Multivalent bonds in self-assembled bundles of ultrathin gold nanowires.

Ultrathin gold nanowires are unusual colloidal objects that assemble into bundles with line contacts between parallel wires. Each molecule in the contact line interacts with many ligand and solvent molecules. We used X-ray scattering and electron microscopy to study how these interactions control assembly.

[Hemoptysis and acute kidney injury in COVID-19]. / Hämoptysen und akutes Nierenversagen bei COVID-19.

The present case describes the diagnostic and therapy of the pulmorenal syndrome of a 40-year-old patient who presented in our clinic due to increasing respiratory insufficiency and hemoptysis with confirmed COVID-19 disease.

Intelligent tutoring systems.

Cognitive psychology, artificial intelligence, and computer technology have advanced to the point where it is feasible to build computer systems that are as effective as intelligent human tutors. Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP.

Gold nanorods with conjugated polymer ligands: sintering-free conductive inks for printed electronics.

Metal-based nanoparticle inks for printed electronics usually require sintering to improve the poor electron transport at particle-particle interfaces. The ligands required for colloidal stability act as insulating barriers and must be removed in a post-deposition sintering step. This complicates the fabrication process and makes it incompatible with many flexible substrates. Here, we bind a conjugated, electrically conductive polymer on gold nanorods (AuNRs) as a ligand. The polymer, poly[2-(3-thienyl)-ethyloxy-4-butylsulfonate] (PTEBS), provides colloidal stability and good electron transport properties to stable, sintering-free inks. We confirm that the polymer binds strongly through a multidentate binding motif and provides superior colloidal stability in polar solvents over months by IR and Raman spectrometry and zeta potential measurements. We demonstrate that the developed ligand exchange protocol is directly applicable to other polythiophenes such as poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS). Films of AuNRs coated with above polymers reached conductivities directly after deposition comparable to conventional metal inks after ligand removal and retained their conductivity for at least one year when stored under ambient conditions.

Microglial stability and repopulation in the retina.

BACKGROUND/AIMS: Parenchymal central nervous system microglia are repopulated by bone marrow derived monocytes more slowly than any other reticuloendothelial cells. The contribution of bone marrow derived monocytes to the uninflammed retina has not been studied. The present study sought to determine repopulation of retinal microglia in uniflammed retina by bone marrow derived monocytes in bone marrow chimeric rats. METHODS: Chimeric (Y-->X) Lewis rats were constructed by transplanting 5 x 10(7) male bone marrow cells into lethally irradiated female recipient rats. The chimeras were sacrificed 8, 10, 12, 30, and 52 weeks after bone marrow transplant, and retina, brain, lung, and spleen samples were collected. DNA was extracted and quantified. Y positive infiltrating cells in the collected samples were detected by polymerase chain reaction amplification of a Y chromosome specific 104 bp fragment. RESULTS: There was a rapid repopulation of haematopoietic tissues in the spleen (at 8 weeks), confirming the establishment of chimerism, and to a lesser extent, of lung (at 30 weeks). This repopulation was absent in the brain parenchyma and retina until 52 weeks after transplantation. CONCLUSIONS: These data indicate that resident microglia in the retina, much like those in the brain, are stable in number in the retinal compartment (up to 1 year), and repopulation by bone marrow derived cells may be delayed for a year.

Fluoroquinolone therapy in Mycobacterium chelonae keratitis after lamellar keratectomy.

PURPOSE: To characterize a rabbit model of Mycobacterium chelonae keratitis after lamellar keratectomy and assess the effectiveness of fluoroquinolone therapy. SETTING: University Laboratory, University of California, Irvine, California, USA. METHODS: Twenty-eight New Zealand white rabbits had unilateral lamellar keratectomy with placement of 2.5 x 10(5) colony-forming units of log-phase M chelonae under each flap. Eyes (7 per group) were randomized and treated with sterile balanced salt solution, gatifloxacin 0.3%, ciprofloxacin 0.3%, or levofloxacin 0.5% 4 times daily. Two masked observers examined all eyes on days 2, 5, and 7 and weekly for 4 weeks. Severity of disease and bacterial culture results were the main outcomes measured. The means and standard deviations were calculated, and differences between the groups were statistically analyzed. RESULTS: All eyes developed clinical disease. At the time the rabbits were killed, eyes treated with balanced salt solution, ciprofloxacin, levofloxacin, and gatifloxacin were culture positive in 6 (85.7%), 7 (100%), 6 (85.7%), and 3 (42.9%) of 7 eyes per group, respectively. Frequency of positive culture and the severity of clinical disease in gatifloxacin-treated eyes were significantly less (P < .05) than in the other groups combined. CONCLUSIONS: The rabbit model of M chelonae keratitis was successfully developed in our study. A fourth-generation quinolone (gatifloxacin) showed the best performance among the fluoroquinolones tested in our experimental approach. The fourth-generation fluoroquinolone, gatifloxacin, could be effectively used for the treatment of mycobacterial keratitis.

Generating visual images: units and relations.

Three major conclusions were drawn from the results of the experiments reported in this article: First, mental images may be constructed by amalgamating images of individual parts, and an increment of time is required to add each additional part to an image. This was true when "parts" were defined by the Gestalt laws of proximity, continuity, or similarity, when parts of objects were presented on separate pages initially and the subject mentally "glued" them together into a single image, and when the number of parts was varied by altering the way an ambiguous geometric form was described. Second, descriptive information can be used in constructing images. Subjects were able to image scenes in accordance with descriptions that specified the relative distances between component objects of the scene. More time was required to form images of scenes containing more objects, and more time was later required to scan between two imaged objects if they were mentally pictured at greater distances. Third, the ease of imaging a unit depends on how much material is included in each unit and on how difficult it is to locate where the unit should be placed relative to the existing portions of an image. This conclusion was supported by the finding that subjects require less time to image arrays composed of units containing fewer letters and require less time if arrays are composed of relatively discriminable letters than if arrays are composed of relatively indiscriminable letters. Finally, in two of the experiments nonimagery control groups were tested to demonstrate that generating an image is not the same as simply retrieving memorized verbal information or reviewing information in some more abstract format.

The accumulated experience of the Israeli Advanced Trauma Life Support program.

BACKGROUND: Between January 1990 and May 1995 one faculty in Israel taught Advanced Trauma Life Support (ATLS) courses to 3,700 physicians. Two types of courses were given to three subpopulations. We studied the influence of demographic variables on students' achievements in the course and compared students' achievements as a function of their course type. STUDY DESIGN: This study was conducted as a concurrent longitudinal study. RESULTS: Achievements of 3,700 students were analyzed. The precourse grade, type of course, and their interaction were found to have a significant effect on the postcourse grades. Physicians practicing surgical subspecialties, in general, did better, as did students educated in English-speaking countries. Students who took part in the Combat Trauma Life Support (CTLS) course, which included the entire ATLS course and additional lectures and exercises, also ended with better scores. CONCLUSIONS: Physician's country of origin and clinical subspecialty have a significant effect on the cognitive achievement in the ATLS course provided in Israel. An expanded ATLS course (CTLS), to include additional military trauma topics as well as additional skill station training, can improve the results of the postcourse grades.

Visual images preserve metric spatial information: evidence from studies of image scanning.

Four experiments demonstrated that more time is required to scan further distances across visual images, even when the same amount of material falls between the initial focus point and the target. Not only did times systematically increase with distance but subjectively larger images required more time to scan than did subjectively smaller ones. Finally, when subjects were not asked to base all judgments on examination of their images, the distance between an initial focus point and a target did not affect reaction times.

mROC: a computer program for combining tumour markers in predicting disease states.

Receiver operating characteristic (ROC) curves are limited when several diagnostic tests are available, mainly due to the problems of multiplicity and inter-relationships between the different tests. The program presented in this paper uses the generalised ROC criteria, as well as its confidence interval, obtained from the non-central F distribution, as a possible solution to this problem. This criterion corresponds to the best linear combination of the test for which the area under the ROC curve is maximal. Quantified marker values are assumed to follow a multivariate normal distribution but not necessarily with equal variances for two populations. Other options include Box-Cox variable transformations, QQ-plots, interactive graphics associated with changes in sensitivity and specificity as a function of the cut-off. We provide an example to illustrate the usefulness of data transformation and of how linear combination of markers can significantly improve discriminative power. This finding highlights potential difficulties with methods that reject individual markers based on univariate analyses.

[Generalized ROC criteria in the evaluation of several tumor markers]. / Critères ROC généralisés pour l'évaluation de plusieurs marqueurs tumoraux.

The main objective of this paper is to present a method of evaluating several tumor markers by using the generalized ROC criterion. This criterion finds the best linear combination of the tumor markers such that the area under the ROC curve is maximized. Confidence intervals for the generalized ROC criteria are also presented. This methodology is applied to 51 patients with advanced colorectal cancer for whom the ACE tumor markers were measured before and during chemotherapy treatment. Two populations were defined according to clinical response to chemotherapy. Each marker taken separately, whether on the raw scale or on the transformed scale, contained 0.5 in the confidence interval and was thus non significant. This was also true for both markers on the raw scale. However, the best linear combination on the logarithms of ACE before and at evaluation gave a significantly better area under the ROC curve. A weighted change in ACE measurements significantly distinguishes between responders and non responders in patients with advanced colorectal cancer. We propose that the methodology presented in this paper be used for the evaluation of several tumor markers.

Criticality of predictors in multiple regression.

A new method is proposed for comparing all predictors in a multiple regression model. This method generates a measure of predictor criticality, which is distinct from and has several advantages over traditional indices of predictor importance. Using the bootstrapping (resampling with replacement) procedure, a large number of samples are obtained from a given data set which contains one response variable and p predictors. For each sample, all 2p-1 subset regression models are fitted and the best subset model is selected. Thus, the (multinomial) distribution of the probability that each of the 2p-1 subsets is 'the best' model for the data set is obtained. A predictor's criticality is defined as a function of the probabilities associated with the models that include the predictor. That is, a predictor which is included in a large number of probable models is critical to the identification of the best-fitting regression model and, therefore, to the prediction of the response variable. The procedure can be applied to fixed and random regression models and can use any measure of goodness of fit (e.g., adjusted R2, Cp, AIC) for identifying the best model. Several criticality measures can be defined by using different combinations of the probabilities of the best-fitting models, and asymptotic confidence intervals for each variable's criticality can be derived. The procedure is illustrated with several examples.

Measuring the effectiveness of diagnostic markers in the presence of measurement error through the use of ROC curves.

The area under the receiver operating characteristic curve is frequently used to assess the effectiveness of diagnostic markers in distinguishing between diseased and healthy individuals. These markers are generally subject to measurement error. In this paper confidence intervals for the area under the curve are developed which take measurement error into account. These intervals depend on the availability of replicated observations for the subject. Both equal and unequal numbers of replicates per subject are considered. The practice of averaging over replicates and then ignoring measurement error is examined and found wanting.

Confidence intervals for the generalized ROC criterion.

Receiver operating characteristic (ROC) curves are frequently used to assess the usefulness of diagnostic markers. When several diagnostic markers are available, they can be combined by a best linear combination: that is, when the area under the ROC curve of this combination is maximized among all possible linear combinations. This maximal area is the generalized ROC criterion, which provides a measure of how effective the combination of the markers is. This criterion needs to be estimated from the data, and is usually evaluated against single markers. In the present paper, we provide confidence intervals for the generalized ROC criterion under the assumption of homogeneous covariance matrices, derive an approximation for the heterogeneous covariance matrices case, and evaluate the approximation via a simulation study. Finally, we present an illustrative example.

Dynamic treatment allocation adjusting for prognostic factors for more than two treatments.

Methods of sequential allocation of one of K treatments to patients, while controlling for important prognostic factors, are developed and compared. We focus on methods that are based on optimality theory (Begg and Iglewicz, 1980, Biometrics 36, 81-90; Atkinson, 1982, Biometrika 69, 61-67), the permuted block procedure (Zelen, 1974, Journal of Chronic Diseases 27, 365-375), and the compromise method (Faraggi and Reiser, 1991, Communication in Statistics, Simulation and Computation 20, 243-254). These methods are extended to the K treatments case and are evaluated in terms of efficiency and balance. It is shown that each method achieved the best results in the criterion it was designed to optimize, i.e., within stratum balance for the permuted block allocation and efficiency for the allocations that are based on optimality theory, but did not do well with other criteria. The compromise method, on the other hand, has good overall properties in terms of both balance and efficiency.

Confidence intervals for the 50 per cent response dose.

Confidence intervals for the 50 per cent response dose are usually computed using either the Delta method or Fieller's procedure. Recently, confidence intervals computed by inverting the asymptotic likelihood ratio test have also been recommended. There is some controversy as to which of these methods should be used. By means of an extensive simulation study we examine these methods as well as confidence intervals obtained by the approximate bootstrap confidence (ABC) procedure and an adjusted form of the likelihood ratio based confidence intervals.

Relationship of plasma amino acids to nitrogen balance and portal-systemic encephalopathy in alcoholic liver disease.

Plasma amino acids were compared in three groups of patients with alcoholic liver disease including stable cirrhosis, acute alcoholic hepatitis without portal-systemic encephalopathy, and cirrhosis with encephalopathy. In addition, plasma amino acids were correlated with nitrogen balance in patients with acute alcoholic hepatitis and with clinical improvement in patients with encephalopathy. Significant differences in plasma amino acids within these groups were present. Plasma amino acids did not change with improvement in portal-systemic encephalopathy, and abnormalities of plasma amino acids did not prevent maintenance or attainment of positive nitrogen balance in patients with acute alcoholic hepatitis.

Statistical inference for the area under the receiver operating characteristic curve in the presence of random measurement error.

The area under the receiver operating characteristic curve is the most commonly used measure of the ability of a biomarker to distinguish between two populations. Some markers are subject to substantial measurement error. Under normality assumptions, the authors develop a confidence interval procedure for the area under the receiver operating characteristic curve that adjusts for measurement error. This procedure assumes the availability of data from a reliability study of the biomarker. A simulation study was used to check the validity of the proposed confidence interval. Furthermore, it was shown that not adjusting for measurement error could result in a serious understatement of the effectiveness of the biomarker.

Vaginal temperature rhythms in sheep.

Six ovariectomized adult sheep were tethered in a temperature--and light--controlled room and given feed and water ad lib. Vaginal temperatures were recorded at 10m intervals for 12 or 17d. Hourly means were calculated and subjected to statistical anlayses by time--series procedures. Initial analysis revealed a positive linear trend in most animals suggesting a low frequency rhythm with a period greater than the 17d experimental period. All subsequent analyses were, therefore, conducted on data adjusted for a linear trend. The periodogram, correlogram and spectral density analyses revealed a predominant circadian rhythm in 5 of the 6 animals. Ultradian rhythms, with periods of 12 and 8h, were also present in some animals. The magnitude of the rhythmic change in vaginal temperature, as estimated from the amplitude of the circadian component, varied from 0.05 degrees to 0.16 degrees C. Calculation of the external acrophase indicated that the daily maximum temperature occurred between 0851 and 1727.