon and von Neumann entropies (α=1), which are known to satisfy several non-trivial inequalities such as strong subadditivity. Somewhat surprisingly, we find for 0<α<1 that the only inequality is non-negativity: in other words, any collection of non-negative numbers assigned to the non-empty subsets of n parties can be arbitrarily well approximated by the α-entropies of the 2n−1 marginals of a quantum state. For α>1, we show analogously that there are no non-trivial homogeneous (in particular, no linear) inequalities. On the other hand, it is known that there are further, nonlinear and indeed non-homogeneous, inequalities delimiting the α-entropies of a general quantum state. Finally, we also treat the case of Rényi entropies restricted to classical states (i.e. probability distributions), which, in addition to non-negativity, are also subject to monotonicity. For α≠0,1, we show that this is the only other homogeneous relation.
Consequences of Dust in Metal-rich H II Regions

Dust and associated depletion of heavy elements from the gas phase can modify the thermal properties of HII regions from the dust-free case, with significant consequences for the emergent optical spectrum. We present the results of theoretical calculations illustrating the effects of grains on the spectra of giant, extragalactic HII regions, with emphasis on high metallicity systems (i.e. solar and higher Z). Dust provides a simple explanation for the observational absence of pure Balmer-line spectra that are expected on theoretical grounds for dust-free, chemically enriched nebulae. Grains may also play a role in enhancements of forbidden-line emission observed in HII regions in the enriched nuclei of normal galaxies. In most cases, depletion introduces the strongest perturbations to the optical spectrum. Selective absorption of the ionizing continuum as well as heating by grain photoelectrons are important in some instances, however, and grain heating can be particularly important for enhancing emission in high-ionization lines. Allowing for depletion, the presence of dust is unlikely to introduce large errors in global metallicity indicators, although uncertainties in depletion factors coupled with the sensitivity of infrared cooling to electron density will make accurate calibrations difficult at high Z. The present calculations establish further that previous relative abundance analyses that fail to take into account dust effects in a self-consistent way (grain heating as well as depletion) may overestimate temperature gradients in high-Z nebulae, resulting in errors in relative abundances for different elements.
Semantic Parsing for Biomedical Event Extraction

We propose a biomedical event extraction system, HVS-BioEvent, which employs the hidden vector state (HVS) model for semantic parsing. Biomedical events extraction needs to deal with complex events consisting of embedded or hierarchical relations among proteins, events, and their textual triggers. In HVS-BioEvent, we further propose novel machine learning approaches for event trigger word identification, and for biomedical events extraction from the HVS parse results. Our proposed system achieves an F-score of 49.57% on the corpus used in the BioNLP'09 shared task, which is only two points lower than the best performing system by UTurku. Nevertheless, HVS-BioEvent outperforms UTurku on the extraction of complex event types. The results suggest that the HVS model with the hierarchical hidden state structure is indeed more suitable for complex event extraction since it can naturally model embedded structural context in sentences.