gebhart/patrepeval huggingface dataset:
A Highly Emissive Heteroleptic Copper(I) Bis(phenanthroline) Complex:  [Cu(dbp)(dmp)]<sup>+</sup> (dbp = 2,9-Di-<i>tert</i>-butyl-1,10-phenanthroline; dmp = 2,9-Dimethyl-1,10-phenanthroline) (1999)

ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTA Highly Emissive Heteroleptic Copper(I) Bis(phenanthroline) Complex: [Cu(dbp)(dmp)]+ (dbp = 2,9-Di-tert-butyl-1,10-phenanthroline; dmp = 2,9-Dimethyl-1,10-phenanthroline)Mark T. Miller, Peter K. Gantzel, and Timothy B. KarpishinView Author Information Department of Chemistry and Biochemistry University of California, San Diego La Jolla, California 92093-0358 Cite this: J. Am. Chem. Soc. 1999, 121, 17, 4292–4293Publication Date (Web):April 14, 1999Publication History Received15 January 1999Published online14 April 1999Published inissue 1 May 1999https://pubs.acs.org/doi/10.1021/ja9901415https://doi.org/10.1021/ja9901415rapid-communicationACS PublicationsCopyright © 1999 American Chemical SocietyRequest reuse permissionsArticle Views1944Altmetric-Citations134LEARN 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 (2)»Supporting Information Supporting Information SUBJECTS:Ligands,Mathematical methods,Metal to ligand charge transfer,Quantum yield,Substituents Get e-Alerts
Nanoparticles in relation to peptide and protein aggregation (2014)

Over the past two decades, there has been considerable research interest in the use of nanoparticles in the study of protein and peptide aggregation, and of amyloid-related diseases. The influence of nanoparticles on amyloid formation yields great interest due to its small size and high surface area-to-volume ratio. Targeting nucleation kinetics by nanoparticles is one of the most searched for ways to control or induce this phenomenon. The observed effect of nanoparticles on the nucleation phase is determined by particle composition, as well as the amount and nature of the particle's surface. Various thermodynamic parameters influence the interaction of proteins and nanoparticles in the solution, and regulate the protein assembly into fibrils, as well as the disaggregation of preformed fibrils. Metals, organic particles, inorganic particles, amino acids, peptides, proteins, and so on are more suitable candidates for nanoparticle formulation. In the present review, we attempt to explore the effects of nanoparticles on protein and peptide fibrillation processes from both perspectives (ie, as inducers and inhibitors on nucleation kinetics and in the disaggregation of preformed fibrils). Their formulation and characterization by different techniques have been also addressed, along with their toxicological effects, both in vivo and in vitro.
Antiretroviral penetration into the CNS and incidence of AIDS-defining neurologic conditions (2014)

We estimated that initiation of a combined antiretroviral therapy regimen with a high CPE score increases the risk of HIV dementia, but not of other neuroAIDS conditions.
Vibrio cholerae fur mutations associated with loss of repressor activity: implications for the structural-functional relationships of fur (1994)

We used the Vibrio cholerae Fur protein as a model of iron-sensitive repressor proteins in gram-negative bacteria. Utilizing manganese mutagenesis, we isolated twelve independent mutations in V. cholerae fur that resulted in partial or complete loss of Fur repressor function. The mutant fur genes were recovered by PCR and sequenced; 11 of the 12 contained point mutations (two of which were identical), and one contained a 7-bp insertion that resulted in premature truncation of Fur. All of the mutants, except that containing the prematurely truncated Fur, produced protein by Western blot (immunoblot) analysis, although several had substantially smaller amounts of Fur and two made an immunoreactive protein that migrated more rapidly on sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Nine of the 11 point mutations altered amino acids that are identical in all of the fur genes sequenced so far, suggesting that these amino acids may play important structural or functional roles in Fur activity. Eight of the point mutations occurred in the amino-terminal half of Fur, which is thought to mediate DNA binding; most of these mutations occurred in conserved amino acids that have been previously suggested to play a role in the interaction between adjacent alpha-helices of the protein. Three of the point mutations occurred in the carboxy-terminal half of Fur, which is thought to bind iron. One mutation at histidine-90 was associated with complete loss of Fur function; this amino acid is within a motif previously suggested as being involved in iron binding by Fur. The fur allele mutant at histidine-90 interfered with iron regulation by wild-type fur in the same cell when the mutant allele was present at higher copy number; wild-type fur was dominant over all other fur mutant alleles studied. These results are analyzed with respect to previous models of the structure and function of Fur as an iron-sensitive repressor.
Instantaneous complex spectral domain OCT using 3x3 fiber couplers (2004)

We report that the complex conjugate ambiguity in spectral domain OCT approaches (including swept source OCT and Fourier-domain OCT) may be removed by the use of novel interferometer designs based on NxN couplers.An interferometer based on a 3x3 truly fused fiber coupler with equal splitting ratios provides simultaneous access to components of the complex interferometric signal separated by 120 o .These phase components may be converted to quadrature components by use of a simple trigonometric operation, and then inverse Fourier transformed to obtain Ascans and images free of complex conjugate artifact.We demonstrate instantaneous complex spectral-domain OCT using a novel Fourier-domain OCT system employing photodiode arrays, and will also report on a similar system design for instantaneous complex swept-source OCT.
Additives for Coatings (2000)

No doubt: A perfect coating has to look brilliant! But other properties of coatings are also most important. Coatings have to be durable, tough and easily applicable. Additives are the key to success in achieving these characteristics, even though the amounts used in coating formulations are small. It is not trivial at all to select the best additives. In practice, many series of tests are often necessary, and the results do not explain, why a certain additive improves the quality of a coating and another one impairs the coating. This book is dedicated to developers and applicants of coatings working in research or production, and it is aimed at providing a manual for their daily work. It will answer the following questions: How do the most important groups of additives act? Which effects can be be achieved by their addition? Scientific theories are linked to practical applications. Emphasis is put on the optical aspects that are most important for the applications in practice. This book is a milestone in quality assurance in the complete field of coatings!
[The dopamine transporter: characterization and physiopathologic implications]. (1996)

The dopamine transporter (DAT) is the carrier protein that transports dopamine across the presynaptic membrane. The DAT terminates the action of dopamine (DA) in the synapse via reuptake and thus regulates DA neurotransmission. The transporter has been studied by direct binding techniques using a variety of ligands which are inhibitors of DA transport. DAT binding, both in vivo (positron emission tomography) and in vitro (post mortem) may serve as a presynaptic marker to measure altered DA innervation in several neuropsychiatric diseases such as idiopathic Parkinson's disease, Tourette's disease, schizophrenia or cocaine addiction. In Parkinson's disease, a reduction in the density of binding sites could be due either to a degeneration of the terminal dopaminergic projections or to a compensatory readjustment in the level of dopamine synaptic transmission. This dopaminergic cell specific marker could also aid in attempts to elucidate the rate at which dopaminergic cells are lost in this disease. MPTP (a neurotoxin which induces a parkinsonian-like syndrome after conversion in MPP+) uses DAT to enter the neuron and exert its toxic effect which may be prevented by pretreatment with DA uptake blockers. In cocaine abuse, DAT mediates the addictive properties of cocaine. Cocaine binding sites on the carrier may be distinct from DA binding sites allowing the development of medication sparing the DA function but impairing the cocaine effects. In schizophrenia, functional DA uptake was reported to be increased in the striatum in post mortem brains, whereas the kinetic parameters of the uptake sites were unchanged using different transporter labeling ligands. Thus, this marker does not provide any evidence for the dopaminergic hypothesis, but an impairment of the DAT itself could possibly be involved in the etiology of schizophrenia. However, the possible interaction of drugs such as L-Dopa or neuroleptic treatment with transporter binding may be taken into account in the results analysis. Finally, the DAT gene is also an important candidate gene for psychiatric diseases such as schizophrenia or cocaine abuse.
The primary structure of a human IgG2 heavy chain: genetic, evolutionary, and functional implications. (1980)

Abstract The entire amino acid sequence of a human monoclonal immunoglobulin γ2 chain (Til) has been determined. The Til protein represents the second human IgG subclass whose H chain has been completely sequenced. The Til γ2 chain contains 440 amino acid residues—115 in the V region and 325 in the C region. Comparison of this sequence with that of other human and animal γ-chains failed to reveal clear-cut amino acid changes in any of the CH domains that can account for the different biologic effector functions of various IgG subclasses. There is approximately 50 to 75% sequence homology among various mammalian γ-chains within their respective CH domains. The sequence information indicates that the nomenclature for mammalian IgG subclasses does not have any phylogenetic implication. In term of intraspecies comparison, the human y2 chain has approximately 90% or more sequence homology with the human γ1 chain at all three corresponding CH domains. In contrast, the mouse γ1 chain has only 61 to 73% sequence homology with the mouse γ2a chain at the three corresponding CH domains. The guinea pig γ1 chain has 91% sequence homology with its γ2 chains at the chi domain (parallel to that between human γ-chain subclasses) but 70% and 64% homology, respectively, at the corresponding CH2 and CH3 domains (parallel to that between mouse γ-chain subclasses). These comparisons indicate that in man as well as in mouse, exons that encode all three C-region domains of a given γ-chain have evolved in parallel in one germ-line DNA segment as one gene unit, whereas the exons coding for the chi domains of guinea pig γ-chains have evolved independently from those that encode the CH2 and CH3 domains of its y-chains. In guinea pigs, an additional rearrangement of DNA may be necessary for y-chain synthesis, which brings the chi exon from one germ-line DNA segment to the neighborhood of the CH2 and CH3 exons at another noncontiguous germ-line DNA segment during B cell differentiation.
Influences of various surface pretreatments on the mechanical and degradable properties of photografted oil palm fibers (2007)

Abstract Natural‐fiber‐reinforced polymers can exhibit very different mechanical performances and environmental aging resistance depending on their interphase properties. A lack of good interfacial adhesion and poor resistance to moisture absorption make oil palm fibers less attractive as reinforcing agents. To improve the interfacial properties, oil palm fibers were grafted with different percentages of allyl methacrylate (AMA) in methanol. Darocur 2959 was added as a photoinitiator and initiated photochemical polymerization. The fiber surfaces were pretreated by an alkali, KMnO 4 , and dewaxed; this was followed by grafting with AMA to determine the effect of various surface treatments on the physicomechanical properties of grafted fibers. The alkali treatment increased the surface roughness with better impregnation of the polymer, which increased the tensile properties by about 20%. A minute amount of an additive (urea) and a coupling agent (silane) were added to the optimum formulations. These increased the physical properties of the grafted oil palm fibers because of increased crosslinking. The treated and untreated fiber samples were also subjected to various weather conditions, such as simulated weather, soil, and water aging, to determine the degradation properties, and lower losses were observed for the treated samples than the untreated fibers. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 2007
Rule-based approach to recognizing human body poses and gestures in real time (2013)

In this paper we propose a classifier capable of recognizing human body static poses and body gestures in real time. The method is called the gesture description language (GDL). The proposed methodology is intuitive, easily thought and reusable for any kind of body gestures. The very heart of our approach is an automated reasoning module. It performs forward chaining reasoning (like a classic expert system) with its inference engine every time new portion of data arrives from the feature extraction library. All rules of the knowledge base are organized in GDL scripts having the form of text files that are parsed with a LALR-1 grammar. The main novelty of this paper is a complete description of our GDL script language, its validation on a large dataset (1,600 recorded movement sequences) and the presentation of its possible application. The recognition rate for examined gestures is within the range of 80.5–98.5 %. We have also implemented an application that uses our method: it is a three-dimensional desktop for visualizing 3D medical datasets that is controlled by gestures recognized by the GDL module.
The unique aromatic catabolic genes in sphingomonads degrading polycyclic aromatic hydrocarbons(PAHs). (2003)

Many members of the sphingomonad genus isolated from different geological areas can degrade a wide variety of polycyclic aromatic hydrocarbons (PAHs) and related compounds. These sphingomonads such as Sphingobium yanoikuyae strain B1, Novosphingobium aromaticivorans strain F199, and Sphingobium sp. strain P2 have been found to possess a unique group of genes for aromatic degradation, which are distantly related with those in pseudomonads and other genera reported so far both in sequence homology and gene organization. Genes for aromatics degradation in these sphingomonads are complexly arranged; the genes necessary for one degradation pathway are scattered through several clusters. These aromatic catabolic gene clusters seem to be conserved among many other sphingomonads such as Sphingobium yanoikuyae strain Q1, Sphingomonas paucimobilis strain TNE12, S. paucimobilis strain EPA505, Sphingobium agrestis strain HV3, and Sphingomonas chungbukensis strain DJ77. Furthermore, some genes for naphthalenesulfonate degradation found in Sphingomonas xenophaga strain BN6 also share a high sequence homology with their homologues found in these sphingomonads. On the other hand, protocatechuic catabolic gene clusters found in fluorene-degrading Sphingomonas sp. strain LB126 appear to be more closely related with those previously found in lignin-degrading S. paucimobilis SYK-6 than the genes in this group of sphingomonads. This review summarizes the information on the distribution of these strains and relationships among their aromatic catabolic genes.
The F-Box Protein ACRE189/ACIF1 Regulates Cell Death and Defense Responses Activated during Pathogen Recognition in Tobacco and Tomato (2008)

Virus-induced gene silencing identified the Avr9/Cf-9 RAPIDLY ELICITED gene ACRE189 as essential for the Cf-9- and Cf-4-mediated hypersensitive response (HR) in Nicotiana benthamiana. We report a role for ACRE189 in disease resistance in tomato (Solanum lycopersicum) and tobacco (Nicotiana tabacum). ACRE189 (herein renamed Avr9/Cf-9-INDUCED F-BOX1 [ACIF1]) encodes an F-box protein with a Leu-rich-repeat domain. ACIF1 is widely conserved and is closely related to F-box proteins regulating plant hormone signaling. Silencing of tobacco ACIF1 suppressed the HR triggered by various elicitors (Avr9, Avr4, AvrPto, Inf1, and the P50 helicase of Tobacco mosaic virus [TMV]). ACIF1 is recruited to SCF complexes (a class of ubiquitin E3 ligases), and the expression of ACIF1 F-box mutants in tobacco compromises the HR similarly to ACIF1 silencing. ACIF1 affects N gene-mediated responses to TMV infection, including lesion formation and salicylic acid accumulation. Loss of ACIF1 function also reduced confluent cell death induced by Pseudomonas syringae pv tabaci. ACIF1 silencing in Cf9 tomato attenuated the Cf-9-dependent HR but not Cf-9 resistance to Cladosporium fulvum. Resistance conferred by the Cf-9 homolog Cf-9B, however, was compromised in ACIF1-silenced tomato. Analysis of public expression profiling data suggests that Arabidopsis thaliana homologs of ACIF1 (VFBs) regulate defense responses via methyl jasmonate- and abscisic acid-responsive genes. Together, these findings support a role of ACIF1/VFBs in plant defense responses.
Practical Data Science with R (2014)

Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed. What's Inside Data science for the business professional Statistical analysis using the R language Project lifecycle, from planning to delivery Numerous instantly familiar use cases Keys to effective data presentations About the Authors Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com.
Low Coherence Interferometry in Selective Laser Melting (2014)

Selective Laser Melting (SLM) is an additive layer manufacturing technology that offers several advantages compared to conven- tional methods of production such as an increased freedom of design and a toolless production suited for variable lot sizes. Despite these attractive aspects today's state of the art SLM machines lack a holistic process monitoring system that detects and records typical defects during production. A novel sensor concept based on the low coherence interferometry (LCI) was integrated into an SLM production setup. The sensor is mounted coaxially to the processing laser beam and is capable of sampling distances along the optical axis. Measurements during and between the processing of powder layers can reveal crucial topology information which is closely related to the final part quality. The overall potential of the sensor in terms of quality assurance and process control is being discussed. Furthermore fundamental experiments were performed to derive the performance of the system.
Sloth on Time: Efficient Hardware-Based Scheduling for Time-Triggered RTOS (2012)

Traditional time-triggered operating systems are implemented by multiplexing a single hardware timer - the system timer - in software, having the kernel maintain dispatcher tables at run time. Our Sloth on Time approach proposes to make use of multiple timer cells as available on modern micro controller platforms to encapsulate dispatcher tables in the timer configuration, yielding low scheduling and dispatching latencies at run time. Sloth on Time instruments available timer cells in different roles to implement time-triggered task activation, deadline monitoring, and time synchronization, amongst others. By comparing the Sloth on Time kernel implementation to two commercial kernels, we show that our concept significantly reduces the overhead of time-triggered operating systems. The speed-ups in task dispatching that it achieves range up to a factor of 171x, and its dispatch latencies go as low as 14 clock cycles. Additionally, we demonstrate that Sloth on Time minimizes jitter and increases schedulability for its real-time applications, and that it avoids situations of priority inversion where traditional kernels fail by design.
Human alpha-L-iduronidase. 2. Catalytic properties (1985)

1 The kinetic parameters of human liver α-L-iduronidase were determined with three disaccharide substrates: α-L-iduronosyl(1→4)2,5-anhydro-D-[1-3H]mannitol 6-sulphate, α-L-iduronosyl(1→4)2,5-anhydro-D[1-3H]mannitol and α-L-iduronosyl(1→3)2,5-anhydro-D-[1-3H]talitol 4-sulphate, derived from the natural substrates heparin and dermatan sulphate and one synthetic, fluorogenic substrate, 4-methylumbelliferyl α-L-induronide. 2 The enzyme activity with all four substrates was optimal at about pH 4.5 The Km values derived using the disaccharide substrates were elevated up to 10-fold with up to a 6.5-fold increase in ionic strength whereas that for the synthetic substrate was only increased by 1.7-fold. The V values for all substrates were unaffected. The inhibitory effect of NaCl, Na2SO4, NaH2PO4 or CuCl2 on enzyme activity was more pronounced with the disaccharide substrates than with the synthetic substrate. 3 The moiety which is most important in binding is the idopyranosyl residue. While the aglycone residue adds to the nett affinity for the enzyme, it is the substituent groups of both residues which appear to control catalysis. Specifically the carboxyl moiety of the α-L-iduronic acid residue is essential for catalysis while the presence of sulphate on the C4 or C6 position of the aglycone residue has a major influence on catalysis rather than binding. 4 α-L-Idosyl(1→4)2,5-anhydro-D-[1-3H]mannitol 6-sulphate did not undergo catalysis and was a potent inhibitor of enzyme activity, whereas β-glucuronosyl(1→4)2,5-anhydro-D-[1-3H]mannitol 6-sulphate, α-L-iduronosyl-2-sulphate(1→4)2,5-anhydro-D-[1-3H]-mannitol 6-sulphate and 4-methylumbelliferyl α-L-idoside did not undergo catalysis and were not inhibitory. 5 A model of the catalytic requirements of α-L-iduronidase is proposed.