Relevant bibliographies by topics / MDD

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Academic literature on the topic 'MDD'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "MDD"

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Alvarez-Mon, Miguel A., Miguel A. Ortega, Cielo García-Montero, Oscar Fraile-Martinez, Guillermo Lahera, Jorge Monserrat, Ana M. Gomez-Lahoz, et al. "Differential malondialdehyde (MDA) detection in plasma samples of patients with major depressive disorder (MDD): A potential biomarker." Journal of International Medical Research 50, no. 5 (May 2022): 030006052210949. http://dx.doi.org/10.1177/03000605221094995.

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Objective To measure plasma levels of malondialdehyde (MDA), a marker of oxidative stress (OS), in patients with major depressive disorder (MDD) compared with healthy control (HC) subjects in order to determine if it is a possible biomarker of depression. Methods This prospective cross-sectional study enrolled patients with MDD and HC subjects. The plasma levels of MDA were measured using a commercially-available colorimetric assay. Results A total of 30 patients with MDD and 20 HC subjects with similar sex, age and body mass index distribution were enrolled in the study. Patients with MDD had significantly higher plasma levels of MDA than the HC subjects. Receiver operating characteristic curve analysis for plasma MDA levels in patients with MDD demonstrated an area under the curve of 0.9767. Conclusion The findings of this current study provide further evidence of the role pathophysiological relevance of OS and MDA in MDD. This study provides the basis for the use of MDA as a biomarker for MDD.
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Hanuschak, J., M. P. Louis-Auguste, G. De Palma, E. Verdu, R. Anglin, M. Surette, S. M. Collins, and P. Bercik. "A50 TRANSFER OF DEPRESSIVE-LIKE PHENOTYPE TO GNOTOBIOTIC MICE DEPENDS ON MICROBIAL FEATURES SPECIFIC TO INDIVIDUAL PATIENTS." Journal of the Canadian Association of Gastroenterology 3, Supplement_1 (February 2020): 59–60. http://dx.doi.org/10.1093/jcag/gwz047.049.

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Abstract Background Major depressive disorder (MDD) affects approximately 4.4% of the global population. Despite its high prevalence, little is known about the mechanisms underlying this disorder. Recent studies in both humans and rodents have suggested that the intestinal microbiota may play a role in depression. Altered microbiota composition has been found in a subset of MDD patients. Preclinical studies have suggested that fecal microbiota transplant using pooled MDD patient samples can induce depressive-like behaviour in rodents. We have previously shown that the use of different microbiota donors with irritable bowel syndrome results in the induction of different phenotypes in recipient mice. Thus, we have hypothesized that pooling microbiota samples abrogates features that are unique to individual donors. Aims (1) Investigate whether the transfer of individual MDD patient microbiota can induce depressive-like behaviour in germ-free (GF) mice (2) Identify features of individual MDD patient microbiota that are associated with the depressive-like phenotype Methods GF NIH Swiss mice of both sexes (min. n=10 per group, total n=110) were colonized with either fecal microbiota from a single donor, MDD patient (MDD1-4) or matched healthy control (HC1-4), or pooled fecal microbiota from MDD1-4 or HC1-4. Mouse behaviour was assessed, using the open field test, three chamber sociability assay, tail suspension test, and sucrose preference test. Stool samples were collected throughout the experiment for 16S rRNA gene sequencing. Results Mice colonized with microbiota from patient MDD1 exhibited depressive-like behaviour, as assessed by the sucrose preference test and sociability assay, when compared to mice colonized with HC1 microbiota. This was not true for mice colonized with individual microbiota from the other three patients (MDD2-4) or with pooled MDD microbiota. Comparative analysis of the 16S data revealed a significant difference in Faith’s Phylogenetic Diversity between MDD1 microbiota and pooled MDD microbiota. Four bacterial species were found to be significantly associated with the depressive-like phenotype in mice: Bacteroides acidifaciens, Bacteroides ovatus, unclassified species of Phascolarctobacterium (Veillonellacae family), and Eggerthella lenta. The relative abundances of these species did not differ significantly between the two pooled groups. Conclusions Microbiota from some, but not all, MDD patients can induce a depressive-like phenotype in GF mice. The ability to induce depressive-like behaviour in GF mice is lost when microbiota from multiple patients is pooled. Specific bacterial species may be responsible for the successful transfer of the depressive-like phenotype to mice. Funding Agencies NIH
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Homorogan, Claudia, Diana Nitusca, Virgil Enatescu, Philip Schubart, Corina Moraru, Carmen Socaciu, and Catalin Marian. "Untargeted Plasma Metabolomic Profiling in Patients with Major Depressive Disorder Using Ultra-High Performance Liquid Chromatography Coupled with Mass Spectrometry." Metabolites 11, no. 7 (July 20, 2021): 466. http://dx.doi.org/10.3390/metabo11070466.

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Major depressive disorder (MDD) is a neuropsychiatric illness with an increasing incidence and a shortfall of efficient diagnostic tools. Interview-based diagnostic tools and clinical examination often lead to misdiagnosis and inefficient systematic treatment selection. Diagnostic and treatment monitoring biomarkers are warranted for MDD. Thus, the emerging field of metabolomics is a promising tool capable of portraying the metabolic repertoire of biomolecules from biological samples in a minimally invasive fashion. Herein, we report an untargeted metabolomic profiling performed in plasma samples of 11 MDD patients, at baseline (MDD1) and at 12 weeks following antidepressant therapy with escitalopram (MDD2), and in 11 healthy controls (C), using ultra-high performance liquid chromatography coupled with electrospray ionization-quadrupole-time of flight-mass spectrometry (UHPLC-QTOF-(ESI+)-MS). We found two putative metabolites ((phosphatidylserine PS (16:0/16:1) and phosphatidic acid PA (18:1/18:0)) as having statistically significant increased levels in plasma samples of MDD1 patients compared to healthy subjects. ROC analysis revealed an AUC value of 0.876 for PS (16:0/16:1), suggesting a potential diagnostic biomarker role. In addition, PS (18:3/20:4) was significantly decreased in MDD2 group compared to MDD1, with AUC value of 0.785.
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Bowo, Prasetyo, Sumarmi Sumarmi, and Sri Hardiatmi. "PENERAPAN MACAM DAN DOSIS PUPUK ORGANIK TERHADAP PERTUMBUHAN DAN HASIL TANAMAN GANDUM (Triticum aestivum L.)." Innofarm:Jurnal Inovasi Pertanian 21, no. 1 (November 27, 2019): 1. http://dx.doi.org/10.33061/innofarm.v21i1.3311.

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Penelitian tentang “Penerapan macam dan dosis pupuk organik terhadap pertumbuhan dan hasil tanaman Gandum (Triticum aestivum L.)’’ telah dilaksanakan tanggal 08 November 2018 sampai 31 januari 2019 di Green House Fakultas Pertanian Universitas Slamet Riyadi Surakarta. Penelitian ini bertujuan untuk mengetahui dan menentukan pengaruh terbaik terhadap pertumbuhan dan hasil tanaman gandum. Rancangan penelitian yang digunakan adalah rancangan acak lengkap yang terdiri dari 7 perlakuan dan 5 ulangan. Perlakuan : 1) MD0 = tanpa pupk (kontrol), 2) MD1= pupuk kandang dosis 200 g/polybag, 3) MD2 = pupuk kandang dosis 400 g/polybag , 4) MD3 = pupuk guano dosis 200 g/polybag, 5) MD4 = pupuk guano dosis 400 g/polybag, 6) MD5 = pupuk kascing dosis 200 g/polybag, 7) MD6 = pupuk kascing dosis 400 g/polybag. Hasil penelitian menunjukkan bahwa : 1) penerapan macam dan dosis pupuk organik berpengaruh terhadap tinggi tanaman, jumlah daun, dan jumlah anakan, 2) penerapan macam dan dosis pupuk organik tidak berpengaruh terhadaap berat segar brangkasan, berat kering brangkasan, jumlah biji, berat biji, dan berat 100 biji, 3) macam dan dosis pupuk terbaik adalah MD2 (pupuk kandang dosis 400 g/polybag) karena dapat meningkatkan jumlah daun dan jumlah anakan.
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Carabaza, Ana Moyeda, Mary Murimi, Alemneh Kabeta Daba, and Jessie Vipham. "Factors Associated With Recommended Complementary Feeding Practices Among Children in Sidama and Oromia Regions in Ethiopia." Current Developments in Nutrition 5, Supplement_2 (June 2021): 164. http://dx.doi.org/10.1093/cdn/nzab035_072.

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Abstract Objectives To determine complementary feeding practices (CFP) among 6-to-23-month-old children and to identify associations between maternal and household characteristics with CFP. Methods Cross-sectional study conducted among rural communities located within the Sidama and Oromia regions in Ethiopia. Pairs of mothers and their children (N = 190) were randomly selected to participate in the survey. Data was collected using the WHO Infant and Young Child Feeding indicators, Household Food Insecurity Access Scale, and Knowledge on CFP. Multivariate logistic regressions were used to analyze factors associated with CFP. Results Most (87.4%) of the children achieved minimum meal frequency, while only 27.4% achieved minimum dietary diversity (MDD) and 26.8% minimum acceptable diet (MAD). Majority (80%) of the households were food insecure, with 40% of the households reporting severe food insecurity. Half (50.0%) of participating mothers showed poor levels of knowledge on CFP. Children of employed mothers were more likely to meet MDD (P = .014) and achieve MAD (P = .034). Furthermore, children of mothers that had adequate knowledge on the recommended CFP were more likely to achieve MDD (P < .001) and MAD (P < .001). In contrast, children living in households with an estimated annual income lower than $254 dollars were less likely to achieve MDD (P < .05) and MAD (P < .05). Similarly, children living in households with moderate to severe levels of food insecurity were less likely to achieve MDD (P = .003 and P = .012, respectively) and MAD (P = .005 and P = .023, respectively). Conclusions Complementary feeding practices were suboptimal in the Sidama and Oromia region in Ethiopia. Low household income and food insecurity seem to hinder the achievement of MDD and MAD, while maternal employment and knowledge on CFP contributed to a diversified and adequate diet among children. Thus, policies and interventions that target poverty, food insecurity, maternal unemployment, and nutrition education are necessary for the improvement of CFP. Funding Sources United States Agency for International Development (USAID) Bureau for Food Security as part of Feed the Future Innovation Lab for Livestock Systems.
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Wormer, Jill R., Arti Shankar, Michael Boele Van Hensbroek, Ashna D. Hindori-Mohangoo, Hannah Covert, Maureen Y. Lichtveld, and Wilco C. W. R. Zijlmans. "Poor Adherence to the WHO Guidelines on Feeding Practices Increases the Risk for Respiratory Infections in Surinamese Preschool Children." International Journal of Environmental Research and Public Health 18, no. 20 (October 13, 2021): 10739. http://dx.doi.org/10.3390/ijerph182010739.

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Poor feeding practices in infants and young children may lead to malnutrition, which, in turn, is associated with an increased risk of infectious diseases, such as respiratory tract infections (RTIs), a leading cause of under-five mortality. We explored the association between RTIs and the WHO infant and young child feeding (IYCF) indicators: minimum dietary diversity (MDD), minimum meal frequency (MMF), and minimum acceptable diet (MAD), among infants and preschool children in Suriname. A validated pediatric food frequency questionnaire was used and data on RTIs, defined as clinical care for fever with respiratory symptoms, bronchitis, or pneumonia were obtained. Associations between feeding indicators and RTIs were explored using hierarchical logistic regression. Of 763 children aged 10–33 months, 51.7% achieved the MDD, 88.5% the MMF, and 46.5% the MAD. Furthermore, 73% of all children experienced at least one upper and/or lower RTI. Children meeting the MDD and MAD had significantly lower odds on RTIs (OR 0.53; 95%CI: 0.37–0.74, p < 0.001; OR 0.55; 95%CI: 0.39–0.78, p < 0.001, respectively). The covariates parity and household income were independently associated with RTIs. In conclusion, MDD and MAD were associated with (upper) RTIs. Whether these indicators can be used as predictors for increased risk for RTIs should be assessed in future prospective studies.
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Puspitasari, Mardiana Dwi, and Maria Gayatri. "Indonesia Infant and Young Child Feeding Practice: The Role of Women’s Empowerment in Household Domain." Global Journal of Health Science 12, no. 9 (July 13, 2020): 129. http://dx.doi.org/10.5539/gjhs.v12n9p129.

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Previous studies showed the significant association between women&rsquo;s empowerment and infant and young child feeding (IYCF) practice. Only around 40% of Indonesian children met adequate IYCF practice. Hence, each dimension of women&rsquo;s empowerment in the household domain must be explored. We carried out a dataset of the 2017 Indonesia Demographic and Health Survey, with samples of 4,880 mothers of reproductive age in a marriage relationship with their last-born child aged 6-23 months. Logistic regression was applied. Mother with legal asset ownerships had lower odds of her child meeting (aOR: 0.83; 95% CI: 0.72, 0.95) minimum dietary diversity (MDD), (aOR: 0.75; 95% CI: 0.65, 0.87) minimum meal frequency (MMF) and (aOR: 0.74; 95% CI: 0.61, 0.90) minimum acceptable diet (MAD). Mother who could control her own earnings had higher odds of her child meeting MDD (aOR: 1.52; 95% CI: 1.32, 1.74) and MAD (aOR: 1.62; 95% CI: 1.34, 1.94). Employed mother had higher odds of meeting MMF (aOR: 1.58; 95% CI: 1.38, 1.82). Mother who did not approve of intimate partner violence was more likely to feed her child with MDD (1.39 times), MMF (1.41 times) and MAD (2.04 times). Mother with three or more parity had lower odds of her child meeting MDD (aOR: 0.81; 95% CI: 0.79, 0.93), MMF (aOR: 0.84; 95% CI: 0.72, 0.99) and MDD (aOR: 0.80; 95% CI: 0.65, 1.00). Mother who did not approve towards domestic violence, was working, controlled her assets and had a maximum of two parity was associated with official IYCF recommendation.
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Dou, Nan, Evaniya Shakya, Raphia Ngoutane, Roger Sodjinou, Christine Kaligirwa, Anne-Sophie Le Dain, Aashima Garg, et al. "Trends and Influencing Factors of Complementary Feeding Practices in Niger: An Analysis of National Surveys From 2000 – 2018." Current Developments in Nutrition 5, Supplement_2 (June 2021): 639. http://dx.doi.org/10.1093/cdn/nzab045_021.

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Abstract Objectives To examine the trends and influencing factors of suboptimal complementary feeding (CF) practices among children aged 6–23 months in Niger using national data from 2000 to 2018. Methods Using data from the 2000 Multiple Indicator Cluster Survey, 2012 Demographic and Health Surveys (DHS), and 2018 Standardized Monitoring and Assessment of Relief and Transitions survey in Niger, the trends and predictors of WHO-UNICEF CF indicators including timely introduction of complementary foods (INTRO), minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable diet (MAD) were estimated. Using the most completed data in CF and influencing factors (available from 2012 DHS), multilevel logistic regression models were applied to identify factors at the individual, household and community levels that were associated with meeting INTRO, MMF, MDD, and MAD. Results The weighted proportion of children aged 6–8 months meeting INTRO increased from 56.0% in 2000 to 84.4% in 2018. The weighted proportion of children meeting MMF (51.3% to 77.9%), MDD (9.8% to 14.2%), and MAD (5.6% to 10.9%) also increased between 2012 - 2018. At the individual level, children with mothers who were employed had higher odds of meeting all four indicators as compared to those whose mothers were unemployed. Older child age and maternal exposure to media were significantly associated with higher odds of meeting MMF, MDD, and MAD. Maternal education and child birth weight greater or smaller than average (reference) were positively associated with the odds of meeting MMF and MAD, and antenatal iron supplementation and currently breastfeeding were positively associated with the odds of achieving MDD and MAD. At the household level, the odds of meeting MMD and MAD were higher among children from wealthier households. At the community level, the odds of meeting INTRO and MMF were higher among children from communities with greater access to health services. Conclusions Despite the improvement in CF practices since 2000, only 10% of children from 6–23 months received minimum acceptable diets. Factors associated with CF were distributed across individual, household and community levels, suggesting the need for multi-level strategies to improve child nutrition in Niger. Funding Sources UNICEF West and Central Africa Regional Office (Grant # 43279190).
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Carroll, Bernard J. "CAD-MDD." Journal of Clinical Psychiatry 75, no. 01 (January 15, 2014): 85. http://dx.doi.org/10.4088/jcp.13lr08758.

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Scarpa, Giulia, Lea Berrang-Ford, Maria Galazoula, Paul Kakwangire, Didacus B. Namanya, Florence Tushemerirwe, Laura Ahumuza, and Janet E. Cade. "Identifying Predictors for Minimum Dietary Diversity and Minimum Meal Frequency in Children Aged 6–23 Months in Uganda." Nutrients 14, no. 24 (December 7, 2022): 5208. http://dx.doi.org/10.3390/nu14245208.

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Adequate complementary foods contribute to good health and growth in young children. However, many countries are still off-track in achieving critical complementary feeding indicators, such as minimum meal frequency (MMF), minimum dietary diversity (MDD) and minimum acceptable diet (MAD). In this study, we used the 2016 Ugandan Demographic Health Survey (UDHS) data to assess child feeding practices in young children aged 6–23 months. We assess and describe complementary feeding indicators (MMF, MDD and MAD) for Uganda, considering geographic variation. We construct multivariable logistic regression models—stratified by age—to evaluate four theorized predictors of MMF and MDD: health status, vaccination status, household wealth and female empowerment. Our findings show an improvement of complementary feeding practice indicators in Uganda compared to the past, although the MAD threshold was reached by only 22% of children. Children who did not achieve 1 or more complementary feeding indicators are primarily based in the northern regions of Uganda. Cereals and roots were the foods most consumed daily by young children (80%), while eggs were rarely eaten. Consistent with our hypotheses, we found that health status, vaccination status and wealth were significantly positively associated with MDD and MMF, while female empowerment was not. Improving nutrition in infant and young children is a priority. Urgent nutritional policies and acceptable interventions are needed to guarantee nutritious and age-appropriate complementary foods to each Ugandan child in the first years of life.
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Dissertations / Theses on the topic "MDD"

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Arndt, Bruno Felipe. "MME-MDD : um método para manutenção e evolução de sistemas baseados no MDD." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8503.

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Submitted by Alison Vanceto (alison-vanceto@hotmail.com) on 2017-02-07T10:21:15Z No. of bitstreams: 1 DissBFA.pdf: 12687971 bytes, checksum: 19789fb95e5c01987f5067e083d04248 (MD5)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Model-Driven Development (MDD) is proposed to reduce the semantic gap between problem and solution/implementation domains. Some tools are used, and the code generator is commonly used in this context. These generators are often implemented using templates. A Reference Implementation (RI) favoring the development/ maintenance of software facilitates this implementation’s types. However, RI requires a code migration process which consists in artifacts’ synchronization, and it is responsible for 20% to 25% of the time spent on development. The literature has no describe automatic solutions, but the group that this reaserch was included has develop tools that automate this process and reduce the time spent on some tasks. But each task has a different performance in relation to time spent, so automation of some tasks can be disadvantageous. Few reports describe such tasks and which ones are capable of automatic code migration. The aim of this study is to investigate the maintain and evolution process to identify and describe the types of maintain and evolution tasks that are essentially. Based on this study, a method (MME-MDD) that drives the developer during that proccess to guide the developer during the realization of each task, with the aim to maximize the benefits of this approach. The MME-MDD was validated by a case study and a empirical study and the method showed effective in most of tasks. In addition, studies show that using the proposed method brought a gain in the quality of the source code.
O MDD (Model-Driven Development) tem como proposta a redução da distância semântica entre os domínios problema e solução/implementação. Para isso, são utilizadas algumas ferramentas, sendo o gerador de código comumente usado neste contexto. Os geradores de código são frequentemente implementados com a utilização de templates. Para facilitar este tipo de implementação, usualmente é empregado uma Implementação de Referência (IR), favorecendo a evolução/ manutenção do software. Contudo, a IR traz a necessidade do processo de migração de código, que consiste na sincronização entre o seu código-fonte e os templates, sendo que este é responsável por 20 a 25% do tempo gasto no desenvolvimento. Na literatura não há relatos de solução automatizada, mas o grupo no qual esta pesquisa se insere vem desenvolvendo ferramentas que automatizam este processo e reduzem o tempo aplicado em algumas tarefas testadas. Porém, cada tarefa tem um desempenho diferente em relação ao tempo gasto e, portanto, a automação de algumas tarefas pode ser desvantajosa. Existem poucos relatos na literatura descrevendo tais tarefas e quais são os passos necessários para realizá-las. O objetivo deste estudo foi a investigação do processo de manutenção e evolução de sistemas baseados em MDD com a finalidade de identificar e descrever os tipos de tarefas de manutenção e evolução. Com base nesse estudo, foi elaborado o método MMEMDD que conduz o desenvolvedor durante o processo de manutenção e evolução de sistemas, visando guiar o desenvolvedor durante a realização de cada um dos tipos de tarefas, com o intuito de maximizar os benefícios da utilização dessa abordagem. O método foi validado por meio de um estudo de caso e um estudo experimental, sendo que o método se mostrou efetivo em grande parte das tarefas testadas. Além disso, os estudos apontaram que a utilização do método proposto trouxe ganho na qualidade do código-fonte.
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Lorio, Ryan. "Feasibility of Determining Radioactivity in Lungs Using a Thyroid Uptake Counter." Thesis, Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-08102005-173443/.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2006.
Ansari, Armin, Committee Member ; Hertel, Nolan, Committee Chair ; Wang, Chris, Committee Member. Includes bibliographical references.
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Zeng, Yanni. "The identification of risk factors for major depressive disorder." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28702.

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For complex traits, population genetic studies ask: to what extent do genetic variation and environmental variation influence, determine and predict phenotypic variation? More specifically, researchers ask two questions. First, how much of the phenotypic variation is genetic in origin? Second, if the genetic component of a trait has been ascertained, then by what mechanisms do the causal variants contribute to the genetic variation that impacts on the phenotype? Previous studies have indicated a polygenic structure for many complex traits, which means that the genetic variation in those traits is the result of the cumulative effect from hundreds or even thousands of genetic variants. To further decipher the polygenic genetic architecture of a complex trait, genetic studies aim to identify the number, the location in the genome, and the distribution of the effect sizes of causal variants, as well as their individual and interacting effects. Linkage analysis and genome-wide association studies (GWAS), either based on single variants or sets of variants categorized by functional annotations, can be applied to map the potentially causal variants in the genome. The identification of disease-associated loci, however, is only the starting point in identifying causal variants. Causal variants are usually difficult to distinguish from the large number of variants in linkage disequilibrium (LD) within the associated loci, and may be in incomplete LD with genotyped variants. Computational prediction integrated with multi-level ‘Omic’ data will help the prioritization of candidate causal variants, which then become important targets for experimental validation (Chapter 1). Major depressive disorder (MDD) is a complex trait, contributes the second most important burden to global disease. Both genetic and environmental components have been suggested for this disorder in previous studies, although a clear partitioning of the contribution of each component and the identification of major contributing components is yet to be achieved. In efforts to map causal genetic variants, genome-wide association studies of MDD have identified few significant associations so far. The polygenic architecture combined with the widespread clinical and genetic heterogeneity of MDD between populations may impede the identification of causal variants (Chapter 2). In this thesis, I will present three studies; the first study estimated the proportions of the phenotypic variation that are genetic or familial environmental in origin in two depression definitions(chapter 3), followed by two studies where distinct (non- GWAS) methods were used to identify candidate causal genetic variants for MDD (chapter 4,5). In detail, in chapter 3, a variance component analysis was applied to GS:SFHS (Generation Scotland: Scottish Family Health Study) to investigate the relative genetic and environmental contributions to diagnosed major depressive disorder (MDD) and self-declared depression (SDD). Models for MDD and SDD that simultaneously included genetic and environmental effects suggested that narrow-sense heritability could be inflated by the environments shared by nuclear family members. The most parsimonious models selected for both MDD and SDD included SNP and pedigree-associated genetic effects and the effect of the common environment of couples. In chapter 4, I integrated pathway analysis and multi-level regional heritability analyses in a pipeline designed to identify MDD-associated pathways. The pipeline was applied to two independent GWAS studies (GS:SFHS and PGC1-MDD). The NETRIN1 signalling pathway showed the most consistent association with MDD across the two samples. Polygenic risk scores (PRSs) from this pathway showed predictive accuracy better than whole-genome PRSs when using AUC statistics, logistic regression and the linear mixed model. In chapter 5, genome-wide Haplotype-block-based regional heritability mapping (HRHM) was applied to identify haplotype blocks significantly contributing to MDD. A haplotype block across a 24kb region within the TOX2 gene reached genotype-wide significance in GS:SFHS. Single-SNP and haplotype based association tests were used to localize the association signal within the region identified by HRHM, and demonstrated that five out of nine genotyped SNPs and two haplotypes were significantly associated with MDD. The results were replicated in the UK-Ireland group in PGC2-MDD. The brain expression of TOX2 and brain-specific LncRNA RP1-269M15.3 were also significantly regulated by MDD-associated SNPs within the identified haplotype block. The three studies highlight the value of the application of multiple population genetics and bioinformatics methods to multiple family-based and population-based cohorts in identification of risk factors for MDD.
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Waldemarin, Ricardo Cacheta. "Suporte ao desenvolvimento e à integração de ontologias no domínio biomédico." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-18112015-100645/.

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O surgimento e o uso crescente de novas tecnologias têm levado à produção e armazenamento de grandes volumes de dados biomédicos. Tais dados são provenientes de diferentes técnicas, armazenados em formatos de representação diversos e utilizados por diferentes ferramentas. Esta heterogeneidade representa um empecilho ao maior uso desses dados em abordagens integrativas de pesquisa como, por exemplo, a biologia sistêmica. Neste cenário, artefatos de modelagem conceitual, tais como ontologias, têm sido utilizados para organizar e integrar dados heterogêneos de uma forma coerente. A OBO Foundry representa, atualmente, o maior esforço no desenvolvimento de ontologias biomédicas de forma colaborativa. Dentre as ontologias desenvolvidas pela OBO Foundry, destaca-se Ontologia de Relacionamentos (RO-OBO). A RO-OBO provê definições formais para um conjunto de relacionamentos de propósito geral utilizados nas ontologias biomédicas e busca promover a criação de ontologias mais corretas e integráveis. Um perfil UML foi proposto para representar formalmente o conjunto de conceitos e relacionamentos existentes na RO-OBO. Este perfil permite desenvolver modelos UML utilizando os conceitos presentes nesta ontologia, bem como torna possível o desenvolvimento de suporte à validação sintática dos modelos criados em relação a um conjunto de restrições formalmente definidas. Adicionalmente, percebe-se na literatura que o suporte à integração de modelos UML e ontologias OBO, em particular as ontologias representadas na linguagem OBO File Format, é limitado. Neste sentido, este trabalho teve como objetivo geral investigar o suporte ao desenvolvimento de ontologias biomédicas na linguagem UML. De forma específica, investigou-se o desenvolvimento de um editor gráfico, chamado OBO-RO Editor, para o suporte à construção de ontologias utilizando o perfil UML proposto, bem como a integração de ontologias desenvolvidas utilizando UML e ontologias desenvolvidas na linguagem OBO File Format. De forma a atingir nossos objetivos, uma arquitetura de referência foi definida e um processo de desenvolvimento orientado a modelos foi utilizado. A arquitetura definida é composta por uma série de artefatos inter-relacionados os quais são transformados (semi) automaticamente em código de aplicação, possibilitando a obtenção de ciclos de desenvolvimento mais rápidos e confiáveis. O OBO-RO Editor disponibiliza um conjunto de elementos gráficos de modelagem definidos a partir do perfil UML proposto, bem como provê mecanismos para a validação sintática (semi) automática de uma ontologia desenvolvida segundo as restrições definidas neste perfil. Adicionalmente, o OBO-RO Editor também provê suporte à integração de modelos UML a outras ontologias da OBO Foundry, permitindo o reuso e o desenvolvimento menos propenso a erros de ontologias no domínio biomédico.
The development and increasing use of new technologies has resulted in the production and storage of a huge amount of biomedical data. These data are produced using different techniques, stored in different formats and consumed by different (software) tools. This heterogeneity hinders effective data usage in integrative research approaches, including systems biology. In this scenario, conceptual modeling artifacts, such as ontologies, have been used to organize and integrate heterogeneous data in a coherent manner. Nowadays, the OBO Foundry represents the most important effort for the collaborative development of ontologies in the biomedical domain. The OBO Relation Ontology (OBO-RO) can be considered one of the most relevant ontologies in the domain. This ontology provides formal definitions for a number of general purpose relationships used in biomedical ontologies, thus facilitating the integration of existing ontologies and the development of new ontologies in the domain. An UML profile has been proposed to formally define the different types of concepts and relationships provided by the OBO-RO. This profile enables the creation of UML models using such concepts and allows the development of support for the automatic validation of these models based on formal constraints. Additionally, the support for the integration between UML models and OBO ontologies, particularly ontologies represented using the OBO File Format, is limited. In this sense, this project aimed at investigating the support for the development of biomedical ontologies using UML. In particular, we investigated the development of a graphical editor, named OBO-RO Editor, to support ontology development using the proposed UML profile. Additionally, we also investigated the integration of ontologies developed using UML and ontologies developed using the OBO File Format. In order to achieve our goals, we have defined a reference architecture and a model-driven development process. The reference architecture consists of a number of related artifacts that are transformed to application code (semi) automatically. Such characteristic allowed us to obtain faster and more reliable development cycles. The OBO-RO Editor provides a number of graphical elements defined in the proposed UML profile for the modeling of biomedical ontologies and support the (semi) automatic syntactic validation of such ontologies against the contraints defined in the profile. Additionally, OBO-RO Editor also provides support for the integration of developed UML models and other OBO ontologies, allowing the reuse and the accurate development of biomedical ontologies.
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Basso, F?bio Paulo. "Features-oriented model-driven architecture : uma abordagem para MDD." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2006. http://tede2.pucrs.br/tede2/handle/tede/5213.

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O desenvolvimento de software dirigido por modelos, com a MDA, requer o refinamento de modelos de sistemas, inicialmente especificados em alto n?vel e sem caracter?sticas de plataformas, em modelos dependentes de plataformas. A Model Driven Architecture (MDA) apresenta uma t?cnica de modelagem voltada para arquiteturas, em que ? necess?rio aplicar mapeamentos e transforma??es em modelos de sistemas para plataformas. Esse trabalho apresenta a abordagem FOMDA (Features-Oriented Model-Driven Architecture), que permite a desenvolvedores especificar modelos e gerenciar transforma??es adotando a t?cnica MDA. A abordagem FOMDA combina Modelos de Features e MDA em um ambiente onde desenvolvedores s?o habilitados para representar caracter?sticas atrav?s de features, mapeando-as para transforma??es que geram a aplica??o final. Este trabalho tamb?m apresenta um estudo de caso, que utiliza a abordagem FOMDA para auxiliar no desenvolvimento de um sistema de tempo real embarcado
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Basso, Fábio Paulo. "Features-oriented model-driven architecture: uma abordagem para MDD." Pontifícia Universidade Católica do Rio Grande do Sul, 2006. http://hdl.handle.net/10923/1520.

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The model driven software development with MDA requires the transformation of system models, initially specified in high-level and platform independent, into platform dependent models. The Model Driven Architecture (MDA) presents an architectural guided modeling technique, using mappings and transformations that must be applied in the system models according system platforms. This work presents the FOMDA (Features-Oriented Model-Driven Architecture) approach, to help developers specifying models and managing transformations using the MDA technique. The FOMDA approach combines Features Model and MDA in an environment where developers can represent system characteristics with features and map them to transformation code that is responsible to generate the final application. This work also presents a case study using FOMDA to assist the development on an embedded real-time system.
O desenvolvimento de software dirigido por modelos, com a MDA, requer o refinamento de modelos de sistemas, inicialmente especificados em alto nível e sem características de plataformas, em modelos dependentes de plataformas. A Model Driven Architecture (MDA) apresenta uma técnica de modelagem voltada para arquiteturas, em que é necessário aplicar mapeamentos e transformações em modelos de sistemas para plataformas. Esse trabalho apresenta a abordagem FOMDA (Features-Oriented Model-Driven Architecture), que permite a desenvolvedores especificar modelos e gerenciar transformações adotando a técnica MDA. A abordagem FOMDA combina Modelos de Features e MDA em um ambiente onde desenvolvedores são habilitados para representar características através de features, mapeando-as para transformações que geram a aplicação final. Este trabalho também apresenta um estudo de caso, que utiliza a abordagem FOMDA para auxiliar no desenvolvimento de um sistema de tempo real embarcado.
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Shahrour, Ghada. "COGNITIVE AND EMOTIONAL EMPATHY IN ADOLESCENTS WITH ADHD: ARE COMORBIDITIES, GENDER, AND PARENTAL ACCEPTANCE-REJECTION IMPORTANT FACTORS?" Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1510587554078524.

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Belix, José Eduardo. "Um estudo sobre MDA: suporte fornecido pela UML e reuso de soluções pré-definidas." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-11052006-165548/.

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Este trabalho tem por objetivo propor a utilização de soluções pré-definidas e comprovadas na abordagem MDA, auxiliando o desenvolvedor na resolução de problemas recorrentes ao desenvolvimento de software. A utilização destas soluções pré-definidas leva a um aumento de produtividade no contexto MDA e na geração de software baseado em boas práticas. Para que este objetivo seja cumprido, é empreendida uma análise sobre o MDA e sobre como operacionalizar as transformações entre modelos. Também é empreendida uma análise sobre o suporte fornecido pela UML e sobre reutilização em desenvolvimento orientado a modelos. Por fim este trabalho apresenta partes de uma aplicação protótipo, construída para ser uma prova de conceito de código gerado através da combinação de UML e soluções pré-definidas.
The goal of this work is to propose the use of pre-defined solutions on MDA approach, supporting the developer in solving recurrent problems of software development. The use of these pre-defined solutions leads to an increase of productivity in MDA context, and in the generation of software based on best practices. To reach this goal, an analysis of MDA is undertaken, as well as an analysis of how to enable the transformations between models. It is also undertaken an analysis about the use of UML and the reuse in model driven development. Finally this work presents portions of a prototype application, constructed to be a proof-of-concept of generated code, combining UML and the pre-defined solutions.
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SARMENTO, Jones Cavalcanti. "Uma abordagem MDD para prover integridade topológica e de rede em projeto conceitual de banco de dados espaciais." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/17235.

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FACEPE
Model-Driven Development (MDD) é um paradigma que usa modelos como o principal artefato no processo de desenvolvimento de sistemas. Isto é, neste paradigma, modelos não são apenas artefatos de documentação, pois devem corresponder a códigos executáveis. Em projetos de Banco de Dados Espaciais (BDE), existem várias linguagens de modelagens (e.g., OMT-G, MADS, GeoProfile e UML-GeoFrame), as quais permitem representar características espaciais (e.g., Múltiplas Representações e Relacionamento Espacial) por meio de uma ferramenta do tipo Computer-Aided Software Engineering (CASE). Embora essas linguagens sejam bem exploradas e difundidas na literatura, constatou-se que estas têm deficiências para modelar e implementar integridade espacial a partir de entidades com múltiplas representações. Assim, de modo a avançar o estado da arte sobre projeto de BDE, este trabalho faz uma análise dos principais trabalhos relacionados, e, de modo a contribuir para superar as deficiências encontradas, propõe uma extensão espacial para a linguagem de modelagem Enhanced Entity Relationship (EER). Essa extensão é implementada na ferramenta EERCASE e avalidada por meio de uma análise comparativa com os principais trabalhos relacionados, evidenciando seus pontos fortes e fracos.
Model-Driven Development (MDD) is a paradigm that uses models as the primary artifact in the systems development process. That is, in this paradigm, models are not only documentation artifacts, since these should be the executable code. In Spatial Databases projects (SDB), there are several modeling languages (e.g., OMT-G, MADS, GeoProfile and UML-GeoFrame), which allow to represent spatial characteristics (e.g., Multiple Representations and Spatial Relationship) by means of a tool type Computer-Aided Software Engineering (CASE). Although these languages are better exploited and widespread in the literature, it was found that they have deficiencies in modeling and implement spatial integrity from entities with multiple representations. Thus, in order to advance the state of the art in SDB project, this paper analyzes the main works related and, in order to contribute to overcome the deficiencies, proposes a spatial extension for modeling language Enhanced Entity Relationship (EER). This extension is implemented in tool EERCASE and evaluated through a comparison with the main work related, highlighting their strengths and weaknesses.
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SOUZA, Ricardo André Cavalcante de. "WE4UIV Web engineering for user interaction view." Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/1489.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
No mundo globalizado e competitivo, a sobrevivência de uma organização está relacionada a atrair e, principalmente, manter clientes (consumidores) através da prestação de serviços de qualidade. Atualmente, a forma mais usual de comunicação direta entre as organizações e seus (possíveis) clientes é através de aplicações baseadas na Web. Entre as vantagens deste tipo de aplicação estão a disponibilidade em tempo integral (24/7/365) e a facilidade de acesso, tendo em vista que o requisito inicial é apenas um computador com acesso à Internet. No contexto da disciplina de Engenharia de Software, as aplicações Web possuem características específicas que as diferem de aplicações tradicionais, especialmente no que se refere à interação com os usuários, e que devem ser consideradas adequadamente no processo de desenvolvimento. Entretanto, os processos de software tradicionais são dirigidos à funcionalidade e a parte do sistema responsável pela interação com os usuários é tratada com menor ênfase usualmente apenas na etapa de Implementação, ocasionando deficiências no produto e insatisfação dos usuários quanto ao uso do sistema. Neste cenário, este trabalho apresenta o método WE4UIV (Web Engineering User Interaction View), dirigido a modelos e baseado em componentes, cujo propósito é tratar os aspectos relacionados à visão de interação com os usuários de aplicações Web, nos níveis de análise e projeto, de modo a fornecer subsídios para orientar a etapa de Implementação. Além disso, visando acelerar e tornar menos manual a etapa de Implementação, este trabalho também apresenta uma ferramenta integrada a um ambiente de desenvolvimento para geração de código fonte a partir de artefatos de projeto descritos em UML. A abordagem apresentada neste trabalho pressupõe melhorias quantitativas no processo de desenvolvimento da visão de interação com os usuários, especificamente redução do tempo da etapa de Implementação e do índice de trabalho adicional causado por solicitações de mudança. A abordagem proposta é validada através de um processo de experimentação no contexto de um projeto real de desenvolvimento de software
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Books on the topic "MDD"

1

Jean-Philippe, Babau, Champeau Joël, and Gérard Sébastien, eds. From MDD concepts to experiments and illustrations. London: ISTE, 2006.

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MdD: Modi di dire : lessico italiano delle collocazioni. Roma: Aracne, 2010.

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Russo, Domenico. MdD: Modi di dire : lessico italiano delle collocazioni. Roma: Aracne, 2010.

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Türkiye solunda Üç Tarz-ı Siyaset: YÖN, MDD ve TİP. Cağaloğlu, İstanbul: Yordam Kitap, 2010.

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Klein, Andreas. Luftwaffe Phantoms: The MDD F-4F Phantom II in German Air Force service : 1982-2003. Erlangen: AirDOC, 2004.

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Klein, Andreas. Luftwaffe Phantoms: The MDD F-4F Phantom II in German Air Force service : 1973-1982. Erlangen: AirDOC, 2004.

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McDonald, Megan. The mad, mad, mad, mad treasure hunt. New York: Scholastic, 2010.

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Rose, Carla. It's a mad, mad, mad, mad Mac. New York: Windcrest/McGraw-Hill, 1994.

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Wragg, E. C. Mad mad land. Walton-on-Thames: Nelson, 1995.

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Mad, mad Monday. New York: E.P. Dutton, 1988.

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Book chapters on the topic "MDD"

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Oette, Mark, Marvin J. Stone, Hendrik P. N. Scholl, Peter Charbel Issa, Monika Fleckenstein, Steffen Schmitz-Valckenberg, Frank G. Holz, et al. "MDD Deficiency." In Encyclopedia of Molecular Mechanisms of Disease, 1270. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_6364.

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Bien, Christian G., Christian E. Elger, Ali R. Afzal, Sirajedin Natah, Ritva Häyrinen-Immonen, Yrjö Konttinen, George S. Zubenko, et al. "RE-MDD." In Encyclopedia of Molecular Mechanisms of Disease, 1820. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_7646.

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Bergman, David, Andre A. Cire, Willem-Jan van Hoeve, and John Hooker. "MDD-Based Constraint Programming." In Artificial Intelligence: Foundations, Theory, and Algorithms, 157–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42849-9_9.

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Barbier, Franck, and Jean-Luc Recoussine. "Model-Driven Development (MDD)." In Cobol Software Modernization, 109–33. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119073147.ch6.

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Bergman, David, Andre A. Cire, Willem-Jan van Hoeve, and John Hooker. "MDD Propagation for sequence Constraints." In Artificial Intelligence: Foundations, Theory, and Algorithms, 183–204. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42849-9_10.

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Agüero, Jorge, Miguel Rebollo, Carlos Carrascosa, and Vicente Julián. "MDD for Virtual Organization Design." In Advances in Intelligent and Soft Computing, 9–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12433-4_2.

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Bergman, David, Willem-Jan van Hoeve, and John N. Hooker. "Manipulating MDD Relaxations for Combinatorial Optimization." In Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 20–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21311-3_5.

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Navarro, Elena, Abel Gómez, Patricio Letelier, and Isidro Ramos. "MORPHEUS: A Supporting Tool for MDD." In Information Systems Development, 255–67. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7355-9_22.

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Meijler, T. D. "Incremental MDD Through Generative Causal Connectedness." In UML Modeling Languages and Applications, 254–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31797-5_28.

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Gogolla, Martin, Frank Hilken, and Andreas Kästner. "Some Narrow and Broad Challenges in MDD." In Software Technologies: Applications and Foundations, 172–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74730-9_15.

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Conference papers on the topic "MDD"

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Verhaeghe, Hélène, Christophe Lecoutre, and Pierre Schaus. "Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/192.

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Multi-Valued Decision Diagrams (MDDs) are instrumental in modeling combinatorial problems with Constraint Programming.In this paper, we propose a related data structure called sMDD (semi-MDD) where the central layer of the diagrams is non-deterministic.We show that it is easy and efficient to transform any table (set of tuples) into an sMDD.We also introduce a new filtering algorithm, called Compact-MDD, which is based on bitwise operations, and can be applied to both MDDs and sMDDs.Our experimental results show the practical interest of our approach, both in terms of compression and filtering speed.
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Langlois, Benoit, Daniel Exertier, and Stephane Bonnet. "Performance Improvement of MDD Tools." In 2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06). IEEE, 2006. http://dx.doi.org/10.1109/edocw.2006.54.

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Kulkarni, Vinay, and Sreedhar Reddy. "An abstraction for reusable MDD components." In the 7th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1449913.1449940.

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Torchiano, Marco, Federico Tomassetti, Filippo Ricca, Alessandro Tiso, and Gianna Reggio. "Benefits from modelling and MDD adoption." In the Second Edition of the International Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2424563.2424565.

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Nakahara, Hiroki, Tsutomu Sasao, and Munehiro Matsuura. "On a prefetching heterogeneous MDD machine." In 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2011. http://dx.doi.org/10.1109/mwscas.2011.6026352.

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Berndt, Rudiger, Peter Bazan, and Kai-Steffen Hielscher. "MDD-based Verification of Car Manufacturing Data." In 2011 Third International Conference on Computational Intelligence, Modelling and Simulation (CIMSiM). IEEE, 2011. http://dx.doi.org/10.1109/cimsim.2011.40.

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Abid, Saad Bin, Vishal Mahajan, and Levi Lucio. "Machine Learning for Learnability of MDD tools." In The 31st International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. http://dx.doi.org/10.18293/seke2019-050.

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Shukla, Urvashi Prakash, and Shreeya Garg. "LightFFNet: MDD Prediction on EEG Quantitative Biomarkers." In 2022 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2022. http://dx.doi.org/10.1109/iceet56468.2022.10007111.

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Yang, Jichen. "MDD And Structural Change in Hippocampus and Mpfc." In 2021 International Conference on Biomedical Engineering, Healthcare and Disease Prevention. Clausius Scientific Press Inc., 2021. http://dx.doi.org/10.23977/behdp.2021012.

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MDD (major depressive disorder) is a serious, often chronic, and disabling mental disorder, which affects various brain areas. MDD is characterized by at least two weeks of pervasive low mood, low self-esteem, and loss of interest or pleasure in normally enjoyable activities. Stress model including chronic stress and early life stress could be the trigger for MDD and neurotransmitter disorder theory is the mainstream explanation of the disease. MDD would cause disfunction of the brain from different aspects. The MDD mainly affect the brain structure by neurotoxic progress, which includes multiple pathways and neurotransmitter causing the brain structural changes. Hippocampus and mPFC are the most common brain areas could be affected by the MDD, the structural changes could be found by fMRI. The review would focus on introducing mainstream models and how they affect the brain structure. At the end, this review would also involve the regular antidepressants and aspects of future study.
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Hadzic, Tarik, and Barry O'Sullivan. "Uncovering functional dependencies in MDD-compiled product catalogues." In the third ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1639714.1639792.

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Reports on the topic "MDD"

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Vedder, Raymond James, and Robert Thomas Jubin. MDD Status Letter Report (AFCI CETE Milestone). Office of Scientific and Technical Information (OSTI), September 2009. http://dx.doi.org/10.2172/1042750.

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Luther, Erik Paul. Report on Characterization and Processing of MDD Powder. Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1049345.

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Wendy, Disch. ESRI Nowcast October 2022. ESRI, October 2022. http://dx.doi.org/10.26504/ir1.

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Using the ESRI Nowcasting model currently employed to support the forecasting exercise in the Quarterly Economic Commentary, we will now update our forecast of modified domestic demand (MDD) on a monthly basis. Our nowcast estimates that MDD is expected to grow by 4.1 per cent in Q3 2022 on an annual basis, indicating some moderation from its growth of 10.2 per cent per annum in Q2 2022. On a monthly basis, MDD is estimated to be 4.0 per cent above its level from August 2021. Strong tax receipts, continued strength in the labour market and growth in industrial production are all contributing to growth. However, continued uncertainty in the global economy and elevated inflation rates have contributed to a decline in survey indicators, such as business and consumer sentiment, as well as slowdowns in retail sales. While growth of 4.1 per cent is strong on a historical basis, it is clear that MDD is moderating considerably from its peak of 14 per cent in February 2022.
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4

Deng, Yueying, and Albert A. Kruger. Dynamic (G2) Model Design Document, 24590-WTP-MDD-PR-01-002, Rev. 12. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1110827.

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5

Disch, Wendy. ESRI Nowcast (Using data available through 14 December 2022). ESRI, December 2022. http://dx.doi.org/10.26504/ir3.

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Using data available through 14 December 2022, we provide an update to our monthly estimate of modified domestic demand (MDD) using the ESRI Nowcasting model currently employed to support the forecasting exercise in the Quarterly Economic Commentary.
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6

LI, Peng, and Junjun Liu. Effect of statin therapy on moderate-to-severe depression: an updated systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0016.

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Review question / Objective: We aim to assess the antidepressant effects of statin therapy among patients complicated with moderate to severe depression. Condition being studied: Depression is one of the major causes of disability worldwide, and major depressive disorders (MDD) contribute to a significant heavy disease burden, which is expected to be second by 2050, only to heart disease. Despite great improvement in therapy, the treatment efficacy remains low. Therefore, alternative therapies have been intensely investigated. A substantial body of researches have suggested that inflammation is one of the operative pathways between MDD and increased risk of somatic comorbidities, and some specific depressive symptoms. Depression occurs in most patients with cardiac and cerebrovascular disease due to the long-term effects, and depression increases the risk of cardiovascular disease in the population as a whole and in patients with coronary artery disease or stroke. Several observational studies have demonstrated reduced rates of depression among patients taking statins, which may be related to its anti-inflammatory effect. However, whether statin improves the depressive symptoms and its associated mechanism is still mixed. Furthermore, there is little evidence about statin treatment effect in those with moderate to severe depression. In addition, whether the effect of statin treatment on depressive symptom changes with time or is affected by baseline depression severity or percentage change of lipid levels has not been explored in previous studies.
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7

Irwin, Courtney L., Patrícia S. Coelho, Bruno Kluwe-Schiavon, Anabela Silva-Fernandes, Óscar F. Gonçalves, Jorge Leite, and Sandra Carvalho. Treatment-related changes of molecular biomarkers in major depressive disorder: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0105.

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Review question / Objective: The aim of this review is two-fold: first, we sought to identify candidate biomarkers that could provide information on whether an individual with MDD would respond positively to common non-pharmacological treatments, and secondly, to conduct a meta-analysis to determine whether one form of common non-pharmacological treatment (namely CBT, tDCS and TMS) would produce better results over another in regards to its influence on biomarker levels. Information sources: The information sources used were: three online databases (PubMed, Scopus, and PsycINFO) to identify English-language human randomised controlled trials unrestricted by year of publication.
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8

Zhan, Yuji, Mengxin Rui, Wenfeng Zeng, and Yunxia Wang. Efficacy and safety of escitalopram and agomelatine in the treatment of major depressive disorder-A meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0074.

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Review question / Objective: The aim of this meta-analysis of randomized controlled trials is to evaluate the efficacy and safety of escitalopram and agomelatine in the major depressive disorder. Condition being studied: Major depressive disorder (MDD), is one of the most common, costly, and disabling mental health conditions worldwide, with an estimated 246 million sufferers globally in 2020.At present, there is a great demand for effective antidepressant treatment in medicine. Information sources: We will search, with no time restrictions, the following databases for relevant English language literature: PubMed, the Cochrane Central Register of Controlled Trials and Web of Science. The search string will be built as follows: (escitalopram) AND (agomelatine) AND (major depressed disorder).
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John H. Cohen, Greg Deskins, William Motion, and Jay Martin. DEVELOPMENT OF A MUD-PULSE HIGH-TEMPERATURE MEASUREMENT-WHILE-DRILLING (MWD) SYSTEM. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/828406.

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10

Petersen, Kirsten Elisa. Danske daginstitutioners indsatser og disses betydninger for pædagogisk personale, børn og familier under COVID-19 pandemien 2020/2021. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.420.

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Denne rapport præsenterer en række centrale resultater af et forskningsprojekt med fokus på daginstitutioners indsatser og betydning for pædagogisk personale, børn og familier under COVID-19 pandemien i Danmark. Forskningsprojektet har indsamlet data i perioden april 2020 til august 2020, og særligt i perioden fra midt april til juni, hvor alle landets daginstitutioner genåbnede efter cirka en måneds nedlukning af landets offentlige institutioner som følge af regeringens retningslinjer. Der er ligeledes indsamlet data i perioden august til oktober 2020, og igen i perioden januar til februar 2021. Der er således tale om tre empiriske nedslag hen over cirka et år af pandemiens forløb i relation til daginstitutionsledere og pædagogisk personale i landets daginstitutioner. De data, der ligger til grund for denne rapport, omfatter en spørgeskemaundersøgelse rettet mod daginstitutionsledere og en spørgeskemaundersøgelse rettet mod pædagogisk personale i daginstitutioner, geografisk fordelt over hele landet. Fælles for spørgeskemaundersøgelserne er et fokus på at udforske, hvordan daginstitutioner har arbejdet under COVID-19 pandemien, dels under selve nedlukningen i marts-april, hvor flere af landets daginstitutioner har fungeret som nødpasning, særligt for forældre med kritiske samfundsfunktioner, og dels under genåbningsfaserne, der officielt blev påbegyndt i midten af april og især har forløbet hen over forår og tidlig sommer 2020. Derudover er der ad to omgange foretaget en række forskningsinterview med daginstitutionsledere. I første omgang blev der foretaget 10 forskningsinterview i perioden august til november 2020, og i anden omgang er der foretaget 8 forskningsinterview med daginstitutionsledere fordelt på landets daginstitutioner omfattende perioden januar til februar 2021. Formålet med dette forskningsprojekt har været at kortlægge og udforske, hvordan daginstitutionsledere og pædagogisk personale i en række danske daginstitutioner for 0-6-årige børn løfter den store samfundsmæssige udfordring at håndtere COVID-19 pandemien på landets daginstitutioner.
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