Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic factors of second primary contralateral breast cancer in early-stage breast cancer

The aim of the present study was to investigate the therapeutic outcome of early-stage breast cancer (pT1aN0M0) and to identify prognostic factors for secondary primary contralateral breast cancer (CBC). A total of 85 patients with mammary carcinomas were included. All patients had undergone breast surgery and adjuvant treatment between January 2001 and December 2008 at the Central Hospital of Grenoble University (Grenoble, France). The primary end-points were disease-free survival and secondary CBC, and the potential prognostic factors were investigated. During a median follow-up of 60 months, 10 of the 85 patients presented with secondary primary cancer, of which six suffered with CBC. No patient mortalities were reported. The rates of CBC were 2.35, 3.53 and 7.06% at one, two and five years, respectively. The cumulative univariate analysis showed that microinvasion and family history are potential risk factors for newly CBC. The current study also demonstrated that secondary CBC was more likely to occur in patients with microinvasion or a family history of hte dise. In addition, the systematic treatment of secondary CBC should include hormone therapy.
Assay of Progressive Antithrombin in Plasma

Summary A simple two-stage assay of progressive antithrombin activity in plasma is described. After heat defibrination, plasma is diluted VlO in buffer (pH 8.0) and incubated with thrombin for 3 min at 37° C. After incubation, residual thrombin activity is determined with standard substrate (antithrombin clotting time). By substituting buffer for diluted plasma, the buffer clotting time is determined. The antithrombin activity may be calculated from these two clotting times or read from a standard curve. It is expressed in per cent of pooled normal plasma. The range in 36 normal plasmas was 74-116%, the S. D. 11%, and the S. E. M. 5.7%. The combination of simplicity and accuracy makes the present method compare favourably with earlier methods.
Stochastic optimization of microgrids with renewable and storage energy systems

The microgrids can function as a single controllable system in a grid-connected or islanded operation mode. The transition from grid-connected mode to islanded mode can result in microgrid excess generation or demand, which must be spilled or curtailed. This paper proposes an optimization model for optimizing the microgrid operations accounting for distributed energy resources (stochastic generation and time-varying demand), as well as microgrid operation constrains. The objective is to minimize the microgrid operational costs considering the classical generation capacities and exchanged power with the upstream grid, as well the operational constraints. The analyzed microgrid is composed of a thermal engine, a photovoltaic system, an electrochemical storage system, critical and interruptible loads. The deterministic and stochastic optimization model were formulated, and each optimization model is tested in various case studies considering the different operational states of the microgrid.
EGFR-binding peptide: a patent evaluation of WO2014002836

Peptide ligands have many desirable features enabling them to act as drug molecules and are valuable in the drug discovery processes because of their fewer side effects and great potential to cure diseases. In this patent, three kinds of peptide ligands with 12 – 50 amino acid residues were identified by phase display technology. Some of them not only could be used as potential therapeutic agents for the treatment of EGFR–overexpressed cancers, but also show promising application in detecting cancer tissue or cancer cells that express the EGFR.
Critical hydrogen bonding by serine 235 for cephalosporinase activity of TEM-1 beta-lactamase

The role of Ser-235 in the catalytic mechanism of the TEM-1 beta-lactamase has been explored by the study of a mutant enzyme in which Ser-235 has been substituted by alanine (Ala-235 mutant enzyme). A comparative kinetic analysis of both the wild-type and the Ala-235 TEM-1 enzymes revealed little effect of this substitution of residue 235 on the turnover of penicillins but a greater effect on the turnover of cephalosporins. Susceptibility testing of Escherichia coli strains harboring the wild-type TEM-1 beta-lactamase and the Ala-235 mutant enzyme revealed an effect of the mutation similar to that observed in the enzymological studies. The MICs of two representative cephalosporins for the strain containing the mutant enzyme were much lower than those for the isogenic strain bearing the wild-type TEM-1 beta-lactamase. On the other hand, the strain with the mutant enzyme was still highly resistant to penicillins.
Crystal structure and Raman spectrum of a high-pressure Li-rich majoritic garnet , ( Li 2 Mg ) Si

A Li-rich majoritic garnet (LiMGt), (Li2Mg)Si2(SiO4)3, was synthesized at 15 GPa and 1500 °C and its structure studied with single-crystal X-ray diffraction and Raman spectroscopy. It is cubic with space group Ia3d and unit-cell parameters a = 11.2660(2) Å and V = 1429.91(1) Å3. The 8-, 6-, and 4-coordinated cation sites in LiMGt are occupied by (Li+ + Mg2+), Si4+, and Si4+, respectively. Whereas the SiO6 octahedron is nearly regular, the XO8 dodecahedron is the most distorted of all known silicate garnets in terms of the bond-length distortion index. All Raman peaks of LiMGt are broader than those of pyrope, due to the substitution of Li+ for Mg2+ at the dodecahedral site. Furthermore, both Si-O symmetric stretching (A1g-ν1) and O-Si-O symmetric bending (A1g-ν2) modes of LiMGt shift significantly to higher frequencies relative to the corresponding ones of pyrope. In contrast, the A1g-(SiO4) rotational mode of LiMGt displays a much lower frequency than that of pyrope. This study represents the first structural report on a garnet with an all-silicate framework and suggests that, like Na incorporation in garnets, the pressure-dependent coupled substitution of (Li+ + Si4+) for (Mg2+ + Al3+) is likely one of the primary mechanisms for Li enrichment in garnets in the mantle and the transition zone.
Immunoelectron‐microscopic localization of the 180 kD component of the neural cell adhesion molecule N‐CAM in postsynaptic membranes

In order to investigate the expression of cell adhesion molecules in synapses, we have studied the localization of the neural cell adhesion molecule N‐CAM in the cerebellum and hippocampus of adult mice by immunocytological and immunochemical methods. Of the three molecular components of N‐CAM with relative molecular masses (Mr) of 120, 140, and 180 kD, N‐CAM 120 is not detectable in synaptosomal membranes, whereas N‐CAM 140 is expressed on both pre‐ and postsynaptic membranes and N‐CAM 180 is restricted to postsynaptic sites, with localization of the N‐CAM 180‐specific epitope in postsynaptic densities. Specificity of immunoreactivity is indicated by the observation that antibodies to the neural cell adhesion molecule L1 do not label synaptic membranes, whereas antibodies to two major components of postsynaptic densities, actin and erythrocyte spectrin, react with synaptic structures. Interestingly, N‐CAM 180 is only detectable in subpopulations of synapses in the intact tissue. Isolated synaptosomes, opened for unimpeded accessibility of antibody by hypoosmotic treatment, also reveal a partial expression of N‐CAM 180 in that 67% are labeled by antibodies to N‐CAM 180, while antibodies to actin and erythrocyte spectrin react with 95% and 88% of all synaptosomes, respectively. N‐CAM 180 does not appear to be differentially expressed in synapses of a particular morphological type, but is detectable in all types of synapses in the cerebellum and hippocampus, except for mossy fiber synapses and synapses between basket and Purkinje cells, which are generally N‐CAM 180‐negative. Since N‐CAM 180 has been shown to be characteristic of stabilized or stabilizing cell contacts, possibly by its association with the cytoskeleton‐membrane linker protein spectrin (Pollerberg et al.: J. Cell Biol. 101: 1921–1929, '85; Nature 324: 462–465, '86; Cell Tissue Res. 250: 227–236, '87), we would like to suggest N‐CAM 180 plays an important role in determining the stability of contacts between pre‐ and postsynaptic membranes and state of synaptic activity.
Comparative Physical and Genetic Maps of the Virulence Plasmids of Salmonella enterica Serovars Typhimurium, Enteritidis, Choleraesuis, and Dublin

ABSTRACT Using fragment profiling, PCR, and Southern hybridization, we found that Salmonella enterica serovar Choleraesuis harbored virulence plasmids of various sizes, whereas serovars Typhimurium, Enteritidis, and Dublin carried a plasmid of a unique size. Also, the virulence plasmid of Typhimurium contained genes in the same order detected in the other three plasmids, all of which contained deletions.
MPAC: Maximizing Product Adoption considering the profitability of communities

Maximizing product adoption in viral marketing is the task of choosing a small set of seed nodes in a social network so that by their approval to adopt the product, they influence others and lead to large number of adoptions. In this paper, a special case is investigated in which nodes, because of their potential profitability, are not of the same importance to the sales manager. We assign importance weight values to the communities of nodes that are most likely to share the same characteristics and are of the same importance to the seeker of seed nodes. We define MPAC, Maximizing Product Adoption considering the profitability of Communities that is the problem of selecting seed nodes such that the spread of influence results in maximum profit. This is done by activating nodes residing within weighted communities which worth the cost of activating. Three algorithms are proposed to solve MPAC. Our empirical studies on an online social network consisted of 23628 nodes show that one of them outperforms the others by the overall profits gained and as more as the weighting method assigns larger values to small communities, the proposed algorithm performs better.
Strategies to Prevent Surgical Site Infections in Acute Care Hospitals

Previously published guidelines are available that provide comprehensive recommendations for detecting and preventing healthcare-associated infections. The intent of this document is to highlight practical recommendations in a concise format designed to assist acute care hospitals to implement and prioritize their surgical site infection (SSI) prevention efforts. Refer to the Society for Healthcare Epidemiology of America/Infectious Diseases Society of America “Compendium of Strategies to Prevent Healthcare-Associated Infections” Executive Summary and Introduction and accompanying editorial for additional discussion. 1. Burden of SSIs as complications in acute care facilities. a. SSIs occur in 2%-5% of patients undergoing inpatient surgery in the United States. b. Approximately 500,000 SSIs occur each year. 2. Outcomes associated with SSI a. Each SSI is associated with approximately 7-10 additional postoperative hospital days. b. Patients with an SSI have a 2-11 times higher risk of death, compared with operative patients without an SSI. i. Seventy-seven percent of deaths among patients with SSI are direcdy attributable to SSI. c. Attributable costs of SSI vary, depending on the type of operative procedure and the type of infecting pathogen; published estimates range from $3,000 to $29,000. i. SSIs are believed to account for up to $10 billion annually in healthcare expenditures. 1. Definitions a. The Centers for Disease Control and Prevention National Nosocomial Infections Surveillance System and the National Healthcare Safety Network definitions for SSI are widely used. b. SSIs are classified as follows (Figure): i. Superficial incisional (involving only skin or subcutaneous tissue of the incision) ii. Deep incisional (involving fascia and/or muscular layers) iii. Organ/space
Early Weaning Stimulates Intestinal Brush Border Enzyme Activities in Piglets, Mainly at the Posttranscriptional Level

Backgrounds: Weaning-associated anorexia is the main factor responsible for structural alterations of the small intestine. However, whether weaning and the postweaning feed intake level affect disaccharidase and peptidase gene expression remains to be elucidated. Methods: Adaptation of the small intestine to early weaning at 7 days of age and the effects of postweaning feed intake were investigated on 56 pigs in two trials. Structural parameters and gene expression and activities of intestinal lactase, maltase, sucrase, aminopeptidases A and N, and dipeptidyl peptidase IV were determined along the small intestine. Results: Within 3 days, weaning induced increases in maltase, sucrase, and peptidase specific activities (P < 0.05) and a decrease in lactase activity and villous height (P < 0.05). Only for maltase activity were the weaning-induced changes closely correlated with corresponding mRNA levels. In weaned piglets, aminopeptidase N activity was consistently stimulated and dipeptidyl peptidase IV depressed by high level of feed intake but without effects on the corresponding mRNA levels. Furthermore, the longitudinal distribution of enzyme activities along the small intestine showed poor correlation with the corresponding mRNA levels. Conclusion: Early weaning in pigs is associated with a remarkable capacity of the small intestine to rapidly increase the activity of key brush border enzymes. This adaptation, largely independent on feed intake for intestinal enzyme mRNAs and disaccharidase activities, occurred at the posttranscriptional rather than at the transcriptional level of enzyme biosynthesis (except for maltase). The length of the postweaning anorexia period did not affect the subsequent intestinal capacity for villous elongation but may postpone maturation of peptidase activities.
5-Hydroxytryptaminergic Receptor-Stimulated Growth Hormone Secretion Occurs Independently of Changes in Peripheral Somatostatin Concentration

Abstract Effects of activation or blockade of 5-hydroxytryptaminergic receptors on concentrations of growth hormone and somatostatin in serum were studied in Holstein steers (mean ± SEM: 159 ± 8 days of age; 160 ± 9 kg of body wt). A pelleted diet was available ad libitum between 1000 and 1200 hr each day. Blood was sampled from a cannula in a jugular vein. Peak concentration of growth hormone in serum within 1 hr before feeding (12.8 ± 3.8 ng/ml) was greater than peak concentration within 1 hr after removal of feed (3.3 ± 1.0 ng/ml). In contrast, concentration of somatostatin in plasma did not change from 1 hr before feeding through 1 hr after removal of feed (47.3 to 43.0 ± 4.5 pg/ml). Relative to saline-injected controls, activation of 5-hydroxytryptaminergic receptors with quipazine (0.05, 0.1, and 0.2 mg/kg body wt, iv) increased the area under growth hormone response curves 5.5- to 25-fold before and after feeding. In another experiment, injection of 0.1 mg of quipazine/kg body wt at 1300 hr increased the concentration of growth hormone in serum 7.8-fold compared with controls, but had no effect on concentration of somatostatin in plasma. Relative to water-injected controls, blockade of 5-hydroxytryptaminergic receptors with cyproheptadine (0.2 mg/kg body wt, sc) decreased the area under growth hormone response curves for at least 110 min before feeding (71%) and after removal of feed (69%). The data support the hypothesis that 5-hydroxytryptaminergic receptors are involved in stimulation of pulsatile growth hormone secretion in meal-fed cattle. Lack of a change in concentration of somatostatin in plasma with respect to time of meal-feeding or after injection of the 5-hydroxytryptaminergic-receptor agonist quipazine suggests that 5-hydroxytryptaminergic receptor-stimulated growth hormone secretion is likely mediated within the central nervous system, rather than by meal-induced changes in peripheral secretion of somatostatin.
University of Washington TAC-KBP 2016 System Description

This document describes the University of Washington’s event extraction system used in the Event Argument Extraction and Linking and Event Nugget Detection tasks of the 2016 TAC KBP competition. This system was composed of three components: Evento, a CRF-based extractor, NomEvent, which makes use a lexicon to build features to identify nominal triggers, and NewsSpike, which uses an un-supervised training process to produce a high-precision extractor (Zhang et al., 2015). These three methods combine to form a complementary system which performs better than any single individual component.
Inferring object hypotheses based on feature motion from different sources

Perception systems in robotics are typically closely tailored to the given task, e.g., in typical pick-and-place tasks the perception systems only recognizes the mugs that are supposed to be moved and the table the mugs are placed on. The obvious limitation of those systems is that for a new task a new vision system must be designed and implemented. This master's thesis proposes a method that allows to identify entities in the world based on motion of various features from various sources. This is without relying on strong prior assumptions and to provide an important piece towards a more general perception system. While entities are rigid bodies in the world, the sources can be anything that allows to track certain features over time in order to create trajectories. For example, these feature trajectories can be obtained from RGB and RGB-D sensors of a robot, from external cameras, or even the end effector of the robot (proprioception). The core conceptual elements are: the distance variance between trajectory pairs is computed to construct an affinity matrix. This matrix is then used as input for a divisive k-means algorithm in order to cluster trajectories into object hypotheses. In a final step these hypotheses are combined with previously observed hypotheses by computing the correlations between the current and the updated sets. This approach has been evaluated on both simulated and real world data. Generating simulated data provides an elegant way for a qualitative analysis of various scenarios. The real world data was obtained by tracking Shi-Tomasi corners using the Lucas-Kanade optical flow estimation of RGB image sequences and projecting the features into range image space.
Rapid Wolff–Kishner reductions in a silicon carbide microreactor

Wolff–Kishner reductions are performed in a novel silicon carbide microreactor. Greatly reduced reaction times and safer operation are achieved, giving high yields without requiring a large excess of hydrazine. The corrosion resistance of silicon carbide avoids the problematic reactor compatibility issues that arise when Wolff–Kishner reductions are done in glass or stainless steel reactors. With only nitrogen gas and water as by-products, this opens the possibility of performing selective, large scale ketone reductions without the generation of hazardous waste streams.
Improvement of data retention in HfO2/Hf 1T1R RRAM cell under low operating current

One of the key concerns related to low operating current (<;50μA) of RRAM is the degraded data retention. Most of the retention studies so far focused on high switching current range. In this work, we investigate the retention degradation mechanism at low programming current range (10-40μA) and identify the key parameters that control retention in oxygen vacancy filamentary switching HfO<;sub>2<;/sub>/Hf 1T1R RRAM cells. Based on this understanding we demonstrated significant improvement in retention by adding an additional thermal budget into our process flow. The impact of the Forming process on retention property was also investigated and Forming/SET conditions were optimized to improve the retention without increasing the operation current.
Notch and β 1-integrin interactions in neural stem cells Notch , EGFR and β 1-integrin pathways are coordinated in Neural Stem Cells

Notch, EGFR and β1-integrin pathways are coordinated in Neural Stem Cells Lia Scotti Campos&, Laurence Decker*, Verdon Taylor**, William Skarnes& *INSERM U368, Biologie Moléculaire du Développement, Ecole Normale Supérieure, Paris, France ** Dept. of Molecular Embryology, Max Planck Institute of Immunobiology, Freiburg & Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK Corresponding author: lsc@sanger.ac. uk
Unsupervised Content-Based Identification of Fake News Articles with Tensor Decomposition Ensembles

Social media provide a platform for quick and seamless access to information. However, the propagation of false information, especially during the last year, raises major concerns, especially given the fact that social media are the primary source of information for a large percentage of the population. False information may manipulate people’s beliefs and have real-life consequences. erefore, one a major challenge is to automatically identify false information by categorizing it into dierent types and notify users about the credibility of dierent articles shared online. Existing primarily focuses on feature generation and selection from various sources, including corpus-related features. However, so far, prior work has not paid considerable aention to the following question: how accurately can we distinguish dierent categories of false news, solely based on the content? In this paper we work on answering this question. In particular, we propose a tensor modeling of the problem, where we capture latent relations between articles and terms, as well as spatial/contextual relations between terms, towards unlocking the full potential of the content. Furthermore, we propose an ensemble method which judiciously combines and consolidates results form dierent tensor decompositions into clean, coherent, and highaccuracy groups of articles that belong to dierent categories of false news. We extensively evaluate our proposed method on real data, for which we have labels, and demonstrate that the proposed algorithm was able to identify all dierent false news categories within the corpus, with average homogeneity per group of up to 80%.