gebhart/patrepeval huggingface dataset:
Ab initio calculations on N-methylmethanesulfonamide and methyl methanesulfonate for the development of force field torsional parameters and their use in the conformational analysis of some novel estrogens (1990)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAb initio calculations on N-methylmethanesulfonamide and methyl methanesulfonate for the development of force field torsional parameters and their use in the conformational analysis of some novel estrogensRajeshwar D. Bindal, Joseph T. Golab, and John A. KatzenellenbogenCite this: J. Am. Chem. Soc. 1990, 112, 22, 7861–7868Publication Date (Print):October 1, 1990Publication History Published online1 May 2002Published inissue 1 October 1990https://pubs.acs.org/doi/10.1021/ja00178a003https://doi.org/10.1021/ja00178a003research-articleACS PublicationsRequest reuse permissionsArticle Views350Altmetric-Citations63LEARN 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
Depressão em grávidas hipertensas: preocupações maternas durante a gestação (2008)

Pregnancy constitutes the true development phase of a woman’s personality, and is characterized by certain transformations. This study aims to verify the incidence of depressive disorders during pregnancy associated with high blood pressure, and to correlate such incidence with maternal concerns related to pregnancy. Interviews with 20 expectant, high blood pressure mothers were first carried out, and the Prime – MD was applied. The conclusion was that pregnancy associated with high blood pressure causes tangible fear in the expecting mother relating to herself as well as to her baby; it generates concerns relating to the childbirth itself, to possible birth defects in the baby, and to risks during pregnancy. This consequently imposes an increase in the level of stress, and predisposes the pregnant mother to the onset of depressive disorders.
THE PROSTAGLANDIN E1 (PGE1) ANALOG MISOPROSTOL AMELIORATES AUTOIMMUNE DISEASE AND DEPLETES T LYMPHOCYTES IN MRL-lpr/lpr MICE (1995)

MRL-lpr/lpr mice spontaneously develop an autoimmune disease similar to human systemic lupus erythematosus (SLE). Disease manifestations include anti-DNA autoantibody production, arthritis, vasculitis, and an immune-complex glomerulonephritis. The development of autoimmune disease is associated with massive, generalized lymphadenopathy caused by accumulation of an abnormal T-cell population in peripheral lymphoid organs. In MRL-lpr/lpr mice, treatment with E-series prostaglandins ameliorates renal disease and reduces peripheral lymphadenopathy. Little is known about mechanisms of action of E-series prostaglandins in murine lupus or the effects of these agents on other clinically important manifestations of SLE, such as arthritis and vasculitis. To further investigate the effects of an E-series prostaglandin in murine SLE, we administered the prostaglandin, E(1) (PGE(1)) analog misoprostol (1 mg kg(minus sign1) day(minus sign1)) to MRL-lpr/lpr mice for 8 weeks by twice daily subcutaneous injection. At 20 weeks of age, treatment with misoprostol reduced the severity of renal disease and arthritis but did not affect the extent or severity of vasculitis. The beneficial effects of misoprostol on arthritis and renal disease were associated with a significant decrease in splenic and lymph node weight in mice given the PGE(1) analog. This decrease in lymphoproliferation resulted primarily from a generalized reduction in the number of T cells in peripheral lymphoid organs. Thus, T-cell depletion was associated with beneficial effects on arthritis and nephritis in MRL-lpr/lpr mice, supporting a role for T lymphocytes in these disease processes. The ability of E-series prostaglandins to favorably modify autoimmune disease in this murine model suggests that misoprostol may be a useful adjunct to current therapies for the treatment of patients with SLE.
Photoluminescence from disorder induced states in individual single‐walled carbon nanotubes (2009)

Abstract We report on the generation of new low‐energy photoluminescence (PL) bands in the spectra of semiconducting single‐walled carbon nanotubes (SWNTs). The new bands, that are brightened because of local modifications of the nanotube structure or the metal adsorption on the SWNT surface, are attributed to PL from different nominally dark excitons that are “brightened” due to defect‐induced mixing of states with different parity and/or spin. The effect of the created structural disorder on the dynamical properties of the emission is studied by time‐resolved PL measurements revealing a significant reduction of the bright exciton lifetime. The lowest energy dark state has a longer lifetime and is not in thermal equilibrium with the bright state.
The METC prototype lockhopper valve testing and development program review (1983)

Telomerase extends telomere sequences at chromosomal ends to protect genomic DNA. During this process it must select the correct nucleotide from a pool of nucleotides with various sugars and base pairing properties, which is critically important for the proper capping of telomeric sequences by shelterin. Unfortunately, how telomerase selects correct nucleotides is unknown. Here, we determined structures of <i>Tribolium castaneum</i> telomerase reverse transcriptase (TERT) throughout its catalytic cycle and mapped the active site residues responsible for nucleoside selection, metal coordination, triphosphate binding, and RNA template stabilization. We found that TERT inserts a mismatch or ribonucleotide ~1 in 10,000 and ~1 in 14,000 insertion events, respectively. At biological ribonucleotide concentrations, these rates translate to ~40 ribonucleotides inserted per 10 kilobases. Human telomerase assays determined a conserved tyrosine steric gate regulates ribonucleotide insertion into telomeres. Cumulatively, our work provides insight into how telomerase selects the proper nucleotide to maintain telomere integrity.
[A case report of stage IV inoperable gastric cancer demonstrating a cCR treated with S-1/Paclitaxe (l PTX) therapy]. (2011)

We report a case of Stage IV inoperable gastric cancer demonstrating a cCR treated with S-1/PTX. The patient was a 65-year-old female with advanced gastric cancer. CT scan suggested an invasion of tumor into a pancreatic body, jejunum and transverse colon. Staging laparoscopy showed it to be positive with peritoneal washing cytology and peritoneal dissemination. The surgical findings were T4a (SE) N2M1H0P1CY1, Stage IV. Chemotherapy was conducted with a combination of S-1/CDDP. After 2 courses of this regimen, the endoscopy findings did not show an improvement, so we decided to change the chemotherapy to S-1/PTX as second-line treatment. After 2 courses of this regimen, the endoscopy findings revealed a reduction of the primary tumor. After 19 courses, histopathological examination of biopsy specimen showed Group 1. Second-line chemotherapy was continued for 28 courses. The patient has had no recurrence without chemotherapy and been alive for 91 months after diagnosis.
Multichannel Loss Function for Supervised Speech Source Separation by Mask-based Beamforming (2019)

In this paper, we propose two mask-based beamforming methods using a deep neural network (DNN) trained by multichannel loss functions. Beamforming technique using time-frequency (TF)-masks estimated by a DNN have been applied to many applications where TF-masks are used for estimating spatial covariance matrices. To train a DNN for mask-based beamforming, loss functions designed for monaural speech enhancement/separation have been employed. Although such a training criterion is simple, it does not directly correspond to the performance of mask-based beamforming. To overcome this problem, we use multichannel loss functions which evaluate the estimated spatial covariance matrices based on the multichannel Itakura--Saito divergence. DNNs trained by the multichannel loss functions can be applied to construct several beamformers. Experimental results confirmed their effectiveness and robustness to microphone configurations.
[Longevity as a developmental process: life history and individual perspectives]. (1997)

Longevity research often portrays the image that single characteristics of the past life explain best why some people survive into the second century of their lives, and others not. This paper challenges this approach by arguing that longevity should be seen as a life-long development process that still continues in the present lives of the oldest old. Four specific themes are addressed: First, individual differences can increase or decrease with age, depending on the domain studied. Second, historical events have shaped the individual biography of the oldest old and still have a profound impact on the personality and mental health of this age group. Third, individual events such as the loss of family members and friends are powerful recent experiences that challenge the oldest old to adapt to these recent changes in their lives. Finally, the oldest old seem to have unique time perspectives, realizing that remaining life expectancy is short and that time itself may not be of much importance to their current lives.
Microbubble Expansion in a Flexible Tube (2006)

We have utilized a computational model of the expansion of a microbubble in a liquid-filled flexible tube to investigate the potential for acoustic vaporization of perfluorocarbon droplets to damage blood vessels during a novel gas embolotherapy technique for the potential treatment of tumors. This model uses a fixed grid, multi-domain, interface tracking, direct numerical simulation method that treats all interfaces and boundaries as sharp discontinuities for high accuracy. In the current work, we examined effects of initial bubble size on the flows and wall stresses that result from droplet vaporization. The remaining dimensionless parameters that govern the system response (Reynolds, Weber, and Strouhal numbers, initial bubble pressure, and wall stiffness and tension) were selected to model an arteriole. The results for a flexible tube are significantly different from those for a rigid tube. Two major flow regimes occur due to the combined effect of bubble and tube deformation: in flow at the tube ends and out flow near the bubble surface. The flexibility of the tube largely dissipates the extreme pressure that develops in the rigid tube model. Both the magnitude and the overall expansion time of the rapidly changing pressure are greatly reduced in the flexible tube. Smaller initial bubble diameters, relative to the vessel diameter, result in lower wall stresses. This study indicates that wall flexibility can significantly influence the wall stresses that result from acoustic vaporization of intravascular perfluorocarbon droplets, and suggests that acoustic activation of droplets in larger, more flexible vessels may be less likely to damage or rupture vessels than activation in smaller and stiffer vessels.
Microscopic Theory of Thermal Phase Slips in Clean Narrow Superconducting Wires (2007)

We consider the structure of a thermal phase-slip center for a simple microscopic model of a clean one-dimensional superconductor in which superconductivity occurs only within one conducting channel or several identical channels. Surprisingly, the Eilenberger equations describing the saddle-point configuration allow for an exact analytical solution in the whole temperature and current range. This solution allows us to derive a closed expression for the free-energy barrier, which we use to compute its temperature and current dependences.
The site-specific cleavage of synthetic Holliday junction analogs and related branched DNA structures by bacteriophage T7 endonuclease I. (1987)

Various branched DNA structures were created from synthetic, partly complementary oligonucleotides combined under annealing conditions. Appropriate mixtures of oligonucleotides generated three specific branched duplex DNA molecules: (i) a Holliday junction analog having a fixed (immobile) crossover bounded by four duplex DNA branches, (ii) a similar Holliday junction analog which is capable of limited branch migration and, (iii) a Y-junction, with three duplex branches and fixed branch point. Each of these novel structures was specifically cleaved by bacteriophage T7 gene 3 product, endonuclease I. The cleavage reaction "resolved" the two Holliday structure analogs into pairs of duplex DNA products half the size of the original molecules. The point of cleavage in the fixed-junction molecules was predominantly one nucleotide removed to the 5' side of the expected crossover position. Multiple cleavage positions were mapped on the Holliday junction with the mobile, or variable, branch point, to sites consistent with the unrestricted movement of the phosphodiester crossover within the region of limited dyad symmetry which characterizes this molecule. Based on the cleavage pattern observed with this latter substrate, the enzyme displayed a modest degree of sequence specificity, preferring a pyrimidine on the 3' side of the cleavage site. Branched molecules that were partial duplexes (lower order complexes which possessed single-stranded as well as duplex DNA branches) were also substrates for the enzyme. In these molecules, the cleaved phosphodiester bonds were in duplex regions only and predominantly one nucleotide to the 5' side of the branch point. The phosphodiester positions 5' of the branch point in single-stranded arms were not cleaved. Under identical reaction conditions, individually treated oligonucleotides were completely refractory. Thus, cleavage by T7 endonuclease I displays great structural specificity with an efficiency that can vary slightly according to the DNA sequence.
High-brightness CEP-stable light source with coverage from 340 nm to 40,000 nm (2022)

A mid-IR OPCPA comb source delivers a high-brightness coherent spectrum with coverage across 7 optical octaves, from the UV (340 nm) into the THz (40,000 nm).
Visual Experience is not Necessary for the Development of Face Selectivity in the Lateral Fusiform Gyrus (2020)

Abstract Here we show robust face-selectivity in the lateral fusiform gyrus of congenitally blind participants during haptic exploration of 3D-printed stimuli, indicating that neither visual experience, nor fovea-biased input, nor visual expertise is necessary for face-selectivity to arise in its characteristic location. Similar resting fMRI correlation fingerprints in individual blind and sighted participants suggest a role for long-range connectivity in the specification of the cortical locus of face-selectivity.
Detecting human coronary inflammation by imaging perivascular fat (2017)

Early detection of vascular inflammation would allow deployment of targeted strategies for the prevention or treatment of multiple disease states. Because vascular inflammation is not detectable with commonly used imaging modalities, we hypothesized that phenotypic changes in perivascular adipose tissue (PVAT) induced by vascular inflammation could be quantified using a new computerized tomography (CT) angiography methodology. We show that inflamed human vessels release cytokines that prevent lipid accumulation in PVAT-derived preadipocytes in vitro, ex vivo, and in vivo. We developed a three-dimensional PVAT analysis method and studied CT images of human adipose tissue explants from 453 patients undergoing cardiac surgery, relating the ex vivo images with in vivo CT scan information on the biology of the explants. We developed an imaging metric, the CT fat attenuation index (FAI), that describes adipocyte lipid content and size. The FAI has excellent sensitivity and specificity for detecting tissue inflammation as assessed by tissue uptake of 18F-fluorodeoxyglucose in positron emission tomography. In a validation cohort of 273 subjects, the FAI gradient around human coronary arteries identified early subclinical coronary artery disease in vivo, as well as detected dynamic changes of PVAT in response to variations of vascular inflammation, and inflamed, vulnerable atherosclerotic plaques during acute coronary syndromes. Our study revealed that human vessels exert paracrine effects on the surrounding PVAT, affecting local intracellular lipid accumulation in preadipocytes, which can be monitored using a CT imaging approach. This methodology can be implemented in clinical practice to noninvasively detect plaque instability in the human coronary vasculature.
Frequency estimation under non-Markovian spatially correlated quantum noise (2022)

Abstract We study the estimation precision attainable by entanglement-enhanced Ramsey interferometry in the presence of spatiotemporally correlated non-classical noise. Our analysis relies on an exact expression of the reduced density matrix of the qubit probes under general zero-mean Gaussian stationary dephasing, which is established through cumulant-expansion techniques and may be of independent interest in the context of non-Markovian open dynamics. By continuing and expanding our previous work (Beaudoin et al 2018 Phys. Rev. A 98 020102(R)), we analyze the effects of a non-collective coupling regime between the qubit probes and their environment, focusing on two limiting scenarios where the couplings may take only two or a continuum of possible values. In the paradigmatic case of spin–boson dephasing noise from a thermal environment, we find that it is in principle possible to suppress, on average , the effect of spatial correlations by randomizing the location of the probes , as long as enough configurations are sampled where noise correlations are negative. As a result, superclassical precision scaling is asymptotically restored for initial entangled states, including experimentally accessible one-axis spin-squeezed states.
Correction: Corrigendum: Substoichiometric inhibition of transthyretin misfolding by immune-targeting sparsely populated misfolding intermediates: a potential diagnostic and therapeutic for TTR amyloidoses (2016)

Scientific Reports 6: Article number: 25080; published online: 28 April 2016; updated: 10 June 2016 The Acknowledgements section in this Article is incomplete: “This study was supported by a grant from the Canadian Institutes of Health Research to A.C and support from Prothena Inc. PW was supported by FAMY, FAMY Norrbotten and Amyl, and Erik, Karin and Gösta Selander’s Foundation.
Total Synthesis of α‐ and β‐Amanitin (2020)

α-Amanitin and related amatoxins have been studied for more than six decades mostly by isolation from death cap mushrooms. The total synthesis, however, remained challenging due to unique structural features. α-Amanitin is a potent inhibitor of RNA polymerase II. Interrupting the basic transcription processes of eukaryotes leads to apoptosis of the cell. This unique mechanism makes the toxin an ideal payload for antibody-drug conjugates (ADCs). Only microgram quantities of toxins, when delivered selectively to tumor sites through conjugation to antibodies, are sufficient to eliminate malignant tumor cells of almost every origin. By solving the stereoselective access to dihydroxyisoleucine, a photochemical synthesis of the tryptathion precursor, solid-phase peptide synthesis, and macrolactamization we obtained a scalable synthetic route towards synthetic α-amanitin. This makes α-amanitin and derivatives now accessible for the development of new ADCs.
Low-Income Shoppers and Fruit and Vegetables (2016)

We surveyed 510 low-income shoppers to learn about their attitudes about organic and conventional fruits and vegetables (FV) and what would happen if we provided them with information about organic and conventional growing practices from a variety of sources. In general, participants preferred organic FV; however, cost was a significant barrier to purchase them. Informational statements about organic and conventional FV did not increase participants' likelihood to purchase more FV. In contrast, messages naming specific FV with pesticides shifted participants toward “less likely” to purchase any type of FV regardless whether organically or conventionally grown. The results provide insight about how low-income people view FV and how communications may influence their purchase intention.
A Simulation System for Energy Harvesting Networked Tags (EnHANTs) (2017)

This project is about EnHANTs networks. These networks have self-sustainable energy devices and the communication is performed over wireless links between neighboring devices. Since the devices are very limited in terms of energy, sending the data in these networks has to be as effective as possible and must take into consideration the available amount of energy. Therefore, it is necessary to use algorithms that are specifically designed for this type of networks. In this book we propose strategies for a specific case of these networks. The main part of this project is a MATLAB simulation built in order to examine the behavior of such networks. In the last section of this book, we describe a set of runs of different topologies, in order to test the influence of certain strategy parameters on the behavior of the system.
CAPD in a Central City Population (1983)

This paper presents the results of a CAPD program, which provides care to an underpriviliged, inner-city population. Serious medical and psychosocial problems did not interfere with training and did not produce an unusually high drop-out rate. However, we encountered a high incidence of infection. The success of such a program demonstrates that traditional criteria for CAPD patient selection are not universally applicable.
Measuring the tendency of CNNs to Learn Surface Statistical Regularities (2017)

Deep CNNs are known to exhibit the following peculiarity: on the one hand they generalize extremely well to a test set, while on the other hand they are extremely sensitive to so-called adversarial perturbations. The extreme sensitivity of high performance CNNs to adversarial examples casts serious doubt that these networks are learning high level abstractions in the dataset. We are concerned with the following question: How can a deep CNN that does not learn any high level semantics of the dataset manage to generalize so well? The goal of this article is to measure the tendency of CNNs to learn surface statistical regularities of the dataset. To this end, we use Fourier filtering to construct datasets which share the exact same high level abstractions but exhibit qualitatively different surface statistical regularities. For the SVHN and CIFAR-10 datasets, we present two Fourier filtered variants: a low frequency variant and a randomly filtered variant. Each of the Fourier filtering schemes is tuned to preserve the recognizability of the objects. Our main finding is that CNNs exhibit a tendency to latch onto the Fourier image statistics of the training dataset, sometimes exhibiting up to a 28% generalization gap across the various test sets. Moreover, we observe that significantly increasing the depth of a network has a very marginal impact on closing the aforementioned generalization gap. Thus we provide quantitative evidence supporting the hypothesis that deep CNNs tend to learn surface statistical regularities in the dataset rather than higher-level abstract concepts.