gebhart/patrepeval huggingface dataset:
[Relationship between intraoperative pleural lavage cytology and recurrence in pleural cavity after resection of lung metastasis from colorectal cancer]. (1995)

Seventeen patients with lung metastases from colorectal cancer underwent intraoperative pleural lavage cytology immediately after thoracotomy from August 1988 to December 1994. Patients with pleural effusion and/or dissemination were excluded. The median followup period was 34 months (range 3-52 months). Of the 17 patients, 13 were cytologically negative (76%, group A) and 4 were positive (24% group B). Recurrence rate in the pleural cavity was 25% (1/4) in group B and 0% (0/13) in group A. The three-year survival rate was 0% in group B and 78% in group A, respectively. These results indicate that intraoperative pleural lavage cytology is useful in the assessment of prognosis, and locoregional therapy should be considered for cytology positive group.
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries (2019)

Conceptual relevancy - defined as how well a pair of products are related to each other - plays a significant role in online-grocery shopping behavior. When a customer goes grocery shopping, they first come up with a list of ingredients for recipes they may be interested in. A typical shopping list contains categories of products, many of them conceptually relevant to each other. However, the said user may be flexible on which exact product to purchase. For instance, a user may put `milk,' and `cheese' in their shopping list, but these may not refer to specific products such as `Great value 2% milk,' or `Kraft Singles American Slices.' Modern recommender systems, however, focus much more on how to identify specific items to recommend to customers, rather than the categories that may be relevant. Such an approach may lead the system to occasionally recommend outlier, or noise, ultimately violating conceptual relevancy. Moreover, many recommender systems ignore seasonal components; they assume that customers' shopping behavior is independent of the time of the year. However, conceptual relevancy between two products shifts over time. For instance, if a user is shopping for groceries in the middle of the winter, recommending particular products (say, barbecue-related products) may not be the best strategy even if the contextual (user's past interests, or item that the user is currently viewing) may suggest otherwise. In this paper, we introduce a novel strategy to enforce conceptual relevancy in online-grocery domain. Furthermore, recognizing that conceptual relevancy is heavily influenced by the time of the year, we propose a Bayesian-based seasonality algorithm to capture the drift in conceptual relevancy over time without having to re-train the whole model. The algorithm can be based on any of the popular approaches in recommender systems - either based on matrix factorization or that on neural networks. Through our experiments, we show that our seasonality framework can capture drifts in conceptual relevancy.
Marine Inspired 2-(5-Halo-1H-indol-3-yl)-N,N-dimethylethanamines as Modulators of Serotonin Receptors: An Example Illustrating the Power of Bromine as Part of the Uniquely Marine Chemical Space (2017)

In previous studies, we have isolated several marine indole alkaloids and evaluated them in the forced swim test (FST) and locomotor activity test, revealing their potential as antidepressant and sedative drug leads. Amongst the reported metabolites to display such activities was 5-bromo-<i>N</i>,<i>N</i>-dimethyltryptamine. Owing to the importance of the judicious introduction of halogens into drug candidates, we synthesized two series built on a 2-(1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethylethanamine scaffold with different halogen substitutions. The synthesized compounds were evaluated for their in vitro and in vivo antidepressant and sedative activities using the mouse forced swim and locomotor activity tests. Receptor binding studies of these compounds to serotonin (5-HT) receptors were conducted. Amongst the prepared compounds, 2-(1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethyl-2-oxoacetamide (<b>1a</b>), 2-(5-bromo-1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethyl-2-oxoacetamide (<b>1d</b>), 2-(1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethylethanamine (<b>2a</b>), 2-(5-chloro-1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethylethanamine (<b>2c</b>), 2-(5-bromo-1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethylethanamine (<b>2d</b>), and 2-(5-iodo-1<i>H</i>-indol-3-yl)-<i>N</i>,<i>N</i>-dimethylethanamine (<b>2e</b>) have been shown to possess significant antidepressant-like action, while compounds <b>2c</b>, <b>2d</b>, and <b>2e</b> exhibited potent sedative activity. Compounds <b>2a</b>, <b>2c</b>, <b>2d</b>, and <b>2e</b> showed nanomolar affinities to serotonin receptors 5-HT<sub>1A</sub> and 5-HT₇. The in vitro data indicates that the antidepressant action exerted by these compounds in vivo is mediated, at least in part, via interaction with serotonin receptors. The data presented here shows the valuable role that bromine plays in providing novel chemical space and electrostatic interactions. Bromine is ubiquitous in the marine environment and a common element of marine natural products.
Association of periodontitis and cognitive impairment: A systematic review and meta‐analysis (2020)

Abstract Background Emerging evidence suggests link between poor periodontal status and cognitive impairment. This review systematically assessed longitudinal evidence on the association of periodontitis and tooth loss with cognition. Methods Comprehensive literature search for studies examining effect of periodontitis on cognition was conducted on two electronic databases, Medline and Scopus. Longitudinal studies having periodontitis or its surrogate measure (tooth loss) as exposure and cognition as outcome were included. Meta‐analysis was conducted on RevMAN‐5 software. Primary random effects model analyzing the effect of periodontitis (all measures) on cognition was generated. Secondary analyses included models based on periodontal specific measures 1 and tooth loss. Quality assessment of included studies was conducted. Results Out of 97 studies, 16 were included in the systematic review. Meta‐analysis included 9 studies. In preliminary results, primary model showed significant association between periodontitis and cognitive impairment (OR=1.22, 95%CI:1.01–1.49, p=0.04). In secondary analyses, neither periodontitis (based on specific measures) nor tooth loss was associated with cognitive impairment. However, further stratification of tooth loss found significant association between partial tooth loss and cognitive impairment (OR=1.53, 95%CI:1.03–2.29, p=0.04). The overall quality of evidence was low. Conclusion Periodontitis appears to contribute to overall risk of cognitive impairment. This association may be driven by specific aspects of periodontitis such as severity, chronicity and corresponding tooth count. However, firm conclusions cannot be drawn due to overall low quality of evidence and lack of coherent methodology among studies (e.g. variability across periodontal and cognitive assessments). Well‐designed longitudinal studies with larger sample size and including comprehensive and standardized assessment of both periodontal and cognitive status are warranted.
Novel Prolinamide–Camphor‐Containing Organocatalysts for Direct Asymmetric Michael Addition of Unmodified Aldehydes to Nitroalkenes (2009)

The asymmetric challenge! New camphor-based prolinamides were designed, synthesized, and proven to be a highly efficient organocatalysts for asymmetric Michael reactions. Treatment of unmodified aldehydes with nitroalkenes in the presence of 5–10 mol % organocatalysts provided the desired Michael products in high chemical yields (up to 94 %) and high to excellent levels of diastereo- and enantioselectivities (up to 99:1 d.r. and>99 % ee). Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Multi-modal molecular imaging of anti-angiogenic treatment strategies of experimental gliomas (2011)

Background: Glioblastomas are highly vascularized tumors. Hence, anti-angiogenic treatments are an attractive option. However, they are limited by the potential evolution of the tumor cells towards infiltrative, angiogenic independent cells, leading to recurrence of the cancer. Development of imaging methods to non-invasively characterize the tumor vasculature in terms of vessel size, density and neo-angiogenesis and the tumor proliferation is essential to assess the effect of anti-angiogenic treatment.
Cytostatic Activity of Adenosine Triphosphate-Competitive Kinase Inhibitors inBRAFMutant Thyroid Carcinoma Cells (2009)

This study provides additional evidence of the promising nature of mutant BRAF as a molecular target for thyroid carcinoma cells.
Experimental Validation of Nonlinear Model Predictive Control for a Heavy-Duty Diesel Engine Waste Heat Recovery System (2020)

Abstract This paper discusses an experimental validation of a real-time augmented control scheme for an organic Rankine cycle (ORC) waste heat recovery (WHR) system. A nonlinear model predictive control (NMPC) is designed to regulate the working fluid vapor temperature after the evaporator. The NMPC utilizes a six-state reduced order moving boundary (MB) evaporator model. The state estimator is constructed using an extended Kalman filter (EKF) given the working fluid outlet vapor temperature and exhaust gas outlet temperature as measurements. Working fluid evaporation pressure is controlled by an external proportional-integral-derivative (PID) control loop. The experimental validation first compares the performance of the augmented control scheme with that of a traditional multiple loop PID control with a feedforward term over an engine transient. The experimental study shows that the augmented control scheme outperforms the baseline multiloop PID control in both terms tracking error and settling time during transient engine operation. The performance of the augmented control scheme is further validated over three additional transient conditions with alterations to both the engine transient and the working fluid reference temperature. The NMPC validation shows that the working fluid vapor temperature can be controlled within 1% error margin relative to the targeted reference.
HSPA Evolution - Boosting the performance of mobile broadband access (2008)

Today, 84% of all reported global cellular subscribers make calls via radio access technology specifi ed by the Third Generation Partnership Project (3GPP). This signifi es that WCDMA is the predominant thirdgeneration (3G) radio network technology, and as such, represents a substantial economy of scale. In addition, the recent introduction of high-speed packet access (HSPA, 3GPP Release 6) has signifi cantly improved the performance of packet data traffi c in Ericsson products – on the downlink (HSDPA) 14Mbps, and uplink (E-UL), 1.4Mbps, giving users a mobile broadband experience that is on par with ADSL; and given rise to large increases in packet data traffi c – packet data is now the principal type of traffi c in 3G networks. •
Production and physicochemical characterization of resistant starch type III derived from pea starch (2003)

Smooth pea starch was used for the production of physiological important resistant starch type III. For reduction of the molecular weight of the starch, different strategies including enzymatic debranching and acid hydrolysis (lintnerization), were tested to obtain an optimal starting material for retrogradation. The resulting polymer chain lengths were analyzed by high-performance anion-exchange chromatography. Temperature regimes and starch concentrations in gel were optimized during the retrogradation with the aim to obtain a high yield of resistant starch. Optimal conditions led to resistant starch contents up to 74%. The products were thermostable and showed no loss of resistant structures after autoclaving. The peak temperatures of the thermal transition were at approximately 147 degrees C. The resulting resistant starch products are suitable for the generation of functional foods.
Activation of caspase-3 protease during the process of ursolic acid and its derivative-induced apoptosis. (2002)

The apoptosis-inducing effect of the triterpene saponins, namely, ursolic acid and its natural derivative, methyl-ursolate beta-D-glucoside on A431 human epidermoid carcinoma cells was studied. The cells treated with 5-50 microg/ml of ursolic acid resulted in a dose- and time-dependent decrease in cell number, due to an increase of apoptotic cells as evidenced by MTT assay together with morphological changes. The highest dose (50 microg/ml) of ursolic acid resulted in approximately 90% inhibition in tumor cell growth after 96 hours of treatment and 60% of apoptosis after 48 hours. To the contrary, when the same treatment was carried out with methyl-ursolate beta-D-glucoside, after 96 hours of treatment the percentage of cell growth inhibition was found to be only 30% at the dose of 50 microg/ml and the value of apoptosis did not exceed 10%. Similarly to these results, ursolic acid effectively induced proteolytic activation of caspase-3 protease in a dose-dependent manner while its derivative showed only weak activity in this enzyme assay. The addition of DEVD-CHO prior to ursolic acid and methyl-ursolate beta-D-glucoside treatment effectively prevented the loss of triterpenes-induced viability. In summary, the triterpene saponins investigated contain an apoptotic-inducing activity in A431 cells and in the case of ursolic acid it is associated with proteolytic activation of caspase-3 and/or other similar caspases. Our results also indicated that methylation of COOH-28 together with the glycosylation of C3 of ursolic acid have a strong impact on its antitumor activity.
Cross-symbol codes (2004)

The problem of constructing three-dimensional, ntimesmtimesm arrays over GF(q) is studied, where each ntimesm subarray in one direction contains a codeword of a code Copf <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> over GF(q <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> ), while each ntimesm subarray in the perpendicular direction contains a codeword of a code Copf <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> over GF(q <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> )
Structure of the human α1acid glycoprotein gene: sequence homology with other human acute phase protein genes (1985)

We have determined the sequence coding for human alpha 1-acid glycoprotein from two independently isolated cDNA clones and a genomic clone. The aminoacid sequences deduced from the three clones, deriving from three different individuals, are identical. Southern blot analysis on human DNA indicates that there are at least two genes coding for alpha 1-AGP. We propose that alpha 1-AGP found in plasma is a mixture of the products of these two different genes. This is the simpler explanation for the heterogeneity in the aminoacid composition in purified alpha 1-AGP observed by Schmid et al. (1). DNA sequence comparison with cDNA clones coding for human alpha 1-antitrypsin and haptoglobin shows a conserved sequence within the 5' untranslated region which may play a role in the acute phase response.
Personality and patterns of Facebook usage (2012)

We show how users' activity on Facebook relates to their personality, as measured by the standard Five Factor Model. Our dataset consists of the personality profiles and Facebook profile data of 180,000 users. We examine correlations between users' personality and the properties of their Facebook profiles such as the size and density of their friendship network, number uploaded photos, number of events attended, number of group memberships, and number of times user has been tagged in photos. Our results show significant relationships between personality traits and various features of Facebook profiles. We then show how multivariate regression allows prediction of the personality traits of an individual user given their Facebook profile. The best accuracy of such predictions is achieved for Extraversion and Neuroticism, the lowest accuracy is obtained for Agreeableness, with Openness and Conscientiousness lying in the middle.
Abstract 1770: Morab-202, a folate receptor alpha-targeted antibody-drug conjugate, shows a highly potent activity against a panel of FRA-expressing tumors (2018)

Abstract Folate receptor alpha (FRA) is a membrane protein with high affinity for binding and transporting folate into cells. Overexpression of FRA may confer a growth advantage to tumors by increasing folate uptake and affecting cell proliferation via alternative cell signaling pathways (1). FRA levels have been found to be elevated in tumors of epithelial origin compared to normal tissue as cancers of the breast (including TNBC (2)), colon, lungs and ovary (3). In this study, we report the development of MORAb-202, an anti-FRA antibody-drug conjugate (ADC), consisting of a FRA-binding antibody (MORAb-003, farletuzumab) with a cathepsin-cleavable form of eribulin (eribulin mesylate, marketed as Halaven®), a highly potent anti-mitotic agent that induces cell-cycle arrest and cell death by targeting microtubules. We first study expression of FRA on a large panel of tumors patient-derived xenograft (PDX) and Cancer Cell Line-derived Xenograft (CDX). Then, we performed in vitro and in vivo anti-proliferation assays and compare antitumor activity of MORAb-202 with free eribulin accordingly to the FRA expression level. FRA expression was found to be determinant in the sensitivity of tumor cells to the cytotoxic effect of the ADC. Moreover, in case of high expression of FRA, MORAb-202 showed a higher antitumor activity compared with free eribulin. These results suggest that FRA expression could be used as a response-predictive biomarker for this targeted therapy. The ability to identify and treat patients with an effective therapy based on the known expression of the tumor marker is a key point in predictive medicine progress. These findings support the clinical development of MORAb-202 ADC as a novel targeted therapy for patients with FRA-expressing tumors. The ADC described in this abstract is investigational, as efficacy and safety have not been established. There is no guarantee that this ADC will be available commercially. 1-Siu MK et al., PLoS One. 2012;7(11) 2-Nacela BM. et al., PLoS One. 2015, 10(3) 3-Cheung A. et al., Oncotarget. 2016 7(32), 52553-52574 4-Arrowsmith J. &amp; Miller P. 2011-2012. Nat. Rev. Drug Discov. 12, 569 (2013). 5-Paul S.M. et al. Nat. Rev. Drug Discov. 9, 203-214 (2010). 6-Hidalgo, M. et al. Cancer Discov. 4, 998-1013 (2014). Citation Format: Caroline Mignard, Coralie DURIX, Katherine Rybinski, Xin Cheng, Keiji Furuuchi, Earl Albone, Toshimitsu Uenaka, Marc Hillairet de Boisferon. Morab-202, a folate receptor alpha-targeted antibody-drug conjugate, shows a highly potent activity against a panel of FRA-expressing tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1770.
Induction of Finite-State Languages Using Second-Order Recurrent Networks (1992)

Second-order recurrent networks that recognize simple finite state languages over {0,1}* are induced from positive and negative examples. Using the complete gradient of the recurrent network and sufficient training examples to constrain the definition of the language to be induced, solutions are obtained that correctly recognize strings of arbitrary length.
A new algorithm and simulation for computing optimal paths in a dynamic and weighted 2-D environment (2002)

Presents a new method for determining optimal paths in a weighted and dynamic 2D environment, together with some simulation results. After mapping the dynamic and weighted 2D environment onto a static 3D space-time workspace, we represent the 3D workspace by a weighted and framed octree (wf-octree), and find optimal paths in the weighted and dynamic 2D environment by propagating a diamond-shaped path planning wave in the 3D workspace through the uniformly weighted leaf nodes of the wf-octree. A wave propagation heap is introduced to control the process of the wave propagation. Based on interesting data-structural and computational geometric techniques, our approach propagates the path-planning wave through each uniformly-weighted and framed octant efficiently. Our approach guarantees the optimality of the resulting paths without requiring the entire static 3D space-time workspace to be searched. Therefore, it is much more efficient than other commonly-used cell decomposition methods such as the grid-based ones, while it achieves at least the same accuracy as other cell decomposition methods. The distance we compute is based on the L/sub 1/ or L/sub /spl infin// metric.
Alkyl Isobenzofurans from Phthalides; Inter and Intramolecular Diels-Alder Reactions (1989)

A general procedure for the conversion of phthalides 1 to alkyl isobenzofurans 4 is described and illustrated with nine. examples. Thus, the alkylidene phthalans 3 produced from the phthalides 1 in one step are in acid catalyzed equilibrium with the. alkyl isobenzofurans 4 which are trapped in situ by dienophiles as the inter- and intramolecular Diels-Alder adducts 5-9.
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition (2023)

This paper looks at semi-supervised learning (SSL) for image-based text recognition. One of the most popular SSL approaches is pseudo-labeling (PL). PL approaches assign labels to unlabeled data before re-training the model with a combination of labeled and pseudo-labeled data. However, PL methods are severely degraded by noise and are prone to over-fitting to noisy labels, due to the inclusion of erroneous high confidence pseudo-labels generated from poorly calibrated models, thus, rendering threshold-based selection ineffective. Moreover, the combinatorial complexity of the hypothesis space and the error accumulation due to multiple incorrect autoregressive steps posit pseudo-labeling challenging for sequence models. To this end, we propose a pseudo-label generation and an uncertainty-based data selection framework for semi-supervised text recognition. We first use Beam-Search inference to yield highly probable hypotheses to assign pseudo-labels to the unlabelled examples. Then we adopt an ensemble of models, sampled by applying dropout, to obtain a robust estimate of the uncertainty associated with the prediction, considering both the character-level and word-level predictive distribution to select good quality pseudo-labels. Extensive experiments on several benchmark handwriting and scene-text datasets show that our method outperforms the baseline approaches and the previous state-of- the-art semi-supervised text-recognition methods.