GRAIL gravity field determination using the Celestial Mechanics Approach

The NASA mission GRAIL (Gravity Recovery and Interior Laboratory) inherited its concept from the GRACE (Gravity Recovery and Climate Experiment) mission to determine the gravity field of the Moon. We present lunar gravity fields based on the data of GRAIL’s primary mission phase. Gravity field recovery is realized in the framework of the Celestial Mechanics Approach, using a development version of the Bernese GNSS Software along with Ka-band range-rate data series as observations and the GNI1B positions provided by NASA JPL as pseudo-observations. By comparing our results with the official level-2 GRAIL gravity field models we show that the lunar gravity field can be recovered with a high quality by adapting the Celestial Mechanics Approach, even when using pre-GRAIL gravity field models as a priori fields and when replacing sophisticated models of non-gravitational accelerations by appropriately spaced pseudo-stochastic pulses (i.e., instantaneous velocity changes). We present and evaluate two lunar gravity field solutions up to degree and order 200 – AIUB-GRL200A and AIUB-GRL200B. While the first solution uses no gravity field information beyond degree 200, the second is obtained by using the official GRAIL field GRGM900C up to degree and order 660 as a priori information. This reduces the omission errors and demonstrates the potential quality of our solution if we resolved the gravity field to higher degree.

Practical approach to the use of daylight photodynamic therapy with topical methyl aminolevulinate for actinic keratosis: a European consensus

INTRODUCTION Daylight-mediated photodynamic therapy has been shown to be an effective therapy for actinic keratoses (AKs) and a simple and tolerable treatment procedure in three randomized Scandinavian studies and two recent Phase III randomized controlled studies in Australia and Europe. OBJECTIVES To establish consensus recommendations for the use of daylight photodynamic therapy (DL-PDT) using topical methyl aminolaevulinate (MAL) in European patients with AKs. METHODS The DL-PDT consensus recommendations were developed on behalf of the European Society for Photodynamic Therapy in Dermatology and comprised of 10 dermatologists from different European countries with experience in how to treat AK patients with PDT. Consensus was developed based on literature review and experience of the experts in the treatment of AK using DL-PDT. RESULTS The recommendations arising from this panel of experts provide general guidance on the use of DL-PDT as a dermatological procedure with specific guidance regarding patient selection, therapeutic indications, when to treat, pre-treatment skin preparation, MAL application and daylight exposure for patients with AK in different countries of Europe. CONCLUSIONS This consensus recommendation provides a framework for physicians to perform DL-PDT with MAL cream while ensuring efficiency and safety in the treatment of patients with AK in different European countries.

AN APPROACH TO THE CHARACTERIZATION OF FIBRONECTIN-INTERACTION WITH MAMMALIAN CELLS

Cell adhesion is a fundamentally important process which has been implicated in morphogenesis, metastasis and wound healing. Fibronectin (Fn), a large glycoprotein present in body fluids, the extracellular matrix, and on the cell surface, mediates adhesion of fibroblastic cells. To study the interaction of Fn with Chinese Hamster Cell (CHO) cell membranes, latex beads coated with H('3)-Fn (Fn-beads) were used as surface probes. Binding of Fn-beads was independent of temperature, divalent cations, and metabolic activity. Identification of fibronectin-receptors has been problematical. To study Fn binding components, Fn-beads were pre-incubated with purified glycosaminoglycans (GAGs) and glycolipids. Among the GAGs tested, heparin and heparan sulfate blocked bead binding. Only sialylated glycolipids, GT(,1) and GD(,1) were inhibitory; however, neuraminidase treatment of cells had no effect. It was further shown that Fn-bead binding could be blocked by pre-treating cells with papain. Furthermore, papain digestion releases cellular material which blocks Fn-bead-cell binding. Beads coated with a fragment of Fn which binds to cells but not heparin (F105) were also blocked by soluble papain digests. It was observed that the ability of F105-beads to bind to CHO cells was dependent on surface charge as F105 on uncharged beads did not bind to cells; whereas, F105 on positive or negative beads displayed cell binding activity. The active component in the papain digests was apparently macromolecular (i.e. non-dialysable) and heat stable (i.e. 100(DEGREES)C for 15 min.). This suggested the inhibitory factor is more likely a glycopeptide, rather than a GAG or glycolipid. The findings of this research can be summarized as follows: (1) the expression of cell binding of Fn and Fn fragments can be modulated by the chemical nature of the surface used for adsorption; (2) factors can be released by proteolytic digestion which block Fn and Fn-fragment bead binding; and (3) since bead binding can be done under conditions which reflect initial Fn-cell interaction, it seems likely that the component(s) identified in this way may play a direct role in the recognition phases of cell adhesion to Fn. ^

Learning about Self Far From Home: A Pre-service Teacher’s Intercultural Development During an International Program

Preparing teachers to effectively teach culturally diverse students, teacher educators advocate for the use of cross-cultural field experiences, including international study abroad programs. This paper reports on a qualitative case study of two pre-service teachers’ intercultural development during a semester-long teacher education study abroad program in London, England. Findings indicate that international experiences provide a catalyst to move pre-service teachers forward in their intercultural development. Implications include the need for multicultural teacher educators to take a developmental approach to pre-service teacher education informed by theories of intercultural development and cultural learning developed within intercultural communications.

Stability and potential application of spliced nuclear pre -mRNA introns

A major portion of this thesis work was dedicated to study the nature and significance of spliced introns. The initial work was focused on studying the IVS1$\sb{\rm C\beta 1}$ intron from a T-cell receptor (TCR)-$\beta$ gene. Compared to an intron lariat control from adenovirus pre-mRNA that was spliced in vitro, IVS1$\sb{\rm C\beta 1}$ was debranched less efficiently by HeLa S100 extracts, although IVS1$\sb{\rm C\beta 1}$ also used the consensus branchpoint in vivo. Subcellular-fractionation analysis showed that most IVS1$\sb{\rm C\beta 1}$ lariats cofractionated with pre-mRNA in the nucleus, consistent with the possibility that intron degradation releases splicing factors which will be available for further rounds of splicing. The half-life of IVS1$\sb{\rm C\beta 1}$ from the endogenous TCR-$\beta$ gene was measured using the general transcription inhibitor actinomycin D to be about $\sim$15 min, which was similar to that of unstable mRNAs such as c-myc mRNA.^ The general transcription inhibitor DRB was also used for intron stability analysis. Unexpectedly, DRB decreased intron and pre-mRNA levels only initially, it later increased the levels of intron-containing RNAs. Inhibition of transcription initiation appeared to be the major early effect (the reduction phase); whereas enhanced premature transcription termination was dominant later (the induction phase).^ Having established the procedures for studying in vivo spliced introns, this approach was applied to study the mechanism of nonsense-mediated downregulation (NMD), a phenomena in which premature termination codons (PTCs) decrease the levels of mRNAs. In this study, the novel intron-oriented approach was applied to study the mechanism of NMD. The levels of spliced introns immediately upstream and downstream of a PTC-bearing exon in a TCR-$\beta$ gene were identified and analyzed along with their pre-mRNA. Although PTC reduced the mRNA levels by 4 to 9 fold, the steady-state levels of spliced introns and the pre-mRNA-to-intron ratios were not significantly altered, indicating that the PTC did not significantly inhibit TCR-$\beta$ RNA splicing. Consistent with this conclusion, the half-lives of the PTC$\sp+$ and PTC$\sp-$ pre-mRNA were similar. The protein synthesis inhibitor cyclohexmide (CHX) upregulated the levels of the PTC$\sp+$ mRNA over 10 fold without affecting the levels of the spliced introns, suggesting that the reversal effect of CHX was through stabilization, not production. These results indicated that inhibition of splicing could not be the major mechanism for the NMD pathway of the TCR-$\beta$ gene, instead, suggesting that mRNA destabilization may be more important. (Abstract shortened by UMI.) ^

Comerciantes en Río de la Plata pre-virreinal. El caso de Domingo de Basavilbaso

El propósito de este texto es presentar a uno de los comerciantes más exitosos de mediados del siglo XVIII en la región Río de la Plata y una aproximación al conjunto del cual emerge. La imagen de grupo se obtiene a partir de los registros de navíos españoles, que permiten realizar un estudio pormenorizado de la participación de los individuos en los envíos a España. Al mismo tiempo, y para acercarme más a uno de los individuos en particular y su primer círculo de relaciones se utiliza, además de los registros, la bibliografía disponible y la batería habitual de fuentes consultadas en las investigaciones sobre comerciantes

Comerciantes en Río de la Plata pre-virreinal. El caso de Domingo de Basavilbaso

El propósito de este texto es presentar a uno de los comerciantes más exitosos de mediados del siglo XVIII en la región Río de la Plata y una aproximación al conjunto del cual emerge. La imagen de grupo se obtiene a partir de los registros de navíos españoles, que permiten realizar un estudio pormenorizado de la participación de los individuos en los envíos a España. Al mismo tiempo, y para acercarme más a uno de los individuos en particular y su primer círculo de relaciones se utiliza, además de los registros, la bibliografía disponible y la batería habitual de fuentes consultadas en las investigaciones sobre comerciantes

Comerciantes en Río de la Plata pre-virreinal. El caso de Domingo de Basavilbaso

El propósito de este texto es presentar a uno de los comerciantes más exitosos de mediados del siglo XVIII en la región Río de la Plata y una aproximación al conjunto del cual emerge. La imagen de grupo se obtiene a partir de los registros de navíos españoles, que permiten realizar un estudio pormenorizado de la participación de los individuos en los envíos a España. Al mismo tiempo, y para acercarme más a uno de los individuos en particular y su primer círculo de relaciones se utiliza, además de los registros, la bibliografía disponible y la batería habitual de fuentes consultadas en las investigaciones sobre comerciantes

Investigation of the seasonality of N. pachyderma in the North Atlantic Ocean during Heinrich Stadial 1 using an ecosystem modeling approach

Fossil shells of planktonic foraminifera serve as the prime source of information on past changes in surface ocean conditions. Because the population size of planktonic foraminifera species changes throughout the year, the signal preserved in fossil shells is biased towards the conditions when species production was at its maximum. The amplitude of the potential seasonal bias is a function of the magnitude of the seasonal cycle in production. Here we use a planktonic foraminifera model coupled to an ecosystem model to investigate to what degree seasonal variations in production of the species Neogloboquadrina pachyderma may affect paleoceanographic reconstructions during Heinrich Stadial 1 (~18-15 cal. ka B.P.) in the North Atlantic Ocean. The model implies that during Heinrich Stadial 1 the maximum seasonal production occurred later in the year compared to the Last Glacial Maximum (~21-19 cal. ka B.P.) and the pre-industrial era north of 30 ºN. A diagnosis of the model output indicates that this change reflects the sensitivity of the species to the seasonal cycle of sea-ice cover and food supply, which collectively lead to shifts in the modeled maximum production from the Last Glacial Maximum to Heinrich Stadial 1 by up to six months. Assuming equilibrium oxygen isotopic incorporation in the shells of N. pachyderma, the modeled changes in seasonality would result in an underestimation of the actual magnitude of the meltwater isotopic signal recorded by fossil assemblages of N. pachyderma wherever calcification is likely to take place.

Two way clustering of Microarray Data using a Hybrid Approach

The Microarray technique is rather powerful, as it allows to test up thousands of genes at a time, but this produces an overwhelming set of data files containing huge amounts of data, which is quite difficult to pre-process, separate, classify and correlate for interesting conclusions to be extracted. Modern machine learning, data mining and clustering techniques based on information theory, are needed to read and interpret the information contents buried in those large data sets. Independent Component Analysis method can be used to correct the data affected by corruption processes or to filter the uncorrectable one and then clustering methods can group similar genes or classify samples. In this paper a hybrid approach is used to obtain a two way unsupervised clustering for a corrected microarray data.

Improving Wishart Classification of Polarimetric SAR Data Using the Hopfield Neural Network Optimization Approach.

This paper proposes the optimization relaxation approach based on the analogue Hopfield Neural Network (HNN) for cluster refinement of pre-classified Polarimetric Synthetic Aperture Radar (PolSAR) image data. We consider the initial classification provided by the maximum-likelihood classifier based on the complex Wishart distribution, which is then supplied to the HNN optimization approach. The goal is to improve the classification results obtained by the Wishart approach. The classification improvement is verified by computing a cluster separability coefficient and a measure of homogeneity within the clusters. During the HNN optimization process, for each iteration and for each pixel, two consistency coefficients are computed, taking into account two types of relations between the pixel under consideration and its corresponding neighbors. Based on these coefficients and on the information coming from the pixel itself, the pixel under study is re-classified. Different experiments are carried out to verify that the proposed approach outperforms other strategies, achieving the best results in terms of separability and a trade-off with the homogeneity preserving relevant structures in the image. The performance is also measured in terms of computational central processing unit (CPU) times.

Nutrition and physical activity programs for obesity treatment (PRONAF study). methodological approach of the project

Este trabajo aborda la metodología seguida para llevar a cabo el proyecto de investigación PRONAF (Clinical Trials Gov.: number NCT01116856.) Background: At present, scientific consensus exists on the multifactorial etiopatogenia of obesity. Both professionals and researchers agree that treatment must also have a multifactorial approach, including diet, physical activity, pharmacology and/or surgical treatment. These two last ones should be reserved for those cases of morbid obesities or in case of failure of the previous ones. The aim of the PRONAF study is to determine what type of exercise combined with caloric restriction is the most appropriate to be included in overweigth and obesity intervention programs, and the aim of this paper is to describe the design and the evaluation methods used to carry out the PRONAF study. Methods/design: One-hundred nineteen overweight (46 males) and 120 obese (61 males) subjects aged 18–50 years were randomly assigned to a strength training group, an endurance training group, a combined strength + endurance training group or a diet and physical activity recommendations group. The intervention period was 22 weeks (in all cases 3 times/wk of training for 22 weeks and 2 weeks for pre and post evaluation). All subjects followed a hypocaloric diet (25-30% less energy intake than the daily energy expenditure estimated by accelerometry). 29–34% of the total energy intake came from fat, 14–20% from protein, and 50–55% from carbohydrates. The mayor outcome variables assesed were, biochemical and inflamatory markers, body composition, energy balance, physical fitness, nutritional habits, genetic profile and quality of life. 180 (75.3%) subjects finished the study, with a dropout rate of 24.7%. Dropout reasons included: personal reasons 17 (28.8%), low adherence to exercise 3 (5.1%), low adherence to diet 6 (10.2%), job change 6 (10.2%), and lost interest 27 (45.8%). Discussion: Feasibility of the study has been proven, with a low dropout rate which corresponds to the estimated sample size. Transfer of knowledge is foreseen as a spin-off, in order that overweight and obese subjects can benefit from the results. The aim is to transfer it to sports centres. Effectiveness on individual health-related parameter in order to determine the most effective training programme will be analysed in forthcoming publications.

Systematic Approach for the selection of monitoring technologies in CO2 geological storage projects. Application of multicriteria decision making

Geologic storage of carbon dioxide (CO2) has been proposed as a viable means for reducing anthropogenic CO2 emissions. Once injection begins, a program for measurement, monitoring, and verification (MMV) of CO2 distribution is required in order to: a) research key features, effects and processes needed for risk assessment; b) manage the injection process; c) delineate and identify leakage risk and surface escape; d) provide early warnings of failure near the reservoir; and f) verify storage for accounting and crediting. The selection of the methodology of monitoring (characterization of site and control and verification in the post-injection phase) is influenced by economic and technological variables. Multiple Criteria Decision Making (MCDM) refers to a methodology developed for making decisions in the presence of multiple criteria. MCDM as a discipline has only a relatively short history of 40 years, and it has been closely related to advancements on computer technology. Evaluation methods and multicriteria decisions include the selection of a set of feasible alternatives, the simultaneous optimization of several objective functions, and a decision-making process and evaluation procedures that must be rational and consistent. The application of a mathematical model of decision-making will help to find the best solution, establishing the mechanisms to facilitate the management of information generated by number of disciplines of knowledge. Those problems in which decision alternatives are finite are called Discrete Multicriteria Decision problems. Such problems are most common in reality and this case scenario will be applied in solving the problem of site selection for storing CO2. Discrete MCDM is used to assess and decide on issues that by nature or design support a finite number of alternative solutions. Recently, Multicriteria Decision Analysis has been applied to hierarchy policy incentives for CCS, to assess the role of CCS, and to select potential areas which could be suitable to store. For those reasons, MCDM have been considered in the monitoring phase of CO2 storage, in order to select suitable technologies which could be techno-economical viable. In this paper, we identify techniques of gas measurements in subsurface which are currently applying in the phase of characterization (pre-injection); MCDM will help decision-makers to hierarchy the most suitable technique which fit the purpose to monitor the specific physic-chemical parameter.

A machine learning approach to identify clinical trials involving nanodrugs and nanodevices from ClinicalTrials.gov

BACKGROUND: Clinical Trials (CTs) are essential for bridging the gap between experimental research on new drugs and their clinical application. Just like CTs for traditional drugs and biologics have helped accelerate the translation of biomedical findings into medical practice, CTs for nanodrugs and nanodevices could advance novel nanomaterials as agents for diagnosis and therapy. Although there is publicly available information about nanomedicine-related CTs, the online archiving of this information is carried out without adhering to criteria that discriminate between studies involving nanomaterials or nanotechnology-based processes (nano), and CTs that do not involve nanotechnology (non-nano). Finding out whether nanodrugs and nanodevices were involved in a study from CT summaries alone is a challenging task. At the time of writing, CTs archived in the well-known online registry ClinicalTrials.gov are not easily told apart as to whether they are nano or non-nano CTs-even when performed by domain experts, due to the lack of both a common definition for nanotechnology and of standards for reporting nanomedical experiments and results. METHODS: We propose a supervised learning approach for classifying CT summaries from ClinicalTrials.gov according to whether they fall into the nano or the non-nano categories. Our method involves several stages: i) extraction and manual annotation of CTs as nano vs. non-nano, ii) pre-processing and automatic classification, and iii) performance evaluation using several state-of-the-art classifiers under different transformations of the original dataset. RESULTS AND CONCLUSIONS: The performance of the best automated classifier closely matches that of experts (AUC over 0.95), suggesting that it is feasible to automatically detect the presence of nanotechnology products in CT summaries with a high degree of accuracy. This can significantly speed up the process of finding whether reports on ClinicalTrials.gov might be relevant to a particular nanoparticle or nanodevice, which is essential to discover any precedents for nanotoxicity events or advantages for targeted drug therapy.

A new approach for the glotis segmentation using Snakes

The present work describes a new methodology for the automatic detection of the glottal space from laryngeal images based on active contour models (snakes). In order to obtain an appropriate image for the use of snakes based techniques, the proposed algorithm combines a pre-processing stage including some traditional techniques (thresholding and median filter) with more sophisticated ones such as anisotropic filtering. The value selected for the thresholding was fixed to the 85% of the maximum peak of the image histogram, and the anisotropic filter permits to distinguish two intensity levels, one corresponding to the background and the other one to the foreground (glottis). The initialization carried out is based on the magnitude obtained using the Gradient Vector Flow field, ensuring an automatic process for the selection of the initial contour. The performance of the algorithm is tested using the Pratt coefficient and compared against a manual segmentation. The results obtained suggest that this method provided results comparable with other techniques such as the proposed in (Osma-Ruiz et al., 2008).