Biosynthesis of pyochelin and dihydroaeruginoic acid requires the iron-regulated pchDCBA operon in Pseudomonas aeruginosa.

The high-affinity siderophore salicylate is an intermediate in the biosynthetic pathway of pyochelin, another siderophore and chelator of transition metal ions, in Pseudomonas aeruginosa. The 2.5-kb region upstream of the salicylate biosynthetic genes pchBA was sequenced and found to contain two additional, contiguous genes, pchD and pchC, having the same orientation. The deduced amino acid sequence of the 60-kDa PchD protein was similar to those of the EntE protein (2,3-dihydroxybenzoate-AMP ligase) of Escherichia coli and other adenylate-forming enzymes, suggesting that salicylate might be adenylated at the carboxyl group by PchD. The 28-kDa PchC protein showed similarities to thioesterases of prokaryotic and eukaryotic origin and might participate in the release of the product(s) formed from activated salicylate. One potential product, dihydroaeruginoate (Dha), was identified in culture supernatants of iron-limited P. aeruginosa cells. The antifungal antibiotic Dha is thought to arise from the reaction of salicylate with cysteine, followed by cyclization of cysteine. Inactivation of the chromosomal pchD gene by insertion of the transcription and translation stop element omega Sm/Sp abolished the production of Dha and pyochelin, implying that PchD-mediated activation of salicylate may be a common first step in the synthesis of both metabolites. Furthermore, the pchD::omega Sm/Sp mutation had a strong polar effect on the expression of the pchBA genes, i.e., on salicylate synthesis, indicating that the pchDCBA genes constitute a transcriptional unit. A full-length pchDCBA transcript of ca. 4.4 kb could be detected in iron-deprived, growing cells of P. aeruginosa. Transcription of pchD started at tandemly arranged promoters, which overlapped with two Fur boxes (binding sites for the ferric uptake regulator) and the promoter of the divergently transcribed pchR gene encoding an activator of pyochelin biosynthesis. This promoter arrangement allows tight iron-mediated repression of the pchDCBA operon.

Reversible and high capacity data hiding in medical images

In this paper we introduce a highly efficient reversible data hiding system. It is based on dividing the image into tiles and shifting the histograms of each image tile between its minimum and maximum frequency. Data are then inserted at the pixel level with the largest frequency to maximize data hiding capacity. It exploits the special properties of medical images, where the histogram of their nonoverlapping image tiles mostly peak around some gray values and the rest of the spectrum is mainlyempty. The zeros (or minima) and peaks (maxima) of the histograms of the image tiles are then relocated to embed the data. The grey values of some pixels are therefore modified.High capacity, high fidelity, reversibility and multiple data insertions are the key requirements of data hiding in medical images. We show how histograms of image tiles of medical images can be exploited to achieve these requirements. Compared with data hiding method applied to the whole image, our scheme can result in 30%-200% capacity improvement and still with better image quality, depending on the medical image content. Additional advantages of the proposed method include hiding data in the regions of non-interest and better exploitation of spatial masking.

Photodynamic therapy selectively enhances liposomal doxorubicin uptake in sarcoma tumors to rodent lungs.

BACKGROUND: In specific conditions, photodynamic therapy (PDT) can enhance the distribution of macromolecules across the endothelial barrier in solid tumors. It was recently postulated that tumor neovessels were more responsive to PDT than the normal vasculature. We hypothesized that Visudyne(R)-mediated PDT could selectively increase liposomal doxorubicin (Liporubicin) uptake in sarcoma tumors to rodent lungs while sparing the normal surrounding tissue. MATERIALS AND METHODS: Sarcoma tumors were generated subpleurally in the left lower lung lobe of 66 Fischer rats. Ten days following sarcoma implantation, tumors underwent different pre-treatment schemes: no PDT (controls), low-dose PDT (0.0625 mg/kg Visudyne(R), 10 J/cm(2) and 35 mW/cm(2)) and high-dose PDT (0.125 mg/kg Visudyne(R), 10 J/cm(2) and 35 mW/cm(2)). Liporubicin was then administered and allowed to circulate for 1, 3, or 6 hours. At the end of each treatment scheme, we assessed the uptake of Liporubicin in tumor and lung tissues by high-performance liquid chromatography and fluorescence microscopy. RESULTS: In all PDT-treated groups, there was a significant enhancement of Liporubicin uptake in tumors compared to controls after 3 and 6 hours of drug circulation. In addition, Liporubicin distribution within the normal lung tissue was not affected by PDT. Thus, PDT pre-treatment significantly enhanced the ratio of tumor-to-lung drug uptake compared to controls. Finally, fluorescence microscopy revealed a well-detectable Liporubicin signaling throughout PDT-treated tumors but not in controls. CONCLUSIONS: PDT is a tumor-specific enhancer of Liporubicin distribution in sarcoma lung tumors which may find a translation in clinics.

Shallow-transfer rule-based machine translation for Czech to Polish

This article describes the developmentof an Open Source shallow-transfer machine translation system from Czech to Polish in theApertium platform. It gives details ofthe methods and resources used in contructingthe system. Although the resulting system has quite a high error rate, it is still competitive with other systems.

A Widely Used Machine Translation Service and its Migration to a Free/Open-Source Solution : the Case of Softcatalà

Softcatalà is a non-profit associationcreated more than 10 years ago to fightthe marginalisation of the Catalan languagein information and communicationtechnologies. It has led the localisationof many applications and thecreation of a website which allows itsusers to translate texts between Spanishand Catalan using an external closed-sourcetranslation engine. Recently,the closed-source translation back-endhas been replaced by a free/open-sourcesolution completely managed by Softcatalà: the Apertium machine translationplatform and the ScaleMT web serviceframework. Thanks to the opennessof the new solution, it is possibleto take advantage of the huge amount ofusers of the Softcatalà translation serviceto improve it, using a series ofmethods presented in this paper. In addition,a study of the translations requestedby the users has been carriedout, and it shows that the translationback-end change has not affected theusage patterns.

Ornament of Reason : an annoted english translation of rMa bya Byang chub brtson 'grus's : commentary to the Mūlamadhyamakakārikā

The present work contains an English translation of the Ornament of Reason (Tib. dBu ma'i rtsa ba shes rab kyi 'grel ba thad pa'i rgyan), an influential 12th century Tibetan commentary to a classic of Indian Buddhism, Nàgàrjuna's Root of the Middle Way (Skt. Mûlamadhyamaka-kârikâ Tib. dBu ma'i rtsa ba shes rab ces bya ba). The author, rMa bya byang chub brtson 'grus's, was among the first Tibetans to explicitly align themselves with the philosophical project of the 7th century Indian Madhyamaka teacher, CandrakTrti. With his stern revision and transformative re-employment of the epistemological framework that CandrakTrti otherwise scorns, rMa bya was however to develop an original and highly influential Madhyamaka interpretation.¦rMa bya's "topical outline" (Tib. sa bead) of his commentary is contained in the first appendix to the translation. The second appendix contains a digitalized version of the Rumtek edition of rMa bya's commentary, cross-referenced to the page numbers of the translation. The annotations contain concise explanatory remarks and suggestions for further reading, as well as identifications of the passages that rMa bya cites.

Priorities and hierarchical accounts of translation

This paper is a study of the concept of priority and its use together with the notion of hierarchy in academic writing and theoretical models of translation. Hierarchies and priorities can be implicit or explicit, prescribed, suggested or described. The paper starts, chronologically, wtih Nida and Levý’s hierarchical accounts of translation and follows their legacy in scholars as different as Newmark and Gutt. The concept of priorities is hinted at also in didactic models (Nord) as well as in norm-theoretical and accounts of translation (Toury and Chesterman) within Descriptive Translation Studies. All of these authors are analyzed and commented. The paper calls for a more systematic and straightforward account of translational priorities, and proposes a few conceptual tools that stem from this research model, including the concepts of ambition and richness of a translation. Finally, the paper concludes with an adaptation of Lakoff and Johnson’s view of prototypicality and its potential usefulness in research into and the understanding of translation.

Humour and translation, an interdiscipline

This paper calls for greater attention from researchers into the nature of humor translation as an interdisciplinary area that should be of interest to translation and humor studies. It includes a brief review of the complexity of translation and the problems posed by traditional approaches. The paper introduces a number of parameters that may be of assistance in developing joke typologies for translators or translation scholars. A model is presented for structuring joke-types according to binary branching. An attempt is then made to combine the model with ideas and concepts put forward in Attardo (2002). The result is a binary branch tree for the 6 Knowledge Resources and the hierarchical structure that Attardo claims they have. One important conclusion is that sameness, or similarity, may have little to do with funniness, and, if this is so, it is going to create a dilemma for translators wishing to achieve equivalent effect.

Networking of differentially expressed genes in human cancer cells resistant to methotrexate

BACKGROUND: The need for an integrated view of data obtained from high-throughput technologies gave rise to network analyses. These are especially useful to rationalize how external perturbations propagate through the expression of genes. To address this issue in the case of drug resistance, we constructed biological association networks of genes differentially expressed in cell lines resistant to methotrexate (MTX). METHODS: Seven cell lines representative of different types of cancer, including colon cancer (HT29 and Caco2), breast cancer (MCF-7 and MDA-MB-468), pancreatic cancer (MIA PaCa-2), erythroblastic leukemia (K562) and osteosarcoma (Saos-2), were used. The differential expression pattern between sensitive and MTX-resistant cells was determined by whole human genome microarrays and analyzed with the GeneSpring GX software package. Genes deregulated in common between the different cancer cell lines served to generate biological association networks using the Pathway Architect software. RESULTS: Dikkopf homolog-1 (DKK1) is a highly interconnected node in the network generated with genes in common between the two colon cancer cell lines, and functional validations of this target using small interfering RNAs (siRNAs) showed a chemosensitization toward MTX. Members of the UDP-glucuronosyltransferase 1A (UGT1A) family formed a network of genes differentially expressed in the two breast cancer cell lines. siRNA treatment against UGT1A also showed an increase in MTX sensitivity. Eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) was overexpressed among the pancreatic cancer, leukemia and osteosarcoma cell lines, and siRNA treatment against EEF1A1 produced a chemosensitization toward MTX. CONCLUSIONS: Biological association networks identified DKK1, UGT1As and EEF1A1 as important gene nodes in MTX-resistance. Treatments using siRNA technology against these three genes showed chemosensitization toward MTX.

Testing website usability in Spanish-Speaking Academia through heuristic evaluation and cognitive walkthroughs

Although usability evaluations have been focused on assessing different contexts of use, no proper specifications have been addressed towards the particular environment of academic websites in the Spanish-speaking context of use. Considering that this context involves hundreds of millions of potential users, the AIPO Association is running the UsabAIPO Project. The ultimate goal is to promote an adequate translation of international standards, methods and ideal values related to usability in order to adapt them to diverse Spanish-related contexts of use. This article presents the main statistical results coming from the Second and Third Stages of the UsabAIPO Project, where the UsabAIPO Heuristic method (based on Heuristic Evaluation techniques) and seven Cognitive Walkthroughs were performed over 69 university websites. The planning and execution of the UsabAIPO Heuristic method and the Cognitive Walkthroughs, the definition of two usability metrics, as well as the outline of the UsabAIPO Heuristic Management System prototype are also sketched.

Fluence plays a critical role on the subsequent distribution of chemotherapy and tumor growth delay in murine mesothelioma xenografts pre-treated by photodynamic therapy.

BACKGROUND: The pre-conditioning of tumor vessels by low-dose photodynamic therapy (L-PDT) was shown to enhance the distribution of chemotherapy in different tumor types. However, how light dose affects drug distribution and tumor response is unknown. Here we determined the effect of L-PDT fluence on vascular transport in human mesothelioma xenografts. The best L-PDT conditions regarding drug transport were then combined with Lipoplatin(®) to determine tumor response. in vivo. Lasers Surg. Med. 47:323-330, 2015. © 2015 Wiley Periodicals, Inc. METHODS: Nude mice bearing dorsal skinfold chambers were implanted with H-Meso1 cells. Tumors were treated by Visudyne(®) -mediated photodynamic therapy with 100 mW/cm(2) fluence rate and a variable fluence (5, 10, 30, and 50 J/cm(2) ). FITC-Dextran (FITC-D) distribution was assessed in real time in tumor and normal tissues. Tumor response was then determined with best L-PDT conditions combined to Lipoplatin(®) and compared to controls in luciferase expressing H-Meso1 tumors by size and whole body bioluminescence assessment (n = 7/group). RESULTS: Tumor uptake of FITC-D following L-PDT was significantly enhanced by 10-fold in the 10 J/cm(2) but not in the 5, 30, and 50 J/cm(2) groups compared to controls. Normal surrounding tissue uptake of FITC-D following L-PDT was significantly enhanced in the 30 J/cm(2) and 50 J/cm(2) groups compared to controls. Altogether, the FITC-D tumor to normal tissue ratio was significantly higher in the 10 J/cm(2) group compared others. Tumor growth was significantly delayed in animals treated by 10 J/cm2-L-PDT combined to Lipoplatin(®) compared to controls. CONCLUSIONS: Fluence of L-PDT is critical for the optimal distribution and effect of subsequently administered chemotherapy. These findings have an importance for the clinical translation of the vascular L-PDT concept in the clinics. Lasers Surg. Med. 47:323-330, 2015.

Moment Operators of Observables in Quantum Mechanics, with Applications to Quantization and Homodyne Detection

The questions studied in this thesis are centered around the moment operators of a quantum observable, the latter being represented by a normalized positive operator measure. The moment operators of an observable are physically relevant, in the sense that these operators give, as averages, the moments of the outcome statistics for the measurement of the observable. The main questions under consideration in this work arise from the fact that, unlike a projection valued observable of the von Neumann formulation, a general positive operator measure cannot be characterized by its first moment operator. The possibility of characterizing certain observables by also involving higher moment operators is investigated and utilized in three different cases: a characterization of projection valued measures among all the observables is given, a quantization scheme for unbounded classical variables using translation covariant phase space operator measures is presented, and, finally, a mathematically rigorous description is obtained for the measurements of rotated quadratures and phase space observables via the high amplitude limit in the balanced homodyne and eight-port homodyne detectors, respectively. In addition, the structure of the covariant phase space operator measures, which is essential for the above quantization, is analyzed in detail in the context of a (not necessarily unimodular) locally compact group as the phase space.

Functional error modeling for uncertainty quantification in hydrogeology

Approximate models (proxies) can be employed to reduce the computational costs of estimating uncertainty. The price to pay is that the approximations introduced by the proxy model can lead to a biased estimation. To avoid this problem and ensure a reliable uncertainty quantification, we propose to combine functional data analysis and machine learning to build error models that allow us to obtain an accurate prediction of the exact response without solving the exact model for all realizations. We build the relationship between proxy and exact model on a learning set of geostatistical realizations for which both exact and approximate solvers are run. Functional principal components analysis (FPCA) is used to investigate the variability in the two sets of curves and reduce the dimensionality of the problem while maximizing the retained information. Once obtained, the error model can be used to predict the exact response of any realization on the basis of the sole proxy response. This methodology is purpose-oriented as the error model is constructed directly for the quantity of interest, rather than for the state of the system. Also, the dimensionality reduction performed by FPCA allows a diagnostic of the quality of the error model to assess the informativeness of the learning set and the fidelity of the proxy to the exact model. The possibility of obtaining a prediction of the exact response for any newly generated realization suggests that the methodology can be effectively used beyond the context of uncertainty quantification, in particular for Bayesian inference and optimization.