gebhart/patrepeval huggingface dataset:
Bimetallic reactivity. Synthesis of bimetallic complexes containing a bis(phosphino)pyrazole ligand (1985)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTBimetallic reactivity. Synthesis of bimetallic complexes containing a bis(phosphino)pyrazole ligandTerry G. Schenck, J. M. Downes, C. R. C. Milne, Peter B. Mackenzie, Terry G. Boucher, John Whelan, and B. BosnichCite this: Inorg. Chem. 1985, 24, 15, 2334–2337Publication Date (Print):July 1, 1985Publication History Published online1 May 2002Published inissue 1 July 1985https://pubs.acs.org/doi/10.1021/ic00209a003https://doi.org/10.1021/ic00209a003research-articleACS PublicationsRequest reuse permissionsArticle Views3732Altmetric-Citations182LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
The Economic Limits of Bitcoin and the Blockchain (2018)

The amount of computational power devoted to anonymous, decentralized blockchains such as Bitcoin's must simultaneously satisfy two conditions in equilibrium: (1) a zero-profit condition among miners, who engage in a rent-seeking competition for the prize associated with adding the next block to the chain; and (2) an incentive compatibility condition on the system's vulnerability to a "majority attack", namely that the computational costs of such an attack must exceed the benefits. Together, these two equations imply that (3) the recurring, "flow", payments to miners for running the blockchain must be large relative to the one-off, "stock", benefits of attacking it. This is very expensive! The constraint is softer (i.e., stock versus stock) if both (i) the mining technology used to run the blockchain is both scarce and non-repurposable, and (ii) any majority attack is a "sabotage" in that it causes a collapse in the economic value of the blockchain; however, reliance on non-repurposable technology for security and vulnerability to sabotage each raise their own concerns, and point to specific collapse scenarios. In particular, the model suggests that Bitcoin would be majority attacked if it became sufficiently economically important -e.g., if it became a "store of value" akin to gold -which suggests that there are intrinsic economic limits to how economically important it can become in the first place.
Response network analysis of differential gene expression in human epithelial lung cells during avian influenza infections (2010)

Characteristics of H5N1 infection compared to RSV infection show several immune response factors that are specific for each of these infections. These include faster timescales within the cell as well as a more focused activation of immunity factors. Many of the genes that are found to be significantly expressed in H5N1 response relative to the control experiments are not found to cluster significantly in the Gene Ontology. These genes are, however, often closely linked to the clustered genes through the Human Network. This may suggest the need for more diverse annotations of these genes and verification of their action in immune response.
Dosimetric characterization of a new directional low‐dose rate brachytherapy source (2018)

Primary S<sub>K</sub> measurements of the CivaDot demonstrated good repeatability and reproducibility of the free-air chamber measurements. Measurements of the CivaDot dose distribution using the EBT3 film stack phantom and its subsequent comparison to Monte Carlo-predicted dose distributions were encouraging, given the overall uncertainties. This work will aid in the eventual realization of a clinically viable dosimetric framework for the CivaSheet based on the CivaDot dose distribution.
Longitudinal neuroimaging and neuropsychological profiles of frontotemporal dementia with C9ORF72 expansions (2012)

Disease evolution in C9ORF72-associated FTD is linked neuropsychologically with increasing involvement of parietal and amnestic functions, and neuroanatomically with rather diffuse and variable cortical and central atrophy but more consistent involvement of the cerebellum and thalamus. These longitudinal profiles are consistent with disease spread within a distributed subcortical network and demonstrate the feasibility of longitudinal biomarkers for tracking the evolution of the C9ORF72 mutation phenotype.
Attractive Reactivity of a Natural Product, Zerumbone (2011)

Zerumbone is a cyclic seaquiterpene and, a potential resource for natural materials-related diversity-oriented synthesis (NMRDOS). Zerumbone, the main component of the essential oil of a wild ginger, Zingiber zerumbet Smith, showed strong reactivity with good chemo-, regio-, and stereoselectivity. To build the foundations for the industrial use of zerumbone, we examined conjugate addition, transannular reactions, ring cleavage, ring expansion, and asymmetric induction. The biological activity of zerumbone derivatives was also studied.
Global adaptive output-feedback control of nonlinear systems. II. Nonlinear parameterization (1993)

For pt.I, see ibid., p.17-32 (1993). The problem of designing global output-feedback robust stabilizing controls for a class of single-input single-output minimum-phase uncertain nonlinear systems with known and constant relative degree is addressed. They are assumed to be linear with respect to the input and nonlinear with respect to an unknown constant parameter vector. The nonlinearities depend on the output only. The nonlinearities may be uncertain and are only required to be bounded by known smooth functions. The order of the robust compensator is equal to the relative degree minus one and is static when the relative degree is one. A self-tuning version of the robust control capable of achieving set point regulation is developed in which the control gains are tuned by an output-feedback adaptive algorithm. When the parameter vector enters linearly, the self-tuning regulator does not require the knowledge of parameter bounds and guarantees set point regulation for the same class of systems considered in Part I.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Determination of Glucosinolates in Canola Seeds Using Anion Exchange Membrane Extraction Combined with the High-Pressure Liquid Chromatography Detection (2000)

A rapid, simple, and reliable method for the determination of individual glucosinolates in canola seeds was developed using a semiquantitative extraction of glucosinolates with anion exchange membranes and HPLC detection. In this one-step extraction procedure, a membrane (7 cm(2)) is placed in the seed suspension prepared by grinding and boiling 0.8 g of seeds in 20 mL of water. After 10 min of shaking on the mechanical shaker, the membrane is removed from the suspension, washed, and transferred to a vial containing 5 mL of 1 N tetramethylammonium chloride. The glucosinolates are eluted from the membrane by shaking the membrane for 10 min with the eluting solvent. The glucosinolate content in membrane eluates is determined by HPLC using sinigrin standards. A coefficient of variation ranging from 1.9 to 7.6% for aliphatic glucosinolates indicated very good reproducibility of the method. Because of the instability of 4-hydroxyglucobrassicin, the coefficient of variation for the determination of this indolyl glucosinolate was 13.9%. To verify the results of the membrane extraction/HPLC detection, this new method was compared with the existing colorimetric and GC procedures. Very good correlation (R(2) = 0.98) was obtained between the total glucosinolates determined by the membrane extraction/HPLC method and the palladate colorimetric procedure for 17 canola varieties. Concentrations of individual glucosinolates in five canola varieties were compared with the GC data. Very good agreement between these two methods was obtained for aliphatic glucosinolates. However, the membrane extraction/HPLC method yielded slightly higher values for 4-hydroxyglucobrassicin than the GC method, possibly indicating that the decomposition of this glucosinolate was reduced during the sample extraction with the membranes. The simplicity and low cost of the membrane extraction/HPLC method make it an attractive alternative to the existing procedures for glucosinolate analysis in canola seeds.
Simulation analyses and stress testing of payment networks (2009)

This publication consists of ten separate studies on payment and settlement systems employing simulation techniques. Most of these were carried out using the payment and settlement system simulator BoF-PSS2 provided by the Bank of Finland. The preliminary versions were presented at the annual simulator seminars arranged by the Bank in 2007 and 2008. The main focus of the analyses is on continuity arrangements, operational stability, liquidity requirements, liquidity economising, gridlock resolution, transaction queuing arrangements, network features and network topologies. The studies examine systems in several countries and cover different kinds of payment systems and regimes.
Principal Component Analysis Based Feature Extraction Approach to Identify Circulating microRNA Biomarkers (2013)

The discovery and characterization of blood-based disease biomarkers are clinically important because blood collection is easy and involves relatively little stress for the patient. However, blood generally reflects not only targeted diseases, but also the whole body status of patients. Thus, the selection of biomarkers may be difficult. In this study, we considered miRNAs as biomarker candidates for several reasons. First, since miRNAs were discovered relatively recently, they have not yet been tested extensively. Second, since the number of miRNAs is relatively limited, selection is expected to be easy. Third, since they are known to play critical roles in a wide range of biological processes, their expression may be disease specific. We applied a newly proposed method to select combinations of miRNAs that discriminate between healthy controls and each of 14 diseases that include 5 cancers. A new feature selection method is based on principal component analysis. Namely this method does not require knowledge of whether each sample was derived from a disease patient or a healthy control. Using this method, we found that hsa-miR-425, hsa-miR-15b, hsa-miR-185, hsa-miR-92a, hsa-miR-140-3p, hsa-miR-320a, hsa-miR-486-5p, hsa-miR-16, hsa-miR-191, hsa-miR-106b, hsa-miR-19b, and hsa-miR-30d were potential biomarkers; combinations of 10 of these miRNAs allowed us to discriminate each disease included in this study from healthy controls. These 12 miRNAs are significantly up- or downregulated in most cancers and other diseases, albeit in a cancer- or disease-specific combinatory manner. Therefore, these 12 miRNAs were also previously reported to be cancer- and disease-related miRNAs. Many disease-specific KEGG pathways were also significantly enriched by target genes of up-/downregulated miRNAs within several combinations of 10 miRNAs among these 12 miRNAs. We also selected miRNAs that could discriminate one disease from another or from healthy controls. These miRNAs were found to be largely overlapped with miRNAs that discriminate each disease from healthy controls.
Vagus Nerve Stimulation for Treatment of Seizures? (1998)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Neurology HomeNew OnlineCurrent IssueFor Authors Podcast Publications JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Neurology journal
New soft-switched reluctance motor drive circuit (2002)

A new soft-switched reluctance motor drive circuit is proposed, involving only four transistors. The circuit yields less EMI, because of soft-switching, and the output torque is increased by means of reduced current-pulse tail-length. As this circuit utilizes only one series switching device from DC source through winding, the system efficiency is also increased.
Destabilization of osteogenesis imperfecta collagen-like model peptides correlates with the identity of the residue replacing glycine (2000)

Mutations resulting in replacement of one obligate Gly residue within the repeating (Gly-Xaa-Yaa)(n) triplet pattern of the collagen type I triple helix are the major cause of osteogenesis imperfecta (OI). Phenotypes of OI involve fragile bones and range from mild to perinatal lethal. In this study, host-guest triple-helical peptides of the form acetyl-(Gly-Pro-Hyp)(3)-Zaa-Pro-Hyp-(Gly-Pro-Hyp)(4)-Gly-Gly-amide are used to isolate the influence of the residue replacing Gly on triple-helix stability, with Zaa = Gly, Ala, Arg, Asp, Glu, Cys, Ser, or Val. Any substitution for Zaa = Gly (melting temperature, T(m) = 45 degrees C) results in a dramatic destabilization of the triple helix. For Ala and Ser, T(m) decreases to approximately 10 degrees C, and for the Arg-, Val-, Glu-, and Asp-containing peptides, T(m) < 0 degrees C. A Gly --> Cys replacement results in T(m) < 0 degrees C under reducing conditions but shows a broad transition (T(m) approximately 19 degrees C) in an oxidizing environment. Addition of trimethylamine N-oxide increases T(m) by approximately 5 degrees C per 1 M trimethylamine N-oxide, resulting in stable triple-helix formation for all peptides and allowing comparison of relative stabilities. The order of disruption of different Gly replacements in these peptides can be represented as Ala </= Ser < CPO(red) < Arg < Val < Glu </= Asp. The rank of destabilization of substitutions for Gly in these Gly-Pro-Hyp-rich homotrimeric peptides shows a significant correlation with the severity of natural OI mutations in the alpha1 chain of type I collagen.
Using semi-supervised machine learning to address the Big Data problem in DNS networks (2017)

The problem of Big Data in cyber security (i.e., too much network data to analyze) compounds itself every day. Our approach is based on a fundamental characteristic of Big Data: an overwhelming majority of the network traffic in a traditionally secured enterprise (i.e., using defense-in-depth) is non-malicious. Therefore, one way of eliminating the Big Data problem in cyber security is to ignore the overwhelming majority of an enterprise's non-malicious network traffic and focus only on the smaller amounts of suspicious or malicious network traffic. Our approach uses simple clustering along with a dataset enriched with known malicious domains (i.e., anchors) to accurately and quickly filter out the non-suspicious network traffic. Our algorithm has demonstrated the predictive ability to accurately filter out approximately 97% (depending on the algorithm used) of the non-malicious data in millions of Domain Name Service (DNS) queries in minutes and identify the small percentage of unseen suspicious network traffic. We demonstrate that the resulting network traffic can be analyzed with traditional reputation systems, blacklists, or in-house threat tracking sources (we used virustotal.com) to identify harmful domains that are being accessed from within the enterprise network. Specifically, our results show that the method can reduce a dataset of 400k query-answer domains (with complete malicious domain ground truth) down to only 3% containing 99% of all malicious domains. Further, we demonstrate that this capability scales to 10 million query-answer pairs, which it can reduce by 97% in less than an hour.
Recent developments for QWIP IR imaging modules at AIM (1998)

A new family of 2 dimensional detection modules based on GaAs quantum well (QWIP) photoconductors was recently developed by AEG Infrarot-Module GmbH (AIM). The QWIP material was developed by the Fraunhofer Institute for Applied Physics (IAF) in Freiburg, Germany. Details of the QWIP chip will be presented in a separate paper. This paper will concentrate on the features of the QWIP detection module i.e. the integration of this specific focal plane array (FPA) into an integrated detector cooler assembly (IDCA), the driving and readout electronics and the necessary non uniformity correction (NUC) hardware and algorithms for achieving the best performance. The paper shows how the new 256 X 256 QWIP module is integrated in AIM's modular family of detectors. Measured results are shown for the thermal resolution and the correctability of the device. The results are compared with results of recently developed detection modules based on mercury cadmium telluride (MCT) as discussed in a separate paper. The correctability results show, that the full performance of the QWIP module with a thermal resolution as low as NETD less than 10 mK can only be used in systems by highly sophisticated NUC algorithms. AIM has introduced a new self adaptive algorithm (SAICA) which allows a dynamical optimization of the correction coefficients of high performance detection modules. Features of this algorithm will shortly be discussed. AIM contemporarily develops a new 640 X 512 QWIP module in cooperation with IAF. The device is available starting mid 1998. Basic features of the new device will be given as an outlook.
Structure‐function activity of azasterols and nitrogen‐containing steroids (1976)

Thirty-nine nitrogen-containing steroids were tested against two gram-negative, five gram-positive, and two yeast organisms. Many of these steroids have been previously reported to inhibit various metabolic processes involving sterol metabolism. While low minimal inhibitory concentration (MIC) values were recorded for sterol producing yeast, growth of bacteria which contain no sterols was also inhibited. Structure-function studies provided no relationship between biological activity and hypocholesteremic effects of these azasteroids. A hypothesis put forward is that amino and azasteroids are effectors of membrane which, in the case of mitochondria, lead to changes in adenosine triphosphate levels and/or dehydrogenase activity. Their effects on sterol metabolism, therefore, may be of secondary consideration.
High-Resolution Spectroscopy Using an Acousto-Optic Tunable Filter and a Fiber-Optic Fabry-Perot Interferometer (1996)

A compact, solid-state, high-resolution spectrometer consisting of an acousto-optic tunable filter (AOTF) and a fiber-optic Fabry-Perot (FFP) interferometer has been developed. The system has been designed for high-resolution inductively coupled plasma atomic emission spectroscopy (ICP-AES) applications. A description of the AOTF-FFP and its performance is presented. The resolution of the AOTF-FFP was determined by measuring the physical widths of ICP emission lines using a 1.5-m-focal-length grating spectrometer and deconvoluting the physical line shapes from the acquired AOTF-FFP spectra. Over the optimum range of the FFP mirror coatings, the resolution is sufficient for the determination of isotopic and hyperfine emission features in ICP-AES experiments, and approaches that of the 1.5-m spectrometer. The application of the AOTF-FFP to the determination of uranium isotopes (U-235 and U-238) introduced into the ICP is presented.
EEG Monitoring in Anesthesiology and Intensive Care (1983)

Knowledge of the actual state of cerebral function and of the changes induced by psychotropic drugs is important not only to neurologically oriented specialties but also to other branches of medicine concerned with altering cerebral function. This applies especially to anesthesiology which involves numerous procedures leading to a temporary loss of cognitive brain function. Recently, the application of EEG combined with spectral analysis performed during anesthesia and intensive-care treatment has attracted attention: we investigated the changes in EEG during standardized anesthesiological and therapeutical procedures pre-, intra- and postoperatively, or during intensive-care treatment in 1,500 patients undergoing general surgery from 1977 to 1982. Two-track EEG leads accompanied by spectral analysis were used on line. The evaluation of routinely applied EEG monitoring justifies the following statements: EEG monitoring can be adapted technically and organized to comply with the working conditions and daily activities of an anesthesiological department. Spectral analytic representations allow the assessment of the EEG by the anesthesiologist. The various methods of general anesthesia produce specific EEG changes which can be obliterated by the cumulative effect of drugs. The actual depth of anesthesia is visible in the EEG. During a defined constant anesthetic depth, potentially hazardous cerebral dysfunctions can be detected early and treated accordingly. EEG monitoring can be useful in solving urgent medical problems of intensive-care therapy.
Seromic profiling of colorectal cancer patients with novel glycopeptide microarray (2010)

Cancer-associated autoantibodies hold promise as sensitive biomarkers for early detection of cancer. Aberrant post-translational variants of proteins are likely to induce autoantibodies, and changes in O-linked glycosylation represent one of the most important cancer-associated post-translational modifications (PTMs). Short aberrant O-glycans on proteins may introduce novel glycopeptide epitopes that can elicit autoantibodies because of lack of tolerance. Technical barriers, however, have hampered detection of such glycopeptide-specific autoantibodies. Here, we have constructed an expanded glycopeptide array displaying a comprehensive library of glycopeptides and glycoproteins derived from a panel of human mucins (MUC1, MUC2, MUC4, MUC5AC, MUC6 and MUC7) known to have altered glycosylation and expression in cancer. Seromic profiling of patients with colorectal cancer identified cancer-associated autoantibodies to a set of aberrant glycopeptides derived from MUC1 and MUC4. The cumulative sensitivity of the array analysis was 79% with a specificity of 92%. The most prevalent of the identified autoantibody targets were validated as authentic cancer immunogens by showing expression of the epitopes in cancer using novel monoclonal antibodies. Our study provides evidence for the value of glycopeptides and other PTM-peptide arrays in diagnostic measures.