bluuebunny/crossref_metadata_2025_split huggingface dataset:
L’inventivité en psychanalyse d’enfants. Effets de transmission dans la clinique
Authors: Bourdeu Marc Antoine 
Published: August 2016

Dans la transmission de la psychanalyse avec les enfants, les consultations ouvertes, sur le modèle de celle de Françoise Dolto à Trousseau, procèdent de l’inventivité. L’auteur, formé à ce travail avec les enfants au travers de la consultation ouverte d’Enfance en jeu, souhaite également démontrer que la psychanalyse avec les enfants est indissociable de la psychanalyse avec les adultes. En psychanalyse avec les enfants, le dessin en particulier, et son écoute par l’analyste, joue par exemple un rôle similaire à celui des rêves et de leur interprétation dans la psychanalyse avec les adultes. A travers l’analyse d’un cas clinique, un petit garçon reçu pendant de nombreuses années, l’auteur illustre quelques particularités de l’analyse avec les enfants : la place des parents, les effets transférentiels entre l’enfant, les parents, l’analyste, l’inventivité produite...
Performance Equivalence and Validation of the Soleris Automated System for Quantitative Microbial Content Testing Using Pure Suspension Cultures
Authors: Limberg Brian J , Johnstone Kevin , Filloon Thomas , Catrenich Carl 
Published: August 2016

Abstract
Using United States Pharmacopeia-National Formulary (USP-NF) general method &lt;1223&gt; guidance, the Soleris® automated system and reagents (Nonfermenting Total Viable Count for bacteria and Direct Yeast and Mold for yeast and mold) were validated, using a performance equivalence approach, as an alternative to plate counting for total microbial content analysis using five representative microbes: Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa, Candida albicans, and Aspergillus brasiliensis. Detection times (DTs) in the alternative automated system were linearly correlated to CFU/sample (R2 = 0.94–0.97) with ≥70% accuracy per USP General Chapter &lt;1223&gt; guidance. The LOD and LOQ of the automated system were statistically similar to the traditional plate count method. This system was significantly more precise than plate counting (RSD 1.2–2.9% for DT, 7.8–40.6% for plate counts), was statistically comparable to plate counting with respect to variations in analyst, vial lots, and instruments, and was robust when variations in the operating detection thresholds (dTs; ±2 units) were used. The automated system produced accurate results, was more precise and less labor-intensive, and met or exceeded criteria for a valid alternative quantitative method, consistent with USP-NF general method &lt;1223&gt; guidance.
Thallium magnesium chloride: A high light yield, large effective atomic number, intrinsically activated crystalline scintillator for X-ray and gamma-ray detection
Authors: Fujimoto Yutaka , Koshimizu Masanori , Yanagida Takayuki , Okada Go , Saeki Keiichiro , Asai Keisuke 
Published: August 2016

Abstract
We report the luminescence and the scintillation properties of a newly developed thallium magnesium chloride (TlMgCl3) crystal. The crystal sample can be easily fabricated from the melt using the Bridgman method. The photoluminescence band appeared near the wavelength of 405 nm under excitation at 230 nm. An X-ray-induced scintillation spectrum showed an intense emission band near the wavelength of 405 nm. The decay time constant was estimated to be approximately 60 ns (∼25%) and 350 ns (∼75%) using a bi-exponential fitting. The scintillation light yield reached 46,000 photons/MeV with an energy resolution of 5% at 662 keV.
River gauging at global scale using optical and passive microwave remote sensing
Authors: Van Dijk Albert I. J. M. , Brakenridge G. Robert , Kettner Albert J. , Beck Hylke E. , De Groeve Tom , Schellekens Jaap 
Published: August 2016

AbstractRecent discharge observations are lacking for most rivers globally. Discharge can be estimated from remotely sensed floodplain and channel inundation area, but there is currently no method that can be automatically extended to many rivers. We examined whether automated monitoring is feasible by statistically relating inundation estimates from moderate to coarse (>0.05°) resolution remote sensing to monthly station discharge records. Inundation extents were derived from optical MODIS data and passive microwave sensors, and compared to monthly discharge records from over 8000 gauging stations and satellite altimetry observations for 442 reaches of large rivers. An automated statistical method selected grid cells to construct “satellite gauging reaches” (SGRs). MODIS SGRs were generally more accurate than passive microwave SGRs, but there were complementary strengths. The rivers widely varied in size, regime, and morphology. As expected performance was low (R < 0.7) for many (86%), often small or regulated, rivers, but 1263 successful SGRs remained. High monthly discharge variability enhanced performance: a standard deviation of 100–1000 m3 s−1 yielded ca. 50% chance of R > 0.6. The best results (R > 0.9) were obtained for large unregulated lowland rivers, particularly in tropical and boreal regions. Relatively poor results were obtained in arid regions, where flow pulses are few and recede rapidly, and in temperate regions, where many rivers are modified and contained. Provided discharge variations produce clear changes in inundated area and gauge records are available for part of the satellite record, SGRs can retrieve monthly river discharge values back to around 1998 and up to present.
Medium‐scale gravity wave activity in the thermosphere inferred from GOCE data
Authors: Garcia Raphael F. , Bruinsma Sean , Massarweh Lotfi , Doornbos Eelco 
Published: August 2016

AbstractThis study is focused on the effect of solar flux conditions on the dynamics of gravity waves (GWs) in the thermosphere. Air density and crosswind in situ estimates from the Gravity Field and Steady‐State Ocean Circulation Explorer (GOCE) accelerometers are analyzed for the whole mission duration. The analysis is performed in the Fourier spectral domain averaging spectral results over periods of 2 months close to solstices. A new GW marker (called
) is introduced here to characterize GWs activity under low, medium, and high solar flux conditions, showing a clear solar damping effect on GW activity. Most GW signal is found in a spectral range above 8 mHz in GOCE data, meaning a maximum horizontal wavelength of around 1000 km. The level of GW activity at GOCE altitude is strongly decreasing with increasing solar flux. Furthermore, a shift in the dominant frequency with solar flux conditions has been noted, leading to larger horizontal wavelengths (from 200 to 500 km) during high solar flux conditions. The correlation between air density variability and GW marker allows to identify most of the large‐amplitude perturbations below 67° latitudes as due to GWs. The influence of correlated error sources, between air density and crosswinds, is discussed. Consistency of the spectral domain results is verified in the time domain with a global mapping of high‐frequency air density perturbations along the GOCE orbit. This analysis shows a clear dependence with geomagnetic latitude with strong perturbations at magnetic poles and an extension to lower latitudes favored by low solar activity conditions. These results are consistent with previous Challenging Minisatellite Payload (CHAMP) data analysis and with general circulation models.
Calibration‐induced uncertainty of the EPIC model to estimate climate change impact on global maize yield
Authors: Xiong Wei , Skalský Rastislav , Porter Cheryl H. , Balkovič Juraj , Jones James W. , Yang Di 
Published: August 2016

AbstractUnderstanding the interactions between agricultural production and climate is necessary for sound decision‐making in climate policy. Gridded and high‐resolution crop simulation has emerged as a useful tool for building this understanding. Large uncertainty exists in this utilization, obstructing its capacity as a tool to devise adaptation strategies. Increasing focus has been given to sources of uncertainties for climate scenarios, input‐data, and model, but uncertainties due to model parameter or calibration are still unknown. Here, we use publicly available geographical data sets as input to the Environmental Policy Integrated Climate model (EPIC) for simulating global‐gridded maize yield. Impacts of climate change are assessed up to the year 2099 under a climate scenario generated by HadEM2‐ES under RCP 8.5. We apply five strategies by shifting one specific parameter in each simulation to calibrate the model and understand the effects of calibration. Regionalizing crop phenology or harvest index appears effective to calibrate the model for the globe, but using various values of phenology generates pronounced difference in estimated climate impact. However, projected impacts of climate change on global maize production are consistently negative regardless of the parameter being adjusted. Different values of model parameter result in a modest uncertainty at global level, with difference of the global yield change less than 30% by the 2080s. The uncertainty subjects to decrease if applying model calibration or input data quality control. Calibration has a larger effect at local scales, implying the possible types and locations for adaptation.
Generalized Order Statistics
Authors: Kamps Udo 
Published: August 2016

AbstractOrder statistics and record values appear in many statistical applications and are widely used in statistical modeling and inference. Both models describe random variables arranged in ascending order of magnitude. Generalized order statistics provide a unified approach to a variety of models of ordered random variables with different interpretations, such as common order statistics, sequential order statistics, progressively type II censored order statistics, record values, th record values, and Pfeifer's records. These models can be effectively applied, for example, in reliability theory. An order statistic represents the life length of some ‐out‐of‐ system, which is an important technical structure. For this application, sequential order statistics serve to describe influences of failures on the life‐length distributions of the remaining components.The distribution theory of generalized order statistics is established along the lines of common order statistics. By this, we find that well‐known properties of order statistics and record values are also valid for generalized order statistics. The results on generalized order statistics concern their distribution theory, and, for example, relations and bounds for moments, structural properties, characterizations of distributions, preservation of aging properties and stochastic orderings, extreme value theory, and statistical inference with respect to both, model and distribution parameters.
Kolmogorov–Smirnov Tests of Fit
Authors: Stephens Michael A. 
Published: August 2016

AbstractIn this article, tests of fit based on Kolmogorov–Smirnov (KS) statistics and statistics similar to these are discussed. KS statistics belong to the wider class of empirical distribution function (EDF) statistics, so‐called because they are based on the EDF of a given sample.
Moving Sums (MOSUM)
Authors: Hackl Peter 
Published: August 2016

AbstractThe monitoring of a sequence of observations in order to decide whether they are realizations of identically distributed random variables is a common problem in various situations of applied statistics, two of which will be discussed in this article: (a) testing the constancy of a regression relationship over time and (b) continuous sampling inspection.The basic model isYt=E[Yt] +Ut,Utbeing independently distributed according toN(0,σ2), that is, normal with mean zero and varianceσ2. In (b),E[Yt] is the target valueμ0, which may be known or unknown. In (a), letE[Yt] beβ,ztbeing thek‐vector of regressor variables observed at timetandβthek‐vector of regression coefficients. A further parameter isσ2, which might be known in situations of type (b).The model used for (b) can be seen as a simplified version of that used for (a). In both situations, the aim of the analysis is to determine whether the assumption of constancy of the respective model parameters is violated. Therefore, the test statistics and test procedures can be treated in common. In most control situations, however, the tests are performed during the continuing process, that is, on the basis of a growing amount of data. This contrasts with (a), where the test usually is performed after all data have been obtained (i.e., as a means of checking the adequacy of the model that is the basis of the analysis).
Probability Proportional to Size (PPS) Sampling
Authors: Skinner Chris J. 
Published: August 2016

AbstractProbability proportional to size (PPS) sampling is a method of sampling from a finite population in which a size measure is available for each population unit before sampling and where the probability of selecting a unit is proportional to its size. Its use arises in two particular contexts: (i) multistage sampling and (ii) single‐stage sampling of establishments. Unbiased estimation is obtained using the Hansen–Hurvitz estimator in the case of PPS with replacement sampling and the Horvitz–Thompson estimator in the case of probability proportional to size without replacement (PPSWOR) sampling. Variance estimation is also discussed. A variety of PPSWOR designs are outlined, including systematic sampling and conditional Poisson sampling.
Internet Research Methods
Authors: Hewson Claire , Stewart David W. 
Published: August 2016

Abstract

This article provides an introduction to the use of the Internet as a research tool. Methods for searching the Internet for secondary sources of information are explained and representative search tools and information resources are identified. Issues related to the evaluation of information obtained from the Internet are identified. The use of the Internet as a tool for gathering primary research data (
Internet‐mediated research: IMR
) is also discussed. Issues related to the reliability of IMR methods, the validity of IMR data, and the ethical challenges that can arise are highlighted.
Multivariable Fractional Polynomial Models
Authors: Sauerbrei Willi , Royston Patrick 
Published: August 2016

AbstractMultivariable regression models are widely used in all areas of science in which empirical data are analyzed. The multivariable fractional polynomials (MFPs) procedure combines the selection of important variables with the determination of functional form for continuous predictors. We introduce the approach and discuss key issues and approaches to handling them. In an example, we compare the selected MFP model with the full model and a model derived with backward elimination. Concerning function selection for continuous variables, splines are the most important competitors to fractional polynomials. We mention main results of a recent simulation study. Finally, we refer to further extensions and developments based on fractional polynomial methodology.
Deviance Information Criterion (DIC)
Authors: Meyer Renate 
Published: August 2016

AbstractThe deviance information criterion (DIC) was introduced in 2002 by Spiegelhalteret al. to compare the relative fit of a set of Bayesian hierarchical models. It is similar to Akaike's information criterion (AIC) in combining a measure of goodness‐of‐fit and measure of complexity, both based on the deviance. While AIC uses the maximum likelihood estimate, DIC's plug‐in estimate is based on the posterior mean. As the number of independent parameters in a Bayesian hierarchical model is not clearly defined, DIC estimates the effective number of parameters by the difference of the posterior mean of the deviance and the deviance at the posterior mean. This coincides with the number of independent parameters in fixed effect models with flat priors, thus the DIC is a generalization of AIC. It can be justified as an estimate of the posterior predictive model performance within a decision‐theoretic framework and it is asymptotically equivalent to leave‐one‐out cross‐validation. The DIC has been used extensively for practical model comparison in many disciplines and works well for exponential family models but due to its dependence on the parametrization and focus of a model, its application to mixture models is problematic.
Accelerating Enzymatic Catalysis Using Vortex Fluidics
Authors: Britton Joshua , Meneghini Luz M. , Raston Colin L. , Weiss Gregory A. 
Published: August 2016

AbstractEnzymes catalyze chemical transformations with outstanding stereo‐ and regio‐specificities, but many enzymes are limited by their long reaction times. A general method to accelerate enzymes using pressure waves contained within thin films is described. Each enzyme responds best to specific frequencies of pressure waves, and an acceleration landscape for each protein is reported. A vortex fluidic device introduces pressure waves that drive increased rate constants (kcat) and enzymatic efficiency (kcat/Km). Four enzymes displayed an average seven‐fold acceleration, with deoxyribose‐5‐phosphate aldolase (DERA) achieving an average 15‐fold enhancement using this approach. In solving a common problem in enzyme catalysis, a powerful, generalizable tool for enzyme acceleration has been uncovered. This research provides new insights into previously uncontrolled factors affecting enzyme function.
Nanomedizin auf Phagenbasis: von Sonden zu Therapeutika für eine Präzisionsmedizin
Authors: Sunderland Kegan S. , Yang Mingying , Mao Chuanbin 
Published: August 2016

AbstractDieser Aufsatz betrachtet Nanopartikel auf Basis lytischer und temperenter Bakteriophagen in der Nanomedizin, insbesondere im Zusammenhang mit der Entwicklung von Nanosonden für eine präzise Diagnostik und Nanotherapeutika für eine gezielte Krankheitsbehandlung. Phagen infizieren normalerweise keine eukaryotischen Zellen und sind daher für diese nicht toxisch. Sie können allerdings zum einen genetisch so verändert werden, dass sie spezifisch an Nanopartikel, Zellen, Gewebe und Organe binden, und können zum anderen in funktionale abiotische Nanomaterialien integriert werden, wo sie die Diagnose und Therapie von Erkrankungen ermöglichen. In diesem Aufsatz wird der Einsatz von Phagenstrukturen in der Nanomedizin zusammengefasst; Beispiele sind der hochempfindliche Nachweis von Biomarkern, eine verbesserte biologische Bildgebung zur Krankheitserkennung sowie zielgerichtete Wirkstoff‐ und Genapplikation. Außerdem werden Vorschläge zur weiteren Entwicklung einer Phagen‐basierten Nanomedizin gemacht, und der aktuelle Stand entsprechender klinischer Studien wird dargestellt.
Phage‐Enabled Nanomedicine: From Probes to Therapeutics in Precision Medicine
Authors: Sunderland Kegan S. , Yang Mingying , Mao Chuanbin 
Published: August 2016

AbstractBoth lytic and temperate bacteriophages (phages) can be applied in nanomedicine, in particular, as nanoprobes for precise disease diagnosis and nanotherapeutics for targeted disease treatment. Since phages are bacteria‐specific viruses, they do not naturally infect eukaryotic cells and are not toxic to them. They can be genetically engineered to target nanoparticles, cells, tissues, and organs, and can also be modified with functional abiotic nanomaterials for disease diagnosis and treatment. This Review will summarize the current use of phage structures in many aspects of precision nanomedicine, including ultrasensitive biomarker detection, enhanced bioimaging for disease diagnosis, targeted drug and gene delivery, directed stem cell differentiation, accelerated tissue formation, effective vaccination, and nanotherapeutics for targeted disease treatment. We will also propose future directions in the area of phage‐based nanomedicines, and discuss the state of phage‐based clinical trials.
Retroviral particles are effectively purified on an affinity matrix containing peptides selected by phage‐display
Authors: Fernandes Cláudia S. M. , Barbosa Inês , Castro Rute , Pina Ana Sofia , Coroadinha Ana Sofia , Barbas Ana , Roque A. Cecília A. 
Published: August 2016

AbstractRetroviral particles are expensive to manufacture, mostly due to the downstream processing steps which result in low recoveries (≈30%) and concentration factors. In this work, a dodecapeptide phage‐display library was panned against retrovirus like particles expressing the envelope protein Ampho4070A (VLPs‐AMPHO) and VLPs without the target protein, used as a negative control (VLPs). A depletion/selection panning protocol was successfully used to deal with the structural complexity of the target, and a total of three distinct peptide sequences displaying preferential binding towards VLPs‐AMPHO were found. Peptide 3 (CAAALAKPHTENHLLT), which appeared as one lead candidate, was synthesized and immobilized onto two purification matrices, cross‐linked agarose and magnetic particles. The matrices selectively bound VLPs‐AMPHO and in both cases recovery yields higher than 90% were obtained when employing mild elution conditions, while maintaining viral particle morphology and size.
Increasing the Activity and Efficiency of Stereoselective Oxidations by using Decoy Molecules in Combination with Rate‐Enhancing Variants of P450Bm3
Authors: Munday Samuel D. , Dezvarei Shaghayegh , Bell Stephen G. 
Published: August 2016

AbstractThe use of rate‐accelerating variants of P450Bm3 coupled with decoy molecules is described, resulting in improved catalytic activity for hydroxylation and epoxidation reactions. Prochiral substrates were investigated to ascertain the effect of the mutant enzymes and the decoy molecules on the regio‐ and enantioselectivity of the oxidations. For the alkyl and alkene substituted benzene substrates tested, large improvements in the product formation activity over the wild‐type enzyme were obtained. The product formation rates for the substrates tested ranged from 660 to 2210 nmol (nmol P450)−1 min−1 for variants containing the R47L and Y51F mutations. Although the regioselectivity was not significantly altered in most of the turnovers, some adjustment in the enantioselectivity was observed with smaller substrates. The addition of decoy molecules often resulted in improved enantioselectivity and counteracted reductions arising from the rate‐accelerating mutants.
Boosting High‐Rate Lithium Storage of V2O5 Nanowires by Self‐Assembly on N‐Doped Graphene Nanosheets
Authors: Gao Xiao‐Tian , Zhu Xiao‐Dong , Le Shi‐Ru , Yan Du‐Juan , Qu Cai‐Yu , Feng Yu‐Jie , Sun Ke‐Ning , Liu Yi‐Tao 
Published: August 2016

AbstractV2O5 is a promising cathode material for lithium‐ion batteries owing to its extremely high theoretical capacity (440 mA h g−1 when storing 3 Li+ ions and 294 mA h g−1 when storing 2 Li+). However, drawbacks such as a strong inclination to aggregate and the low conductivity inherent to nanostructured V2O5 drastically deteriorate its cycle and rate performances. Hence, hybridizing it with a conductive matrix (e.g. graphene) for improved electrochemical performance is an interesting concept. It is well established that heteroatom functionalization (e.g. N doping) can tailor the chemical properties of graphene by influencing the neighboring carbon atoms to enhance conductivity and electrochemical activity. Herein, a high‐rate cathode material is fabricated by self‐assembly of V2O5 nanowires on N‐doped graphene nanosheets, followed by heat treatment to optimize the electrochemical performance. The synergistic effects of the resulting V2O5/N‐doped graphene nanohybrids are demonstrated by their excellent rate capability: they deliver very high capacities of 273, 242, 206, 181, and 161 mA h g−1 at current densities of 100, 200, 500, 1000, and 2000 mA g−1.