gebhart/patrepeval huggingface dataset:
1662: Volume-Based Evaluation of the Ratio of Precursor Prostate-Specific Antigen Isoforms in the Detection of Prostate Cancer (2004)

You have accessJournal of UrologyTuesday, May 11, 2004, 1:00 - 3:00 pm1 Apr 20041662: Volume-Based Evaluation of the Ratio of Precursor Prostate-Specific Antigen Isoforms in the Detection of Prostate Cancer Yoshio Naya, Herbert A. Fritsche, Viju A. Bhadkamkar, Stephen D. Mikolajczyk, Harry G. Rittenhouse, and Richard J. Babaian Yoshio NayaYoshio Naya More articles by this author , Herbert A. FritscheHerbert A. Fritsche More articles by this author , Viju A. BhadkamkarViju A. Bhadkamkar More articles by this author , Stephen D. MikolajczykStephen D. Mikolajczyk More articles by this author , Harry G. RittenhouseHarry G. Rittenhouse More articles by this author , and Richard J. BabaianRichard J. Babaian More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(18)38870-0AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "1662: Volume-Based Evaluation of the Ratio of Precursor Prostate-Specific Antigen Isoforms in the Detection of Prostate Cancer." The Journal of Urology, 171(4S), pp. 439–440 © 2016 by American Urological AssociationFiguresReferencesRelatedDetails Volume 171Issue 4SApril 2004Page: 439-440 Advertisement Copyright & Permissions© 2016 by American Urological AssociationMetricsAuthor Information Yoshio Naya More articles by this author Herbert A. Fritsche More articles by this author Viju A. Bhadkamkar More articles by this author Stephen D. Mikolajczyk More articles by this author Harry G. Rittenhouse More articles by this author Richard J. Babaian More articles by this author Expand All Advertisement PDF DownloadLoading ...
Geometric systematic prostate biopsy (2016)

The study demonstrates mathematically that the geometric biopsy schema plays an important clinical role, and that increasing the number of biopsy cores is not necessarily helpful.
The metabolism and distribution of docosapentaenoic acid (n−6) in rats and rat hepatocytes (2000)

In this study, a new marine oil that contains 45% docosahexaenoic acid (DHA, 22:6n-3) and 13% docosapentaenoic acid (DPA, 22:5n-6) was administered to rats. The metabolism and distribution of DPA in rats was investigated. In experiment 1, the effects of DHA and n-6 fatty acids (linoleic acid, LA; arachidonic acid, AA; and DPA) on AA contents were investigated in vivo. LA group: LA 25%, DHA 30%; LA-DPA group: LA 15%, DPA 10%, DHA 35%; LA-AA-DPA group: LA 10%, AA 5%, DPA 10%, DHA 35% were administered to rats for 4 wk. In the liver, the AA content in the LA-DPA and LA-AA-DPA groups was significantly higher than in the LA group. The decreased AA contents in the LA group might be caused by DHA administration. Although DHA also was administered in the LA-DPA and LA-AA-DPA groups, the AA contents in these two groups did not decrease. These results suggested that DPA retroconverted to AA, blunting the decrease in AA content caused by DHA administration. To conduct a detailed investigation on DPA metabolism and its relation with AA and DHA, rat hepatocytes were cultured with purified DPA and DHA for 24 h. We discovered the retroconversion of DPA to AA occurred only when AA content was decreased by a high DHA administration; it did not occur when AA content was maintained at a normal level.
A Quantification of the Lung Surface Area in Emphysema Using Computed Tomography (1999)

Quantitative analysis of computed tomography (CT) has been combined with a stereologically based histologic analysis of lung structure to assess regional lung inflation and the structural features of the lung parenchyma. In this study, CT measurements of lung inflation were compared with histologic estimates of surface area in order to develop prediction equations that allow lung surface to volume ratio and surface area to be predicted from an analysis of the CT scan. The results show that mild emphysema is associated with an increase in lung volume and a reduction in surface to volume ratio, whereas surface area and tissue weight were only decreased in severe disease. The CT predicted surface to volume ratio correlated with histology, and both predicted and measured surface areas correlated with the diffusing capacity. We conclude that this CT analysis can be used to monitor the progression of emphysematous lung destruction in individual patients, and to assess the impact of both surgical and medical treatments for emphysema.
Synthesis of Ibuprofen Conjugated Molecular Transporter Capable of Enhanced Brain Penetration (2017)

Based on the strong evidences between inflammation and neurodegeneration, nonsteroidal anti-inflammatory drugs (NSAIDs), such as ibuprofen, are considered as effective agents to reduce the risk of Alzheimer’s and Parkinson’s disease. However, the clinical use of NSAIDs in these diseases is limited by low brain distribution. In this study, we had synthesized ibuprofen conjugate which has good brain penetration. S -(+)-Ibuprofen was covalently attached to a molecular transporter having FITC and eight terminal guanidine groups. This conjugate showed good cellular uptake property in live cells. It was also injected into a mouse and the distribution of the compound was examined in each organ. The conjugate was well delivered to mouse brain indicating the conjugate is able to cross the blood-brain barrier. Our novel synthetic ibuprofen conjugate will hopefully deliver other NSAIDs into brain and is therefore applicable to the neurodegenerative diseases treatment or prevention.
A contactless detector for tremors (2015)

This paper presents a contactless method to sense rest tremors of hands using a magnetic induction sensor. This tool can quantitatively document tremor motion characteristics of patients for diagnosis of essential tremors or early Parkinson's disease. The tremor signals can be analyzed in the time, frequency and time-frequency domains. Interferences from voluntary movements between 0 and 2 Hz were separated from the original signals. Various pathological frequency bands were segmented according to the clinical features of the tremors. Signal energies of the pathological frequency segments could be used for identifying tremor symptoms quantitatively.
Knowledge-based registration & segmentation of the left ventricle: a level set approach (2003)

In this paper, we propose a level set formulation to deal with the segmentation and registration of the left ventricle in Magnetic Resonance (MR) images. Our approach is based on the integration of visual information, anatomical constraints and a flexible shape-driven cardiac model. The visual information is expressed through an intensity-based grouping module. The anatomical constraint accounts for the relative positions of the structures of interest. Global shape consistency is introduced by seeking for the lowest potential of the distance between the solution and the prior model. Registration is obtained using the same criterion where the transformation that aligns the latest segmentation map to either the shape model or to the previous segmentation result (temporal domain) is to be recovered.
A novel device structure using a shared-subcollector, cascoded inverse-mode SiGe HBT for enhanced radiation tolerance (2009)

We present a novel device structure using an inverse-mode, cascoded (IMC) SiGe HBT for improved tolerance of heavy ion irradiation. The cascoded SiGe device consists of a forward-mode, common-emitter SiGe HBT cascoded with a common-base inverse-mode SiGe HBT, with the subcollector region of the two devices shared. The device was fabricated in both first and third-generation, commercially-available SiGe HBT technologies. The third-generation IMC device was measured to have over 20 dB of current gain and over 30 dB of power gain at 10 GHz. In addition, the measured total dose radiation response and simulated current transients are presented. These results demonstrate the potential use of these devices in high-speed circuits intended for operation in space or other extreme environments.
Compression tolerant watermarking for image verification (2002)

Digital watermarking is seen as a viable solution to authentication of multimedia data and hence its security, especially in a networked environment. We present a new watermarking technique to add a code to digital images in the spatial domain. This technique is further shown to be robust under common compression schemes, including lossy compression schemes. Watermark embedding is done keeping in mind the limitations of the human visual system. We have used a procedure for error diffusion so as to minimize the chances of image tampering. For the verification of the image, the original uncorrupted image is not required. Experimental results show that the watermark is robust to JPEG compression.
Toward automatic policy refinement in repair services for large distributed systems (2010)

In order to be economically feasible and to offer high levels of availability and performance, large scale distributed systems depend on the automation of repair services. While there has been considerable work on mechanisms for such automated services, a framework for evaluating and optimizing the policies governing such mechanisms has been lacking. In this paper we propose one such framework and report on our initial experience in applying the framework to analyze and optimize the operation a geo-distributed cloud storage system at Microsoft.
Gonioscopy assisted transluminal trabeculotomy: an ab interno circumferential trabeculotomy for the treatment of primary congenital glaucoma and juvenile open angle glaucoma (2015)

The preliminary results and safety for GATT, a minimally invasive conjunctival sparing circumferential trabeculotomy, are promising and at least equivalent to previous results for ab externo trabeculotomy for the treatment of PCG and JOAG. All eyes in the study were considered a clinical success.
Single-Image Vignetting Correction (2006)

In this paper, we propose a method for determining the vignetting function given only a single image. Our method is designed to handle both textured and untextured regions in order to maximize the use of available information. To extract vignetting information from an image, we present adaptations of segmentation techniques that locate image regions with reliable data for vignetting estimation. Within each image region, our method capitalizes on frequency characteristics and physical properties of vignetting to distinguish it from other sources of intensity variation. The vignetting data acquired from regions are weighted according to a presented reliability measure to promote robustness in estimation. Comprehensive experiments demonstrate the effectiveness of this technique on a broad range of images.
Comparison of the PspA Sequence from<i>Streptococcus pneumoniae</i>EF5668 to the Previously Identified PspA Sequence from Strain Rx1 and Ability of PspA from EF5668 To Elicit Protection against Pneumococci of Different Capsular Types (1998)

PspA (pneumococcal surface protein A) is a serologically varied virulence factor of Streptococcus pneumoniae. In mice, PspA has been shown to elicit an antibody response that protects against fatal challenge with encapsulated S. pneumoniae, and the protection-eliciting residues have been mapped to the alpha-helical N-terminal half of the protein. To date, a published DNA sequence for pspA is available only for S. pneumoniae Rx1, a laboratory strain. PspA/EF5668 (EF5668 indicates the strain of origin of the PspA) is serologically distinct from PspA/Rx1. Sequencing of the gene encoding PspA/EF5668 revealed 71% identity with that of PspA/Rx1. The greatest amount of divergence between the two proteins was seen in their alpha-helical portions, which are surface exposed and probably under selective pressure to diversify serologically. In spite of the diversity within the alpha-helical regions of PspAs, we have observed that recombinant PspA (rPspA)/EF5668, like rPspA/Rx1, can elicit cross-protection against pneumococci of different capsular and PspA serological types.
Regulation of Oleoresinosis in Grand Fir (<i>Abies grandis</i>)1 (1998)

Grand fir (Abies grandis Lindl.) has been developed as a model system for the study of wound-induced oleoresinosis in conifers as a response to insect attack. Oleoresin is a roughly equal mixture of turpentine (85% monoterpenes [C10] and 15% sesquiterpenes [C15]) and rosin (diterpene [C20] resin acids) that acts to seal wounds and is toxic to both invading insects and their pathogenic fungal symbionts. The dynamic regulation of wound-induced oleoresin formation was studied over 29 d at the enzyme level by in vitro assay of the three classes of synthases directly responsible for the formation of monoterpenes, sesquiterpenes, and diterpenes from the corresponding C10, C15, and C20 prenyl diphosphate precursors, and at the gene level by RNA-blot hybridization using terpene synthase class-directed DNA probes. In overall appearance, the shapes of the time-course curves for all classes of synthase activities are similar, suggesting coordinate formation of all of the terpenoid types. However, closer inspection indicates that the monoterpene synthases arise earlier, as shown by an abbreviated time course over 6 to 48 h. RNA-blot analyses indicated that the genes for all three classes of enzymes are transcriptionally activated in response to wounding, with the monoterpene synthases up-regulated first (transcripts detectable 2 h after wounding), in agreement with the results of cell-free assays of monoterpene synthase activity, followed by the coordinately regulated sesquiterpene synthases and diterpene synthases (transcription beginning on d 3-4). The differential timing in the production of oleoresin components of this defense response is consistent with the immediate formation of monoterpenes to act as insect toxins and their later generation at solvent levels for the mobilization of resin acids responsible for wound sealing.
Peroxisome Proliferator–Activated Receptor γ and Metabolic Disease (2001)

The nuclear peroxisome proliferator-activated receptor gamma (PPAR gamma) is a transcription factor that is activated by polyunsaturated fatty acids and their metabolites and is essential for fat cell formation. Although obesity is a strong risk factor for type 2 diabetes mellitus and other metabolic diseases, potent PPAR gamma activators such as the glitazone drugs lower glucose and lipid levels in patients with type 2 diabetes and also have antiatherosclerotic and antihypertensive effects. We review recent studies providing insight into the paradoxical relationship between PPAR gamma and metabolic disease. We also review recent advances in understanding the structural basis for PPAR gamma activation by ligands. The unusual ligand-binding properties of PPAR gamma suggest that it will be possible to discover new chemical classes of receptor "modulators" with distinct pharmacological activities for the treatment of type 2 diabetes and other metabolic diseases.
Multi‐Center Clinical Evaluation of a Chairside Method for Detecting Certain Periodontopathic Bacteria in Periodontal Disease (1990)

The association of bacteroides gingivalis, Bacteroides forsythus, Treponema denticola, and Actinobacillus actinomycetemcomitans among others with periodontal disease offers the opportunity for the development of diagnostic tests that are based upon the detection and/or quantification of one or more of these organisms or their by-products in the plaque. Three of the putative periodontal pathogens namely, T. denticola, B. gingivalis, and B. forsythus, can hydrolyze the synthetic trypsin substrate, N-benzoyl-DL-arginine-2-naphthylamide (BANA) forming a color reaction. The present investigation evaluated a commercially developed solid state assay for BANA hydrolysis that can be read after 15 minutes incubation at chairside. A total of 702 subgingival plaque samples were collected from 117 patients seen at four university dental clinics and placed on reagent cards. The color development on the cards was compared to the presence of T. denticola and B. gingivalis in the plaque, and with the clinical appearance of the sampled sites. This multi-center study demonstrated that antibodies to B. gingivalis and T. denticola could detect these organisms by an ELISA in the majority of the subgingival plaque samples. Comparable information could be obtained when the same plaques were evaluated by the reagent card format for BANA hydrolysis. The ELISA and reagent card were comparable in their ability to distinguish between clinically healthy and diseased sites. Both diagnostic procedures detected the periodontopathogens in plaques from sites that were judged clinically healthy.(ABSTRACT TRUNCATED AT 250 WORDS)
Distributional measurement of effective refractive index differences of multimode fibers by Brillouin spectrum decomposition (2017)

A novel method for distributionally evaluating the effective refractive index differences, Δ<i>n<sub>eff</sub></i>, in multimode optical fibers is presented based on the Brillouin spectrum analysis. The proposed method is successfully demonstrated in GeO<sub>2</sub>-doped step-index 2-mode fibers, for evaluating Δ<i>n<sub>eff</sub></i> between LP<sub>01</sub> and LP<sub>11</sub> modes, and the method could be straightforwardly expanded to fibers containing higher-order modes, by using a mode demultiplexer supporting the higher-order mode. To the authors’ best knowledge, this is the first report of distributional measurements of the effective refractive index differences in multimode optical fibers.
Electronic musical instrument (1979)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Wilfried Dittmar; Electronic musical instrument. J. Acoust. Soc. Am. 1 March 1979; 65 (3): 875. https://doi.org/10.1121/1.382444 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAcoustical Society of AmericaThe Journal of the Acoustical Society of America Search Advanced Search |Citation Search
Chondroinduction from Naturally Derived Cartilage Matrix: A Comparison Between Devitalized and Decellularized Cartilage Encapsulated in Hydrogel Pastes (2016)

Hydrogel precursors are liquid solutions that are prone to leaking after surgical placement. This problem was overcome by incorporating either decellularized cartilage (DCC) or devitalized cartilage (DVC) microparticles into traditional photocrosslinkable hydrogel precursors in an effort to achieve a paste-like hydrogel precursor. DCC and DVC were selected specifically for their potential to induce chondrogenesis of stem cells, given that materials that are chondroinductive on their own without growth factors are a revolutionary goal in orthopedic medicine. We hypothesized that DVC, lacking the additional chemical processing steps in DCC to remove cell content, would lead to a more chondroinductive hydrogel with rat bone marrow-derived mesenchymal stem cells. Hydrogels composed of methacrylated hyaluronic acid (MeHA) and either DCC or DVC microparticles were tested with and without exposure to transforming growth factor (TGF)-β3 over a 6 week culture period, where swelling, mechanical analysis, and gene expression were observed. For collagen II, Sox-9, and aggrecan expression, MeHA precursors containing DVC consistently outperformed the DCC-containing groups, even when the DCC groups were exposed to TGF-β3. DVC consistently outperformed all TGF-β3-exposed groups in aggrecan and collagen II gene expression as well. In addition, when the same concentrations of MeHA with DCC or DVC microparticles were evaluated for yield stress, the yield stress with the DVC microparticles was 2.7 times greater. Furthermore, the only MeHA-containing group that exhibited shape retention was the group containing DVC microparticles. DVC appeared to be superior to DCC in both chondroinductivity and rheological performance of hydrogel precursors, and therefore DVC microparticles may hold translational potential for cartilage regeneration.
Structure-Based Vaccines Provide Protection in a Mouse Model of Ehrlichiosis (2011)

Our results demonstrate the power of structural vaccines and could be a new strategy in the development of vaccines to provide protection against pathogenic microorganisms.
Nonparametric Tree‐Based Predictive Modeling of Storm Outages on an Electric Distribution Network (2016)

This article compares two nonparametric tree-based models, quantile regression forests (QRF) and Bayesian additive regression trees (BART), for predicting storm outages on an electric distribution network in Connecticut, USA. We evaluated point estimates and prediction intervals of outage predictions for both models using high-resolution weather, infrastructure, and land use data for 89 storm events (including hurricanes, blizzards, and thunderstorms). We found that spatially BART predicted more accurate point estimates than QRF. However, QRF produced better prediction intervals for high spatial resolutions (2-km grid cells and towns), while BART predictions aggregated to coarser resolutions (divisions and service territory) more effectively. We also found that the predictive accuracy was dependent on the season (e.g., tree-leaf condition, storm characteristics), and that the predictions were most accurate for winter storms. Given the merits of each individual model, we suggest that BART and QRF be implemented together to show the complete picture of a storm's potential impact on the electric distribution network, which would allow for a utility to make better decisions about allocating prestorm resources.
Jointly Modeling Embedding and Translation to Bridge Video and Language (2015)

Automatically describing video content with natural language is a fundamental challenge of multimedia. Recurrent Neural Networks (RNN), which models sequence dynamics, has attracted increasing attention on visual interpretation. However, most existing approaches generate a word locally with given previous words and the visual content, while the relationship between sentence semantics and visual content is not holistically exploited. As a result, the generated sentences may be contextually correct but the semantics (e.g., subjects, verbs or objects) are not true. This paper presents a novel unified framework, named Long Short-Term Memory with visual-semantic Embedding (LSTM-E), which can simultaneously explore the learning of LSTM and visual-semantic embedding. The former aims to locally maximize the probability of generating the next word given previous words and visual content, while the latter is to create a visual-semantic embedding space for enforcing the relationship between the semantics of the entire sentence and visual content. Our proposed LSTM-E consists of three components: a 2-D and/or 3-D deep convolutional neural networks for learning powerful video representation, a deep RNN for generating sentences, and a joint embedding model for exploring the relationships between visual content and sentence semantics. The experiments on YouTube2Text dataset show that our proposed LSTM-E achieves to-date the best reported performance in generating natural sentences: 45.3% and 31.0% in terms of BLEU@4 and METEOR, respectively. We also demonstrate that LSTM-E is superior in predicting Subject-Verb-Object (SVO) triplets to several state-of-the-art techniques.