gebhart/patrepeval huggingface dataset:
Antibodies to flagellin indicate reactivity to bacterial antigens in IBS patients (2008)

One of the several possible causes of irritable bowel syndrome (IBS) is thought to be low-grade mucosal inflammation. Flagellin, the primary structural component of bacterial flagellae, was shown in inflammatory bowel disease patients to activate the innate and adaptive immunity. It has not yet been conclusively established if IBS patients show reactivity to luminal antigens. In 266 patients [112 IBS, 61 Crohn's disease (CD), 50 ulcerative colitis (UC) and 43 healthy controls (HC)], we measured antibodies to flagellin (FAB, types A4-Fla2 and Fla-X), anti-Saccharomyces cerevisiae antibodies (ASCA) (both ELISA), antipancreas antibodies (PAB) and perinuclear antineutrophil cytoplasmatic antibodies (p-ANCA) (both IF). All IBS patients had normal fecal calprotectin (mean 21 microg mL(-1), SD 6.6) and fulfilled the ROME II criteria. Frequencies of antibodies in patients with IBS, CD, UC and HC, respectively, are as follows (in per cent): antibodies against A4-Fla2: 29/48/8/7; antibodies against Fla-X: 26/52/10/7; ASCA: 6/59/0/2; p-ANCA: 0/10/52/0; and PAB: 0/28/0/0. Antibodies against A4-Fla2 and Fla-X were significantly more frequent in IBS patients than in HC (P = 0.004 and P = 0.009). Antibodies to A4-Fla2 and Fla-X were significantly more frequent in IBS patients with antecedent gastroenteritis compared to non-postinfectious IBS patients (P = 0.002 and P = 0.012). In contrast to ASCA, PAB and p-ANCA, antibodies against A4-Fla2 and Fla-X were found significantly more often in IBS patients, particularly in those with postinfectious IBS, compared to HC. This observation supports the concept that immune reactivity to luminal antigens has a putative role in the development of IBS, at least in a subset of patients.
Formation of merodiploids in matings with a class of Rec- recipient strains of Escherichia coli K12. (1968)

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Wideband Array Processing Using A Partitioned Spectral Matrix (1996)

Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996
Dendritic Cells and Scavenger Macrophages in Pancreatic Islets of Prediabetic BB Rats (1989)

Insulin-dependent diabetes mellitus (IDDM) is an autoimmune disease whose notorious pathologic feature is insulitis accompanied by destruction of beta-cells. In this morphological study, we examined the pancreatic events during the onset of diabetes in spontaneously diabetic BB/Organon rats. Dendritic cells were the first cells to accumulate around the islets, followed by lymphocytes. Scavenger macrophages and MHC class II-positive beta-cells were only seen late in the disease. These observations suggest a role for antigen-presenting dendritic cells in the onset of the beta-cell-specific autoimmune reaction and emphasize the necessity to distinguish between the several monocyte-macrophage subtypes in studies on the pathogenesis of IDDM.
More Than Just Another Piece of Pretty Portraiture: A Note on the Relief of the Gessii (2003)

Nouvelle lecture du relief de la famille Gessius (Musée des Beaux-Arts de Boston, fond Archibald Cary Coolidge 37.100). Sur cette stèle, la position prééminente, c’est-à-dire les premiers nom et portrait que l’on voit lorsque le relief est lu de gauche à droite, est occupée par une femme. Plus encore, cette femme serait une d’affranchie. Cette place prééminente d’une affranchie sur une stèle éclairent les facteurs qui influençaient l’ordre des noms sur les épitaphes romaines, alors que les autres membres de la maisonnée auraient pu avoir un statut social plus élevé.
Story Generation After TALE-SPIN. (1981)

TALE-SPIN, the laat major AI attempt at atory generation, approached the problem of making up atoriea primarily from the perspective of an impartial world simulator. AUTHOR ia a program (under development) which generates atoriea as a creative reaaoner in purauit of her own narrative goals. It is thus intended to aimulate an author&apos;s mind aa ahe makes up a story, rather than the world as things happen in it. The four major forces driving the atory generation process, according to the AUTHOR model, are (1) author intentionality, (2) conceptual reformulation, (3) reminding, and (4) the opportunity enhancement metagoal. 1. World Simulation Based Story Generation TALE-SPIN [Meehan, 1976] is a program which made up Aesop-fable-like conceptual atoriea, which it then expressed in natural language. Each atory TALE-SPIN made up waa based on a model of the storyworld, including the characters in it and their goala, peraonalities, and interperaonal relatione. Storiea were apun by working out consequences of the model. Thus, central to TALE-SPIN waa the idea of world simulation. The three levels TALE-SPIN was most concerned with simulating were: 1. character intentionality- e.g., if Joe Bear was hungry, he would try to get something to eat 2. social conatrainta- e.g., if Joe Bear believed Irving Bird to be hia friend, he could aak an outright favor; if Joe Bear believed their relation to be a bit cooler, he would feel obliged to offer something in return (auch aa a worm) 3. phyaical cauaality- e.g., if Irving Bird ate a worm, the worm would cease to exist; after &amp;quot;fooling around&amp;quot;, Aa oppoaed to Sheldon Klein&apos;s ayetem which only produced atory texts and which ia incapable, in principle, of understanding the atoriea it &amp;quot;makes up &amp;quot; [Klein et el., 1976].
Modulating Noncovalent Cross-links with Molecular Switches (2019)

Spiropyran molecular switches, in conjunction with transition metal ions, are shown to operate as reversible polymer cross-linkers. Solutions containing a spiropyran-functionalized polymer and transition metal ions underwent reversible thermally triggered (light-triggered) transient network formation (disruption) driven by the association (dissociation) of metal-ligand cross-links. Heat triggers metal-ion-mediated cross-linking via thermal isomerization of spiropyran to its open, merocyanine form, and exposure to visible light triggers dissociation of polymer cross-links. Cross-linking is found to depend on both the valence of the ion as well as the molar ratio of spiropyran to metal salt. We envision this to be a starting point for the design of many types of reversible, stimuli-responsive polymers, utilizing the fact that spiropyrans have been shown to respond to a variety of stimuli including heat, light, pH, and mechanical force.
Multiplexed Fluorescence Imaging of Tumor Biomarkers in Gene Expression and Protein Levels for Personalized and Predictive Medicine (2009)

Combining groundbreaking research and developments in cancer biomarkers, nanotechnology and molecular targeted medicine, a new realm of therapy is possible: personalized and predictive medicine. Developing a method to detect the overexpression of several tumor marker genes simultaneously, knowing that a single cell generally expresses more than one altered gene, should have a high predictive value for identifying cancer cells amidst the normal cellular background. Theoretically, a cancer's unique molecular profile can be used to predict its invasive and metastatic potential, its ability to evade immune surveillance, and its potential response to treatment. Fluorescent probes have been developed to detect the levels of expression of various biomarkers in tumor cells and tissues. Expression of biomarker messenger RNAs (mRNAs) or the presence of a specific mutation in an oncogene in cancer cells can be detected using molecular beacons (MBs) that only emit fluorescent signals after binding to its specific target mRNAs. Antibodies or ligands labeled with fluorophores or fluorescent quantum dots (QDs) have been successfully used to identify specific proteins expressed in cells. Furthermore, multiplex imaging using both MBs and antibodies labeled with a fluorescent probe on the same sample may provide important information correlating the level of mRNA expression and the subsequent level of protein production for a given biomarker. This technology will be useful in research investigating cancer biology, molecular imaging and molecular profiling. With the identification of biomarkers that are related to aggressive tumor types, we may be able to predict within certain patient populations who will develop invasive cancers, and what their prognosis will be given different treatment modalities, ultimately delivering medical care and treatment strategies that are specifically tailored to each individual patient, making personalized and predictive medicine a reality.
Antimicrobial activity of propolis against Streptococcus mutans (2010)

The ethanol extract of propolis (EEP) obtained from beehives of honeybee (Apis mellifera) was investigated for its antimicrobial activities against Streptococcus mutans isolated from dental caries. Agar well diffusion and minimum inhibitory concentration (MIC) determinations were the methods used in this study. The carious tooth was swabbed with a sterile cotton wool and immediately streaked on tryptic soy agar, incubated at 37°C for 48 - 72 h. S. mutans was characterized by standard cultural, morphological and biochemical methods. Several dilutions of EEP were made (0.5 - 32 µg/ml), while water and ethanol were used as controls. The EEP at concentrations of 4, 8, 16 and 32 µg/ml showed strong antimicrobial activity against S. mutans with inhibition zones of 10 ± 4, 12 ± 4, 20 ± 2 and 24 ± 2 mm, respectively. There were medium to maximum growth of S. mutans in the controls of ethanol and water. The results demonstrate that the ethanol extract of propolis has a strong antimicrobial activity and suggest that it may be useful in the treatment of dental caries caused majorly by S. mutans.
Rough Sets and Rough Logic: A KDD Perspective (2000)

Basic ideas of rough set theory were proposed by Zdzislaw Pawlak [90, 91] in the early 1980’s. In the ensuing years, we have witnessed a systematic, world-wide growth of interest in rough sets and their applications. There are numerous areas of successful applications of rough set software systems [101]. Many interesting case studies are reported (for references see e.g., [100, 101], [87] and the bibliography in these books, in particular [19], [46], [57], [132], [1461).The main goal of rough set analysis is induction of approximations of concepts. This main goal is motivated by the basic fact, constituting also the main problem of KDD, that languages we may choose for knowledge description are incomplete with respect to expressibility. A fortiori, we have to describe concepts of interest (features, properties, relations etc.) known not completely but by means of their reflections (i.e., approximations) in the chosen language. The most important issues in this induction process are: construction of relevant primitive concepts from which approximations of more complex concepts are assembled, measures of inclusion and similarity (closeness) on concepts, construction of operations producing complex concepts from the primitive ones. Basic tools of rough set approach are related to concept approximations. They are defined by approximation spaces. For many applications, in particular for KDD problems, it is necessary to search for relevant approximation spaces in the large space of parameterized approximation spaces. Strategies for tuning parameters of approximation spaces are crucial for inducing concept approximations of high quality.Methods proposed in rough set approach are kin to general methods used to solve Knowledge Discovery and Data Mining (KDD) problems like feature selection, feature extraction (e.g., discretization or grouping of symbolic value), data reduction, decision rule generation, pattern extraction (templates, association rules), or decomposition of large data tables. In this Chapter we examine rough set contributions to Knowledge Discovery from the perspective of KDD as a whole.This Chapter shows how several aspects of the above problems are solved by the classical rough set approach and how they are approached by some recent extensions to the classical theory of rough sets. We point out the role of Boolean reasoning in solving discussed problems. Rough sets induce via its methods a specific logic, which we call rough logic. We also discuss rough logic and related logics from a wider perspective of logical approach in KDD. We show some relationships between these logics and potential directions for further research on rough logic.
Calophycin, a fungicidal cyclic decapeptide from the terrestrial blue-green alga Calothrix fusca (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCalophycin, a fungicidal cyclic decapeptide from the terrestrial blue-green alga Calothrix fuscaSurk Sik Moon, Jian Lu Chen, Richard E. Moore, and Gregory M. L. PattersonCite this: J. Org. Chem. 1992, 57, 4, 1097–1103Publication Date (Print):February 1, 1992Publication History Published online1 May 2002Published inissue 1 February 1992https://pubs.acs.org/doi/10.1021/jo00030a013https://doi.org/10.1021/jo00030a013research-articleACS PublicationsRequest reuse permissionsArticle Views419Altmetric-Citations74LEARN 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
Analysis of Pressure Tests Through the Use of Instantaneous Source Response Concepts (1986)

ABSTRACT A general method of analysis for pressure transient tests is presented. This technique is based on the pressure response of an instantaneous source and it provides a mean to compute the first and second derivatives of the influence function (unit flow rate response) of the well-reservoir system. This information is basic in identifying the flow regimes occurring during the test. This method eliminates the effect of producing time on pressure buildup data. An explicit and stable procedure is discussed to compute both the derivatives of the influence function and the initial reservoir pressure. This technique is suitable for DST and Repeat Formation Tests as well as for pressure buildup and fall off tests with long shut in period; variable flow rate before shut in can be taken into account. Examples of application are presented.
The Common Ovine Shiga Toxin 2-Containing <i>Escherichia coli</i> Serotypes and Human Isolates of the Same Serotypes Possess a Stx2d Toxin Type (2001)

Shiga toxin 2 (Stx2) has been reported as the main Shiga toxin associated with human disease. In addition, the Stx2 toxin type can have a profound impact on the degree of tissue damage in animal models. We have characterized the stx(2) subtype of 168 Shiga toxin-producing Escherichia coli (STEC) isolates of which 146 were derived from ovine sources (principally feces and meat) and 22 were isolated from humans. The ovine STEC isolates were of serotypes that have been shown to occur commonly in the gastrointestinal tract of healthy sheep. The major stx(2) subtype in the ovine isolates was shown to be stx(2d-Ount) (119 of 146 [81.5%]) and was predominantly associated with serotypes O75:H(-)/H8/H40, O91:H(-), O123:H(-), O128:H2, and OR:H2. However, 17 of 18 (94.4%) ovine isolates of serotype O5:H(-) possessed a stx(2d-O111/OX3a) subtype. Furthermore, STEC isolates of serotypes commonly found in sheep and recovered from both clinical and nonclinical human infections also contained a stx(2d) (stx(2d-Ount/O111/OX3a)) subtype. These studies suggest that a specific stx(2) subtype(s) associates with serotype and may have important epidemiological implications for tracing sources of E. coli during outbreaks of STEC-associated diseases in humans.
Long-acting injectable risperidone: safety and efficacy in stable patients switched from conventional depot antipsychotics (2004)

Long-acting injectable risperidone was assessed in schizophrenia patients who were symptomatically stable on conventional depot antipsychotics and who were then switched to long-acting risperidone. Participants in this open-label, multicentre, 12-week trial had received flupenthixol decanoate, fluphenazine decanoate, haloperidol decanoate, or zuclopenthixol decanoate for 4 months or longer. Each was considered symptomatically stable by investigators. After receiving two cycles of their conventional depot antipsychotic during the run-in period, patients were switched to receive long-acting risperidone every 2 weeks for 12 weeks at an initial dose of 25 mg. This dose could be increased in 12.5-mg increments at 4-week intervals. Ninety-two percent of the patients received all six injections; 62% received the 25-mg dose throughout the treatment period. Adverse events related to movement disorders were reported in 3%. Severity of movement disorders decreased during long-acting risperidone treatment. Positive and Negative Syndrome Scale (PANSS) total and factor scores and scores on the Clinical Global Impressions severity scale were significantly reduced during treatment; 48% of these stable patients showed further symptom improvement (> or =20% decrease in PANSS score at endpoint). The results indicate that patients with schizophrenia who are symptomatically stable during treatment with a conventional depot antipsychotic can be safely and effectively switched to long-acting injectable risperidone without a prior transition to oral risperidone.
Magic Cards: A New Augmented-Reality Approach (2012)

Augmented reality (AR) commonly uses markers for detection and tracking. Such multimedia applications associate each marker with a virtual 3D model stored in the memory of the camera-equipped device running the application. Application users are limited in their interactions, which require knowing how to design and program 3D objects. This generally prevents them from developing their own entertainment AR applications. The Magic Cards application solves this problem by offering an easy way to create and manage an unlimited number of virtual objects that are encoded on special markers.
Wave particles (2007)

We present a new method for the real-time simulation of fluid surface waves and their interactions with floating objects. The method is based on the new concept of wave particles, which offers a simple, fast, and unconditionally stable approach to wave simulation. We show how graphics hardware can be used to convert wave particles to a height field surface, which is warped horizontally to account for local wave-induced flow. The method is appropriate for most fluid simulation situations that do not involve significant global flow. It is demonstrated to work well in constrained areas, including wave reflections off of boundaries, and in unconstrained areas, such as an ocean surface. Interactions with floating objects are easily integrated by including wave forces on the objects and wave generation due to object motion. Theoretical foundations and implementation details are provided, and experiments demonstrate that we achieve plausible realism. Timing studies show that the method is scalable to allow simulation of wave interaction with several hundreds of objects at real-time rates.
Aqueous-Phase Polymerization of Butadiene Initated by Cobalt (III) Acetylacetonate (1976)

A description is given of the main features of the aqueous-phase polymerisation of butadiene initiated by cobalt(III) acetylacetonate in the presence of surfactants such as sodium dodecyl-benzenesulphonate and sodium dodecyl sulphate. It is shown that the polymerisation rate increases as the amount of oxygen in the system decreases, and that, if oxygen is present, the rate depends upon the length of time for which the reaction system has been stored. The rate of polymerisation is directly proportional to the quantity of aqueous phase. Initial pH has a profound effect upon the reaction rate. The dependences of rate upon the concentrations of initiator and surfactant are complex. Results are presented for the decomposition of cobalt(III) acetylacetonate in aqueous solution in the presence and absence of surfactant, and also for the partitioning of the initiator between hydrocarbon and aqueous phases and its solubility in various aqueous phases. The information obtained from these ancillary investigations has consdierably enhanced understanding of some of the features of the polymerisation reaction.
Activation of CPP32 during apoptosis of neurons and astrocytes (1997)

Members of the interleukin-1 beta-converting enzyme (ICE)/CED-3 protease family have been implicated in apoptosis in both vertebrates and invertebrates. Using primary culture methods, we report that neurons and astrocytes require the activity of the ICE/CED-3 family of proteases to undergo apoptosis induced by staurosporine, ceramide, and serum-free media. We show that specific inhibitors of ICE/CED-3 proteases can inhibit apoptosis and that cytosolic fractions from apoptosing neurons, but not healthy cells, induced apoptosis in a cell-free system. Cell extracts from neurons induced to undergo apoptosis contained ICE/ CED-3 protease activity. To determine which member of the ICE/CED-3 family was activated in neurons and astrocytes during apoptosis, we developed a novel affinity-labeling technique that labeled the active site cysteine and identified a 17-kDa subunit of the activated protease. The affinity-labeled 17-kDa protease subunit shares antigenic and molecular mass identity with the processed form of CPP32 on immunoblots, suggesting that CPP32 may be the principal effector in the apoptotic pathway in neurons and astrocytes. In time-course experiments, the activation of CPP32 preceded the detection of PARP cleavage and DNA laddering, suggesting that processing of CPP32 is a very early event in apoptosis of neurons and astrocytes and may be involved in the proteolytic action on specific cellular targets. The affinity-labeling technique developed and used in this report with neural cells allows for the sensitive detection, purification, and identification of ICE/CED-3 proteases that may be activated in other cells types under a variety of conditions, including certain diseased states.