Identification of research trends in the field of separation processes. Application of epidemiological model, citation analysis, text mining, and technical analysis of the financial markets

Choice of industrial development options and the relevant allocation of the research funds become more and more difficult because of the increasing R&D costs and pressure for shorter development period. Forecast of the research progress is based on the analysis of the publications activity in the field of interest as well as on the dynamics of its change. Moreover, allocation of funds is hindered by exponential growth in the number of publications and patents. Thematic clusters become more and more difficult to identify, and their evolution hard to follow. The existing approaches of research field structuring and identification of its development are very limited. They do not identify the thematic clusters with adequate precision while the identified trends are often ambiguous. Therefore, there is a clear need to develop methods and tools, which are able to identify developing fields of research. The main objective of this Thesis is to develop tools and methods helping in the identification of the promising research topics in the field of separation processes. Two structuring methods as well as three approaches for identification of the development trends have been proposed. The proposed methods have been applied to the analysis of the research on distillation and filtration. The results show that the developed methods are universal and could be used to study of the various fields of research. The identified thematic clusters and the forecasted trends of their development have been confirmed in almost all tested cases. It proves the universality of the proposed methods. The results allow for identification of the fast-growing scientific fields as well as the topics characterized by stagnant or diminishing research activity.

The impact of a training program in phonological awareness on children's early writing

This study examined the effects that a training program in phonological awareness had on the early writing skills of children in a Grade One class in the Lincoln County Separate school system. The intent of the training program was to provide consistent and systematic practice in the manipulation of the phonological structure of language. The games and activities of the training program were related to a framework of developmental phonological skills and practised in a group setting during an unstructured period of the regular classroom schedule. The training program operated three days in a six-day cycle for approximately twenty minutes a day, from November until mid-March. All children were tested at the outset and conclusion of the study to determine level of functioning in letter identification, word recognition, verbal intelligence, phonological awareness and spelling. Results of the pre-tests and post-tests were compared to determine differences between the experimental and control groups over time. In addition, a systematic analysis of the children's writing looked at the development of the spelling of regular and irregular words. The results of this study provided strong support for the hypothesis that the treatment group would progress through the stages of early writing development more quickly than children without such training. On the basis of differences between the groups over time, it was evident that training in phonological awareness had a direct positive effect on the spelling of regular words for children during the early stages of writing. The training program did not have a significant effect on the spelling of irregular words. Test results evaluating phonological awareness indicated a significant difference within each group over time but no significance between the groups during the experimental period. It would appear that the results of these tests reflect maturational changes in the child rather than causal effects of the training program. Nor did the effects of the training program transfer significantly to other aspects of language. Although some of the hypotheses considered were not supported by the study, the results do indicate that children during the early stages of writing development can benefit from a training program in phonological awareness. The theoretical direction for effective programming as a result of this study is discussed. The educational implications of training phonological awareness concurrent to beginning efforts in writing are considered.

Localization of monoterpenoid indole alkaloid (MIA) biosynthesis by in situ hybridization (ISH)

Monoterpenoid indole alkaloids (MIA) are among the largest and most complex group of nitrogen containing secondary metabolites that are characteristic of the Apocynaceae plant family including the most notable Catharanthus roseus. These compounds have demonstrated activity as successful drugs for treating various cancers, neurological disorders and cardiovascular conditions. Due to the low yields of these compounds and high pharmacological value, their biosynthesis is a major topic of study. Previous work highlighting the leaf epidermis and leaf surface as a highly active area in MIA biosynthesis and MIA accumulation has made the epidermis a major focus of this thesis. This thesis provides an in-depth analysis of the valuable technique of RNA in situ hybridization (ISH) and demonstrates the application of the technique to analyze the location of the biosynthetic steps involved in the production of MIAs. The work presented in this thesis demonstrates that most of the MIAs of Eurasian Vinca minor, African Tabernaemontana e/egans and five Amsonia species, including North American Amsonia hubrichitii and Mediterranean A. orienta/is, accumulate in leaf wax exudates, while the rest of the leaf is almost devoid of alkaloids. Biochemical studies on Vinca minor displayed high tryptophan decarboxylase (TOe) enzyme activity and protein expression in the leaf epidermis compared to whole leaves. ISH studies aimed at localizing TOe and strictosidine synthase suggest the upper and lower epidermis of V. minor and T. e/egans as probable significant production sites for MIAs that will accumulate on the leaf surface, however the results don't eliminate the possibility of the involvement of other cell types. The monoterpenoid precursor to all MIAs, secologanin, is produced through the MEP pathway occurring in two cell types, the IPAP cells (Gl0H) and epidermal cells (LAMT and SLS). The work presented in this thesis, localizes a novel enzymatic step, UDPG-7-deoxyloganetic acid glucosyltransferase (UGT8) to the IPAP cells of Catharanthus longifolius. These results enable the suggestion that all steps from Gl0H up to and including UGT8 occur in the IPAP cells of the leaf, making the IPAP cells the main site for the majority of secologanin biosynthesis. It also makes the IPAP cells a likely cell type to begin searching for the gene of the uncharacterized steps between Gl0H and UGT8. It also narrows the compound to be transported from the IPAP cells to either 7-deoxyloganic acid or loganic acid, which aids in the identification of the transportation mechanism.

The antecedents to participation in learning activities among support staff at a college in Ontario

Les tendances de la participation à la formation des adultes au Canada n’ont pas évolué depuis des décennies, malgré les nouvelles influences économiques qui ont stimulé l’augmentation et la diversification permanente de la formation des employés et malgré les initiatives plus nombreuses en faveur de l’apprentissage des employés en milieu de travail. Il est donc nécessaire de ne plus se contenter d’étudier les prédicteurs de la formation déjà connus dans les profils des employés et des employeurs. Il est, en revanche, indispensable d’étudier les antécédents de la participation des employés à la formation, y compris les aspects et les étapes du processus qui la précède. Cette étude porte sur les antécédents de la participation des employés aux formations dans un important collège communautaire urbain en Ontario. Afin de préparer le recueil des données, un cadre théorique a été élaboré à partir du concept d’expression de la demande. Ce cadre implique l’existence d’un processus qui comporte plusieurs étapes, au cours desquelles plusieurs intervenants interagissent et dont la formation est susceptible d’être le résultat. Les résultats de l’enquête sur le profil d’apprentissage ont permis de conclure que le comportement des employés et de l’employeur est conforme aux modèles de prédicteurs existants et que les taux et les types de participation étaient similaires aux tendances nationales et internationales. L’analyse des entrevues d’un groupe d’employés atypiques, de leurs superviseurs, ainsi que de représentants du collège et du syndicat, a révélé d’importants thèmes clés : l’expression de la demande n’est pas structurée et elle est communiquée par plusieurs canaux, en excluant parfois les superviseurs. De plus, la place de l’auto évaluation est importante, ainsi que la phase de prise de décision. Ces thèmes ont souligné l’interaction de plusieurs intervenants dans le processus d’expression de la demande d’apprentissage et pendant la prise de décision. L’examen des attentes de chacun de ces intervenants au cours de ce processus nous a permis de découvrir un désir tacite chez les superviseurs et les employés, à savoir que la conversation soit à l’initiative de « l’autre ». Ces thèmes clés ont été ensuite abordés dans une discussion qui a révélé une discordance entre le profil de l’employeur et les profils des employés. Celle-ci se prête à la correction par l’employeur de son profil institutionnel pour l’harmoniser avec le profil dispositionnel des employés et optimiser ainsi vraisemblablement son offre de formation. Ils doivent, pour cela, appliquer un processus plus systématique et plus structuré, doté de meilleurs outils. La discussion a porté finalement sur les effets des motivations économiques sur la participation des employés et a permis de conclure que, bien que les employés ne semblent pas se méfier de l’offre de formation de l’employeur et que celle ci ne semble pas non plus les décourager, des questions de pouvoir sont bel et bien en jeu. Elles se sont principalement manifestées pendant le processus de prise de décision et, à cet égard, les superviseurs comme les employés reconnaissent qu’un processus plus structuré serait bénéfique, puisqu’il atténuerait les problèmes d’asymétrie et d’ambiguïté. Les constatations de cette étude sont pertinentes pour le secteur de la formation des adultes et de la formation en milieu de travail et, plus particulièrement, pour la méthodologie de recherche. Nous avons constaté l’avantage d’une méthodologie à deux volets, à l’écoute de l’employeur et des employés, afin de mieux comprendre la relation entre l’offre de formation et la participation à la formation. La définition des antécédents de la participation sous la forme d’un processus dans lequel plusieurs intervenants remplissent plusieurs rôles a permis de créer un modèle plus détaillé qui servira à la recherche future. Ce dernier a démontré qu’il est indispensable de reconnaître que la prise de décision constitue une étape à part entière, située entre l’expression de la demande et la participation à la formation. Ces constatations ont également révélé qu’il est véritablement indispensable que le secteur de la formation des adultes continue à traiter les questions reliées à la reconnaissance de la formation informelle. Ces conclusions et la discussion sur les constatations clés nous ont inspiré des recommandations à appliquer pour modifier les retombées du processus précédant la participation des employés à la formation. La majorité de ces recommandations ont trait à l’infrastructure de ce processus et ciblent donc principalement l’employeur. Certaines recommandations sont cependant destinées aux syndicats, aux superviseurs et aux employés qui peuvent aider l’employeur à remplir son rôle et favoriser la participation efficace de tous à ce processus. Les recommandations qui précédent impliquent que ce sont les antécédents de la formation qui gagneraient à être plus structurés et non la formation elle même. La structuration de l’infrastructure de l’apprentissage présente cependant des risques à elle seule. En liaison avec ce phénomène, une étude spécifique des effets de la nature, de la qualité et de l’asymétrie de la relation superviseur employé sur la participation des employés à la formation serait bénéfique. Mots clés : formation en entreprise, formation professionnelle continue, antécédents à la participation, employés de soutien

Partial disjoint path for multi-layer protection in GMPLS networks

In this paper, different recovery methods applied at different network layers and time scales are used in order to enhance the network reliability. Each layer deploys its own fault management methods. However, current recovery methods are applied to only a specific layer. New protection schemes, based on the proposed partial disjoint path algorithm, are defined in order to avoid protection duplications in a multi-layer scenario. The new protection schemes also encompass shared segment backup computation and shared risk link group identification. A complete set of experiments proves the efficiency of the proposed methods in relation with previous ones, in terms of resources used to protect the network, the failure recovery time and the request rejection ratio

Identification of plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden markov models

Background: This study describes a bioinformatics approach designed to identify Plasmodium vivax proteins potentially involved in reticulocyte invasion. Specifically, different protein training sets were built and tuned based on different biological parameters, such as experimental evidence of secretion and/or involvement in invasion-related processes. A profile-based sequence method supported by hidden Markov models (HMMs) was then used to build classifiers to search for biologically-related proteins. The transcriptional profile of the P. vivax intra-erythrocyte developmental cycle was then screened using these classifiers. Results: A bioinformatics methodology for identifying potentially secreted P. vivax proteins was designed using sequence redundancy reduction and probabilistic profiles. This methodology led to identifying a set of 45 proteins that are potentially secreted during the P. vivax intra-erythrocyte development cycle and could be involved in cell invasion. Thirteen of the 45 proteins have already been described as vaccine candidates; there is experimental evidence of protein expression for 7 of the 32 remaining ones, while no previous studies of expression, function or immunology have been carried out for the additional 25. Conclusions: The results support the idea that probabilistic techniques like profile HMMs improve similarity searches. Also, different adjustments such as sequence redundancy reduction using Pisces or Cd-Hit allowed data clustering based on rational reproducible measurements. This kind of approach for selecting proteins with specific functions is highly important for supporting large-scale analyses that could aid in the identification of genes encoding potential new target antigens for vaccine development and drug design. The present study has led to targeting 32 proteins for further testing regarding their ability to induce protective immune responses against P. vivax malaria.

Isolation and characterization of an AINTEGUMENTA-like gene in different coconut (Cocos nucifera L.) varieties from Sri Lanka

Development of an efficient tissue culture protocol in coconut is hampered by numerous technical constraints. Thus a greater understanding of the fundamental aspects of embryogenesis is essential. The role of AINTEGUMENTA-like genes in embryogenesis has been elucidated not only in model plants but also in economically important crops. A coconut gene, CnANT, that encodes two APETALA2 (AP2) domains and a conserved linker region similar to those of the BABY BOOM transcription factor was cloned, characterized, and its tissue specific expression was examined. The full-length cDNA of 1,780 bp contains a 1,425-bp open reading frame that encodes a putative peptide of 474 amino acids. The genomic DNA sequence includes 2,317 bp and consists of nine exons interrupted by eight introns. The exon/intron organization of CnANT is similar to that of homologous genes in other plant species. Analysis of differential tissue expression by real-time polymerase chain reaction indicated that CnANT is expressed more highly in in vitro grown tissues than in other vegetative tissues. Sequence comparison of the genomic sequence of CnANT in different coconut varieties revealed one single nucleotide polymorphism and one indel in the first exon and first intron, respectively, which differentiate the Tall group of trees from Dwarfs. The indel sequence, which can be considered a simple sequence repeats marker, was successfully used to distinguish the Tall and Dwarf groups as well as to develop a marker system, which may be of value in the identification of parental varieties that are used in coconut breeding programs in Sri Lanka.

Identification of lubricant contamination by biodiesel using vibration analysis and neural network

Purpose - The purpose of this paper is to provide information on lubricant contamination by biodiesel using vibration and neural network.Design/methodology/approach - The possible contamination of lubricants is verified by analyzing the vibration and neural network of a bench test under determinated conditions.Findings - Results have shown that classical signal analysis methods could not reveal any correlation between the signal and the presence of contamination, or contamination grade. on other hand, the use of probabilistic neural network (PNN) was very successful in the identification and classification of contamination and its grade.Research limitations/implications - This study was done for some specific kinds of biodiesel. Other types of biodiesel could be analyzed.Practical implications Contamination information is presented in the vibration signal, even if it is not evident by classical vibration analysis. In addition, the use of PNN gives a relatively simple and easy-to-use detection tool with good confidence. The training process is fast, and allows implementation of an adaptive training algorithm.Originality/value - This research could be extended to an internal combustion engine in order to verify a possible contamination by biodiesel.

Disparity between Multilocus Enzyme Electrophoresis, Microsatellite Markers and Pulsed-Field Gel Electrophoresis in epidemiological tracking of Candida albicans

Various molecular systems are available for epidemiological, genetic, evolutionary, taxonomic and systematic studies of innumerable fungal infections, especially those caused by the opportunistic pathogen C. albicans. A total of 75 independent oral isolates were selected in order to compare Multilocus Enzyme Electrophoresis (MLEE), Electrophoretic Karyotyping (EK) and Microsatellite Markers (Simple Sequence Repeats - SSRs), in their abilities to differentiate and group C. albicans isolates (discriminatory power), and also, to evaluate the concordance and similarity of the groups of strains determined by cluster analysis for each fingerprinting method. Isoenzyme typing was performed using eleven enzyme systems: Adh, Sdh, M1p, Mdh, Idh, Gdh, G6pdh, Asd, Cat, Po, and Lap (data previously published). The EK method consisted of chromosomal DNA separation by pulsed-field gel electrophoresis using a CHEF system. The microsatellite markers were investigated by PCR using three polymorphic loci: EF3, CDC3, and HIS3. Dendrograms were generated by the SAHN method and UPGMA algorithm based on similarity matrices (S(SM)). The discriminatory power of the three methods was over 95%, however a paired analysis among them showed a parity of 19.7-22.4% in the identification of strains. Weak correlation was also observed among the genetic similarity matrices (S(SM)(MLEE) x S(SM)(EK) x S(SM)(SSRs)). Clustering analyses showed a mean of 9 +/- 12.4 isolates per cluster (3.8 +/- 8 isolates/taxon) for MLEE, 6.2 +/- 4.9 isolates per cluster (4 +/- 4.5 isolates/taxon) for SSRs, and 4.1 +/- 2.3 isolates per cluster (2.6 +/- 2.3 isolates/taxon) for EK. A total of 45 (13%), 39(11.2%), 5 (1.4%) and 3 (0.9%) clusters pairs from 347 showed similarity (Si) of 0.1-10%, 10.1-20%, 20.1-30% and 30.1-40%, respectively. Clinical and molecular epidemiological correlation involving the opportunistic pathogen C. albicans may be attributed dependently of each method of genotyping (i.e., MLEE, EK, and SSRs) supplemented with similarity and grouping analysis. Therefore, the use of genotyping systems that give results which offer minimum disparity, or the combination of the results of these systems, can provide greater security and consistency in the determination of strains and their genetic relationships. (C) 2010 Elsevier B.V. All rights reserved.

Automatic identification by C-13 NMR of substituent groups bonded in natural product skeletons

The aim of this paper is to present a procedure that utilizes C-13 NMR for identification of substituent groups which are bonded to carbon skeletons of natural products. For so much was developed a new version of the program (MACRONO), that presents a database with 161 substituent types found in the most varied terpenoids. This new version was widely tested in the identification of the substituents of 60 compounds that, after removal of the signals that did not belong to the carbon skeleton, served to test the prediction of skeletons by using other programs of the expert system (SISTEMAT). (C) 2002 Elsevier B.V. Ltd. All rights reserved.

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

This work presents an investigation into the use of the finite element method and artificial neural networks in the identification of defects in industrial plants metallic tubes, due to the aggressive actions of the fluids contained by them, and/or atmospheric agents. The methodology used in this study consists of simulating a very large number of defects in a metallic tube, using the finite element method. Both variations in width and height of the defects are considered. Then, the obtained results are used to generate a set of vectors for the training of a perceptron multilayer artificial neural network. Finally, the obtained neural network is used to classify a group of new defects, simulated by the finite element method, but that do not belong to the original dataset. The reached results demonstrate the efficiency of the proposed approach, and encourage future works on this subject.

First chromosome characterization in the neotropical eel, Gymnothorax ocellatus (Pisces, Muraenidae)

Cytogenetics studies in 12 specimens of Gymnothorax ocellatus reveled a diploid chromosome number of 2n=42 (16 metacentrics, 18 submetacentrics and 8 acrocentrics). The nucleolar organizer regions were located in a terminal position on the long arm of the chromosome pair number fifteen. Conspicuous blocks of constitutive heterochromatin were observed in the centromeric and pericentromeric regions of some chromosome pairs. The results obtained are similar to those previously described for others species of this family. However, the cytogenetic informations may be useful in the identification of a possible variety of this species in Brazilian coast and contribute to the understanding of relationships among the species and the process of diversification which occurred in this group. © 2005 The Japan Mendel Society.

Identification of structural damage in flexible structures using system norm and neural networks

Nowadays there is great interest in damage identification using non destructive tests. Predictive maintenance is one of the most important techniques that are based on analysis of vibrations and it consists basically of monitoring the condition of structures or machines. A complete procedure should be able to detect the damage, to foresee the probable time of occurrence and to diagnosis the type of fault in order to plan the maintenance operation in a convenient form and occasion. In practical problems, it is frequent the necessity of getting the solution of non linear equations. These processes have been studied for a long time due to its great utility. Among the methods, there are different approaches, as for instance numerical methods (classic), intelligent methods (artificial neural networks), evolutions methods (genetic algorithms), and others. The characterization of damages, for better agreement, can be classified by levels. A new one uses seven levels of classification: detect the existence of the damage; detect and locate the damage; detect, locate and quantify the damages; predict the equipment's working life; auto-diagnoses; control for auto structural repair; and system of simultaneous control and monitoring. The neural networks are computational models or systems for information processing that, in a general way, can be thought as a device black box that accepts an input and produces an output. Artificial neural nets (ANN) are based on the biological neural nets and possess habilities for identification of functions and classification of standards. In this paper a methodology for structural damages location is presented. This procedure can be divided on two phases. The first one uses norms of systems to localize the damage positions. The second one uses ANN to quantify the severity of the damage. The paper concludes with a numerical application in a beam like structure with five cases of structural damages with different levels of severities. The results show the applicability of the presented methodology. A great advantage is the possibility of to apply this approach for identification of simultaneous damages.

Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees

Plant phenology is one of the most reliable indicators of species responses to global climate change, motivating the development of new technologies for phenological monitoring. Digital cameras or near remote systems have been efficiently applied as multi-channel imaging sensors, where leaf color information is extracted from the RGB (Red, Green, and Blue) color channels, and the changes in green levels are used to infer leafing patterns of plant species. In this scenario, texture information is a great ally for image analysis that has been little used in phenology studies. We monitored leaf-changing patterns of Cerrado savanna vegetation by taking daily digital images. We extract RGB channels from the digital images and correlate them with phenological changes. Additionally, we benefit from the inclusion of textural metrics for quantifying spatial heterogeneity. Our first goals are: (1) to test if color change information is able to characterize the phenological pattern of a group of species; (2) to test if the temporal variation in image texture is useful to distinguish plant species; and (3) to test if individuals from the same species may be automatically identified using digital images. In this paper, we present a machine learning approach based on multiscale classifiers to detect phenological patterns in the digital images. Our results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; (2) different plant species present a different behavior with respect to the color change information; and (3) texture variation along temporal images is promising information for capturing phenological patterns. Based on those results, we suggest that individuals from the same species and functional group might be identified using digital images, and introduce a new tool to help phenology experts in the identification of new individuals from the same species in the image and their location on the ground. © 2013 Elsevier B.V. All rights reserved.

Análise morfológica in vitro da ação de antifúngicos em cepas de Fonsecaea pedrosoi

A cromoblatomicose (CBM) é uma doença causada por implantação transcutânea de várias espécies de fungos melanizados. O estado do Pará é a principal área endêmica do país, sendo Fonsecaea pedrosoi o principal agente etiológico. O tratamento desta doença não é padronizado e diversas formas de intervenção são relatadas na literatura. Por outro lado, os testes de susceptibilidade in vitro aos fármacos antifúngicos podem ajudar na escolha do esquema terapêutico e na identificação de cepas resistentes. Este trabalho tem como objetivo avaliar a susceptibilidade in vitro ao itraconazol (ITZ), ao cetoconazol, (CTZ), ao fluconazol (FCZ) e a terbinafina (TBF) em 20 isolados clínicos de Fonsecaea pedrosoi, bem como as possíveis alterações morfológicas induzidas por ITZ ou TBF na Concentração Inibitória Mínima (CIM) e em altas concentrações. Os testes de susceptibilidade foram conduzidos de acordo com as recomendações do Clinical and Laboratory Standards Institute (CLSI, documento M38-A2). As concentrações finais de ITZ, TBF e CTZ em cada teste variaram de 16 a 0.03 μg/mL e de 64 a 0.125 μg/mL para o FCZ. A CIM para cada fármaco utilizado foi obtida após cinco dias de incubação a 30°C, sendo definida como a mínima concentração do fármaco capaz de reduzir em 100% o crescimento visual do fungo quando comparado com o grupo controle. O ITZ demonstrou ser o fármaco mais efetivo in vitro contra conídios de F. pedrosoi (CIM ₉₀= 1μg/mL). A TBF apresentou baixa atividade in vitro, com 70% das cepas apresentando CIM ≥ 0.5 μg/mL. Quando se analisa morfologicamente os conídios tratados com a CIM para ITZ observa-se um aumento no diâmetro celular, a presença de conídios em processo de divisão e formação de pequenas cadeias. Na maior concentração do teste de susceptibilidade (16 μg/mL) observou-se a irregularidade no contorno celular, o desprendimento de material pigmentado da parede celular e a vacuolização. Em 32 μg/mL e 64 μg/mL notou-se a ruptura da parede celular e conídos amorfos. Não foram observadas - em nenhuma das concentrações analisadas - alterações morfológicas significativas induzidas pela TBF. Além disso, a 5-Fluorocitosina (5-FC) e o FCZ não impediram o crescimento dos conídios, mesmo em altas concentrações. No entanto, alterações ultraestruturais foram notadas após tratamento com 5-FC 64 μg/mL. Portanto, sugere-se um comportamento morfológico diferente de conídios frente ao ITZ ou TBF durante os testes de susceptibilidade in vitro. Em síntese, dentre os fármacos estudados, ITZ apresentou a melhor atividade antifúngica in vitro, enquanto a 5-FC somente provocou alterações estruturais em hifas e conídios na mais alta concentração utilizada no estudo.