gebhart/patrepeval huggingface dataset:
Body composition of dogs determined by carcass composition analysis, deuterium oxide dilution, subjective and objective morphometry, and bioelectrical impedance (1994)

Prediction of body composition was assessed in thirty-eight female and thirty-seven male random source dogs using in vivo methods of deuterium oxide dilution, subjective and objective morphometry, bioelectrical impedance and ultrasound, either separately or in various combinations. Carcass composition determined by chemical analyses of carcass homogenates served as criterion measures of body composition. Dogs were selected based on gender, body weight and body condition score. Body weight ranged from 7.3 to 34.5 kilograms (kg), subdivided into 4.5 kg increments with 6 female and 6 male dogs per increment. Body condition was categorized as thin, optimum or obese using a defined criteria, body condition scoring system (subjective morphometry) with 12 female and 12 male dogs per body condition category. Selection criteria produced 18 body weight condition groups with 2 female and 2 male dogs per group. One additional male and 2 female dogs were included for economic and ethical reasons. Equations to predict carcass composition from in vivo measurements were derived using standard regression techniques. Influence diagnostics, residual analysis and data splitting were used to validate predictive equations. Predictions from deuterium oxide dilution produced the most precise estimates of body composition. Average standard errors of estimation (SEE) from deuterium equations were 1.3, 1.8, 1.0, and 0.4 percent for percentages of body moisture, fat, protein and ash, respectively, and 0.39, 0.57,0.21 and 0.08 kg for absolute quantities of moisture, fat, protein and ash, respectively. Morphometry produced the most imprecise, but economical, estimates. Average SEE from morphometry equations for proportions were 3.0, 4.0, 1.3, and 0.4 percent, and 0.9, 0.9, 0.3 and 0.07 kg for absolute quantities of moisture, fat, protein and ash, respectively. Subjective morphometry could estimate body fat with an average SEE of 3.4 percent and correctly categorized 75 percent of the dogs. Bioelectrical impedance and ultrasound produced predictions with average SEE intermediate to deuterium and morphometry. Bioelectrical impedance was equivalent to deuterium dilution on the basis of cost per unit improvement in SEE, but ultrasound was not cost effective.
Natural Products as Aromatase Inhibitors (2008)

With the clinical success of several synthetic aromatase inhibitors (AIs) in the treatment of postmenopausal estrogen receptor-positive breast cancer, researchers have also been investigating the potential of natural products as AIs. Natural products from terrestrial and marine organisms provide a chemically diverse array of compounds not always available through current synthetic chemistry techniques. Natural products that have been used traditionally for nutritional or medicinal purposes (e.g., botanical dietary supplements) may also afford AIs with reduced side effects. A thorough review of the literature regarding natural product extracts and secondary metabolites of plant, microbial, and marine origin that have been shown to exhibit aromatase inhibitory activity is presented herein.
シネマ・ヴェリテと映画・眼--ジガ・ヴェルトフからジャン・ルーシュ-1- (1964)

Selective visceral angiography was performed with the ionic, monoacidic, dimeric contrast medium ioxaglate (280 and 320 mg I/ml). Twenty patients with and without disease of the liver and/or pancreas were prospectively and consecutively studied. Changes in the serum activities of ALAT, ASAT, GT, AP, and pancreatic isoamylase and changes in the level of serum bilirubin, prothrombin index and haematocrit were evaluated sequentially before and after angiography. The total volume of contrast medium ranged from 100 to 340 ml per patient and the median dosage was 3.5 ml per kg body weight. There was no statistically significant elevation within the entire group of patients in the measured parameters after angiography when compared with pre-angiographic values. No clinically important toxic effect on the liver or pancreas induced by the contrast medium was found.
Neural Relation Extraction for Knowledge Base Enrichment (2019)

We study relation extraction for knowledge base (KB) enrichment. Specifically, we aim to extract entities and their relationships from sentences in the form of triples and map the elements of the extracted triples to an existing KB in an end-to-end manner. Previous studies focus on the extraction itself and rely on Named Entity Disambiguation (NED) to map triples into the KB space. This way, NED errors may cause extraction errors that affect the overall precision and recall. To address this problem, we propose an end-to-end relation extraction model for KB enrichment based on a neural encoder-decoder model. We collect high-quality training data by distant supervision with co-reference resolution and paraphrase detection. We propose an n-gram based attention model that captures multi-word entity names in a sentence. Our model employs jointly learned word and entity embeddings to support named entity disambiguation. Finally, our model uses a modified beam search and a triple classifier to help generate high-quality triples. Our model outperforms state-of-theart baselines by 15.51% and 8.38% in terms of F1 score on two real-world datasets.
Necklace-Coded Polymer-Supported Combinatorial Synthesis of 2-Arylaminobenzimidazoles (1999)

ADVERTISEMENT RETURN TO ISSUEPREVReportNEXTNecklace-Coded Polymer-Supported Combinatorial Synthesis of 2-ArylaminobenzimidazolesJennifer M. Smith, Jaime Gard, Wendy Cummings, Angelika Kanizsai, and Viktor KrchňákView Author Information SIDDCO, 9040 South Rita Road, Tucson, Arizona 85747 Cite this: J. Comb. Chem. 1999, 1, 5, 368–370Publication Date (Web):August 19, 1999Publication History Received3 May 1999Published online19 August 1999Published inissue 1 September 1999https://pubs.acs.org/doi/10.1021/cc9900201https://doi.org/10.1021/cc9900201brief-reportACS PublicationsCopyright © 1999 American Chemical SocietyRequest reuse permissionsArticle Views262Altmetric-Citations42LEARN 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 options SUBJECTS:Amines,Combinatorial synthesis,Organic polymers,Peptides and proteins,Solid phase synthesis Get e-Alerts
ESR and PL Study of Charge Trapping Centers in Silicon Nitride Films and Its Verification with Novel ONO-Sidewall 2-bit/cell Nonvolatile Memory (2007)

2007 International Conference on Solid State Devices and Materials,ESR and PL Study of Charge Trapping Centers in Silicon Nitride Films and Its Verification with Novel ONO-Sidewall 2-bit/cell Nonvolatile Memory
Beacon for Proximity Target Marketing (2016)

This paper presents a concept of an extended iBeacon system for proximity target marketing. iBeacon is a proximal wireless notification service proposed by Apple, Inc. This service uses beacon modules emitting radio waves based on Bluetooth Low Energy technology and provides automatic triggering of a single notification from a beacon module to multiple smart phones at proximity. In usual iBeacon systems, there is one-to-one correspondence between notification and beacon module. However, if we introduce a memory to remember the history of iBeacon detection, iBeacon systems can be extended to handle multiple notifications by multiple beacon
modules with awareness of some contexts of pedestrians’ moving directions, which enables a guide, for example, to the exit of buildings. We explain this idea for proximity target marketing using iBeacon and discuss its implementation with our simple experiment and performance evaluation. We are going to explain what it is and how it works, in order to understand how the app works and how it uses these potentialities. This new technology may also be used by Android system. iBeacon works with Bluetooth Low Energy (BLE), also known as Bluetooth 4.0 or intelligent Bluetooth. We show in this project how iBeacon technically really work, The app. Smart devices, such as Android phone can detect advertising signals sent by the low energy consumption tiny device. Notifications will be pushed automatically to the user when smart device with iBeacon Apps come to certain areas. It provides promising and portfolio usage scenarios for business, such as retail stores, to push related information about customers’ interested items with the awareness of customers’ location.
THE HALOGENO-MORPHIDES AND -CODIDES, AND THE MECHANISM OF THE MORPHINE-APOMORPHINE TRANSFORMATION<sup>1</sup> (1940)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTHE HALOGENO-MORPHIDES AND -CODIDES, AND THE MECHANISM OF THE MORPHINE-APOMORPHINE TRANSFORMATION1LYNDON SMALL, BURT F. FARIS, and JAMES E. MALLONEECite this: J. Org. Chem. 1940, 05, 4, 334–349Publication Date (Print):July 1, 1940Publication History Published online1 May 2002Published inissue 1 July 1940https://pubs.acs.org/doi/10.1021/jo01210a002https://doi.org/10.1021/jo01210a002research-articleACS PublicationsRequest reuse permissionsArticle Views308Altmetric-Citations11LEARN 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
Elevated caveolin-1 levels in African-American versus white-American prostate cancer. (2000)

Clinical studies suggest that African-American (AA) prostate cancer patients manifest a more aggressive form of the disease compared with white prostate cancer patients. However, the biological underpinnings of this potential difference remain unresolved. To address this issue, we used specific quantitative immunostaining protocols to determine whether a panel of biomarkers related to apoptosis including caveolin-1, bcl-2, p53, and c-myc were differentially expressed in AA versus white prostate cancer patients with similar clinical and pathological characteristics. We further attempted to correlate biomarker positivity with proliferation-related markers including Ki-67 labeling index and apoptotic index. Interestingly, our results indicated that only the incidence of caveolin-1 staining was significantly different between these two ethnic/racial groups of prostate cancer patients. The incidence of caveolin-1 staining in white patients was 17% compared with 39% in AA patients (P = 0.0048; Fisher's exact test). In addition, the percentage of caveolin-1-positive prostate cancer cells was also higher in moderately differentiated (Gleason score 6) prostate cancer patients in AA versus whites. Because caveolin-1 has been shown previously to demonstrate antiapoptotic activities in prostate cancer cells, our results suggest that differences in caveolin-1 expression may in part underlie the apparent differences in the clinical virulence of this disease in AA versus white prostate cancer patients.
System-level design of a readout circuit with thermostatic control for a MEMS pellistor sensor (2015)

Catalytic flammable gas sensors detect the presence of flammable gasses in air at a non-dangerous concentration level, thus helping in the prevention of explosion risks. These devices are usually operated without thermal control i.e. they measure the temperature increase of a detector induced by the catalytic combustion of the flammable gas. We propose the system-level design of a bias and readout system that directly measures the heat produced by the catalytic combustion. The proposed solution operates the sensor at a constant temperature via a feedback scheme that contains two thermal feedback loops. We chose a feedback control that uses pulse-density modulation, thus the proposed system implements a direct analog-to-digital conversion of the heat produced by the catalytic combustion. In practice, this mixed-signal front-end for pellistors is expected to extend the functionality and precision of the sensor while providing with a simple implementation.
An Approach to a Systematic Study of Ego Function (1958)

(1958). An Approach to a Systematic Study of Ego Function. The Psychoanalytic Quarterly: Vol. 27, No. 2, pp. 237-245.
A noise-resilient equalization algorithm for OFDM systems (2003)

The complex time-domain equalization can be replaced by simple frequency-domain equalization in OFDM systems. This is one of the key advantages of the OFDM technique. On the other hand, channel noise affects the accuracy of channel estimation, deteriorating the performance of equalization. We present in the paper a novel algorithm, which is based on the well-known Walsh transform, to mitigate the noise effects in equalization. The performance of the proposed algorithm is very close to that with perfect channel estimation, while the computation required is pretty small due to the use of Walsh transform.
Abstract generation based on rhetorical structure extraction (1994)

We have developed an automatic abstract generation system for Japanese expository writings based on rhetorical structure extraction. The system first extracts the rhetorical structure, the compound of the rhetorical relations between sentences, and then cuts out less important parts in the extracted structure to generate an abstract of the desired length.Evaluation of the generated abstract showed that it contains at maximum 74% of the most important sentences of the original text. The system is now utilized as a text browser for a prototypical interactive document retrieval system.
Class-Based Smoothing to Estimate the Probability of Domain Terms (2007)

This paper proposes a method to estimate the probability of a special kind of domain term, namely the probability of an anatomy noun appearing as a part or modifier of a disease named phrase, which is used for the sparse data smoothing of disease named phrase recognition. The method is to estimate the probabilities in terms of senses from a semantic hierarchy, and exploit the fact that the terms can be grouped into classes based on interrelated semantic senses. The class-based smoothing re-creates terms co-occurrence frequencies based on the information provided by a semantic hierarchy, in order to estimate the frequencies of candidate string occurring in an argument position. In this paper, the semantic hierarchy comes from the modularizing or partitioning of anatomy ontology. The modularizing method is to extract maximum spanning sub-trees, under restrictions, from the ontology that expresses foundational anatomical objects and relations. Through the partitioning, some sub-models are extracted. The sub-models form the foundation of the semantic hierarchy. A procedure is carried out that makes a "tree cut" model on the hierarchy structure as a back-off model to estimate probability distribution of terms. The determinative criterion of the "tree cut" is introduced according to chi-squared statistic and freedom degree two parameters.
Blood tests for the diagnosis of venous and arterial thrombosis (1981)

There are many reports in the literature of blood test abnormalities occurring in patients with venous or arterial thrombosis. Most of these have not used acceptable criteria for establishing an association between thrombosis and blood tests and, therefore, their interpretation is questionable. Recently, sensitive and specific assays have been developed for the detection of products of intravascular thrombin formation, of plasmin digests of fibrin or fibrinogen and of platelet specific proteins that are released into the plasma when platelets react with stimuli. Blood abnormalities have been sought that can either predict or detect venous thrombosis. Many of the predictive tests evaluated are nonspecific acute phase reactant responses to inflammation; of these, only reduced fibrinolytic activity has been consistently reported to be associated with postoperative venous thrombosis. Hereditary antithrombin III deficiency has been consistently shown to predispose patients to venous thrombosis. Abnormalities of the plasminogen and fibrinogen molecule have also been described in patients with familial or recurrent venous thrombosis but these are rare and the association could be coincidental. Two blood tests, the fibrinopeptide A assay and the assay for fibrin/fibrinogen fragment E are highly sensitive to acute venous thromboembolism in symptomatic patients but both are nonspecific. Elevated levels of beta thromboglobulin and platelet factor 4 have been reported in patients with arterial thromboembolism but the sensitivity and specificity of these findings is presently unknow.
Studies of ligand-induced site-specific phosphorylation of epidermal growth factor receptor (2003)

The epidermal growth factor receptor (EGFR) is a receptor tyrosine kinase involved in the regulation of growth in many animal cells, including cancer cells. Phosphorylation of specific tyrosine residues within the cytoplasmic domain of EGFR is part of the initial activation process that occurs upon ligand binding, and these phosphotyrosine residues subsequently serve as docking sites for intracellular signaling molecules. To study the phosphorylation on each individual site, EGFR generated from a human epidermoid carcinoma cell line (A431) was analyzed by mass spectrometry. Liquid chromatography combined with tandem mass spectrometry (LC/MS/MS) was used to identify the tryptic phosphopeptides and their sites of phosphorylation (Y992, Y1045, Y1068, Y1086, S1142, Y1148, and Y1173). Ion intensities for the phosphorylated and unphosphorylated tryptic peptides containing the sites of phosphorylation were measured, and the intensity ratios were used to assess the degree of phosphorylation at each site. Ligand concentrations were varied for epidermal growth factor (EGF) and transforming growth factor alpha (TGF alpha) as stimuli, and all of the EGFR tyrosine sites were consequently found to exhibit increased levels of phosphorylation, although at different rates and to different extents. Phosphorylation of Y992 appeared to plateau at lower concentrations of ligand, whereas the other sites continued to have increased phosphorylation throughout a wide range of concentrations. Only small differences could be detected between the EGF and the TGF alpha-induced EGFR phosphorylation. Pretreatment of A431 cells with a small molecule EGFR inhibitor nearly eliminated the ligand-induced phosphorylation on all of the sites except for Y992 and Y1068.
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection (2019)

Advanced attack campaigns span across multiple stages and stay stealthy for long time periods. There is a growing trend of attackers using off-the-shelf tools and pre-installed system applications (such as powershell and wmic) to evade the detection because the same tools are also used by system administrators and security analysts for legitimate purposes for their routine tasks. Such a dual nature of using these tools makes the analyst's task harder when it comes to spotting the difference between attack and benign activities. To start investigations, event logs can be collected from operational systems; however, these logs are generic enough and it often becomes impossible to attribute a potential attack to a specific attack group. Recent approaches in the literature have used anomaly detection techniques, which aim at distinguishing between malicious and normal behavior of computers or network systems. Unfortunately, anomaly detection systems based on point anomalies are too rigid in a sense that they could miss the malicious activity and classify the attack, not an outlier. Therefore, there is a research challenge to make better detection of malicious activities. To address this challenge, in this paper, we leverage Group Anomaly Detection (GAD), which detects anomalous collections of individual data points. Our approach is to build a neural network model utilizing Adversarial Autoencoder (AAE-alpha) in order to detect the activity of an attacker who leverages off-the-shelf tools and system applications. In addition, we also build Behavior2Vec and Command2Vec sentence embedding deep learning models specific for feature extraction tasks. We conduct extensive experiments to evaluate our models on real-world datasets collected for a period of two months. Our method discovered 2 new attack tools used by targeted attack groups and multiple instances of malicious activity. The empirical results demonstrate that our approach is effective and robust in discovering targeted attacks, pen-tests, and attack campaigns leveraging custom tools.
TriTrypDB: a functional genomic resource for the Trypanosomatidae (2009)

TriTrypDB (http://tritrypdb.org) is an integrated database providing access to genome-scale datasets for kinetoplastid parasites, and supporting a variety of complex queries driven by research and development needs. TriTrypDB is a collaborative project, utilizing the GUS/WDK computational infrastructure developed by the Eukaryotic Pathogen Bioinformatics Resource Center (EuPathDB.org) to integrate genome annotation and analyses from GeneDB and elsewhere with a wide variety of functional genomics datasets made available by members of the global research community, often pre-publication. Currently, TriTrypDB integrates datasets from Leishmania braziliensis, L. infantum, L. major, L. tarentolae, Trypanosoma brucei and T. cruzi. Users may examine individual genes or chromosomal spans in their genomic context, including syntenic alignments with other kinetoplastid organisms. Data within TriTrypDB can be interrogated utilizing a sophisticated search strategy system that enables a user to construct complex queries combining multiple data types. All search strategies are stored, allowing future access and integrated searches. 'User Comments' may be added to any gene page, enhancing available annotation; such comments become immediately searchable via the text search, and are forwarded to curators for incorporation into the reference annotation when appropriate.