gebhart/patrepeval huggingface dataset:
Weissella jogaejeotgali sp. nov., isolated from jogae jeotgal, a traditional Korean fermented seafood (2015)

Strain FOL01T was isolated from traditionally fermented Korean jogae jeotgal (fermented clams). Phylogenetic sequence analysis of the 16S rRNA gene from FOL01T revealed that it is closely related to Weissella thailandensis FS61-1T and Weissella paramesenteroides ATCC 33313T with 99.39 % and 98.50 % 16S rRNA gene sequence similarities, respectively. API and VITEK analyses showed that strain FOL01T could be separated from its nearest phylogenetic relatives with respect to carbohydrate fermentation and antibiotic resistance. Subsequent amplified rRNA gene restriction analysis of 16S rRNA genes and HaeIII-restriction enzyme profiling of genomic DNAs revealed different band patterns. In addition, DNA-DNA hybridization of genomic DNAs showed 63.9 % relatedness. Analysis of the composition of cellular fatty acids confirmed that strain FOL01T differs from its close relatives and supports the proposal to assign this organism to a novel species of the genus Weissella. Based on these results, strain FOL01T could be classified as a novel species of the genus Weissella, for which the name Weissella jogaejeotgali sp. nov. is proposed. The type strain is FOL01T ( = KCCM 43128T = JCM 30589T).
Energy-Aware Data Collection in Sensor Networks: A Localized Selective Sampling Approach (2005)

One of the most prominent and comprehensive ways of data collection in sensor networks is to periodically extract raw sensor readings. This way of data collection enables complex analysis of data, which may not be possible with in-network aggregation or query processing. However, this flexibility in data analysis comes at the cost of power consumption. In this paper, we introduce selective sampling for energy-efficient periodic data collection in sensor networks. The main idea behind selective sampling is to use a dynamically changing subset of nodes as samplers such that the sensor readings of sampler nodes are directly collected, whereas the values of non-sampler nodes are predicted through the use of probabilistic models that are locally and periodically constructed in an in-network manner. Selective sampling can be effectively used to increase the network lifetime while keeping quality of the collected data high, in scenarios where either the spatial density of the network deployment is superfluous relative to the required spatial resolution for data analysis or certain amount of data quality can be traded off in order to decrease the overall power consumption of the network. Our selective sampling approach consists of three main mechanisms. First, sensing-driven cluster construction is used to create clusters within the network such that nodes with close sensor readings are assigned to the same clusters. Second, correlation-based sampler selection and model derivation is used to determine the sampler nodes and to calculate the parameters of probabilistic models that capture the spatial and temporal correlations among sensor readings. Last, selective data collection and model-based prediction is used to minimize the number of messages used to extract data from the network. A unique feature of our selective sampling mechanisms is the use of localized schemes, as opposed to the protocols requiring global information, to select and dynamically refine the subset of sensor nodes serving as samplers and the modelbased value prediction for non-sampler nodes. Such runtime adaptations create a data collection schedule which is self-optimizing in response to changes in energy levels of nodes and environmental dynamics.
Drop2Print: a model for PDF-specifications to drive the discovery of print service providers (2011)

Not Included
Metaplastic Breast Cancer: Clinical Features and Outcomes (2005)

Metaplastic carcinoma of the breast, a neoplasm with both epithelial and mesenchymal elements, represents less than 1 per cent of all breast cancer. We reviewed the records of all patients diagnosed with localized metaplastic breast cancer from 1991 to 2003 at our institution. We identified 21 patients. Mean primary tumor size was 4.62 cm. Eight patients (38%) had axillary node involvement at presentation. All the tumors were high grade. Only two (10%) of the tumors were hormone receptor positive. Seventeen (81%) of the patients received adjuvant chemotherapy, and 12 (57%) of the patients received radiation. Ten (29%) patients suffered a local recurrence. With a mean follow-up of 46 months, the 5-year disease-free and overall survival was 42 per cent (95% CI: 20% to 65%) and 71 per cent (95% CI: 46% to 96%), respectively. Stage-specific overall survival was 100 per cent, 83 per cent, and 53 per cent for stages I, II, and III, respectively. By multivariate analysis, there was no impact on recurrence or survival with regard to size, age, menopausal status, nodal status, histologic subtype, adjuvant therapy, or extent of surgery. Metaplastic breast cancer is a unique neoplasm that tends to present at an advanced stage and has a propensity for local recurrence. When stratified by stage, however, survival appears similar to that of adenocarcinoma of the breast, and these tumors should be treated as such.
Making Large Suction Panels For Laminar-Flow Control (1991)

Perforated titanium panels used to identify and resolve issues related to manufacture. Recently, relatively large suction panels with aerodynamically satisfactory surface perforations and with surface contours and smoothness characteristics necessary for Laminar-Flow Control (LFC) designed, fabricated, and tested. Requirements of production lines for commercial transport airplanes carefully considered in development of panels. Sizes of panels representative of what is used on wing of commercial transport airplane. Tests of perforated panels in transonic wind tunnel demonstrated aerodynamic stability at flight mach numbers.
Self-scheduling on distributed-memory machines (1993)

We preseni a general approach of self-scheduling a non-uniform parallel loop on a distributed-memory nzachine. The approach has two phases: a static schedu!tng phase and a dynamic scheduling phase. In addition to reduce scheduling overhead, using the static scheduling phase allows the data needed by the staticallyscheduled iterations to beprefetched. The dynamic scheduling phase balances the workload. Data dastrtbution methods for setf-schedulmg are also the focus of this paper. We classify the data distribution methods into four categories and present partial duplication, a method that allows the problem size to grow ltnearly in the number of processors. The experiments conducted on a 64-node NCUBE show that as much as 79% improvement is achieved over static scheduling on the generdion of a false-color image.
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data (2021)

The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, and complicated feelings or emotions. After the initiation of vaccinations against coronavirus, people's feelings have become more diverse and complex. Our aim is to understand and unravel their sentiments in this research using deep learning techniques. Social media is currently the best way to express feelings and emotions, and with the help of Twitter, one can have a better idea of what is trending and going on in people's minds. Our motivation for this research was to understand the diverse sentiments of people regarding the vaccination process. In this research, the timeline of the collected tweets was from December 21 to July21. The tweets contained information about the most common vaccines available recently from across the world. The sentiments of people regarding vaccines of all sorts were assessed using the natural language processing (NLP) tool, Valence Aware Dictionary for sEntiment Reasoner (VADER). Initializing the polarities of the obtained sentiments into three groups (positive, negative, and neutral) helped us visualize the overall scenario; our findings included 33.96% positive, 17.55% negative, and 48.49% neutral responses. In addition, we included our analysis of the timeline of the tweets in this research, as sentiments fluctuated over time. A recurrent neural network- (RNN-) oriented architecture, including long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM), was used to assess the performance of the predictive models, with LSTM achieving an accuracy of 90.59% and Bi-LSTM achieving 90.83%. Other performance metrics such as precision,, F1-score, and a confusion matrix were also used to validate our models and findings more effectively. This study improves understanding of the public's opinion on COVID-19 vaccines and supports the aim of eradicating coronavirus from the world.
Biosynthesis and Properties of Medium-Chain-Length Polyhydroxyalkanoates with Enriched Content of the Dominant Monomer (2012)

When grown in a nonanoic acid-limited chemostat at a dilution rate of 0.25 h(-1), Pseudomonas putida KT2440 produced poly(3-hydroxynonanoate-co-3-hydroxyheptanoate) containing 68 mol % 3-hydroxynonanoate (C9) and 32 mol % 3-hydroxyheptanoate (C7). Under the same conditions, but in the presence of acrylic acid, a fatty acid β-oxidation inhibitor, the C9 monomer content increased to 88 mol %. Cofeeding glucose (3.9 g L(-1)) and nonanoic acid (2.9 ± 0.1 g L(-1)) in continuous culture with 0.2 g L(-1) of acrylic acid in the feed, further increased the C9 content to 95 mol %. A yield of PHA from nonanoic acid of 0.93 mol mol(-1) was attained. PHA with a 3-hydroxyoctanoate (C8) content of 98 mol % was produced with the same cofeeding methodology from octanoic acid. As the dominant monomer content increased, the melting point of the poly(3-hydroxynonanoate) copolymers increased from 46 to 63 °C and that of the poly(3-hydroxyoctanoate) copolymers from 54 to 62 °C. All copolymer compositions resulted in elongation to break values of about 1300%, but tensile strength at break and Young's modulus both increased with increasing amounts of the dominant monomer.
Notes on Other Actuarial Journals (1969)

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Die Erforschung von Zellsignalen mit der Patch-Clamp-Technik (1992)

Eine verblüffend einfache Methode ermöglicht es, einzelne Ionenkanäle in Zellmembranen auf ihre Funktion zu untersuchen. Damit ließen sich grundlegende Erkenntnisse über die Signalübertragung bei Zellen gewinnen.
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings (2019)

The Word Mover's Distance (WMD) proposed by Kusner et al. is a distance between documents that takes advantage of semantic relations among words that are captured by their embeddings. This distance proved to be quite effective, obtaining state-of-art error rates for classification tasks, but is also impracticable for large collections/documents due to its computational complexity. For circumventing this problem, variants of WMD have been proposed. Among them, Relaxed Word Mover's Distance (RWMD) is one of the most successful due to its simplicity, effectiveness, and also because of its fast implementations. Relying on assumptions that are supported by empirical properties of the distances between embeddings, we propose an approach to speed up both WMD and RWMD. Experiments over 10 datasets suggest that our approach leads to a significant speed-up in document classification tasks while maintaining the same error rates.
Blind retrospective motion correction of MR images (2013)

The presented technique can be an alternative or a complement to prospective motion correction methods and is able to improve images with strong motion artifacts from standard imaging sequences without requiring additional data.
A probability model for regional focal mechanism solutions (1980)

abstract The increase in the number of determinations of fault-plane solutions and their use for inferences on regional and local tectonics and stress fields makes it advisable to treat them in a standard way in groups on a regional basis. Probability models for joint group estimation of the shear dislocations, involving data from I earthquakes and J observations of the same region, are presented. The general model gives the probability πij of reading a compression (Yij = 1) for the P wave from event i at station j as Prob { Y i j = 1 } = γ i + ( 1 − 2 γ i ) Φ ( ρ i A i j ) where γ and ρ are precision parameters and Φ is the normal cumulative. This probability depends on Aij (θ), the theoretical amplitudes from a particular orientation of the greatest and least axes of principal stress for the regional solution. Estimates of the principal stress axes T and P and their variances are computed by constructing a loss function based on the likelihood. The algorithm allows for the estimation of a mean regional solution and one for each event. A treatment of measures of fit and the winnowing of clusters of solutions is given. The resulting program has been applied to the determination of the regional solution and exceptional mechanisms for the main shock and 25 aftershocks of the great 1964 Alaskan earthquake and 19 small earthquakes in Bear Valley, California.
Quantitative imaging of nonlinear shear modulus by combining static elastography and shear wave elastography (2012)

The study of new tissue mechanical properties such as shear nonlinearity could lead to better tissue characterization and clinical diagnosis. This work proposes a method combining static elastography and shear wave elastography to derive the nonlinear shear modulus by applying the acoustoelasticity theory in quasi-incompressible soft solids. Results demonstrate that by applying a moderate static stress at the surface of the investigated medium, and by following the quantitative evolution of its shear modulus, it is possible to accurately and quantitatively recover the local Landau (A) coefficient characterizing the shear nonlinearity of soft tissues.
Creating Advanced Multifunctional Biosensors with Surface Enzymatic Transformations (2006)

This paper summarizes our recent work on the coupling of surface enzyme chemistry and bioaffinity interactions on biopolymer microarrays for the creation of multiplexed biosensors with enhanced selectivity and sensitivity. The surface sensitive techniques of surface plasmon resonance imaging (SPRI) and surface plasmon fluorescence spectroscopy (SPFS) are used to detect the surface enzymatic transformations in real time. Three specific examples of novel coupled surface bioaffinity/surface enzymatic processes are demonstrated: (i) a surface enzymatic amplification method utilizing the enzyme ribonuclease H (RNase H) in conjunction with RNA microarrays that permits the ultrasensitive direct detection of genomic DNA at a concentration of 1 fM without labeling or PCR amplification, (ii) the use of RNA-DNA ligation chemistry to create renewable RNA microarrays from single stranded DNA microarrays, and (iii) the application of T7 RNA polymerase for the on-chip replication of RNA from double stranded DNA microarray elements. In addition, a simple yet powerful theoretical framework that includes the contributions of both enzyme adsorption and surface enzyme kinetics is used to quantitate surface enzyme reactivity. This model is successfully applied to SPRI and SPFS measurements of surface hydrolysis reactions of RNase H and Exonuclease III (Exo III) on oligonucleotide microarrays.
IL-6 promotes the differentiation of a subset of naive CD8+ T cells into IL-21–producing B helper CD8+ T cells (2016)

IL-6 is known to contribute to the differentiation of CD4<sup>+</sup> T cells into different subsets of effector T helper cells. Less is known about the potential of IL-6 in regulating CD8<sup>+</sup> T cell effector function. Here, we identify IL-6 as a master regulator of IL-21 in effector CD8<sup>+</sup> T cells. IL-6 promotes the differentiation of a subset of naive CD8<sup>+</sup> T cells that express IL-6R into a unique population of effector CD8<sup>+</sup> T cells characterized by the production of high levels of IL-21 and low levels of IFN-γ. Similar to CD4<sup>+</sup> T follicular helper (Tfh) cells, IL-21-producing CD8<sup>+</sup> T cells generated in the presence of IL-6 directly provide help to B cells to induce isotype switching. CD8<sup>+</sup> T cell-derived IL-21 contributes to the production of protective virus-specific IgG antibodies during influenza virus infection. Thus, this study reveals the presence of a new mechanism by which IL-6 regulates antibody production during viral infection, and a novel function of effector CD8<sup>+</sup> T cells in the protection against viruses.
Detection of clinically manifest and silent synovitis in the hands and wrists by fluorescence optical imaging (2015)

The high degree of agreement between MSUS and FOI suggest its use in clinical practice, especially when MSUS is not available, in order to identify synovitis earlier and with greater confidence. FOI may be particularly useful in identifying patients with clinically non-apparent joint inflammation of the hands and/or wrists.
Synthesis of novel NBD-GM1 and NBD-GM2 for the transfer activity of GM2-activator protein by a FRET-based assay system (2005)

The ganglioside-activator protein is an essential cofactor for the lysosomal degradation of ganglioside GM2 (GM2) by beta-hexosaminidase A. It mediates the interaction between the water-soluble exohydrolase and its membrane-embedded glycolipid substrate at the lipid-water interphase. Mutations in the gene encoding this glycoprotein result in a fatal neurological storage disorder, the AB variant of GM2-gangliosidosis. In order to efficiently and sensitively probe the glycolipid binding and membrane activity of this cofactor, we synthesized two new fluorescent glycosphingolipid (GSL) probes, 2-NBD-GM1 and 2-NBD-GM2. Both compounds were synthesized in a convergent and multistep synthesis starting from the respective gangliosides isolated from natural sources. The added functionality of 2-aminogangliosides allowed us to introduce the chromophore into the region between the polar head group and the hydrophobic anchor of the lipid. Both fluorescent glycolipids exhibited an extremely low off-rate in model membranes and displayed very efficient resonance energy transfer to rhodamine-dioleoyl phosphoglycerol ethanolamine (rhodamine-PE) as acceptor. The binding to GM2-activator protein (GM2AP) and the degrading enzyme was shown to be unaltered compared to their natural analogues. A novel fluorescence-resonance energy transfer (FRET) assay was developed to monitor in real time the protein-mediated intervesicular transfer of these lipids from donor to acceptor liposomes. The data obtained indicate that this rapid and robust system presented here should serve as a valuable tool to probe quantitatively and comprehensively the membrane activity of GM2AP and other sphingolipid activator proteins and facilitate further structure-function studies aimed at delineating independently the lipid- and the enzyme-binding mode of these essential cofactors.
Effects of Konjac Glucomannan on Putative Risk Factors for Colon Carcinogenesis in Rats Fed a High-Fat Diet (2011)

The aim of this study was to determine effects of konjac glucomannan (KGM) in a high fat corn oil diet on risk factors of colon carcinogenesis, that is, fecal β-glucuronidase, mucinase, and bile acids, and on preventive factors, that is, fecal microflora and cecal short-chain fatty acids (SCFAs). Sprague-Dawley rats (n = 8 animals per group) were fed a normal-fat fiber-free (5% corn oil, w/w) or high-fat (25% corn oil, w/w) diet containing no fiber, KGM (5%, w/w), or inulin (5%, w/w, as a prebiotic control) for 4 weeks. Results indicated that the high-fat fiber-free diet significantly elevated the fecal β-glucuronidase and mucinase activities and total bile acid concentration and decreased cecal SCFA contents, as compared with its normal-fat counterpart. The incorporation of KGM, as well as inulin, into the high-fat fiber-free diet beneficially reduced the fecal β-glucuronidase and mucinase activities and lithocholic acid (secondary bile acid) concentration. Although KGM elevated the daily fecal total bile acid excretion, the change was due to the primary, instead of the secondary, bile acids. In addition, KGM beneficially promoted the daily fecal excretion of bifidobacteria and lactobacilli and cecal SCFA contents, as compared with the high-fat fiber-free diet. Therefore, the present study suggests that KGM potentially attenuated the high fat-induced risk in colon carcinogenesis.
Effect of High Molecular Mobility of Poly(vinyl alcohol) on Protein Stability of Lyophilized γ-Globulin Formulations (1998)

The protein stability of lyophilized serum gamma-globulin (BGG) formulations containing poly(vinyl alcohol) (PVA) and dextran was studied in relation to the molecular mobility as determined by proton NMR. The critical temperature, Tmc, at which the Lorentzian relaxation process due to liquid polymer protons appears in these lyophilized formulations was lower than the glass transition temperature, Tg. Above Tmc, protein aggregation in the formulations was related to the Tmc according to the Williams-Landel-Ferry equation by replacing Tg with Tmc. Protein aggregation appears to occur substantially in a "rubbery-like" state even below Tg, if the formulations become microscopically liquidized above Tmc. Lyophilized BGG formulations containing PVA with a lower water content were less stable than those containing dextran with a higher water content. The difference in stability can be explained by the difference in the Tmc of these formulations. Tmc that is determined by NMR relaxation measurement appears to be a useful parameter for the characterization of protein formulations, for which the Tg cannot generally be determined by standard calorimetric techniques. Furthermore, Tmc appears to be more closely related to protein stability than does Tg.
Heterocyclic syntheses based on the reactions of dimethyl acetylenedicarboxylate with the 2-amino-5-chlorobenzophenone oximes (1974)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTHeterocyclic syntheses based on the reactions of dimethyl acetylenedicarboxylate with the 2-amino-5-chlorobenzophenone oximesJackson B. Hester Jr.Cite this: J. Org. Chem. 1974, 39, 15, 2137–2142Publication Date (Print):July 1, 1974Publication History Published online1 May 2002Published inissue 1 July 1974https://pubs.acs.org/doi/10.1021/jo00929a001https://doi.org/10.1021/jo00929a001research-articleACS PublicationsRequest reuse permissionsArticle Views124Altmetric-Citations10LEARN 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 Get e-Alerts