gebhart/patrepeval huggingface dataset:
Regional distribution of growth hormone-releasing hormone (GHRH) receptor mRNA in the rat brain (1995)

We examined the tissue distribution of growth hormone-releasing hormone (GHRH) receptor mRNA in the rat brain because several lines of evidence have suggested that GHRH plays a functional role in the brain. GHRH receptor mRNA was detected in the hypothalamus as well as pituitary, but not in olfactory bulb, caudate putamen, cerebral cortex, hippocampus, cerebellum, or brainstem by RNase protection assay. To clarify the precise localization of GHRH receptor mRNA in the hypothalamus, reverse transcription-polymerase chain reaction (RT-PCR) was used. A PCR product of the predicted size (564 bp) was detected in the periventricular, arcuate, and ventromedial nuclei, and the anterior hypothalamic area, but not in the paraventricular nucleus in the hypothalamus. These areas where GHRH receptor mRNA was detected are possible sites of GHRH action. Another band, smaller in size than that of the predicted PCR amplification product, was detected in the anterior hypothalamic area and arcuate nucleus, respectively. Hybridization analysis with a cDNA probe for GHRH receptor demonstrated that the smaller bands as well as that of the predicted size corresponded to GHRH receptor cDNA. The role of the short form of the GHRH receptor remains unknown.
Genetic or Enzymatic Disruption of Aromatase Inhibits the Growth of Ectopic Uterine Tissue (2002)

Aromatase P450 (P450arom) is the key enzyme for the biosynthesis of estrogen that is essential for the growth of human endometriosis, a pathology characterized by endometrium-like tissue on the peritoneal surfaces of abdominal organs manifest by pelvic pain and infertility. Surgically transplanted autologous uterine tissue to ectopic sites on the peritoneum in mice has been used as an animal model to study endometriosis. Using this mouse model, we evaluated the roles of the P450arom gene and aromatase enzyme activity in the growth of endometriosis represented by ectopic uterine tissues in mice. Endometriosis was induced surgically in the following groups of mice: 1) untreated transgenic mice with disrupted P450arom gene (ArKO); 2) ArKO mice treated with systemic estrogen; 3) untreated wild-type (WT) mice; 4) WT mice treated with estrogen; 5) WT mice treated with the aromatase inhibitor, letrozole; and 6) WT mice treated with letrozole and estrogen. Each group contained eight mice; +/+ littermates of ArKO mice were used as WT controls. Treatment with estrogen increased the size of ectopic uterine tissues in ArKO and WT mice significantly. The ectopic uterine lesions in untreated and estrogen-treated ArKO mice were strikingly smaller than those in untreated and estrogen-treated WT controls, respectively. Systemic treatment of WT mice with letrozole significantly decreased the lesion size in a dose-dependent manner. The addition of estrogen to letrozole treatment increased the ectopic lesion size, although these lesions were significantly smaller than those in mice treated with estrogen only. As tissue controls, the effects of these conditions on normally located (eutopic) uterine tissue were evaluated. The effects of disruption of the P450arom gene and treatments with letrozole and estrogen seemed to be more profound on ectopic tissues, suggesting that ectopic tissues might be more sensitive to estrogen for growth. We conclude that both an intact P450arom gene and the presence of aromatase enzyme activity are essential for the growth of ectopic uterine tissue in a mouse model of endometriosis.
Vascular calcification in patients undergoing kidney and simultaneous pancreas‐kidney transplantation (2014)

VC is common in younger patients undergoing transplantation and, similar to older patients, is associated with age, dialysis vintage and cardiovascular pathology. However, in this younger patient group, there was no significant inverse association of VC to BMD.
The Utility of α-Synuclein as Biofluid Marker in Neurodegenerative Diseases: a Systematic Review of The Literature (2015)

The discovery of α-synuclein (α-syn) as a major component of Lewy bodies, neuropathological hallmark of Parkinson's disease (PD), dementia with Lewy bodies and of glial inclusions in multiple system atrophy initiated the investigation of α-syn as a biomarker in cerebrospinal fluid (CSF). Due to the involvement of the periphery in PD the quantification of α-syn in peripheral fluids such as serum, plasma and saliva has been investigated as well. We review how the development of multiple assays for the quantification of α-syn has yielded novel insights into the variety of α-syn species present in the different fluids; the optimal preanalytical conditions required for robust quantification and the potential clinical value of α-syn as biomarker. We also suggest future approaches to use of CSF α-syn in neurodegenerative diseases.
Relation Extraction Using Multi-Encoder LSTM Network on a Distant Supervised Dataset (2018)

Relation extraction techniques are used to find potential relational facts in textual content. Relation Extraction systems require huge amount of training data to model semantics of sentences and identify relations. Distant supervision, often used to construct training data for relation extraction, produces noisy alignments that can hurt the performance of relation extraction systems. To this end, we propose a simple, yet effective, technique to automatically compute confidence levels of alignments. We compute the confidence values of automatically labeled content using co-occurrence statistics of relations and dependency patterns of aligned sentences. Thereafter, we propose a novel multi-encoder bidirectional Long Short Term Memory (LSTM) model to identify relations in a given sentence. We use different features (words, part-of-speech (POS) tags and dependency paths) in each encoder and concatenate the hidden states of all the encoders to predict the relations. Our experiments show that a multi-encoder network can handle different features together to predict relations more accurately (~9% improvement over a single encoder model). We also conduct visualization experiments to show that our model learns intermediate representations effectively to identify relations in sentences.
Regioselective Fluorination of Substituted Guanines with Dilute F<sub>2</sub>:  A Facile Entry to 8-Fluoroguanine Derivatives (1996)

ADVERTISEMENT RETURN TO ISSUECommunicationNEXTRegioselective Fluorination of Substituted Guanines with Dilute F2: A Facile Entry to 8-Fluoroguanine DerivativesJorge R. Barrio, Mohammad Namavari, Michael E. Phelps, and Nagichettiar SatyamurthyView Author Information Department of Molecular and Medical Pharmacology, The Crump Institute of Biological Imaging and the Laboratory of Structural Biology and Molecular Medicine, UCLA School of Medicine, Los Angeles, California 90095 Cite this: J. Org. Chem. 1996, 61, 18, 6084–6085Publication Date (Web):September 6, 1996Publication History Received26 April 1996Revised8 July 1996Published online6 September 1996Published inissue 1 January 1996https://pubs.acs.org/doi/10.1021/jo960761dhttps://doi.org/10.1021/jo960761drapid-communicationACS PublicationsCopyright © 1996 American Chemical SocietyRequest reuse permissionsArticle Views402Altmetric-Citations32LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Aromatic compounds,Fluorine,Guanine,Halogenation,Reaction products Get e-Alerts
sPortfolio: Stratified Visual Analysis of Stock Portfolios (2019)

Quantitative Investment, built on the solid foundation of robust financial theories, is at the center stage in investment industry today. The essence of quantitative investment is the multi-factor model, which explains the relationship between the risk and return of equities. However, the multi-factor model generates enormous quantities of factor data, through which even experienced portfolio managers find it difficult to navigate. This has led to portfolio analysis and factor research being limited by a lack of intuitive visual analytics tools. Previous portfolio visualization systems have mainly focused on the relationship between the portfolio return and stock holdings, which is insufficient for making actionable insights or understanding market trends. In this paper, we present s Portfolio, which, to the best of our knowledge, is the first visualization that attempts to explore the factor investment area. In particular, sPortfolio provides a holistic overview of the factor data and aims to facilitate the analysis at three different levels: a Risk-Factor level, for a general market situation analysis; a Multiple-Portfolio level, for understanding the portfolio strategies; and a Single-Portfolio level, for investigating detailed operations. The system's effectiveness and usability are demonstrated through three case studies. The system has passed its pilot study and is soon to be deployed in industry.
Cortisol and testosterone increase financial risk taking and may destabilize markets (2015)

It is widely known that financial markets can become dangerously unstable, yet it is unclear why. Recent research has highlighted the possibility that endogenous hormones, in particular testosterone and cortisol, may critically influence traders' financial decision making. Here we show that cortisol, a hormone that modulates the response to physical or psychological stress, predicts instability in financial markets. Specifically, we recorded salivary levels of cortisol and testosterone in people participating in an experimental asset market (N = 142) and found that individual and aggregate levels of endogenous cortisol predict subsequent risk-taking and price instability. We then administered either cortisol (single oral dose of 100 mg hydrocortisone, N = 34) or testosterone (three doses of 10 g transdermal 1% testosterone gel over 48 hours, N = 41) to young males before they played an asset trading game. We found that both cortisol and testosterone shifted investment towards riskier assets. Cortisol appears to affect risk preferences directly, whereas testosterone operates by inducing increased optimism about future price changes. Our results suggest that changes in both cortisol and testosterone could play a destabilizing role in financial markets through increased risk taking behaviour, acting via different behavioural pathways.
Abstract 5069: Atorvastatin/Fenofibrate 40/100 mg Fixed-Dose Combination Tablet (LCP-AtorFen 40/100 mg) Offers Improved Efficacy Over 40 mg Atorvastatin and Higher Dose 145 mg Fenofibrate in Patients with Dyslipidemia (2008)

Three forms of soluble starch synthase were resolved by anion-exchange chromatography of soluble extracts from immature rice (Oryza sativa L.) seeds, and each of these forms was further purified by affinity chromatograph. The 55-, 57-, and 57-kD proteins in the three preparations were identified as candidates for soluble starch synthase by western blot analysis using an antiserum against rice granule-bound starch synthase. It is interesting that the amino-terminal amino acid sequence was identical among the three proteins, except that the 55-kD protein lacked eight amino acids at the amino terminus. Thus, these three proteins are products of the same gene. The cDNA clones coding for this protein have been isolated from an immature rice seed library in lambda gt11 using synthetic oligonucleotides as probes. The deduced amino acid sequence of this protein contains a lysine-X-glycine-glycine consensus sequence for the ADP-glucose-binding site of starch and glycogen synthases. Therefore, we conclude that this protein corresponds to a form of soluble starch synthase in immature rice seeds. The precursor of the enzyme contains 626 amino acids, including a 113-residue transit peptide at the amino terminus. The mature form of soluble starch synthase shares a significant but low sequence identity with rice granule-bound starch synthase and Escherichia coli glycogen synthase. However, several regions, including the substrate-binding site, are highly conserved among these three enzymes. Blot hybridization analysis demonstrates that the gene encoding soluble starch synthase is a single-copy gene in the rice genome and is expressed in both leaves and immature seeds. These results suggest that soluble and granule-bound starch synthases play distinct roles in starch biosynthesis of plant.
An enhanced technique for indoor navigation system based on WIFI-RSSI (2015)

Determining position and route is very important because it helps user get to the destination easier and faster. Nowadays, more and more people move to urban areas and live in complex buildings. Indoor positioning and navigation, therefore, plays an important role for determining position for indoor areas. Anyway, in order to get to the destination, knowing only position is not enough because there are a lot of rooms inside building, for example, airport and shopping center. Thus knowing the route to the destination is also very important so user can reach the destination in time. Indoor positioning focuses on using smartphone to receive Wi-Fi signal due to its convenience and ease of operation. The Wi-Fi Fingerprint based localization with k-Nearest Neighbor (k-NN) algorithm has been commonly used for indoor positioning. For indoor navigation, many researches have used structure of building such as distance space and doors as reference points but this research focus on reference nodes of fingerprint map because reference nodes of fingerprint map are built depending on structure of building. This research is divided into two parts. The first part is to improve accuracy and robustness of positioning by using k-NN algorithm with Particle Filter (PF). The second part is the navigation technique for indoor environment by using Dijkstra's algorithm with reference nodes of fingerprint map to find the shortest route from starting position to the destination. For experimental results, the map of 6 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> floor of New Main Building (NMB) in Beihang University was used for simulation. In positioning part, the results showed the accuracy of k-NN and PF algorithm by using root mean square error equation to measure errors between real position and estimated position. In navigation part, the results showed time used to calculate the route. Moreover, the results also showed the route between starting position and destination.
Absorption, Tissue Distribution and Elimination of 4-[<sup>3</sup>H]-Epigallocatechin Gallate in Beagle Dogs (2003)

Polyphenols found in tea are potent antioxidants and have inhibitory activity against tumorigenicity. The purpose of the described study was to assess the absorption, tissue distribution, and elimination of epigallocatechin gallate (EGCG), the principal catechin found in green tea, in a nonrodent species. 4-[(3)H]-EGCG was administered to beagle dogs by intravenous (IV) and oral routes. Following IV administration of 25 mg/kg, radioactivity in the bloodstream resided predominantly in the plasma. Distribution occurred during the first hour, and the plasma levels of total radioactivity declined with a mean half-life of approximately 7 hours. The apparent volume of distribution (0.65 l/kg) indicated wide distribution, and the total body clearance (1.01 ml/min-kg) was low. A subsequent single oral dose (250 mg/kg) was rapidly absorbed, with peak plasma levels at about 1 hour after administration, followed by elimination with a mean half-life of 8.61 hours. The mean area under the curve (AUC) for total radioactivity was approximately 20% of the value following IV administration (corrected for dose administered). Excretion of radioactivity in the feces predominated over urinary excretion following both IV and oral administration of [(3)H]-EGCG. Tissue distribution was determined 1 hour after an IV dose (25 mg/kg) administered after 27 days of oral treatment with EGCG (250 mg/kg/day) to mimic chronic consumption of tea. Radioactivity was distributed to a variety of epithelial tissues; the highest concentrations were observed in the liver and gastrointestinal tract tissues. Repeat dose oral administration of EGCG resulted in significantly lower blood radioactivity compared to the concentration following a single dose. These results are generally in accord with previous studies in rodents and indicate that, after oral administration, EGCG (as parent compound and metabolites) is widely distributed to tissues where it can exert a chemopreventive effect.
<title>Real-time super-resolution over raw video sequences</title> (2005)

This paper addresses the enhancement of the spatial resolution of a video sequence from a low resolution video sequence in real time. The technique used, known as super-resolution reconstruction, exploits the relative motion from frame to frame that produces sub-pixel shifts. The algorithm, based on a previous version mapped onto a video encoder architecture, is oriented towards a hardware implementation and requires resources optimization. In order to achieve a good resolution improvement, the motion estimation algorithm must produce motion vectors as close to the real ones as possible. At the same time, this motion estimation must match real time requirements. Therefore, an exhaustive technique is applied in combination with a simple segmentation of each frame for a motion prediction refinement. Experimental results have been obtained for a set of video sequences subjected to different motion characteristics.
Differential Electrolytic Potentiometry Determination of Nanogram Quantities of Halides at Extreme Dilution by Constant Current Coulometry. (1964)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDifferential Electrolytic Potentiometry Determination of Nanogram Quantities of Halides at Extreme Dilution by Constant Current Coulometry.Edmund. Bishop and R. G. DhaneshwarCite this: Anal. Chem. 1964, 36, 4, 726–730Publication Date (Print):April 1, 1964Publication History Published online1 May 2002Published inissue 1 April 1964https://pubs.acs.org/doi/10.1021/ac60210a009https://doi.org/10.1021/ac60210a009research-articleACS PublicationsRequest reuse permissionsArticle Views61Altmetric-Citations16LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
DMT Time Domain Equalization Based on ARMA Models (2006)

This paper describes a novel approach for the design of a time domain equalizer for a Discrete Multi Tone (DMT) Digital Subscriber Loop (DSL) modem. The key role of the equalizer is to act upon the equivalent digital channel impulse response at the receiving end to yield a combined impulse response with a linear phase characteristic. Using two-port channel models from the ANSI VDSL standard [1] it is shown how group delay characteristics of typical channels can be modeled by small order polynomials that fall into one of the following categories; all-zero mixed phase, all-pole mixed phase, ARMA minimum phase, and finally ARMA maximum phase systems. A discussion follows to suggest a suitable algorithm based on Prony's method for finding appropriate minimum phase channel models which can be inverted to give equalizer blocks.
The Development of Reliabililty in Industrial Control Systems (1984)

Hierarchical organization and distributed computing capability are the keys to the highly fault-tolerant, plant-wide control and management systems users demand today.
Natural killer cells: definition of a cell type rather than a function (1987)

Proposition d'une nouvelle nomenclature permettant de differencier les cellules NK des cellules T cytotoxiques en ce qui concerne la cytotoxicite non-MHC restreinte
Novel Architecture for Highly Hardware Efficient Implementation of Real Time Matrix Inversion Using Gauss Jordan Technique (2010)

Advent of Matrix Theory has greatly aided and simplified the analysis for variety of signal processing algorithms. It has been proven that matrix notation is convenient for representation of signals and to perform operations on them. Many problems such as signal modeling, Wiener filtering and spectrum estimation require finding the solution or solutions to a set of linear equations. Some of the common matrix related operations include transpose, triangularization, determinant calculation, eigen value decomposition and matrix inversion. Most of these operations are computationally intensive and have been difficult to implement on real time systems and therefore are not pursued much in VLSI design. In this paper we present a highly hardware efficient and simple memory based novel architecture implementing widely established Gauss Jordan technique for finding matrix inverse. First triangularization of the matrix is done which on further processing calculates the inverse matrix.
Preliminary Evidence of Improved Verbal Working Memory Performance and Normalization of Task-Related Frontal Lobe Activation in Schizophrenia Following Cognitive Exercises (2000)

Verbal memory deficits can be ameliorated by memory exercises in some patients with schizophrenia. Performance improvements are associated with increased task-related activation of the same brain region that is activated during verbal memory tasks in healthy individuals.
Compositional Analysis of Oil Samples at High Pressure (1998)

A new, simple method of analyzing light crude oil up to C24, sampled at high temperatures and pressures, has been developed. The method avoids time-consuming depressurizing procedures. The method utilizes a liquid sampling valve, which endures moderate heating at relatively high pressures. The global composition and number-average molecular weight of the sample is determined with sufficient accuracy. Combined with a PVT software package, the gas/oil ratio and the composition of the gas phase by degassing at 15 °C and 1 bar can be predicted.