Relevant bibliographies by topics / DDAI

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Academic literature on the topic 'DDAI'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "DDAI"

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Ragazzone, Pasqualina. "L'approccio ericksoniano nel trattamento del DDAI." IPNOSI, no. 2 (May 2012): 39–54. http://dx.doi.org/10.3280/ipn2011-002003.

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Questo articolo intende evidenziare il complesso meccanismo di strutturazione del disturbo da deficit di attenzione/iperattivitŕ, noto con l'acronimo italiano DDAI, e come fronteggiarlo. Durante la sua esperienza ad un Centro di Neuropsichiatria Infantile l'autrice conosce S., un bambino di nove anni con diagnosi di DDAI. S. sembra non trovare un modo per trattenersi dal reagire in modo impulsivo e aggressivo, č un bambino che tutti allontanano perché scappa, corre, non riesce a stare seduto, č assediato dagli sguardi di dissenso degli insegnanti e dei genitori e dai commenti dei compagni di classe. Non riesce a controllare la rabbia, fino al punto di sentirsi come una bomba pronta ad esplodere da un momento all'altro. Come aiutare un bambino con queste problematiche? La risposta che l'autrice ha trovato a questo interrogativo viene dalla sua formazione, da ciň che la teoria di Milton Erickson ha insegnato: guardare le risorse del paziente, e non i suoi limiti, utilizzare tutto ciň che il paziente porta, stabilire con lui una buona alleanza terapeutica. In questo articolo vengo- no dapprima analizzate le caratteristiche primarie e secondarie del disturbo, l'eziologia e l'epidemiologia e successivamente vengono presentati i diversi tipi di approccio terapeutico al DDAI. Infine sono riportati la storia clinica del piccolo S. e i colloqui effettuati con lui.
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Russo, Federica, Emiliana Stendardo, and Carlo Buonanno. "L'impulsività nel disturbo da deficit di attenzione e iperattività (DDAI) e nel disturbo da uso di sostanze (DUS)." QUADERNI DI PSICOTERAPIA COGNITIVA, no. 41 (December 2017): 35–51. http://dx.doi.org/10.3280/qpc2017-041003.

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Galambos, Jörg, Claudia Meuli-Simmen, Regula Schmid, Lisa S. Steinmann, and Werner Kempf. "Diffuse Dermal Angiomatosis of the Breast: A Distinct Entity in the Spectrum of Cutaneous Reactive Angiomatoses – Clinicopathologic Study of Two Cases and Comprehensive Review of the Literature." Case Reports in Dermatology 9, no. 3 (October 13, 2017): 194–205. http://dx.doi.org/10.1159/000480721.

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Diffuse dermal angiomatosis (DDA) is a rare reactive angioproliferation in the skin and considered to be a subtype in the group of cutaneous reactive angiomatoses. DDA is clinically characterized by livedoid patches and plaques with tender ulceration. Its histologic features are a reactive diffuse proliferation of bland endothelial cells and pericytes within the dermis, forming small capillary vessels. Previously described cases of DDA most commonly involved the limbs and were associated with a wide spectrum of predisposing comorbidities, especially advanced atherosclerotic vascular disease and arteriovenous fistula. However, several cases of DDA of the breast (DDAB) have been reported in recent years. In this study we present 2 additional patients with DDAB and review all 36 cases of DDAB published in the literature. We describe the clinical and histopathologic characteristics, hypothesized pathogenetic mechanisms, and predisposing conditions of this rare skin disorder and discuss treatment options. The breast is a more commonly involved site of DDA than previously believed. DDAB typically occurs in middle-aged women and is associated with macromastia, overweight or obesity, and probably smoking. Predisposing comorbid conditions differ from those of DDA involving other parts of the body, making DDAB a unique clinicopathologic entity in the spectrum of cutaneous reactive angiomatoses. Currently there is no consensus on the best therapeutic approach. Isotretinoin and other medical therapies have been used with limited success. Breast reduction surgery appears to be a viable treatment option for DDAB in women with macromastia and might provide definitive healing.
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Jensen, Jannik, and Dan Kristiansen. "DDI 3 Development at DDA." IASSIST Quarterly 33, no. 1 (November 11, 2010): 31. http://dx.doi.org/10.29173/iq648.

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Lai, Po-Ting, Wei-Liang Lu, Ting-Rung Kuo, Chia-Ru Chung, Jen-Chieh Han, Richard Tzong-Han Tsai, and Jorng-Tzong Horng. "Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study." JMIR Medical Informatics 7, no. 4 (November 26, 2019): e14502. http://dx.doi.org/10.2196/14502.

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Background Research on disease-disease association (DDA), like comorbidity and complication, provides important insights into disease treatment and drug discovery, and a large body of the literature has been published in the field. However, using current search tools, it is not easy for researchers to retrieve information on the latest DDA findings. First, comorbidity and complication keywords pull up large numbers of PubMed studies. Second, disease is not highlighted in search results. Finally, DDA is not identified, as currently no disease-disease association extraction (DDAE) dataset or tools are available. Objective As there are no available DDAE datasets or tools, this study aimed to develop (1) a DDAE dataset and (2) a neural network model for extracting DDA from the literature. Methods In this study, we formulated DDAE as a supervised machine learning classification problem. To develop the system, we first built a DDAE dataset. We then employed two machine learning models, support vector machine and convolutional neural network, to extract DDA. Furthermore, we evaluated the effect of using the output layer as features of the support vector machine-based model. Finally, we implemented large margin context-aware convolutional neural network architecture to integrate context features and convolutional neural networks through the large margin function. Results Our DDAE dataset consisted of 521 PubMed abstracts. Experiment results showed that the support vector machine-based approach achieved an F1 measure of 80.32%, which is higher than the convolutional neural network-based approach (73.32%). Using the output layer of convolutional neural network as a feature for the support vector machine does not further improve the performance of support vector machine. However, our large margin context-aware-convolutional neural network achieved the highest F1 measure of 84.18% and demonstrated that combining the hinge loss function of support vector machine with a convolutional neural network into a single neural network architecture outperforms other approaches. Conclusions To facilitate the development of text-mining research for DDAE, we developed the first publicly available DDAE dataset consisting of disease mentions, Medical Subject Heading IDs, and relation annotations. We developed different conventional machine learning models and neural network architectures and evaluated their effects on our DDAE dataset. To further improve DDAE performance, we propose an large margin context-aware-convolutional neural network model for DDAE that outperforms other approaches.
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Stukel, M. R., V. J. Coles, M. T. Brooks, and R. R. Hood. "Top-down, bottom-up and physical controls on diatom-diazotroph assemblage growth in the Amazon River plume." Biogeosciences 11, no. 12 (June 19, 2014): 3259–78. http://dx.doi.org/10.5194/bg-11-3259-2014.

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Abstract. The nutrient-rich waters of the Amazon River plume (ARP) support dense blooms of diatom-diazotroph assemblages (DDAs) that introduce large quantities of new nitrogen to the planktonic ecosystem and, unlike other nitrogen-fixers, are likely to directly fuel vertical carbon flux. To investigate the factors controlling DDA blooms, we develop a five phytoplankton (cyanobacteria, diatoms, unicellular microbial diazotrophs, DDAs, and Trichodesmium), two zooplankton model and embed it within a 1/6° resolution physical model of the tropical and subtropical Atlantic. The model generates realistic DDA blooms in the ARP and also exhibits basin-wide primary production, nitrogen fixation, and grazing rates consistent with observed values. By following ARP water parcels with synthetic Lagrangian drifters released at the river mouth we are able to assess the relative impacts of grazing, nutrient supply, and physical forcing on DDA bloom formation. DDA bloom formation is stimulated in the nitrogen-poor and silica-rich water of the ARP by decreases in grazing pressure when mesozooplankton (which co-occur in high densities with coastal diatom blooms) concentrations decrease. Bloom termination is driven primarily by silica limitation of the DDAs. In agreement with in situ data, this net growth niche for DDAs exists in a salinity range from ∼20–34 PSU, although this co-occurrence is coincidental rather than causative. Because net growth rates are relatively modest, bloom formation in ARP water parcels depends critically on the time spent in this ideal habitat, with high DDA biomass only occurring when water parcels spent >23 days in the optimal habitat niche.
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Le Saint, Cecile, Raphael Terreux, Daniele Duval, Jacques Durant, Helene Ettesse, Pierre Dellamonica, Roger Guedj, Jean Pierre Vincent, and Anny Cupo. "Determination of ddATP Levels in Human Immunodeficiency Virus-Infected Patients Treated with Dideoxyinosine." Antimicrobial Agents and Chemotherapy 48, no. 2 (February 2004): 589–95. http://dx.doi.org/10.1128/aac.48.2.589-595.2004.

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ABSTRACT Clinical failures of the highly active antiretroviral therapy could result from inefficient intracellular concentrations of antiviral drugs. The determination of drug contents in target cells of each patient would be useful in clinical investigations and trials. The purpose of this work was to quantify the intracellular concentration of ddATP, the active metabolite of dideoxyinosine (ddI), in peripheral blood mononuclear cells (PBMCs) of human immunodeficiency virus (HIV)-infected patients treated with ddI. We have raised antibodies against ddA-citrate, a stable isostere of ddATP selected on the basis of its structural and electronic analogies with ddATP. The anti-ddA-citrate antibodies recognized ddATP and ddA with nanomolar affinities and cross-reacted neither with any of the nucleotide reverse transcriptase inhibitors used in HIV therapy nor with their phosphorylated metabolites. The three phosphorylated metabolites of ddI (ddAMP, ddADP, and ddATP) were purified by anion exchange chromatography and the amount of each metabolite was determined by radioimmunoassay with or without prior phosphatase treatment. The intracellular levels of the three ddI metabolites were measured both in an in vitro model and in PBMCs of HIV-infected patients under ddI treatment. The possibility to measure intracellular levels of ddATP from small blood samples of HIV-infected patients treated with ddI could be exploited to develop individual therapeutic monitoring.
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Bahar, Muh Akbar, Pauline Lanting, Jens H. J. Bos, Rolf H. Sijmons, Eelko Hak, and Bob Wilffert. "Impact of Drug-Gene-Interaction, Drug-Drug-Interaction, and Drug-Drug-Gene-Interaction on (es)Citalopram Therapy: The PharmLines Initiative." Journal of Personalized Medicine 10, no. 4 (November 28, 2020): 256. http://dx.doi.org/10.3390/jpm10040256.

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We explored the association between CYP2C19/3A4 mediated drug-gene-interaction (DGI), drug-drug-interaction (DDI) and drug-drug-gene-interaction (DDGI) and (es)citalopram dispensing course. A cohort study was conducted among adult Caucasians from the Lifelines cohort (167,729 participants) and linked dispensing data from the IADB.nl database as part of the PharmLines Initiative. Exposure groups were categorized into (es)citalopram starters with DGI, DDI and DDGI. The primary outcome was drug switching and/or dose adjustment, and the secondary was early discontinuation after the start of (es)citalopram. Logistic regression modeling was applied to estimate adjusted odd ratios with their confidence interval. We identified 316 (es)citalopram starters with complete CYP2C19/3A4 genetic information. The CYP2C19 IM/PM and CYP3A4 NM combination increased risks of switching and/or dose reduction (OR: 2.75, 95% CI: 1.03–7.29). The higher effect size was achieved by the CYP2C19 IM/PM and CYP3A4 IM combination (OR: 4.38, 95% CI: 1.22–15.69). CYP2C19/3A4 mediated DDIs and DDGIs showed trends towards increased risks of switching and/or dose reduction. In conclusion, a DGI involving predicted decreased CYP2C19 function increases the need for (es)citalopram switching and/or dose reduction which might be enhanced by co-presence of predicted decreased CYP3A4 function. For DDI and DDGI, no conclusions can be drawn from the results.
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Wojciak-Stothard, Beata, Belen Torondel, Lan Zhao, Thomas Renné, and James M. Leiper. "Modulation of Rac1 Activity by ADMA/DDAH Regulates Pulmonary Endothelial Barrier Function." Molecular Biology of the Cell 20, no. 1 (January 2009): 33–42. http://dx.doi.org/10.1091/mbc.e08-04-0395.

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Endogenously produced nitric oxide synthase inhibitor, asymmetric methylarginine (ADMA) is associated with vascular dysfunction and endothelial leakage. We studied the role of ADMA, and the enzymes metabolizing it, dimethylarginine dimethylaminohydrolases (DDAH) in the regulation of endothelial barrier function in pulmonary macrovascular and microvascular cells in vitro and in lungs of genetically modified heterozygous DDAHI knockout mice in vivo. We show that ADMA increases pulmonary endothelial permeability in vitro and in in vivo and that this effect is mediated by nitric oxide (NO) acting via protein kinase G (PKG) and independent of reactive oxygen species formation. ADMA-induced remodeling of actin cytoskeleton and intercellular adherens junctions results from a decrease in PKG-mediated phosphorylation of vasodilator-stimulated phosphoprotein (VASP) and a subsequent down-regulation of Rac1 activity. The effects of ADMA on endothelial permeability, Rac1 activation and VASP phosphorylation are prevented by overexpression of active DDAHI and DDAHII, whereas inactive DDAH mutants have no effect. These findings demonstrate for the first time that ADMA metabolism critically determines pulmonary endothelial barrier function by modulating Rac1-mediated remodeling of the actin cytoskeleton and intercellular junctions.
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Pruvost, Alain, Eugènia Negredo, Henri Benech, Frédéric Theodoro, Jordi Puig, Eulàlia Grau, Elisabet García, José Moltó, Jacques Grassi, and Bonaventura Clotet. "Measurement of Intracellular Didanosine and Tenofovir Phosphorylated Metabolites and Possible Interaction of the Two Drugs in Human Immunodeficiency Virus-Infected Patients." Antimicrobial Agents and Chemotherapy 49, no. 5 (May 2005): 1907–14. http://dx.doi.org/10.1128/aac.49.5.1907-1914.2005.

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ABSTRACT Recent work has demonstrated the existence of a systemic interaction between didanosine (ddI) and tenofovir disoproxyl fumarate (TDF) that leads to a significant increase in plasma ddI levels when coadministered with TDF (40 to 50% increase). These two drugs are, respectively, nucleoside and nucleotide analogues of adenosine and efficiently inhibit the human immunodeficiency virus (HIV) reverse transcriptase when transformed to their triphosphate moieties in the intracellular (IC) medium (ddA-TP and TFV-DP, respectively). Since ddI and TDF partly share the same IC metabolic pathway leading to the active triphosphates, we investigated a putative IC interaction. We used high-performance liquid chromatography-tandem mass spectrometry techniques to determine ddA-TP and TFV-DP IC levels in HIV-infected patients cotreated with both drugs, in comparison with patients treated with just one of the two drugs. These measurements revealed no significant differences in IC levels of the corresponding triphosphates when ddI (250 mg, once a day [QD]) was coadministered with TDF (300 mg, QD) compared to ddI 400 mg (QD) administered without TDF, thus supporting the dose adaptation proposed for this combination. However, we observed that both ddA-TP and TFV-DP have very long IC half-lives, resulting in unusual IC pharmacokinetic profiles with no significant changes in triphosphate concentrations between two dosings. In the case of TFV-DP, this t 1/2 of elimination was roughly estimated to be 180 h (7.5 days). This characteristic is certainly interesting in terms of efficacy but could have some drawbacks in terms of virus resistance for patients discontinuing these drugs.
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Dissertations / Theses on the topic "DDAI"

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Tran, Cam Thanh Lucy. "Molecular analysis of human DDAH genes." Thesis, University College London (University of London), 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408021.

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Freitas, Claudia Rodrigues de. "Corpos que não param : criança, "TDAH" e escola." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/32310.

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Questa ricerca analizza gli studi che identificano un numero rilevante di bambini iperattivi nell‘Istruzione infantile della Rete Comunale delle Scuole di Porto Alegre. L‘enunciato scolastico produce una diagnosi e indirizza ai medici, ma con quale intento? Che cosa cambia nell‘organizzazione pedagogica a partire dalla diagnosi o dalla perizia medica? Che cosa segnala il corpo? Che cosa preannuncia il corpo? Le domande sono state tradotte in modo da organizzare il punto centrale dello studio: Che cosa accade con il sapere e il non sapere dell'istruzione rispetto ai Corpi Che Non Si Fermano? Per dare supporto alle ricerche, sono stati sviluppati alcuni concetti fondamentali. Il concetto di normalità, sulla base del pensiero di Canguilhem e Foucault, si associa al pensiero sistemico di Gregory Bateson. Considerando la continua articolazione tra normale e anormale, si cerca la costruzione del concetto di Disturbo da Deficit di Attenzione da Iperattività – DDAI, basandosi su riferimenti storici di costruzione di questi concetti e le evidenze per cui la diagnosi relativa a tali soggetti si presenta sottoforma di epidemia nel contesto analizzato. Un‘analisi cartografica dell‘attenzione, concetto anch‘esso centrale nella tesi, mette in evidenza l‘Attenzione intesa non come condizione preesistente, ma nel suo movimento circolare di invenzione, come effetto dell‘/nell‘apprendimento. Il lavoro di ricerca è stato sviluppato in particolare su bebè e bambini piccoli che integrano la Rete Scolastica Comunale di Porto Alegre, attraverso l‘attenzione ai discorsi degli Educatori Speciali che si prendono cura di questi bambini e prestano assistenza alle scuole. A seguito dei colloqui si è formata la composizione di gruppi di argomentazione che, sottoforma di piccoli titoli, vengono chiamati Nomi-Domande: Quando i bambini si fermano? Come ci si riferisce a questi bambini? Quali parole, che gruppi di argomentazione sono utilizzati? In che modo lo stato di abbandono si manifesta nei bambini, nelle famiglie e nei professori? Tra le evidenze, una delle più importanti è quella che identifica l‘iperattività associata a una dimensione di abbandono diretta non solo al soggetto bambino, ma a tutti i personaggi implicati nella rete. L‘abbandono, inteso come una forma acuta di sofferenza di diverso ordine finisce per produrre un‘esistenza di sofferenza. Tuttavia, a partire dal punto di vista diretto al contesto, si è osservato che i bambini in stato di abbandono, quando hanno ricevuto cure e attenzione personalizzate, hanno presentato un cambiamento che si traduce in possibilità di vita in comune e apprendimento nella scuola.
Esta pesquisa analisa os discursos que identificam um número expressivo de crianças como hiperativas na Educação Infantil da Rede Municipal de Ensino de Porto Alegre. O discurso escolar produz diagnóstico e encaminha aos consultórios médicos, mas com que intenção? O que muda na organização pedagógica a partir do diagnóstico ou do laudo médico? O que denuncia o corpo? O que anuncia o corpo? As perguntas foram traduzidas de forma a organizar a questão central da pesquisa: O que acontece com o saber e o não saber da educação face aos Corpos Que Não Param? Para dar sustentação às buscas, foram desenvolvidos alguns conceitos fundamentais. O conceito de normalidade, tendo como base o pensamento de Canguilhem e Foucault, associa-se ao pensamento sistêmico de Gregory Bateson. Considerando a contínua articulação entre normal e anormal busca-se a construção do conceito de Transtorno de Déficit de Atenção com Hiperatividade – TDAH, tomando as referências históricas de construção desse conceito e as evidências de que o diagnóstico referente a tais sujeitos se apresenta na forma de epidemia no contexto investigado. Uma análise cartográfica da atenção, conceito também central na tese, dá evidência à Atenção entendida não como condição prévia, mas em seu movimento circular de invenção, como efeito da/na aprendizagem. O trabalho de investigação foi desenvolvido conferindo destaque a bebês e crianças pequenas que integram a Rede Municipal de Ensino de Porto Alegre, por meio da atenção aos discursos das Educadoras Especiais que prestam atendimento a essas crianças e assessoria às escolas. A partir das entrevistas, houve a composição de grupos de argumentação que, em forma de pequenos títulos, são chamados de Nomes-Perguntas: Quando as crianças param? Como essas crianças são referidas? Que palavras, que grupos de argumentações são usados? Como o desamparo se mostra nas crianças, famílias e professoras? Dentre as evidências, uma das mais importantes é a que identifica hiperatividade associada a uma dimensão de desamparo, dirigida não só ao sujeito criança, mas a todos os implicados nessa rede. O desamparo, entendido como uma forma aguda de sofrimento de diversas ordens acaba por produzir uma existência de sofrimento. No entanto, a partir do olhar dirigido ao contexto, foi observado que crianças em estado de desamparo, quando encontraram o cuidado e a atenção personalizada, apresentaram uma mudança que se traduz em possibilidade de convivência e aprendizagem na escola.
This research analyzes the several discourses that identify a significant number of children as hyperactive in Child Education in the Schools of the City of Porto Alegre. The school discourse results in diagnosis and refers to doctor's offices, but with what purpose? What changes in educational organization with the diagnosis or medical report? What does the body denounce? What does the body announce? These questions were translated into a way to organize the focal point of the research: What happens with knowing and not knowing in education vis-à-vis Bodies That Will Not Stop? In order to substantiate the searches, some essential concepts were developed. The concept of normalcy, based on the thinking of Canguilhem and Foucault, is associated to the systemic thinking of Gregory Bateson. Considering the continuous articulation between normal and abnormal, the construction of the concept of Attention Deficit Hyperactivity Disorder - ADHD is pursued, using the historical references to build this concept and the evidence that the diagnosis for such subjects takes the form of epidemics within the investigated context. A cartographic analysis of attention, also an essential concept in this paper, evidences understood Attention not as a condition precedent, but within its circular invention movement, as an effect of and in learning. The investigation work was conducted with focus on babies and small children of the Schools in the City of Porto Alegre, by means of attention to the discourses of Special Educators tending to these children and assisting these schools. Based on the interviews, groups of arguments were formed under small titles, called Question-Names: When do the children stop? How are these children referred? Which words, which groups of arguments are used? How does abandonment show in children, families and teachers? Among the evidences, one of the most important is the one that identifies hyperactivity associated to a dimension of abandonment, focused not only on the subject child but also on all of those affected in this network. Abandonment, understood as an acute form of suffering of several orders, ultimately produces a painful existence. However, by focusing on the context, it was observed that children in an abandonment state, when experiencing personal care and attention, showed a change that translates into the possibility of interacting and learning at school.
Esta investigación analiza los discursos que identifican un número expresivo de niños como hiperactivos en la Educación Infantil de la Red Municipal de Enseñanza de Porto Alegre. El discurso escolar produce diagnóstico y encamina a los consultorios médicos, pero, ¿con qué intención? ¿Qué cambia en la organización pedagógica a partir del diagnóstico o del laudo médico? ¿Qué denuncia el cuerpo? ¿Qué denuncia el cuerpo? Las preguntas se tradujeron para organizar la cuestión central de la investigación: ¿Qué ocurre con el saber y el no saber de la educación de cara a los Cuerpos Que No Paran? Para dar sustentación a las búsquedas, se desarrollaron algunos conceptos fundamentales. El concepto de normalidad, teniendo como base el pensamiento de Canguilhem y Foucault, se asocia al pensamiento sistémico de Gregory Bateson. Considerando la continua articulación entre normal y anormal se busca la construcción del concepto de Trastorno de Déficit de Atención con Hiperactividad – TDAH, tomando las referencias históricas de construcción de ese concepto y las evidencias de que el diagnóstico referente a tales sujetos se presenta en la forma de epidemia en el contexto investigado. Un análisis cartográfico de la atención, concepto también central en la tesis, da evidencia a la Atención entendida no como condición previa, sino en su movimiento circular de invención, como efecto del/en el aprendizaje. El trabajo de investigación fue desarrollado dándole destaque a bebés y a niños pequeños que integran la Red Municipal de Enseñanza de Porto Alegre, por medio de la atención a los discursos de las Educadoras Especiales que prestan atención a esos niños y asesoría a las escuelas. A partir de las entrevistas, hubo la composición de grupos de argumentación que, en forma de pequeños títulos, son llamados de Nombres-Preguntas: ¿Cuándo paran los niños? ¿Cómo se refieren a esos niños? ¿Qué palabras, qué grupos de argumentaciones se usan? ¿Cómo se muestra el desamparo en los niños, familias y profesoras? Entre las evidencias, una de las más importantes es la que identifica hiperactividad asociada a una dimensión de desamparo, dirigida no sólo al sujeto niño, sino a todos los implicados en esa red. El desamparo, entendido como una forma aguda de sufrimiento de diversos órdenes acaba por producir una existencia de sufrimiento. Sin embargo, a partir de la mirada dirigida al contexto, se observó que niños en estado de desamparo, cuando encontraron el cuidado y la atención personalizada, presentaron un cambio que se traduce en posibilidad de convivencia y aprendizaje en la escuela.
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Tommasi, Sara. "Design and synthesis of human dimethylarginine dimethylaminohydrolase (DDAH) inhibitors and development of a novel DDAH activity assay." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227616.

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Nitric oxide (NO) is a key physiological messenger, but an excessive production of this molecule can be detrimental, leading to the onset or worsening of many pathological conditions. Dimethylarginine dimethylaminohydrolase (DDAH) is a key enzyme in the NO pathway, involved in the metabolism of asymmetric dimethylarginine (ADMA) and monomethyl arginine (L-NMMA), which are both endogenous inhibitors of NO synthesis. Two isoforms of DDAH have been identified in humans, namely DDAH-1 and DDAH-2. DDAH inhibition represents a promising strategy in the treatment of NO overproduction under pathological conditions without affecting the homeostatic role of this messenger. In this work I described the design and synthesis of 12 novel potential DDAH inhibitors together with the development of a new UPLC-MS based assay to measure the activity of HEK293T cell lysates overexpressing recombinant human DDAH-1 in metabolizing ADMA into dimethylamine and L-citrulline. The same assay was used to assess the potential of the novel compounds, as well as of the well-known DDAH inhibitor L-257, to inhibit DDAH-1 catalyzed L-citrulline formation from ADMA. Three of the novel molecules (compounds 10a, 14a and 14b) showed very interesting inhibitory activity: in particular, the methylacylsulfonamide analogue of L-257 (10a) resulted in 13-fold higher inhibition potency than L-257 itself (98% of inhibition at 1mM, IC50 = 3±3 μM and Ki = 1±0 μM). This molecule was chosen for molecular dynamics simulations to study the putative mechanism for 10a inhibition of DDAH-1 activity. Furthermore, DDAH-1 and DDAH-2 were engineered introducing a FLAG-tag at the C-terminal of the proteins to allow their purification from the lysate components by immunoprecipitation. Although the purification protocol requires some further improvement, the fusion proteins did not show to be functionally affected by the modification.
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Silva, Tarciana Dias da. "DDAN: A distributed directory for ambient networks." Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/2130.

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Made available in DSpace on 2014-06-12T15:54:45Z (GMT). No. of bitstreams: 2 arquivo2010_1.pdf: 5876165 bytes, checksum: 604cf585e6b37b930842351c554aa528 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2008
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Dias da Silva, Tarciana; Fawzi Hadj Sadok, Djamel. DDAN: A distributed directory for ambient networks. 2008. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2008.
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Tornazakis, Ioannis. "Development of a Distributed Digital Array Radar (DDAR)." Thesis, Monterey, California. Naval Postgraduate School, 2008. http://hdl.handle.net/10945/4000.

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Distributed digital arrays have many potential applications in radar and communication systems. The objective of this thesis is to re-examine previous research on distributed digital array radar (DDAR) and evaluate several critical aspects of a proposed wireless architecture. Self-standing transmit/receive (T/R) modules are synchronized wirelessly. An important issue addressed in this thesis is whether a simple low-cost synchronization circuit would perform adequately. To this end two breadboard T/R modules were built to support test and evaluation. Both measurements and simulations were performed. Other issues addressed in the research include a comprehensive investigation of the demodulator performance, and the development of Controller and processing software in LabVIEW.
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Djerf, Pontus R. Tornazakis Ioannis. "Development of a Distributed Digital Array Radar (DDAR)." Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Sept/08Sep%5FDjerf.pdf.

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Thesis (M.S. in Electronic Warfare Systems Engineering)--Naval Postgraduate School, September 2008.
Thesis Advisor(s): Jenn, David. "September 2008." Description based on title screen as viewed on November 3, 2008. Includes bibliographical references (p. 153-155). Also available in print.
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Woo, Chelsea So-Ming. "Efficacy of tebuconazole and ddac in shell-treated wood." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/30484.

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In 2008, the Canadian standard for decking installed above ground was revised, and the penetration requirement was eliminated. This decision was based on field test data and fundamental work on mobility of copper in the preservative formulations that dominated the market at the time. Recently the wood protection industry has shown interest in shifting towards carbon-based preservatives. Thus, it is important to test the efficacy of carbon-based preservative formulations as shell-treatments on Canadian wood species. In this study, samples of spruce heartwood were treated with a formulation containing either tebuconazole or didecyldimethylammonium carbonate (DDAC). The treated wood was exposed outdoors for one year and the leachate from these samples was collected. Tebuconazole and DDAC were detected in the leachate collected, and this indicates that these active ingredients were mobile in the wood after treatment. DDAC was detected in very low concentrations on wood surfaces that were untreated before exposure: 0.03 mg DDAC/g of wood and 0.02 mg of DDAC/g wood were measured for the high and low retentions respectively. The concentration of tebuconazole detected was not different from the control samples. This suggests that mobile DDAC may be able to re-deposit in the wood, but tebuconazole does not re-deposit once it is dislodged from the wood. Furthermore, results showed that spores of Gloeophyllum sepiarium and Oligoporus placentus were able to germinate on untreated check surfaces within 2 weeks on samples collected from exposed, treated wood. This indicates that the re-deposited carbon-based active ingredients were not able to protect the untreated check surfaces against germination of basidiospores of some common fungi isolated from above-ground decking in Canada.
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Pullamsetti, Soni. "Role of Dimethylarginine Dimethylaminohydrolases (DDAH) in pulmonary arterial hypertension." Giessen VVB Laufersweiler, 2006. http://geb.uni-giessen.de/geb/volltexte/2006/2892/index.html.

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Tomlinson, James. "The role of DDAH and ADMA in kidney disease." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24541.

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Asymmetric dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide (NO) synthesis and elevated plasma levels associate with poor cardiovascular and renal outcomes. The dimethylarginine dimethylaminohydrolase enzymes (DDAHs; 1 and 2) metabolise ADMA. A DDAH1 gene variant associates with higher kidney tissue mRNA expression, lower plasma ADMA but counter-intuitively, a steeper rate of eGFR decline. This indicates that renal DDAH1 activity may be deleterious and circulating ADMA does not necessarily reflect the NO-ADMA balance (or severity of disease) within kidney tissue. This study tests the hypothesis that reduced renal DDAH1 activity protects against the progression of kidney function decline, independent of circulating ADMA. Renal DDAH1 expression predominates within the proximal tubule. A novel proximal tubule-specific DDAH1 knock-out (PTD1KO) mouse was developed, which demonstrated tubule-specific dysregulation of ADMA and NO that was not evident systemically. Phenotyping studies in PTD1KO mice did not identify consistent alterations of urinary biochemistry at baseline or after salt loading, however, proteomic analysis revealed significant alterations of urinary peptides at baseline; including down-regulation of uromodulin and collagen. At 12 weeks following folate renal injury, the PTD1KO mouse exhibited less kidney function decline, collagen deposition and pro-fibrotic gene expression (Col12alpha, TGFbeta and ET-1) than controls. Furthermore, ADMA and DDAH1 inhibition reduced tubular sodium and fluid reabsorption in rat microperfusion studies, although studies in PTD1KO mice failed to reproduce this effect. Finally, in vitro studies using a PT cell line and primary PT culture indicated an inhibitory effect of ADMA upon PT cell proliferation. Consistent with recent human genetic studies, these data provide experimental evidence indicating a reduction of renal tubule DDAH1 activity can protect against progressive kidney fibrosis and function decline, independent of plasma ADMA. This work provides novel insights into the role of the NO-ADMA-DDAH axis within the kidney, particularly the tubule.
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Artman, Anna. "Avvattning av nanocellulosa i en DDA." Thesis, KTH, Skolan för kemivetenskap (CHE), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170123.

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Genom laborativa försök skulle avvattning och retention av nanocellulosa i en DDA (Dynamic drainage analyzer) undersökas. Detta genom att tillsätta retentionskemikalier i varierande mängder för att se hur det påverkade avvattningen. Uppdragsgivaren var Innventia och laborationerna utfördes på SP:s laboratorium där DDA instrument fanns tillgängligt. DDA instrumentet liknar den maskin som används för papperstillverkning och därför anses det vara möjligt att kunna avvattna nanocellulosa på liknande instrument. Målet med examensarbetet var att få fram en nanocellulosafilm med goda barriärsegenskaper men också se hur tillsats av bärarfibrer påverkar filmens egenskaper. Målet var också att se om retention och avvattningstiden för nanocellulosa hänger ihop och om det går att få fram repeterbara resultat. Två olika viror undersöktes också i de laborativa experimenten i DDA, en som benämns som Albanyviran och en som benämns som Stratexviran. Albanyviran är tätare än Stratexviran och effekten av viratäthet på retention och avvattningstid undersöktes. Nanocellulosa eller Mikrofibrillär cellulosa (MFC) är ett nytt och förnybart material som utvinns ur träfibrer och karakteriseras av sitt geléaktiga utseende[4]. Nanocellulosan lämpar sig utmärkt för en mängd olika produkter t.ex. som barriär, enskilt i form av filmer eller i blandade produkter. Vid tillverkning av nanocellulosa används en homogenisator som sönderdelar cellulosafibrer till fibriller och fibrillaggregat. Detta var tidigare ett problem då fibrerna satte igen homogenisatorn och tillverkningen var mycket energikrävande[4]. När det gäller filmtillverkning av nanocellulosa kvarstår problemet när det kommer till avvattningen. Nanocellulosan späddes till önskad koncentration och innan de laborativa försöken kördes den genom en homogenisator för att dispergera fibrillerna i vätskan efter spädningen. Bärarfibrerna slogs upp i en uppslagare med två liter kranvatten för att sedan tillsättas till den homogeniserade nanocellulosan. Under försöket i DDA varierades mängden och andelen MFC (mikrofibrillär cellulosa) och bärarfibrer (Modorefmassa). Till MFC och bärarfibersuspensionen i DDA:n tillsattes sedan två retentionskemikalier vid varje försök, C-PAM PL-1520 och EKA NP-780 i varierande mängder. Efter avvattningen i DDA:n pressades filmen vid olika tryck och tider för att därefter mäta filmernas ytvikt och syrgasbarriär. Den film som ansågs mest lämplig gällande avvattning i DDA under försöken var vid 0,2 % med 90 % MFC och 10 % bärarfibrer. Filmen gav den högsta retentionen, en god syrgasbarriär och var lätt att hantera. Det som kan ses från resultaten av syrgasbarriären är att vid 0,2 % med 90 % MFC och 10 % bärarfibrer erhölls det lägsta OTR (oxygen transmission rate) -värdet på 0,53 vilket visar på en bra syrgasbarriär. Retentionen för det försöket var det högsta på 87,1 % medan avvattningstiden låg på närmare 250 sekunder. Avvattningstiderna var höga, dock så var det vid denna totalkoncentration ibland svårt att se när avvattningen avslutades då tiden klockades manuellt. Det som kan ses utifrån resultaten är att bärarfibrerna inte påverkar filmerna negativt utan kan gynna både så retentionen och syrgasbarriären blir bättre, dock fås en högre ytvikt och avvattningstiderna blir längre.
Through laboratory experiments, dewatering and retention of nanocellulose in a DDA (Dynamic Drainage Analyzer) were analysed. By adding retention chemicals in varied amounts, the effects on the dewatering was shown. The Job initiator was Innventia and the laboratory work were made at SP's laboratory where the DDA instrument was available. The DDA instrument is similar to the machine that is used for paper manufacturing in a large scale and therefore, it could be possible to dewater nanocellulose on a similar instrument. The goal of the thesis was to develop a nanocellulose film with good barrier properties but also to see how adding carrier fibers effect the properties of the film. The goal was also to see if the retention and dewatering time of nanocellulose are connected and whether it is possible to obtain repeatable results. Two different wires were also examined in the laboratory experiments in a DDA, the Albanywire and the Stratexwire. The Albany wire was denser than the Stratex wire and the effect that the density caused on retention and dewatering time was examined. Nanocellulose or Microfibrillated cellulose (MFC) is a new and renewable material that is made from wood fibers and is characterized by its gelatinous appearance. [4] Nanocellulose is suited for a variety of products, such as barriers, alone in the form of films or mixed in products. In the manufacture of nanocellulose a homogenizer is used which decomposes cellulose fibers to fibrils fibril aggregate. This was previously a problem while the fibers clogged the homogenizer and the production had a high energy consumption. [4] When it comes to making a nanocellulose film the problems with dewatering remains. The nanocellulose was diluted to the desired concentration and before the laboratory experiments it was run through a homogenizer, to disperse the fibrils in the liquid after the dilution. The carrier fibers was prepared in a blender with two liters of tap water before it was added to the homogenized nanocellulose. During the experiment in the DDA the amount and proportion of the MFC (microfibrillar cellulose) and carrier fibers (Modorefmassa) was varied. To the MFC and carrier fiber suspension in the DDA two retention chemicals were added in each experiment, C- PAM PL -1520 and EKA NP- 780 in varying amounts. After the dewatering of nanocellulose in the DDA the films were pressed at different pressures and times, thereafter the oxygen permeability was analyzed. The film that was considered the most suitable referring to dewatering in the DDA during the attempts was at 0.2 % with 90 % MFC and 10 % carrier fibers. The film gave the highest retention, a good oxygen barrier and was easy to handle. What can be seen from the results of the oxygen barrier measurement is that at 0.2 % with 90 % MFC and 10% carrier fibers obtained the lowest value OTR (oxygen transmission rate), which indicates on a good oxygen barrier. Retention at this concentration was the highest at 87.1 %, while the drainage time was nearly 250 seconds. The dewatering time was high, however during this concentration it’s sometimes difficult to see when the dewatering ended while the time was clocked manually. Conclusions from the results are that the carrier fibers doesn’t have a negatively effect on the films, rather they can benefit both the retention and oxygen barrier, however a higher paper weight was obtained and the dewatering time became longer.
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Books on the topic "DDAI"

1

Fory ddaw. Talybont, Ceredigion: Y Lolfa, 1989.

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Jones, Shoned Wyn. Fory ddaw. Talybont, Ceredigion: Y Lolfa, 1995.

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Ross, Collins, and Meek Elin, eds. Y ddau Jac. Llandysul: Gwasg Gomer, 2009.

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Anholt, Catherine. Gwynta glaw, heulwen ddaw! Aberystwyth: Cymdeithas Lyfrau Ceredigion, 1995.

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Davies, Elgan Philip. Gêm o ddau hanner. Aberystwyth: Cymdeithas Lyfrau Ceredigion, 1995.

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Lever, Sally-Ann. Ffion a'r ddau ffiaidd. Caerdydd: Camfa, 1997.

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White, Katie. Rhigwm neu ddau eto. Dinbych: Gwasg Gee, 1994.

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Blwyddyn newydd dda. Aberystwyth: Canolfan Astudiaethau Addysg, 2003.

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Wiliam, Urien. Y ddau grwt 'na eto! Llandysul: Gomer, 1994.

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Lewis, W. Gwyn. Codi pontydd i ddau ddiwylliant. [s.l.]: Cymdeithasfa'r Gogledd o Eglwys Bresbyteraidd Cymru, 1992.

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Book chapters on the topic "DDAI"

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Zillner, Sonja. "Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework." In The Elements of Big Data Value, 289–310. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68176-0_12.

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AbstractTo support the process of identifying and scoping data-driven innovation, we are introducing the data-driven innovation (DDI) framework, which provides guidance in the continuous analysis of factors influencing the demand and supply sides of a data-driven innovation. The DDI framework describes all relevant aspects of any generic data-driven innovation and is backed by empirical data and scientific research encompassing a state-of-the-art analysis, an ontology describing the central dimensions of data-driven innovation, as well as a quantitative and representative research study covering more than 90 data-driven innovations. This chapter builds upon a short analysis of the nature of data-driven innovation and provides insights into how to best screen it. It details the four phases of the empirical DDI research study and discusses central findings related to trends, frequencies and distributions along the main dimensions of the DDI framework that could be derived by percentage-frequency analysis.
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Dissemond, Joachim, Regina Renner, and Sigrid Karrer. "Update Wundmanagement DDA." In Fortschritte der praktischen Dermatologie und Venerologie 2012, 582–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-24767-5_81.

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Schumacher, Stefan. "Gesetze des Hywel Dda." In Kindlers Literatur Lexikon (KLL), 1–2. Stuttgart: J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05728-0_4683-1.

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MacLaughlin, Mary M., Elizabeth A. Berger, and David M. Doolin. "A decade of DDA validation." In Development and Application of Discontinuous Modelling for Rock Engineering, 13–31. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003211389-3.

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Kategekwa, Joy. "Prospects for Change in the DDA." In Opening Markets for Foreign Skills: How Can the WTO Help?, 137–56. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03548-2_7.

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Rudy, Carolin. "DDI: nachhaltige Assessments in der Praxis." In Executive Assessment, 187–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46712-1_14.

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Narasimha Mallikarjunan, K., A. Bhuvaneshwaran, K. Sundarakantham, and S. Mercy Shalinie. "DDAM: Detecting DDoS Attacks Using Machine Learning Approach." In Computational Intelligence: Theories, Applications and Future Directions - Volume I, 261–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1132-1_21.

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Yang, Qingqing, Fei Cai, Keizo Ugai, Zhiman Su, and Lingyu Xu. "Numerical Simulation of Granular Flows by DDA." In Earthquake-Induced Landslides, 643–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32238-9_69.

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Tao, Hong. "The High Precision DDA for Ellipse-Generatiom." In Theoretical Foundations of Computer Graphics and CAD, 381–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83539-1_14.

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Spassov, Ivaylo, Valentin Pavlov, Dessislava Petrova-Antonova, and Sylvia Ilieva. "DDAT: Data Dependency Analysis Tool for Web Service Business Processes." In Computational Science and Its Applications - ICCSA 2011, 232–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21934-4_20.

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Conference papers on the topic "DDAI"

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Christie, D. J., H. Diaz-Arauzo, and J. M. Cook. "REACTIONS OF DRUG-DEPENDENT ANTIBODIES WITH METABOLITES OF QUININE (Qn) AND QUINIDINE (Qd)." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644578.

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In many cases of drug-induced immunologic thrombocytopenia (DITP), a metabolite, rather than the native drug, is suspected of provoking the destructive drug-dependent antibodies (DDAB) responsible for this severe hemorrhagic disorder. However, this has not previously been investigated for Qn- and Qd-DDAB. We report evidence that the native drugs, and not their metabolites, are the provocative agents in Qn and Qd DITP. Reactions of Qn- and Qd-DDAB with platelets were studied with the native drugs and four of their metabolites: the N-oxide and 10,11-diol derivatives (quinuclidine ring modifications), the des-methyl derivatives (aromatic quinoline ring modification), and 2'-quininone and 2'-quinidinone (2'-oxo derivatives) (also quinoline ring modifications on Qn and Qd, respectively). Five antibodies were studied:two Group 1 DDAB (specific for compounds with native configuration at asymmetric carbon positions), two Group 2 DDAB (similar to Group 1 DDAB but also known to require the methoxy group on the quinuclidine ring for full activity), and one Group 3 DDAB (reactive with the native drug, its stereoisomer, and several nonmetabolic analogs of both compounds) . Using a complement-dependent 51Cr-lysis assay, the reactions of all DDAB with platelets and the four metabolites were similar to 100-fold weaker when compared to reactions obtained with the native drug, with these exceptions:Group 2 DDAB failed to react with the desmethyl and 2'-oxo metabolites and the Group 3 DDAB failed to react with 2'-oxo Qd. This observation shows that the activity of certain DDAB is critically dependent on the native quinoline ring structure. Importantly, none of the DDAB reacted more strongly with any of the metabolites tested when compared with reactions in the presence of the native drug. These findings indicate that DDAB react with platelets preferentially in the presence of the unaltered Qn and Qd molecules and suggest that, while the role of metabolites cannot be entirely ruled out, the native structure of the drug molecule is sufficient to stimulate production of the antibodies responsible for DITP.
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Zharikov, Ilia, Philipp Nikitin, Ilia Vasiliev, and Vladimir Dokholyan. "DDI-100." In ISCSIC 2020: 2020 4th International Symposium on Computer Science and Intelligent Control. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3440084.3441192.

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Kirli, Ahmet, Chinedum E. Okwudire, and A. Galip Ulsoy. "Limitations of Torque Vectoring As a Backup Safety Strategy for Steer-by-Wire Vehicles due to Vehicle Stability Control." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5190.

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There is growing interest in steer-by-wire (SBW) systems because they provide significant benefits to classical vehicles, and are indispensable to autonomous vehicles. However, an emergency backup strategy is needed to steer a vehicle to safety if its SBW actuators fail completely. Differential drive assisted steering (DDAS), which uses torque vectoring to steer a vehicle, has been proposed as a backup strategy for SBW systems. However, vehicle stability control (VSC) — a required feature in most modern vehicles — also relies on torque vectoring. This paper demonstrates, for the first time, through simulations, that conflicts may arise between VSC and DDAS, rendering DDAS ineffective as a SBW system backup strategy. This preliminary study motivates the need to pay attention to, and develop strategies for addressing these conflicts. As an example, the addition of speed control to DDAS is shown as a potential strategy for mitigating these conflicts.
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Chu, Xu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, and Jingyue Gao. "MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/628.

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Drug-drug interactions (DDIs) are a major cause of preventable hospitalizations and deaths. Recently, researchers in the AI community try to improve DDI prediction in two directions, incorporating multiple drug features to better model the pharmacodynamics and adopting multi-task learning to exploit associations among DDI types. However, these two directions are challenging to reconcile due to the sparse nature of the DDI labels which inflates the risk of overfitting of multi-task learning models when incorporating multiple drug features. In this paper, we propose a multi-task semi-supervised learning framework MLRDA for DDI prediction. MLRDA effectively exploits information that is beneficial for DDI prediction in unlabeled drug data by leveraging a novel unsupervised disentangling loss CuXCov. The CuXCov loss cooperates with the classification loss to disentangle the DDI prediction relevant part from the irrelevant part in a representation learnt by an autoencoder, which helps to ease the difficulty in mining useful information for DDI prediction in both labeled and unlabeled drug data. Moreover, MLRDA adopts a multi-task learning framework to exploit associations among DDI types. Experimental results on real-world datasets demonstrate that MLRDA significantly outperforms state-of-the-art DDI prediction methods by up to 10.3% in AUPR.
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Wang, Yanda, Weitong Chen, Dechang PI, Lin Yue, Sen Wang, and Miao Xu. "Self-Supervised Adversarial Distribution Regularization for Medication Recommendation." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/431.

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Medication recommendation is a significant healthcare application due to its promise in effectively prescribing medications. Avoiding fatal side effects related to Drug-Drug Interaction (DDI) is among the critical challenges. Most existing methods try to mitigate the problem by providing models with extra DDI knowledge, making models complicated. While treating all patients with different DDI properties as a single cohort would put forward strict requirements on models' generalization performance. In pursuit of a valuable model for a safe recommendation, we propose the Self-Supervised Adversarial Regularization Model for Medication Recommendation (SARMR). SARMR obtains the target distribution associated with safe medication combinations from raw patient records for adversarial regularization. In this way, the model can shape distributions of patient representations to achieve DDI reduction. To obtain accurate self-supervision information, SARMR models interactions between physicians and patients by building a key-value memory neural network and carrying out multi-hop reading to obtain contextual information for patient representations. SARMR outperforms all baseline methods in the experiment on a real-world clinical dataset. This model can achieve DDI reduction when considering the different number of DDI types, which demonstrates the robustness of adversarial regularization for safe medication recommendation.
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Lyu, Tengfei, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, and Ji Zhang. "MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/487.

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The interaction of multiple drugs could lead to serious events, which causes injuries and huge medical costs. Accurate prediction of drug-drug interaction (DDI) events can help clinicians make effective decisions and establish appropriate therapy programs. Recently, many AI-based techniques have been proposed for predicting DDI associated events. However, most existing methods pay less attention to the potential correlations between DDI events and other multimodal data such as targets and enzymes. To address this problem, we propose a Multimodal Deep Neural Network (MDNN) for DDI events prediction. In MDNN, we design a two-pathway framework including drug knowledge graph (DKG) based pathway and heterogeneous feature (HF) based pathway to obtain drug multimodal representations. Finally, a multimodal fusion neural layer is designed to explore the complementary among the drug multimodal representations. We conduct extensive experiments on real-world dataset. The results show that MDNN can accurately predict DDI events and outperform the state-of-the-art models.
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Vickery, John. "DDA Management With Predictive Modeling." In Charleston Conference. Purdue University Press, 2017. http://dx.doi.org/10.5703/1288284316457.

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Scott, Kerry, Jim Dooley, and Martha Hruska. "Collective Collection Building and DDA." In Charleston Conference. Against the Grain, 2014. http://dx.doi.org/10.5703/1288284315306.

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Yang, Chaoqi, Cao Xiao, Fenglong Ma, Lucas Glass, and Jimeng Sun. "SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/514.

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Medication recommendation is an essential task of AI for healthcare. Existing works focused on recommending drug combinations for patients with complex health conditions solely based on their electronic health records. Thus, they have the following limitations: (1) some important data such as drug molecule structures have not been utilized in the recommendation process. (2) drug-drug interactions (DDI) are modeled implicitly, which can lead to sub-optimal results. To address these limitations, we propose a DDI-controllable drug recommendation model named SafeDrug to leverage drugs’ molecule structures and model DDIs explicitly. SafeDrug is equipped with a global message passing neural network (MPNN) module and a local bipartite learning module to fully encode the connectivity and functionality of drug molecules. SafeDrug also has a controllable loss function to control DDI level in the recommended drug combinations effectively. On a benchmark dataset, our SafeDrug is relatively shown to reduce DDI by 19.43% and improves 2.88% on Jaccard similarity between recommended and actually prescribed drug combinations over previous approaches. Moreover, SafeDrug also requires much fewer parameters than previous deep learning based approaches, leading to faster training by about 14% and around 2× speed-up in inference.
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"Approvals, Slips, and DDA! Oh My! The Yellow Brick Road to Collaborative Approval and DDA Profiling." In Charleston Library Conference. Purdue Univeristy, 2020. http://dx.doi.org/10.5703/1288284317172.

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Abstract:
In the last several years, approval profiling has changed significantly and grown increasingly complex, particularly due to the prevalent shift toward collecting in electronic formats. While approval profiles have been predominantly e-preferred for some time, the growth of demand-driven acquisition (DDA) has led to new license models, modes of acquisition, and tighter integration of DDA with approvals. With the advent of the DDA-preferred approval plan came options for the inclusion of multiple e-book platforms as well as complexities involving publisher embargoes. Additionally, the numerous approval and DDA profile parameters, workflow options, and administrator settings vary widely, resulting in a seemingly endless array of possibilities that can affect how titles are ultimately profiled. The task of creating a new profile or preparing profile reviews can be overwhelming, especially for those new to profiling or trying a new vendor. However, it can and should be a collaborative experience with vendors that leads to more than just great profiles. While library staff should strive to learn how to make the most of what a vendor offers, vendors should inquire about the library’s collection development strategies, issues, and needs. Vendors can also share current trends and offer advice modeled on how other libraries handle similar issues, as well as gather feedback for potential development. This paper supplies tips that will help library staff who are preparing to create or review approval or DDA profiles or to profile with new vendors, to be better prepared in order to maximize their time profiling with vendors.
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Reports on the topic "DDAI"

1

Youmans, Amanda, and Alexis Trahan. Comparison of DDSI Experimental and Simulated Results. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1463579.

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2

Barkow, Ingo, ed. Developing a Model-Driven DDI Specification. Inter-university Consortium for Political and Social Research (ICPSR), 2013. http://dx.doi.org/10.3886/ddiworkingpaper04.

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Vardigan, Mary, ed. A Qualitative Data Model for DDI. Inter-university Consortium for Political and Social Research (ICPSR), 2013. http://dx.doi.org/10.3886/ddiworkingpaper05.

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4

Amin, Alerk, Ingo Barko, Stefan Kramer, David Schiller, and Jeremy Williams. Representing and Utilizing DDI in Relational Databases. Inter-university Consortium for Political and Social Research (ICPSR), 2011. http://dx.doi.org/10.3886/ddiotherpapers02.

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Amin, Alerk, Ingo Barko, Stefan Kramer, David Schiller, and Jeremy Williams. Representing and Utilizing DDI in Relational Databases. Inter-university Consortium for Political and Social Research (ICPSR), 2011. http://dx.doi.org/10.3886/ddiothertopics02.

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Vale, Steven. Exploring the relationship between DDI, SDMX and the Generic Statistical Business Process Model. Inter-university Consortium for Political and Social Research (ICPSR), 2011. http://dx.doi.org/10.3886/ddiothertopics01.

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Ramsey, Jr, James L., .), Brad Melton, Patrick Finley, John Brockman, Chad E. Peyton, Mark David Tucker, et al. Biological restoration of major transportation facilities domestic demonstration and application project (DDAP): technology development at Sandia National Laboratories. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/889000.

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Henzl, Vladimir. 5 years of research of Differential Die-Away (DDA) Instrument within the Next Generation Safeguards Initiative. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1410613.

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