Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge accumulation and resolution of data inconsistencies during the integration of microbial information sources

The Internet has emerged as an ever-increasing environment of multiple heterogeneous and autonomous data sources that contain relevant but overlapping information on microorganisms. Microbiologists might therefore seriously benefit from the design of intelligent software agents that assist in the navigation through this information-rich environment, together with the development of data mining tools that can aid in the discovery of new information. These applications heavily depend upon well-conditioned data samples that are correlated with multiple information sources, hence, accurate database merging operations are desirable. Information systems designed for joining the related knowledge provided by different microbial data sources are hampered by the labeling mechanism for referencing microbial strains and cultures that suffers from syntactical variation in the practical usage of the labels, whereas, additionally, synonymy and homonymy are also known to exist amongst the labels. This situation is even complicated by the observation that the label equivalence knowledge is itself fragmentarily recorded over several data sources which can be suspected of providing information that might be both incomplete and incorrect. This paper presents how extraction and integration of label equivalence information from several distributed data sources has led to the construction of a so-called integrated strain database, which helps to resolve most of the above problems. Given the fact that information retrieved from autonomous resources might be overlapping, incomplete, and incorrect, much energy was spent into the completion of missing information, the discovery of new associations between information objects, and the development and application of tools for error detection and correction. Through a thorough evaluation of the different levels of incompleteness and incorrectness encountered within the incorporated data sources, we have finally given proof of the added value of the integrated strain database as a necessary service provider for the seamless integration of microbial information sources.
Understanding French Language Anxiety in Grade 4-8 Classrooms

My research explores French Language Anxiety (FL anxiety) among students in Grades 4 to 8, and examines the ways in which it can affect student acquisition and achievement while in FL learning environments. Specifically, the research looks at the ways in which FL anxiety can affect students academically, socially, cognitively, behaviourally, personally, and in their quality of communication while learning French. In addition to this, the research investigates how teachers come to recognize FL anxiety in their students and how they can support these students to help them reach their highest potentials in FL programs. In order to collect data for this research, I consulted a variety of rich sources which offered various perspectives on the topic. I began with a literature review, focusing on qualitative research conducted in FL learning environments. Next, I conducted three semi-structured interviews with Grade 4-8 French teachers from the Toronto District School Board in order to gather first-hand information from experienced educators. My research to date has uncovered many causes of FL Anxiety in the classroom, which include but are not limited to oral and writing tasks, and a fear a failure while learning French. Research on FL anxiety has become increasingly important as it is a factor in students’ motivation to pursue FL education beyond middle school. By exploring FL anxiety, educators can become more aware of how to better recognize, accommodate and support students who experience it.
Entrepreneurial Success, Knowledge Workers Plateauing and Turnover: The Impact of Relatedness

Knowledge workers retention is increasingly being recognized as a source of entrepreneurial success. Thus, we argue that the sustainability of such knowledge-based success depends on the effective and efficient management of knowledge workers plateauing and turnover. This study therefore sought to examine why knowledge workers experience career plateauing and show intention to quit, and the relationship between entrepreneurial success and the type of plateauing/turnover. The data generated were analysed using Z-score and regression analysis. It was found that reduced organizational hierarchies, reduced promotion opportunities, and fewer competitive positions are the factors that influence plateauing, while entrepreneurial success has a negative relationship with the significant types of plateauing. Also, lack of recognition/competitive reward system, inadequate training/development opportunities, and managerial/leadership style are the factors that influence turnover, while a negative relationship was found to exist between entrepreneurial success and the significant types of turnover. It is therefore pertinent for managers to assess and understand the factors influencing plateauing and turnover, and the types of plateauing and turnover that are prevalent in their enterprises. This knowledge will certainly help to minimize the effects of the factors and types of plateauing/ turnover on entrepreneurial success.
Segmenting and Understanding Publics in a Social Media Information Sharing Network: An Interactional and Dynamic Approach

ABSTRACT This study segments social media publics and analyzes their informational behaviors during organizational crises. With a public-centric perspective, our study highlights how social media publics interact with each other (i.e., interdependence) and share different information through crisis stages (i.e., dynamics). Following the situational approach to segmentation, we identify different types of social media publics (i.e., influentials, broadcasters, and followers) based on their informational behaviors and their positions in an information sharing network. Crisis managers are recommended to pay more attention to publics with higher influence, namely key influentials and broadcasters. In addition, we try to understand social media publics’ changing concerns by analyzing whether and how publics share messages of different themes and forms in different stages of a crisis. Crisis managers are recommended to customize crisis communication content to fit publics’ needs, prioritize organizational resources, and maximize positive communication effect. With big data from Chipotle’s E. coli crisis, we analyzed the Twitter activities surrounding this crisis over a 6-month period. Our segmentation receives initial support from the network analysis and content analysis on the Twitter data, which lays the foundation for effective social media crisis management.
GP-based methodology for HW/SW co-synthesis of multiprocessor embedded systems with increasing number of individuals obtained by mutation

In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presented. Genotype is a tree which nodes include system construction procedures. Thus the design methodology is evolving. Next generations are obtained using genetic operators: mutation, reproduction and crossover. Unlike other algorithms in presented methodology number of individuals obtained by mutation operator is not const. Therefore number of individuals in each population is increasing. The size of final generation is found by the algorithm.
Acute Epidural Hematoma Compressing the Dominant Sigmoid Sinus as an Unusual Cause of Intracranial Hypertension: Case Report and Review of Literature

Post traumatic dural sinus vein stenosis has been rarely described in pediatric population. We present a case of a 9-year-old child that had sustained a head injury after a fall from height causing an acute epidural hematoma compressing the dominant sigmoid sinus. The patient had developed sub acutely signs and symptoms of increased intracranial pressure. Prophylactic treatment with anticoagulants was initiated despite the presence of an intracranial bleeding. Clinical and radiological improvements were achieved. We had also reviewed the literature regarding this uncommon entity and discussed other existing diagnostic and therapeutic alternatives. Further gathering of information is essential in order to form a therapeutic protocol.
Impact of Triple-Negative Breast Cancer Phenotype on Prognosis in Patients with Stage I Breast Cancer

Purpose Although most patients with stage I breast cancer have a good prognosis, their clinical outcomes may vary significantly. We assessed clinical outcomes and prognostic factors in stage I breast cancer patients with and without triple-negative breast cancer (TNBC) phenotype. Methods Of 2,489 patients undergoing breast cancer surgery between January 1998 and December 2002, 554 (22.3%) had stage I breast cancer (tumor size ≤2 cm, and lymph node-negative). TNBC was defined as a primary tumor negative for estrogen and progesterone receptors (Allred scores <3/8) and for HER2/neu (0-1+ by immunohistochemistry). Results Of the 554 patients with stage I breast cancer, 78 (14.1%) had TNBC. A significant proportion of TNBC patients had histologic grade 3 tumors (47.4% vs. 34.5%, p=0.031) and tumors >1 cm (87.2% vs. 75.8%, p=0.028) and received adjuvant chemotherapy (79.5% vs. 44.7%, p<0.001). During a median follow-up time of 8.7 years, 72 patients experienced tumor recurrences; 18 (23.1%) in the TNBC group and 54 (11.3%) in the non-TNBC group (p=0.010), with cumulative 3-year rate of recurrence of 12.8% and 5.3%, respectively (p=0.010). Ten-year relapse-free survival (RFS; 75.6% vs. 87.5%, p=0.004) and overall survival (OS; 83.0% vs. 91.4%, p=0.002) rates were significantly lower in the TNBC group. Multivariate analysis showed that triple negativity and histologic grade were independent predictors of shorter RFS and OS. Conclusion TNBC had more aggressive clinicopathologic characteristics and was associated with poorer survival in patients with stage I breast cancer. More intensive adjuvant chemotherapy or a different therapeutic strategy targeting this population is warranted.
REFINED ISOTOPE STRATIGRAPHY ACROSS THE CONTINENTAL PALEOCENE-EOCENE BOUNDARY ON POLECAT BENCH IN THE NORTHERN BIGHORN BASIN

One of the most continuous and best studied continental stratigraphic sections spanning the Paleocene-Eocene boundary is preserved on Polecat Bench in the northern Bighorn Basin. The mammalian biostratigraphy of Polecat Bench sediments has been well documented, and includes a major reorganization of faunas at or near the P-E boundary. To complement the existing biostratigraphy, we measured the isotopic composition of paleosol carbonate nodules at soil-by-soil temporal resolution through the P-E boundary interval. These measurements provide a detailed record of the abrupt, transient, carbon isotope ex- cursion that affected atmospheric and oceanic carbon reservoirs at ca. 55 million years be- fore present (Ma). Tests of soil thickness and diagenesis indicate that trends in the record are primary, and reflect syndepositional changes in the 613C value of atmospheric C02. The carbon isotope record suggests that the 613C value of atmospheric C02 dropped by ca. 8%0 during this interval, and then rebounded. The pattern of change is very similar to that of an independent high-resolution record of Bains et al. (submitted). Changes in the 6180 of paleosol carbonates are consistent with a significant increase in local mean annual tempera- ture during the P-E boundary event. Comparison of biotic and isotopic stratigraphies on Polecat Bench shows that faunal changes at the P-E boundary lag behind major events in the carbon and oxygen isotope records by about 10 thousand years (k.y.).
Is it safe to bring myself to work? Understanding LGBTQ experiences of workplace dignity

Despite increased efforts by more organizations to be seen as “gay-friendly,” workplaces remain challenging sites for LGBTQ employees to navigate. We examine the ways in which LGBTQ employees experience dignity threats in the workplace and the protection strategies they use to deflect those threats. Interviews with 36 LGBTQ working adults revealed that their dignity is threatened by a range of identity-sensitive inequalities that undermine their safety and security when they claim authentic gendered/sexual identities. Specific safety and security threats to dignity include social harm, autonomy violations, career harm, and physical harm. To (re)claim their dignity, they engage in four primary dignity protection strategies: avoiding harm by seeking safe spaces, deflecting harm with sexual identity management, offsetting identity devaluations by emphasizing instrumental value, and creating safe spaces for authenticity and dignity.
Dimensional crossover in dipolar magnetic layers

We investigate the static critical behaviour of a uniaxial magnetic layer, with finite thickness L in one direction, yet infinitely extended in the remaining d dimensions. The magnetic dipole-dipole interaction is taken into account. We apply a variant of Wilson's momentum shell renormalization group approach to describe the crossover between the critical behaviour of the 3D Ising, 2D Ising, 3D uniaxial dipolar, and the 2D uniaxial dipolar universality classes. The corresponding renormalization group fixed points are in addition to different effective dimensionalities characterized by distinct analytic structures of the propagator, and are consequently associated with varying upper critical dimensions. While the limiting cases can be discussed by means of dimensional expansions with respect to the appropriate upper critical dimensions, respectively, the crossover features must be addressed in terms of the renormalization group flow trajectories at fixed dimensionality d .
REPRODUCING KERNEL HILBERT SPACES IN LEARNING THEORY: THE SPHERE AND THE HYPERCUBE

We analyze the regularized least square algorithm in learning theory with Reproducing Kernel Hilbert Spaces (RKHS). Explicit convergence rates for the regression and binary classification problems are obtained in particular for the polynomial and Gaussian kernels on the n-dimensional sphere and the hypercube. There are two major ingredients in our approach: (i) a law of large numbers for Hilbert space-valued random variables; (ii) Mercer’s theorem and the spectrum of the integral operator associated with the given reproducing kernel.
Panoramic mosaics by manifold projection

As the field of view of a picture is much smaller than our own visual field of view, it is common to paste together several pictures to create a panoramic mosaic having a larger field of view. Images with a wider field of view can be generated by using fish-eye lens, or panoramic mosaics can be created by special devices which rotate around the camera's optical center (Quicktime VR, Surround Video), or by aligning, and pasting, frames in a video sequence to a single reference frame. Existing mosaicing methods have strong limitations on imaging conditions, and distortions are common. Manifold projection enables the creation of panoramic mosaics from video sequences under more general conditions, and in particular the unrestricted motion of a hand-held camera. The panoramic mosaic is a projection of the scene into a virtual manifold whose structure depends on the camera's motion. This manifold is more general than the customary projections onto a single image plane or onto a cylinder. In addition to being more general than traditional mosaics, manifold projection is also computationally efficient, as the only image deformations used are image plane translations and rotations. Real-time, software only, implementation on a Pentium-PC, proves the superior quality and speed of this approach.
Preoperative chemoradiotherapy for esophageal or junctional cancer.

BACKGROUND The role of neoadjuvant chemoradiotherapy in the treatment of patients with esophageal or esophagogastric-junction cancer is not well established. We compared chemoradiotherapy followed by surgery with surgery alone in this patient population. METHODS We randomly assigned patients with resectable tumors to receive surgery alone or weekly administration of carboplatin (doses titrated to achieve an area under the curve of 2 mg per milliliter per minute) and paclitaxel (50 mg per square meter of body-surface area) for 5 weeks and concurrent radiotherapy (41.4 Gy in 23 fractions, 5 days per week), followed by surgery. RESULTS From March 2004 through December 2008, we enrolled 368 patients, 366 of whom were included in the analysis: 275 (75%) had adenocarcinoma, 84 (23%) had squamous-cell carcinoma, and 7 (2%) had large-cell undifferentiated carcinoma. Of the 366 patients, 178 were randomly assigned to chemoradiotherapy followed by surgery, and 188 to surgery alone. The most common major hematologic toxic effects in the chemoradiotherapy-surgery group were leukopenia (6%) and neutropenia (2%); the most common major nonhematologic toxic effects were anorexia (5%) and fatigue (3%). Complete resection with no tumor within 1 mm of the resection margins (R0) was achieved in 92% of patients in the chemoradiotherapy-surgery group versus 69% in the surgery group (P<0.001). A pathological complete response was achieved in 47 of 161 patients (29%) who underwent resection after chemoradiotherapy. Postoperative complications were similar in the two treatment groups, and in-hospital mortality was 4% in both. Median overall survival was 49.4 months in the chemoradiotherapy-surgery group versus 24.0 months in the surgery group. Overall survival was significantly better in the chemoradiotherapy-surgery group (hazard ratio, 0.657; 95% confidence interval, 0.495 to 0.871; P=0.003). CONCLUSIONS Preoperative chemoradiotherapy improved survival among patients with potentially curable esophageal or esophagogastric-junction cancer. The regimen was associated with acceptable adverse-event rates. (Funded by the Dutch Cancer Foundation [KWF Kankerbestrijding]; Netherlands Trial Register number, NTR487.).
Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information

The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both implicit and explicit solutions: the latent variable model, or alternatively, the label encoding approach with global information. Although the two approaches compete with one another, we demonstrate that these approaches are also complementary. By combining these two approaches, experiments revealed that the proposed abbreviation generator achieved the best results for both the Chinese and English languages. Moreover, we directly apply our generator to perform a very different task from tradition, the abbreviation recognition. Experiments revealed that the proposed model worked robustly, and outperformed five out of six state-of-the-art abbreviation recognizers.
A Study and Preliminary Model of Cross-Domain Influences on Creativity

This paper takes a two-pronged approach to investigate the phenomenon of cross-domain influence on creativity. We present a study in which creative individuals were asked to list influences on their creative work. More than half the listed influences were unrelated to their creative domain, thus demonstrating empirically that cross-domain influence is widespread. We then present a preliminary model of exaptation, a form of cross-domain influence on creativity in which a different context suggests a new use for an existing item, using an example from the study.
Different experimental approaches in modelling cataractogenesis

Different experimental approaches in modelling cataractogenesis Cataract, the opacification of eye lens, is the leading cause of blindness worldwide. At present, the only remedy is surgical removal of the cataractous lens and substitution with a lens made of synthetic polymers. However, besides significant costs of operation and possible complications, an artificial lens just does not have the overall optical qualities of a normal one. Hence it remains a significant public health problem, and biochemical solutions or pharmacological interventions that will maintain the transparency of the lens are highly required. Naturally, there is a persistent demand for suitable biological models. The ocular lens would appear to be an ideal organ for maintaining culture conditions because of lacking blood vessels and nerves. The lens in vivo obtains its nutrients and eliminates waste products via diffusion with the surrounding fluids. Lens opacification observed in vivo can be mimicked in vitro by addition of the cataractogenic agent sodium selenite (Na2SeO3) to the culture medium. Moreover, since an overdose of sodium selenite induces also cataract in young rats, it became an extremely rapid and convenient model of nuclear cataract in vivo. The main focus of this review will be on selenium (Se) and its salt sodium selenite, their toxicological characteristics and safety data in relevance of modelling cataractogenesis, either under in vivo or in vitro conditions. The studies revealing the mechanisms of lens opacification induced by selenite are highlighted, the representatives from screening for potential anti-cataract agents are listed.
Learning Classifier System Improvement Based on Probability Driven and Neural Network Driven Approaches

Rule-based systems like Learning Classifier System are widely used in areas where data mining, data classification and pattern recognition tasks are essential. It is often difficult to address the knowledge base of these complex classifier systems, which is usually a set of classifiers. Therefore we use evolutionary processes like genetic algorithms to develop their knowledge base. We provide modified Learning Classifier System enriched by probability model to help build an appropriate knowledge base more effectively. We included a neural network into the action selection process and therefore action can be determined accordingly with a probability model. We provide simulation results which demonstrate efficiency of learning processes to compare these approaches.
On the computational complexity of the LBG and PNN algorithms

This correspondence compares the computational complexity of the pair-wise nearest neighbor (PNN) and Linde-Buzo-Gray (LBG) algorithms by deriving analytical expressions for their computational times. It is shown that for a practical codebook size and training vector sequence, the LBG algorithm is indeed more computationally efficient than the PNN algorithm.
A merged CMOS LNA and mixer for a WCDMA receiver

A low-noise amplifier (LNA) and mixer circuit in 0.35-/spl mu/m CMOS operates at 2.1 GHz. Merging the LNA and mixer lowers the number of transistors in the signal path and thereby also the nonlinearity and power consumption. The circuit meets the specifications for a direct conversion wide-band code-division multiple access (WCDMA) receiver. Its noise figure is 3.4 dB (5kHz to 5MHz), the total conversion gain is 23 dB, the third-order input-referred intercept point is -1.5 dBm, and the local oscillator leakage to the antenna is less than -71 dBm. The fully differential circuit takes 8 mA from a 2.7-V supply.