Relevant bibliographies by topics / D-cluster

Academic literature on the topic 'D-cluster'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "D-cluster"

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KIM, Y. E., R. A. RICE, G. S. CHULICK, and M. RABINOWITZ. "CLUSTER-IMPACT FUSION WITH CLUSTER BEAMS." Modern Physics Letters A 06, no. 25 (August 20, 1991): 2259–70. http://dx.doi.org/10.1142/s0217732391002657.

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Recent experiments in which beams of D 2 O clusters impact on deuterated targets have been observed to produce higher than expected deuterium-deuterium ( D - D ) fusion rates, whereas similar experiments with pure D clusters produced no observable D - D fusion. We present a theoretical model capable of explaining these apparently conflicting experimental results. Our calculations indicate that heavy atoms such as O in the cluster, and Ti, Zr, or C in the target are essential for obtaining high fusion rates and D energy enhancement by double Rutherford backscattering in the experiments as conducted. We predict the conditions for obtaining comparable yields from D , D 2 O , and H 2 O clusters and propose a set of experimental tests.
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Zhou, Yu, and Bin Zhu. "Cluster combinatorics of d-cluster categories." Journal of Algebra 321, no. 10 (May 2009): 2898–915. http://dx.doi.org/10.1016/j.jalgebra.2009.01.032.

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Adsul, Hemant, and Bachubhai Monpara. "Genetic divergence analysis in indigenously developed Indian soybean (Glycine max L. Merrill) germplasm." Genetika 46, no. 2 (2014): 401–9. http://dx.doi.org/10.2298/gensr1402401a.

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Knowledge of the naturally occurring diversity helps to identify diverse groups of soybean genotypes that can be useful for the breeding program. Therefore, this study aims to identify traits that influence the soybean genotypes in cluster formation using D2 analysis. Hundred genotypes of soybean were studied for 15 characters in randomized block design with three replications and grouped into fifteen clusters. The cluster I was the largest with 55 genotypes followed by cluster III containing 17 genotypes and cluster IV containing 16 genotypes. The remaining clusters were solitary with single genotype each. The inter-cluster distance was the highest between clusters XIII and XIV (D=38.28) followed by clusters X and XII (D=33.64), XIII and XIV (D=32.71), III and XIV (D=32.06) and XII and XIV (D=31.65). Genotypes falling in these clusters may serve as potential parents for a hybridization programme. Pods per plant contributed the highest in manifestation of total genetic diversity. The presence of clear phenotypic and genotypic differences in the characters under consideration between or among clusters gives us an opportunity to bring about improvement through hybridization of genotypes between these clusters and subsequent selection in the segregating generations. The genotype JS (SH) 131 of cluster XIV, J 606 of cluster X, JS 46-75 of cluster V and Himso 1548 of cluster XV were identified as genetically diverse parents, which can be utilized for future crop improvement programme.
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Cojic, Milena M., Aleksandra Klisic, Radivoj Kocic, Andrej Veljkovic, and Gordana Kocic. "Data-Driven Cluster Analysis of Oxidative Stress Indexes in relation to Vitamin D Level, Age, and Metabolic Control in Patients with Type 2 Diabetes on Metformin Therapy." Oxidative Medicine and Cellular Longevity 2021 (June 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/7942716.

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Recent advances in vitamin D research indicate that patients with type 2 diabetes mellitus (T2DM) are suffering from vitamin D deficiency and increased oxidative stress to a variable extent, which could produce different health impacts for each individual. The novel multivariate statistical method applied in the present study allows metabolic phenotyping of T2DM individuals based on vitamin D status, metabolic control, and oxidative stress status in order to identify effectively different subtypes in our type 2 DM study population. Data-driven statistical cluster analysis was performed with 95 patients with T2DM, treated with metformin. Clusters were based on 12 variables—age, disease duration, vitamin D level, insulin, fasting glycemia (FG), glycated hemoglobin (HbA1c), high-density and low-density lipoprotein, total cholesterol (TC), triglycerides (TG), body mass index (BMI), and triglycerides/glucose index (TYG). The analysis revealed four unique clusters which differed significantly in terms of vitamin D status, with a mean 25 (OH) D level in cluster 1 ( 57.84 ± 11.46 nmol/L) and cluster 4 ( 53.78 ± 22.36 nmol/L), falling within the insufficiency range. Cluster 2 had the highest mean level of 25 (OH) D ( 84.55 ± 22.66 nmol/L), indicative of vitamin D sufficiency. Cluster 3 had a mean vitamin D level below 50 nmol/L ( 49.27 ± 16.95 ), which is considered deficient. Patients in the vitamin D sufficient cluster had a significantly better glycemic and metabolic control as well as a lower level of lipid peroxidation compared to other clusters. The patients from the vitamin D sufficient cluster also had a significantly higher level of vitamin D/MPO, vitamin D/XO, vitamin D/MDA, vitamin D/CAT, and vitamin D/TRC than that in the vitamin deficient and insufficient clusters. The vitamin D deficient cluster included significantly younger patients and had a significantly lower level of AOPP/TRC and albumin/TRC than the vitamin D sufficient cluster. The evidence from our cluster analysis in the context of separated T2DM demonstrates beneficial effects of optimal vitamin D status on metabolic control and oxidative stress in T2DM patients. Older T2DM patients require higher vitamin D levels in order to achieve good metabolic control and favorable antioxidant protection. Since protein damage is more pronounced in these patients, adding water-soluble antioxidant in addition to higher doses of vitamin D should be considered.
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Pereira, Katily Luize Garcia, Daniela Aparecida de Castro Nizio, Paulo Cesar Nogueira de Lima, Roberta Pereira Miranda Fernandes, Maria de Fatima Arrigoni-Blank, Jose Carlos Freitas de Sá Filho, Luis Fernando de Andrade Nascimento, Vinicius Trindade de Souza, Kleiton Paulo Silva, and Arie Fitzgerald Blank. "Seasonal variance in the chemical composition of essential oils from Lantana camaraaccessions and their trypanocidal activity on Phytomonas serpens." Boletin Latinoamericano y del Caribe de Plantas Medicinales y Aromaticas 21, no. 6 (November 30, 2022): 737–56. http://dx.doi.org/10.37360/blacpma.22.21.6.45.

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The objective of this study was to investigate the seasonal variance of the content and chemical composition of the essential oil from Lantana camaraaccessions at two harvest times, and to analyze the trypanocidal activity on Phytomonas serpens. Essential oil content ranged from 0.13 to 0.29% in the rainy season and from 0.13 to 0.33% in the dryseason. The compounds E-caryophyllene, α-humulene, α-curcumene and germacrene D defined the formation of four chemical clusters in the rainy and dry seasons, classified as: Cluster 1 (E-caryophyllene + germacrene D); Cluster 2 (germacrene D + E-caryophyllene); Cluster 3 (α-humulene + E-caryophyllene); and Cluster 4 (α-curcumene + E-caryophyllene). All L. camaraessential oils, representing the four chemical clusters, inhibited P. serpenswith low concentrations, considering the following IC50values: 18.34±6.60 μg/mL (LAC-018, Cluster 1); 9.14±3.87 μg/mL (LAC-027, Cluster 2); 14.56±3.40 μg/mL (LAC-037, Cluster 3); and 14.97±2.68 μg/mL (LAC-019, Cluster 4).
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Cong, Rui, and Hailong Wang. "Prediction of Evolution and Development Trend in Sports Industry Cluster Based on Particle Swarm Optimization." Scientific Programming 2021 (December 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/7607623.

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Sports industry cluster refers to the economic phenomenon that sports related enterprises gather in a large number in a specific area. For the sports enterprises in the cluster, they can obtain huge competitive advantages through enterprise agglomeration, thus obtaining better development and rich economic benefits. The optimization of particle swarm optimization is interlinked with the agglomeration of industrial clusters. Therefore, in view of the limitation of the standard particle swarm optimization (PSO) algorithm, an improved particle swarm optimization algorithm-diaphragm particle swarm optimization (D-PSO) was proposed and used to simulate the formation of sports industry clusters. D-PSO introduces the cell membrane processing mechanism of the biological system into the PSO algorithm, which improves the ability of the PSO algorithm to get rid of local extremum points. The competitiveness value of the sports industry cluster is the value of the objective function solved by the D-PSO algorithm. The geographical coordinates of the industrial cluster were the locations in the particle search space of the D-PSO algorithm. The D-PSO algorithm is used to simulate the aggregation process of enterprises in the cluster. Compared with the standard PSO, the D-PSO algorithm has better convergence performance and optimal rate. The results of case analysis show that the proposed method can effectively predict the development trend of sports industrial clusters.
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Pilla, Ravi Thej, and Ethayaraja Mani. "Competing effects of rotational diffusivity and activity on finite-sized clusters." Journal of Physics: Condensed Matter 34, no. 24 (April 13, 2022): 245101. http://dx.doi.org/10.1088/1361-648x/ac6137.

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Abstract Colloidal particles interacting via short-range attraction and long-range repulsion are known to stabilize finite-sized clusters under equilibrium conditions. In this work, the effect of self-propulsion speed (activity) and rotational diffusivity (D r) on the phase behavior of such particles is investigated using Brownian dynamics simulations. The system exhibits rich phase behavior consisting of clusters of different kinds. The cluster size varies non-monotonically with activity: increasing first and decreasing at higher activity, thus driving cluster-to-fluid phase transition. Rotational diffusivity also facilitates the formation of clusters. Larger clusters could be stabilized at low D r values while at high D r values, clusters are stable even at higher activities. The analysis of the static structure factor of the system confirms that rotational diffusivity delays the cluster-to-fluid transition driven by activity.
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Zou, Teng, and Bin Zhu. "Finite Repetitive Generalized Cluster Complexes and d-Cluster Categories." Algebra Colloquium 20, no. 01 (January 16, 2013): 123–40. http://dx.doi.org/10.1142/s1005386713000114.

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For any positive integer n, we construct an n-repetitive generalized cluster complex (a simplicial complex) associated with a given finite root system by defining a compatibility degree on the n-repetitive set of the colored root system. This simplicial complex includes Fomin-Reading's generalized cluster complex as a special case when n=1. We also introduce the intermediate coverings (called generalized d-cluster categories) of d-cluster categories of hereditary algebras, and study the d-cluster tilting objects and their endomorphism algebras in those categories. In particular, we show that the endomorphism algebras of d-cluster tilting objects in the generalized d-cluster categories provide the (finite) coverings of the corresponding (usual) d-cluster tilted algebras. Moreover, we prove that the generalized d-cluster categories of hereditary algebras of finite representation type provide a category model for the n-repetitive generalized cluster complexes.
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KIM, Y. E., M. RABINOWITZ, G. S. CHULICK, and R. A. RICE. "THEORIES OF CLUSTER-IMPACT FUSION WITH ATOMIC AND MOLECULAR CLUSTER BEAMS." Modern Physics Letters B 05, no. 06 (March 10, 1991): 427–38. http://dx.doi.org/10.1142/s0217984991000502.

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Apparently disparate experimental results have been obtained for deuterium-deuterium (D-D) fusion products from the impact of atomic and molecular cluster beams on deuterated targets. Unexpectedly high fusion rates observed with beams of D 2 O clusters in the energy range 10–1000 eV per deuteron have been a formidable challenge to theoretical physics with previous attempts to explain these surprisingly high yields being unsuccessful. A further challenge exists because the resultant models also do not explain why fusion is not observed in similar experiments with beams of D clusters. We present a theory in which heavy atomic partners in the molecule play a vital role in producing the observed rates, and which can also explain the apparently conflicting experimental results.
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Gleason, J., D. Case, S. Rapp, E. Ip, M. Naughton, J. Butler, K. McMullen, V. Stieber, P. Saconn, and E. Shaw. "Symptom clusters in newly-diagnosed brain tumor patients." Journal of Clinical Oncology 24, no. 18_suppl (June 20, 2006): 8587. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.8587.

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8587 Background: A symptom cluster is 2 or more co-occurring symptoms. Patients with brain tumors experience disease and treatment-related symptoms that impact their health-related quality of life (QOL). Identifying symptom clusters will facilitate treatment and improve QOL outcomes. Methods: 66 patients were enrolled in a phase III, placebo-controlled, double-blind, prospective randomized clinical trial assessing the effect of prophylactic d-methylphenidate (d-MPH) on QOL in newly diagnosed brain tumor patients receiving brain radiation therapy (RT). Inclusion criteria were: age ≥ 13 years, primary or metastatic brain tumor, partial or whole brain RT with a total dose of ≥ 2,500 cGy in ≥ 10 fractions, KPS ≥ 70, and life expectancy ≥ 3 months. Patients received d-MPH 5–15 mg BID (or placebo) starting week 1 of RT and continuing for 8 weeks post-RT. QOL data were collected at baseline, the end of RT, and 4, 8, and 12 weeks following RT using the Functional Assessment of Cancer Therapy-Brain (FACT-Br) and the Center for Epidemiologic Studies Depression Scale (CES-D). Symptom data were analyzed using exploratory factor analysis, multi-dimensional scaling (MDS), and cluster analysis. Results: The study failed to show a treatment effect for d-MPH (Butler J et al, Int J Radiat Oncol Biol Physics 63 [Supp1]:80, 2005).Thus, both d-MPH and placebo patients were analyzed together. 58 and 48 patients were analyzed at baseline and the end of RT, respectively. Two symptom clusters were identified using exploratory factor analysis and supported by MDS and cluster analysis: an expressive language cluster including difficulty reading, writing, and finding the right words, and a mood cluster including feeling sad, anxious, and having depressed mood. Conclusions: Two symptom clusters were identified in patients undergoing brain RT: an expressive language cluster and a mood cluster. This suggests that interventions that target both cognitive function and mood should be utilized. Further research on symptom clusters in cancer patients is needed. This study was supported by NCI grant 1 U10 CA81851. No significant financial relationships to disclose.
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Dissertations / Theses on the topic "D-cluster"

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Persson, Westin Elin. "Tilting modules in d-cluster tilting subcategories." Thesis, Uppsala universitet, Algebra och geometri, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325539.

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Vidovic, Denis. "Polynukleare Cluster der d-Metalle mit chelatisierenden Liganden." Doctoral thesis, [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=97529962X.

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Vaso, Laertis. "d-cluster tilting modules over quotients of path algebras of type An." Thesis, Uppsala universitet, Algebra och geometri, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-254673.

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Rau, Stefan [Verfasser], and Simon D. M. [Akademischer Betreuer] White. "Gravitational lensing studies of galaxy cluster halos / Stefan Rau. Betreuer: Simon D. M. White." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2014. http://d-nb.info/1051776988/34.

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Sundqvist, Martina, and Natsinet Selemun. "A Study Comparing R&D Clusters in India." Thesis, Umeå universitet, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149779.

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Observed trends in R&D expenditures reveal that the quantity and geographical distribution of such investments has changed over the years. Multinational Enterprises (MNEs) are increasingly spending money on R&D investments, as they must continuously upgrade their processes, products and services for establishing long-term success in today’s increasingly competitive landscape. In the mist of this, MNEs from developed countries are increasingly making R&D investments in emerging markets. India and China has in this regard be termed “hotspots” and do today house several R&D clusters. Given the important role of R&D and the changing patterns of such investments,  the following thesis aims to address four related research gaps: (1) the limited understanding of how MNEs make location choices, (2) the limited recognition of the inherent differences between research and development oriented activities and how such differences impact location choices, (3) the relatively limited attention scholars have given India, although this country is attracting significant amounts of R&D investments, and (4) the limited understanding of how emerging markets differ on a sub-national level. Based on these issues, the following research question has been formulated: What are the differences and similarities between R&D city clusters in India, that are significant from a western R&D investment perspective?   The purpose of this research question is three-fold. It firstly serves to encourage the integration of International Business (IB) and Economic Geography (EG) literature for better understanding location choices for economic activities. Secondly, it serves to encourage researchers to acknowledge and take into account the inherent difference between research and development activities. And thirdly, it serves to highlight that regional variation exist in emerging markets on a sub-national level. A sub purpose of this is to encourage more research on India.   For addressing the research question in matter, this thesis has studied Bangalore and Gurgaon which are two growing clusters in India. They have been studied through a qualitative research methodology where interviews have been combined with secondary sources for understanding their differences and similarities, and subsequently their strengths and weaknesses from a research and development perspective respectively. By looking at factor-, demand-, industry-, firm rivalry- , network- and policy conditions, it has been found that several areas of similarities and differences exist between the two clusters. In regards to similarities, both have similar levels of costs in terms of human capital; both cities receive support from the national government and both cities largely serve customers across the world, including India, and do thus both provide environments where there is to some degree a pressure from sophisticated demand conditions to be more innovative. In regards to differences, Bangalore has relatively more talented human capital available; Bangalore is dominated by the IT industry whereas Gurgaon is not clearly dominated by a single industry; Bangalore has more proactive support from its local policy makers; Bangalore has more local network linkages whilst Gurgaon has more global network linkages; and lastly, Gurgaon has more local rivalry. Based on these similarities and differences, it has been argued that Gurgaon is a relatively better location for both research and development oriented R&D investments from a telecom industry perspective.   Essentially strong enough evidence for the identified similarities and differences has not always been found due to limited data. They are nevertheless indications of regional variations that could serve as a basis for future research to have a closer look at. As indications of similarities and differences that affect the location choice of research and development activities differently has been found - using an approach integrating insights from IB and EG - this paper has served its purpose in terms of encouraging further research related to identified research gaps.
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Inntam, Chan. "Cluster model studies of d-metal species relevant to catalysis and of their adsorption complexes." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=979059771.

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Back, Christoph. "UHV-Cluster-Anlage zur Herstellung von Dünnfilmstrukturen und Transport- und Rauscheigenschaften von YBa2Cu3O7-d-Korngrenzen-SQUIDs." [S.l. : s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=984577629.

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Ambúr, Ole Herman. "Investigations of a third D-Ala:D-X ligase gene flanking the vanC cluster in vancomycin-resistant Enterococcus gallinarum BM4174." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620606.

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Gustafsson, Mattias. "Monte Carlo simulations of D-mesons with extended targets in the PANDA detector." Thesis, Uppsala universitet, Kärnfysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295024.

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Within the PANDA experiment, proton anti-proton collisions will be studied in order to gain knowledge about the strong interaction. One interesting aspect is the production and decay of charmed hadrons. The charm quark is three orders of magnitude heavier than the light up- and down-quarks which constitue the matter we consist of. The detection of charmed particles is a challenge since they are rare and often hidden in a large background. There will be three different targets used at the experiment; the cluster-jet, the untracked pellet and the tracked pellet. All three targets meet the experimental requirements of high luminosity. However they have different properties, concerning the effect on beam quality and the determination of the interaction point. In this thesis, simulations and reconstruction of the charmed D-mesons using the three different targets have been made. The data quality, such as momentum resolution and vertex resolution has been studied, as well as how the different targets effect the reconstruction efficiency of D-meson have been analysed. The results are consistent with the results from a similar study in 2006, but provide additional information since it takes the detector response into account. Furthermore, a new target distribution have been implemented in the software package. This is the first results obtained from a cylindrical target distribution. The results are very important for PANDA since they show the limitations of different target types regarding the possibilities to reduce background. Simulations with the new target distribution have been made for all three targets and the results are presented.
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Torres, Maria Alejandra Ferreira. "Análise genômica de Streptomyces olindensis DAUFPE 5622 e de suas vias crípticas para a obtenção de novos metabólicos secundários de interesse biotecnológico." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/42/42132/tde-10052016-090949/.

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Os compostos de origem microbiana tem readquirido interesse pela biodisponibilidade, especificidade de alvo e diversidade química, mas as vias biosintéticas permanecem crípticas em condições de cultura. Uma estratégia para expressa-las é a super-expressão de genes ativadores. O laboratório de Bio-Produtos no ICB na USP tem trabalhado com Streptomyces olindensis produtor da Cosmomicina D uma molécula com atividade antitumoral de interesse devido ao padrão de glicosilação. O genoma de S. olindensis foi sequenciado e submetido ao NCBI (JJOH00000000) e utilizando o software antiSMASH foram identificados 33 clusters envolvidos na produção de metabolitos secundários. Encontraram-se clusters gênicos para a produção de metabolitos como Melanina, Geosmina, entre outros. Além, foi realizada uma analise de genômica comparativa para caracterizar e anotar as 22 vias biossintéticas desconhecidas em S. olindensis. Finalmente, escolheram-se a via do aminociclitol e um Policetídeo Tipo I para a super-expressão de genes reguladores levando a detecção do composto sob condições de cultura.
Microbial metabolites regain interest due to its bioavailability, target specificity and chemical diversity, but the biosynthetic pathways remain silenced under culture conditions. A strategy to obtain them is the over expression of regulatory genes. Bio-products laboratory at USP has been working with Streptomyces olindensis, products of Cosmomycin D, an antitumoral molecule with a distinctive glycosylation pattern. S. olindensis genome was sequenced and submitted to NCBI (JJOH00000000) and employing antiSMASH server 33 secondary metabolite related clusters were identified. Known pathways were found such as genes for melanin production, Geosmin and others. Additionally, a comparative genomic approach was used to characterize the 22 biosynthetic unknown pathways described in S. olindensis. Subsequently, Aminocyclitol and Polyketide Type I were chosen to evaluated, over expressing the regulatory genes, leading to the compound detection in regular culture conditions.
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Books on the topic "D-cluster"

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Singh, Yashika. D&B-SBI SME cluster series, 2009. Mumbai: Dun & Bradstreet Information Services India, 2009.

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Singh, Yashika. D&B-SBI SME cluster series, 2009. Mumbai: Dun & Bradstreet Information Services India, 2009.

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Singh, Yashika. D&B-SBI SME cluster series, 2008. Mumbai: Dun & Bradstreet Information Services India, 2008.

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Singh, Yashika. D&B-SBI SME cluster series, 2009. Mumbai: Dun & Bradstreet Information Services India, 2009.

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Singh, Yashika. D&B-SBI SME cluster series, 2009. Mumbai: Dun & Bradstreet Information Services India, 2009.

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Singh, Yashika. D&B-SBI SME cluster series, 2008. Mumbai: Dun & Bradstreet Information Services India, 2008.

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Singh, Yashika. D&B-SBI SME cluster series, 2008. Mumbai: Dun & Bradstreet Information Services India, 2008.

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Singh, Yashika. D&B-SBI SME cluster series, 2008. Mumbai: Dun & Bradstreet Information Services India, 2008.

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Singh, Yashika. D&B-SBI SME cluster series, 2008. Mumbai: Dun & Bradstreet Information Services India, 2008.

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Singh, Yashika. D&B-SBI SME cluster series, 2009. Mumbai: Dun & Bradstreet Information Services India, 2009.

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Book chapters on the topic "D-cluster"

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Misra, Neeldhara, Fahad Panolan, and Saket Saurabh. "Subexponential Algorithm for d-Cluster Edge Deletion: Exception or Rule?" In Mathematical Foundations of Computer Science 2013, 679–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40313-2_60.

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Hernandez, David, and Bernard Leclerc. "Monoidal Categorifications of Cluster Algebras of Type A and D." In Symmetries, Integrable Systems and Representations, 175–93. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4863-0_8.

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Diallo, Cherif, and Maimouna Tedy Sow. "LQI-DCPSec: Secure Distributed d-Cluster Formation in Wireless Sensor Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 210–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90802-1_18.

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Bruhn, Andrés, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, and Christoph Schnörr. "Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing." In Lecture Notes in Computer Science, 290–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45783-6_35.

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Delye de Clauzade de Mazieux, Alexandre, Michel Marot, and Monique Becker. "Correction, Generalisation and Validation of the “Max-Min d-Cluster Formation Heuristic”." In NETWORKING 2007. Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet, 1149–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72606-7_101.

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Takahashi, Daisuke. "An Implementation of Parallel 3-D FFT with 2-D Decomposition on a Massively Parallel Cluster of Multi-core Processors." In Parallel Processing and Applied Mathematics, 606–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14390-8_63.

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Kucukboyaci, Vefa, Alireza Haghighat, and Glenn E. Sjoden. "Performance of PENTRAN™ 3-D Parallel Particle Transport Code on the IBM SP2 and PCTRAN Cluster." In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 36–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45417-9_10.

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Mori, Kenichiro, and Y. Kanno. "Development of PC Cluster Parallel Processing Scheme of 3-D Rigid-Plastic Finite Element Method Using Diagonal Matrix." In Engineering Plasticity and Its Applications, 371–76. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-433-2.371.

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Schweikhard, L., S. Krückeberg, K. Lützenkirchen, and C. Walther. "The Mainz Cluster Trap." In The European Physical Journal D, 15–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-88188-6_4.

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Möbius, E., L. M. Kistler, M. A. Popecki, K. N. Crocker, M. Granoff, Y. Jiang, E. Sartori, et al. "The 3-D Plasma Distribution Function Analyzers with Time-of-Flight Mass Discrimination for Cluster, FAST, and Equator-S." In Measurement Techniques in Space Plasmas: Particles, 243–48. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm102p0243.

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Conference papers on the topic "D-cluster"

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Higo, Nobumasa, and Toshinobu Kuroyama. "Reflective Type Electronic Clusters High Visibility and 3-D Image Electronic Display Cluster." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/870210.

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Azizian, Meysam, Soumaya Cherkaoui, and Abdelhakim Senhaji Hafid. "A distributed D-hop cluster formation for VANET." In 2016 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2016. http://dx.doi.org/10.1109/wcnc.2016.7564925.

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BOWMAN, E. S., MARILYN F. BISHOP, T. MCMULLEN, and A. A. BASKI. "1-D MONTE CARLO SIMULATION OF CLUSTER GROWTH." In Proceedings of the International Symposium. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812793805_0073.

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Kues, Michael, Raman Kashyap, Alfonso Cino, Sai T. Chu, Brent E. Little, David J. Moss, Lucia Caspani, et al. "Optical d-Level Frequency-Time-Based Cluster States." In 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). IEEE, 2019. http://dx.doi.org/10.1109/cleoe-eqec.2019.8872230.

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Gogonenkov, G. N., V. P. Myasnikov, A. L. Pleshkevich, and V. I. Turchaninov. "Some aspects of cluster-oriented 3-D PSDM realization." In Geophysics of the 21st Century - The Leap into the Future. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.38.f221.

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Konobeevski, E., A. Afonin, A. Kasparov, V. Mitcuk, M. Mordovskoy, S. Zuyev, V. Lebedev, and A. Spassky. "Study of Cluster Structure of 9Be in d-9Be Interaction." In International Symposium on Exotic Nuclei EXON-2018. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789811209451_0010.

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Bing, Zhu, and Zhang TingLong. "The Cooperation Strategies Selection about R&D Investment in Enterprise Cluster." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.543.

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Huang, Guan-Long, Chow-Yen-Desmond Sim, and Tao Yuan. "A Compact Wideband Monopulse Feed Cluster Implemented via 3-D Metal Printing." In 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2018. http://dx.doi.org/10.1109/apusncursinrsm.2018.8609330.

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Bragança, R. S. N., A. Bulcão, W. J. Mansur, and M. F. Djalma Soares. "Finite difference 3-D elastic and acoustic seismic modeling using Beowulf cluster." In 8th International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.168.arq_605.

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Bonnin, A., R. Borras, and J. Vitria. "A cluster-based strategy for active learning of RGB-D object detectors." In 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE, 2011. http://dx.doi.org/10.1109/iccvw.2011.6130389.

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Reports on the topic "D-cluster"

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Fernow, R. C., J. Fischer, J. C. Gallardo, H. G. Kirk, S. K. Ko, R. B. Palmer, S. Ulc, and H. Wang. Amended proposal for R&D on a cluster klystron. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/10108654.

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Miley, George H. D-Cluster Converter Foil for Laser-Accelerated Deuteron Beams: Towards Deuteron-Beam-Driven Fast Ignition. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1086572.

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Link, Albert N. Retrospective Benefit-Cost Evaluation of U.S. DOE Vehicle Combustion Engine R&D Investments: Impacts of a Cluster of Energy Technologies. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/1339338.

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Weiller, B. H., P. S. Bechthold, E. K. Parks, L. G. Pobo, and S. J. Riley. The reactions of neutral iron clusters with D/sub 2/O: Deconvolution of equilibrium constants from multiphoton processes. Office of Scientific and Technical Information (OSTI), January 1989. http://dx.doi.org/10.2172/6416486.

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Gershoni, Jonathan M., David E. Swayne, Tal Pupko, Shimon Perk, Alexander Panshin, Avishai Lublin, and Natalia Golander. Discovery and reconstitution of cross-reactive vaccine targets for H5 and H9 avian influenza. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7699854.bard.

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Abstract:
Research objectives: Identification of highly conserved B-cell epitopes common to either H5 or H9 subtypes of AI Reconstruction of conserved epitopes from (1) as recombinantimmunogens, and testing their suitability to be used as universal vaccine components by measuring their binding to Influenza vaccinated sera of birds Vaccination of chickens with reconstituted epitopes and evaluation of successful vaccination, clinical protection and viral replication Development of a platform to investigate the dynamics of immune response towards infection or an epitope based vaccine Estimate our ability to focus the immune response towards an epitope-based vaccine using the tool we have developed in (D) Summary: This study is a multi-disciplinary study of four-way collaboration; The SERPL, USDA, Kimron-Israel, and two groups at TAU with the purpose of evaluating the production and implementation of epitope based vaccines against avian influenza (AI). Systematic analysis of the influenza viral spike led to the production of a highly conserved epitope situated at the hinge of the HA antigen designated “cluster 300” (c300). This epitope consists of a total of 31 residues and was initially expressed as a fusion protein of the Protein 8 major protein of the bacteriophagefd. Two versions of the c300 were produced to correspond to the H5 and H9 antigens respectively as well as scrambled versions that were identical with regard to amino acid composition yet with varied linear sequence (these served as negative controls). The recombinantimmunogens were produced first as phage fusions and then subsequently as fusions with maltose binding protein (MBP) or glutathioneS-transferase (GST). The latter were used to immunize and boost chickens at SERPL and Kimron. Furthermore, vaccinated and control chickens were challenged with concordant influenza strains at Kimron and SEPRL. Polyclonal sera were obtained for further analyses at TAU and computational bioinformatics analyses in collaboration with Prof. Pupko. Moreover, the degree of protection afforded by the vaccination was determined. Unfortunately, no protection could be demonstrated. In parallel to the main theme of the study, the TAU team (Gershoni and Pupko) designed and developed a novel methodology for the systematic analysis of the antibody composition of polyclonal sera (Deep Panning) which is essential for the analyses of the humoral response towards vaccination and challenge. Deep Panning is currently being used to monitor the polyclonal sera derived from the vaccination studies conducted at the SEPRL and Kimron.
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Koretsky, G. M., and M. B. Knickelbein. Infrared photodissociation spectroscopy of Ag{sub n}(C{sub 6}H{sub 6}){sub m} and Ag{sub n}(C{sub 6}D{sub 6}){sub m} clusters: Evidence of adsorption-induced symmetry reduction in benzene. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/510289.

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