Miracle-dz/UniFAR-FTUs huggingface dataset:
A Neuroregenerative Human Ensheathing Glia Cell Line with Conditional Rapid Growth

Ensheathing glia have been demonstrated to have neuroregenerative properties but this cell type from human sources has not been extensively studied because tissue samples are not easily obtained, primary cultures are slow growing, and human cell lines are not available. We previously isolated immortalized ensheathing glia by gene transfer of BMI1 and telomerase catalytic subunit into primary cultures derived from olfactory bulbs of an elderly human cadaver donor. These cells escape the replicative senescence characteristic of primary human cells while conserving antigenic and neuroregenerative properties of ensheathing glia, but their low proliferative rate in culture complicates their utility as cell models and their application for preclinical cell therapy experiments. In this study we describe the use of a conditional SV40 T antigen (TAg) transgene to generate human ensheathing glia cell lines, which are easy to maintain due to their robust growth in culture. Although these fast growing clones exhibited polyploid karyotypes frequently observed in cells immortalized by TAg, they did not acquire a transformed phenotype, all of them maintaining neuroregenerative capacity and antigenic markers typical of ensheathing glia. These markers were also retained even after elimination of the TAg transgene using Cre/LoxP technology, although the cells died shortly after, confirming that their survival depended on the presence of the immortalizing genes. We have also demonstrated here the feasibility of using these human cell lines in animal models by genetically marking the cells with GFP and implanting them into the injured spinal cord of immunosuppressed rats. Our conditionally immortalized human ensheathing glia cell lines will thus serve as useful tools for advancing cell therapy approaches and understanding neuroregenerative mechanisms of this unique cell type.
From Speech Recognition to Language and Multimodal Processing

artificial neural networks have been around for over half a century, it was not until year 2010 that they had made a significant impact on speech recognition with a deep form of such networks. This article, based on my keynote talk given at Interspeech conference in Singapore in September 2014, will first reflect on the historical path to this transformative success, after providing brief reviews of earlier studies on (shallow) neural networks and on (deep) generative models relevant to the introduction of deep neural networks (DNN) to speech recognition several years ago. The role of well-timed academic- industrial collaboration is highlighted, so are the advances of big data, big compute, and the seamless integration between the application-domain knowledge of speech and general principles of deep learning. Then, an overview is given on sweeping achievements of deep learning in speech recognition since its initial success. Such achievements, summarized into six major areas in this article, have resulted in across-the-board, industry-wide deployment of deep learning in speech recognition systems. Next, more challenging applications of deep learning, natural language and multimodal processing, are selectively reviewed and analyzed. Examples include machine translation and automatic image captioning, where fresh ideas from deep learning, continuous-space embedding in particular, are shown to be revolutionizing these application areas, albeit with less rapid pace than for speech and image recognition. Finally, a number of key issues in deep learning are discussed and future directions are analyzed for perceptual tasks such as speech, image, and video, as well as for cognitive tasks involving natural language.
Prevalence of Human Papillomavirus in Cancer of the Oropharynx by Gender

Oropharyngeal cancer (OPC) is more frequent in men than women mainly due to the heavier and longer duration of smoking in men. Human papillomavirus (HPV) has a role in the rising incidence of OPC in the United States and other high-income countries. To determine whether there is a difference in the proportion of HPV-attributable OPC between men and women, we systematically retrieved HPV prevalence data from 63 studies reporting separately on OPC by gender. The male/female (M/F) ratios of HPV prevalence in OPC across different countries and the corresponding M/F ratios of cumulative lung cancer risk (a proxy for smoking) were compared. The United States had the highest M/F ratios of HPV prevalence in OPC (1.5). The lowest M/F ratios (≤0.7) were found in Asia and some European countries (e.g., France). The countries in which the M/F ratio of HPV prevalence in OPC was ≥1.0 had the most similar lung cancer risks for men and women. When HPV prevalence data were applied to age-standardized OPC incidence rates in the United States, Australia, the United Kingdom, and France, the M/F ratio for the HPV-positive OPC incidence rates was rather stable (around 4) in all countries. In contrast, the M/F ratio for the HPV-negative OPC incidence rates reached 10.2 in France versus <3 elsewhere. We showed that HPV prevalence in OPC differs by gender and country mainly as a consequence of the vast international variation in male smoking habits. Nevertheless, HPV-positive OPC may affect men more heavily than women in different populations for reasons that are unclear. Cancer Epidemiol Biomarkers Prev; 23(12); 2954–8. ©2014 AACR.
Team Personality Diversity, Group Creativity, and Innovativeness in Organizational Teams

Summary Due to globalization, the division of work in organizations has changed considerably for recent years: Organizations more and more rely on teamwork to guarantee high-quality performance and innovativeness. Beside professional experience and cultural background, one important characteristic on which team members can differ refers to their personality. How does diversity in terms of team members’ personality relate to group-level creativity and innovation? Which personality dimensions, as identified in the traditional Big-Five Personality Inventory, affect individual creativity, together and in combination? How do different compositions at the group-level, of one or more Big-Five Personality traits, relate to group-level creative performance and workplace innovations? These research questions are elaborated upon in this position paper. Keywords: Personality Diversity, Teams, Group Creativity, Innovativeness JEL classification : Y80 Address for correspondence : Myriam Bechtoldt Department of Psychology University of Amsterdam Roetersstraat 15 1018 WB Amsterdam The Netherlands E-mail: M.N. Bechtoldt@uva.nl
It's About Time: The Lifespan of Information Effects in a Multiweek Campaign

I advance a theoretical and empirical framework that puts time and thus the temporal dynamics of candidate evaluation front and center in order to advance our understanding of the lifespan of information effects while enhancing the external validity of our experimental approaches. With these temporal properties in mind, I designed a “panel experiment” with research conducted over 12 weeks. This represents the first experimental approach to combine control over information exposure with attention to information processing throughout the course of a multiweek campaign. Against the backdrop of partisanship, empirical tests assess the ability of transient exposure to issue and character information to produce effects that endure beyond the moment the information is encountered either via memory‐based or on‐line processes. Findings reveal a remarkably limited role for enduring information effects and suggest a “rapid displacement” model of information processing where new information quickly displaces the accumulated stockpile of old information.
Event Detection in Twitter Microblogging

The millions of tweets submitted daily overwhelm users who find it difficult to identify content of interest revealing the need for event detection algorithms in Twitter. Such algorithms are proposed in this paper covering both short (identifying what is currently happening) and long term periods (reviewing the most salient recently submitted events). For both scenarios, we propose fuzzy represented and timely evolved tweet-based theoretic information metrics to model Twitter dynamics. The Riemannian distance is also exploited with respect to words' signatures to minimize temporal effects due to submission delays. Events are detected through a multiassignment graph partitioning algorithm that: 1) optimally retains maximum coherence within a cluster and 2) while allowing a word to belong to several clusters (events). Experimental results on real-life data demonstrate that our approach outperforms other methods.
Folk biology and the anthropology of science: Cognitive universals and cultural particulars

This essay in the “anthropology of science” is about how cognition constrains culture in producing science. The example is folk biology, whose cultural recurrence issues from the very same domain-specific cognitive universals that provide the historical backbone of systematic biology. Humans everywhere think about plants and animals in highly structured ways. People have similar folk-biological taxonomies composed of essence-based, species-like groups and the ranking of species into lower- and higher-order groups. Such taxonomies are not as arbitrary in structure and content, nor as variable across cultures, as the assembly of entities into cosmologies, materials, or social groups. These structures are routine products of our “habits of mind,” which may in part be naturally selected to grasp relevant and recurrent “habits of the world. ” An experiment illustrates that the same taxonomic rank is preferred for making biological inferences in two diverse populations: Lowland Maya and Midwest Americans. These findings cannot be explained by domain-general models of similarity because such models cannot account for why both cultures prefer species-like groups, although Americans have relatively little actual knowledge or experience at this level. This supports a modular view of folk biology as a core domain of human knowledge and as a special player, or “core meme,” in the selection processes by which cultures evolve. Structural aspects of folk taxonomy provide people in different cultures with the built-in constraints and flexibility that allow them to understand and respond appropriately to different cultural and ecological settings. Another set of reasoning experiments shows that Maya, American folk, and scientists use similarly structured taxonomies in somewhat different ways to extend their understanding of the world in the face of uncertainty. Although folk and scientific taxonomies diverge historically, they continue to interact. The theory of evolution may ultimately dispense with the core concepts of folk biology, including species, taxonomy, and teleology; in practice, however, these may remain indispensable to doing scientific work. Moreover, theory-driven scientific knowledge cannot simply replace folk knowledge in everyday life. Folk-biological knowledge is not driven by implicit or inchoate theories of the sort science aims to make more accurate and perfect.
TT virus infection in patients with chronic hepatitis B or C: Influence on clinical, histological and virological features

Concomitant infection with TT virus and hepatitis B virus (HBV) or hepatitis C virus (HCV) is common. However, the effect of TTV infection on chronic hepatitis B or C is unknown. The prevalence of TTV infection, the effect of TTV infection on the clinical, histological and virological features of patients with chronic hepatitis B or C, and the influence of TTV infection on the HCV response to interferon alfa therapy were studied. A total of 100 asymptomatic hepatitis B surface antigen carriers, 220 patients with HBV‐related chronic liver diseases, and 110 patients with chronic hepatitis C treated with interferon alfa (3 million units subcutaneously three times a week for 24 weeks) were enrolled. Serum HCV RNA and serum TTV DNA were detected by the polymerase chain reaction (PCR). Serum HBV DNA and serum HCV RNA level were quantified by branched DNA assays. Infection with TTV was detected in 21.5% of HBV carriers and 37% of HCV carriers. TTV infection had little effect on the clinicopathological course of chronic HBV infection. In chronic hepatitis C, clinical features, histological severity, serum HCV RNA levels, and the response to interferon alfa therapy did not differ between those with and without TTV infection. The loss of serum TTV DNA did not correlate with the biochemical response as did in the loss of serum HCV RNA. In conclusion, TTV infection is found frequently in patients with chronic hepatitis B or C in Taiwan; however, coinfection with TTV does not affect the clinicopathological course of chronic hepatitis B or C and the response to interferon alfa therapy. J. Med. Virol. 60:387–392, 2000. © 2000 Wiley‐Liss, Inc.
Long-Term Metabolic Effects of High Birth Weight: A Critical Review of the Literature

Abstract Recent studies in USA, Europe, and across the world have revealed a continuous increase of mean birth weight in the last 2 decades. Strong evidence exists from several studies indicating that individuals born with a low birth weight are more likely to present cardiometabolic complications in later life. So far, the long-term consequences of high birth weight have not been clearly defined. This review examines the role of high birth weight on the development of cardiometabolic consequences (obesity, body composition, type 2 diabetes mellitus, and cardiovascular disease) in childhood and adulthood. The majority of the studies show that high BW is associated with an increased risk for obesity. To a certain extent high birth weight affects diseases of the heart and circulatory, but does not constitutes a risk for the development of type 2 diabetes mellitus in the general population. Maternal glycemia and the subsequent fetus hyperinsulinemia appear to be the key component for increased fetal growth. With the increase in incidence of diabetes mellitus and obesity over the years, the number of high birth weight infants is likely to increase. The elucidation of the relationship between high birth weight and the cardiometabolic disorders will be particularly important.
Predictors of acculturation attitudes among professional Chinese immigrants in the Australian workplace.

Professional Chinese immigrants (PCIs) are expected to substantially contribute to the relief of skills shortage and the bolstering of Australia’s economic and social development. However, they have encountered many adjustment difficulties arising from cultural and social differences after entering into the Australian workplace. There is a dearth of research to shed light on the adaptation of PCIs in Australia. To bridge this gap, this paper investigates PCIs’ acculturation preference and explores the predictors of each acculturation attitude. Our survey of a sample of 220 PCIs revealed that PCIs have a predominant preference to maintain their home culture, whereas logistic regressions revealed that length of residence in the host country, English proficiency, perceived social support at work and interdependent self-construal could predict the acculturation choices among PCIs. This study provides valuable information for managers and organizations in developing effective acculturation programs to assist immigrant employees with adaptation to a new workplace.
Workplace psychological aggression: Resolving the battle of competing constructs

by Wendi Lee Benson, Ph.D. Washington State University May 2013 Chair: Tahira M. Probst Current research on workplace psychological aggression (WPA) is fragmented, with some researchers stressing the importance of studying unique constructs and others emphasizing the similarities among constructs and the need to unify the theory of WPA. To date, no research has empirically examined the similarities and uniqueness of WPA constructs. This study addressed the current gap in research by examining the overlap of commonly studied WPA constructs (i.e., bullying, incivility, and abusive supervision) in terms of factor structure, outcomes, and context. Results from this cross-sectional survey study using a sample of n = 750 working college students suggest there is a substantial degree of overlap among measures of bullying, incivility, and abusive supervision (with the supervisor referent removed). Specifically, results indicated a single higher order factor accounted for a significant and substantial proportion of the variance in measures of bullying, incivility, and abusive supervision. There was a similar pattern of relationships between each WPA construct and job related attitudes and burnout. The commonly cited contextual differences among bullying, incivility, and abusive
LV Measurement Device Placement for Load Flow Analysis in MV Smart Grids

This paper deals with the issue of measurement device placement for load flow analysis in medium-voltage (MV) distribution networks. The study is carried out using an innovative measurement algorithm for load flow analysis developed by the authors. It is based on low-voltage (LV) load power measurements applied on a backward/forward algorithm for the load flow resolution. The final aim is to identify the most suitable number and placement of the LV measurement points in order to limit the uncertainty on the power flow estimation to a target value. The proposed approach is based on the uncertainty evaluation of the estimated power flows; a sensitivity analysis is performed in order to assess the uncertainty contribution of each LV power measurement to the estimated power flow upstream of each MV feeder of the distribution network. The LV measurement device placement is presented and discussed in a real case study, i.e., the distribution network of the Ustica Island.
Fast IP-Core Generation in a Partial Dynamic Reconfiguration Workflow

Reconfigurable devices, such as FPGAs, introduce into the design workflow of embedded systems a new degree of freedom: the designer can have the system autonomously modify the functionality carried out by the IP-core according to the application's changing needs while it runs. The Caronte methodology, based on the modular design approach, is a design workflow that allows the creation and the handling of partial dynamic reconfigurable architectures using Xilinx FPGAs. In order to speed up its execution, it is important to succeed in quickly generate the EDK-based systems that the flow requires for the elaboration of the correct partial reconfiguration bitstreams. To achieve this goal, an IP-core generator framework has been developed, it receives as input the VHDL description of the core functionality of a module, automatically produces as output an IP-core suitable to be inserted into an EDK system. This binding can be performed in a faster way than using EDK to re-create each time the entire architecture, exploiting the EDK system creator tool. IP-core generator can be used each time an IP-core has to be created, and not only in a dynamic reconfigurability environment. Several tests are presented to validate the proposed methodology
Zebrafish Models for Human Cancer

For decades, the advancement of cancer research has relied on in vivo models for examining key processes in cancer pathogenesis, including neoplastic transformation, progression, and response to therapy. These studies, which have traditionally relied on rodent models, have engendered a vast body of scientific literature. Recently, experimental cancer researchers have embraced many new and alternative model systems, including the zebrafish (Danio rerio). The general benefits of the zebrafish model for laboratory investigation, such as cost, size, fecundity, and generation time, were quickly superseded by the discovery that zebrafish are amenable to a wide range of investigative techniques, many of which are difficult or impossible to perform in mammalian models. These advantages, coupled with the finding that many aspects of carcinogenesis are conserved in zebrafish as compared with humans, have firmly established a unique niche for the zebrafish model in comparative cancer research. This article introduces methods for generating cancer models in zebrafish and reviews a range of models that have been developed for specific cancer types.
Self-Efficacy for Quad Rugby Skills and Activities of Daily Living

The purpose was to compare quad rugby male athletes with a lesion-matched group of persons without quad rugby experience on self-efficacy expectations for performing quad rugby skills (SEQRS) and activities of daily living (SEADL) skills. Each group contained 15 participants. The experimental design was ex post facto. Mann-Whitney U Tests revealed that quad rugby participants scored significantly higher on all 11 items comprising the SEQRS and 4 of the 28 items comprising SEADL. Correlations between SEQRS and SEADL were . 75 and . 92 for the QR participants and nonparticipants, respectively.
SECULAR GRAVITATIONAL INSTABILITY OF A DUST LAYER IN SHEAR TURBULENCE

We perform a linear stability analysis of a dust layer in a turbulent gas disk. Youdin investigated the secular gravitational instability (GI) of a dust layer using hydrodynamic equations with a turbulent diffusion term. We obtain essentially the same result independently of Youdin. In the present analysis, we restrict the area of interest to small dust particles, while investigating the secular GI in a more rigorous manner. We discuss the time evolution of the dust surface density distribution using a stochastic model and derive the advection–diffusion equation. The validity of the analysis by Youdin is confirmed in the strong drag limit. We demonstrate quantitatively that the finite thickness of a dust layer weakens the secular GI and that the density-dependent diffusion coefficient changes the growth rate. We apply the results obtained to the turbulence driven by the shear instability and find that the secular GI is faster than the radial drift when the gas density is three times as large as that in the minimum-mass disk model. If the dust particles are larger than chondrules, the secular GI grows within the lifetime of a protoplanetary disk.
Cognitive, Emotional, and Language Processes in Disclosure

Previous studies have found that writing about upsetting experiences can improve physical health. In an attempt to explain this phenomenon, 72 first-year college students were randomly assigned to write about either their thoughts and feelings about coming to college or about superficial topics for three consecutive days. Measures of language use within the writing samples and cognitive measures of accessibility and schematic organisation were collected in the weeks before and after writing. As in previous studies, writing about college was found to reduce health centre visits for illness and to improve subjects' grade point average. Text analyses indicated that the use of positive emotion words and changes in words suggestive of causal and insightful thinking were linked to health change. Improved grades, although not linked to these language dimensions, were found to correlate with measures of schematic organisation of college-relevant themes. Implications for using written language to understand cognit.
Mode-switching in semiconductor lasers

In this paper, we experimentally analyze the modal dynamics of quantum-well semiconductor lasers. Modal switching is the dominant feature for semiconductor lasers that exhibit two or several active longitudinal modes in their time-averaged optical spectrum. In quantum-well lasers, these dynamics involve a periodic switching among several longitudinal modes, which follows a well-determined sequence from the bluest to the reddest mode in the optical spectrum. This feature is radically different from the well-known noise-driven mode-hopping occurring in bulk lasers which involves only two main modes. We analyze the differences in modal dynamics for these two kinds of laser by comparing the modal switching statistics and by studying the effects of noise and modulation in the pumping current.