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Книги з теми "Mdd3"

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Автор: Grafiati

Опубліковано: 26 липня 2024

Оновлено: 28 липня 2024

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1

Commissioner, India Office of the Registrar General &. Census. Census of India 2011: MDDS Code 2011 India. New Delhi: Office of the Registrar General, Govt. of India, 2011.

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2

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

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3

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

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4

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

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5

Budiman, Hendra. Undang-undang MD3, grand design menuju kebangkitan neo Orba. Gejayan, Yogyakarta: Penerbit Pustaka Yustisia, 2015.

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6

service), ScienceDirect (Online, ed. MDDL and the quest for a market data standard: Explanation, rationale and implementation. Amsterdam: Butterworth-Heinemann, 2008.

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7

Green, Andrew J. A synchronous data analyzer for the Minimum Delay Data Format (MDDF) and Launch Trajectory Acquisition System (LTAS). Wallops Island, Va: Goddard Space Flight Center, 1987.

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8

Indonesia. Undang-Undang RI no. 17 tahun 2014 Tentang MPR, DPR, DPD, dan DPRD (MD3). Jakarta: CV. Cipta Media Indonesia, 2014.

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9

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

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10

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

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11

Green, A. J. A synchronous data analyzer for the minimum delay data format (MDDF) and launch trajectory acquisition system (LTAS): Andrew J. Green. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Office, 1987.

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12

Water Resources Support Center (U.S.) and United States. Army. Corps of Engineers., eds. The Ports of Duluth, MN, and Superior, WI, Taconite Harbor, Silver Bay, and Two Harbors, Mdd, and Ashland, WI. Washington: U.S. G.P.O., 1987.

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13

B, Chaudhri Akmal, ed. XML-based data management and multimedia engineering--EDBT 2002: EDBT 2002 workshops XMLDM, MDDE, and YRWS, Prague, Czech Republic, March 24-28, 2002 : proceedings. New York: Springer, 2002.

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14

Agency, Medical Devices, ed. Addendum to report MDD/94/53: Report on the use of the Siemens Mammomat 300 in mobile breast screening trailers at twoscreeening centres. London: Medical Devices Agency, 1996.

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15

1969-, Bruel Jean-Michel, LINK (Online service), and MoDELS 2005 (2005 : Montego Bay, Jamaica), eds. Satellite events at the MoDELS 2005 conference: MoDELS 2005 international workshops OCLWS, MoDeVA, MARTES, AOM, MTiP, WiSME, MODAUI, NfC, MDD, WUsCAM, Montego Bay, Jamaica, October 2-7, 2005 : revised selected papers. Berlin: Springer, 2006.

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16

Indonesia. Undang-Undang Majelis Permusyawaratan Rakyat, Dewan Perwakilan Rakyat, Dewan Perwakilan Daerah, dan Dewan Perwakilan Rakyat Daerah (UU MD3): UU RI no. 17 tahun 2014 : dilengkapi dengan Peraturan Pemerintah Republik Indonesia nomor 29 tahun 2014 tentang perubahan atas Peraturan Pemerintah Republik Indonesia nomor 18 tahun 2013 tentang tata cara pengunduran diri kepala daerah, wakil kepala daerah, dan pegawai negeri yang akan menjadi bakal calon anggota DPR, DPD, DPRD provinsi, dan DPRD kabupaten/kota, serta pelaksanaan cuti pejabat negara dalam kampanye pemilu. Jakarta: Sinar Grafika, 2014.

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17

Food Microbiology. John Wiley & Sons Inc, 2008.

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18

Richard Aldrich: MDD. Gladstone Gallery, 2018.

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19

SAS/MDDB Server Administrator's Guide, Version 8. SAS Publishing, 2000.

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20

Tricker, Ray. MDD Compliance Using Quality Management Techniques. Taylor & Francis Group, 2012.

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21

Tricker, Ray. MDD Compliance Using Quality Management Techniques. Routledge, 2012. http://dx.doi.org/10.4324/9780080523156.

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22

Tricker, Ray. MDD Compliance Using Quality Management Techniques. Butterworth-Heinemann, 2000.

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23

MDD Compliance Using Quality Management Techniques. Routledge, 2012.

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24

MDDL and the Quest for a Market Data Standard. Elsevier, 2008. http://dx.doi.org/10.1016/b978-0-7506-6839-2.x5001-3.

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25

From MDD Concepts to Experiments and Illustrations. ISTE Publishing Company, 2007.

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26

Carvalho, André F., Gilberto S. Alves, Cristiano A. Köhler, and Roger S. McIntyre. Cognitive Enhancement in Major Depressive Disorder. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190214401.003.0010.

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Анотація:

Major depressive disorder (MDD) is a chronic and disabling illness often associated with elevated rates of non-recovery and substantial psychosocial burden. Cognitive impairment is a common residual manifestations of MDD. Overactivation of the hypothalamic–pituitary–adrenal axis, along with immune–inflammatory imbalances, a decrease in neurotrophin signaling, and an increase in oxidative and nitrosative stress, leads to neuroprogression and cognitive deterioration in MDD. “Cognitive remission” has been proposed as a novel treatment target for MDD. Cognitive remediation therapy has provided encouraging results for the management of cognitive deficits in MDD. The effects of standard antidepressant drugs on MDD-related cognitive dysfunction are often suboptimal, which calls for the development of novel agents with the potential to target cognitive impairments in MDD. The incorporation of biobehavioral strategies (e.g., exercise) and multimodal treatment approaches (e.g., cognitive training, antidepressant therapy, and neuromodulation) is more likely to generate therapeutic benefit.

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27

Introduction to Sas/Eis and Sas/Mddb Server Software Course Notes. Sas Inst, 2000.

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28

Chen, Michael C., and Ian H. Gotlib. Molecular Foundations of the Symptoms of Major Depressive Disorder. Edited by Turhan Canli. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.002.

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Major Depressive Disorder (MDD) is a prevalent and costly disorder with a broad range of cognitive, affective, and behavioral symptoms. Despite the absence of a clear final common molecular pathway in depression, many molecular systems have been implicated in MDD. In particular, disruptions in molecular systems like serotonin, dopamine, glutamate, and other neurotransmitters, as well as in stress hormones, cytokines, neurotrophins, and neuropeptides, may contribute to MDD. To link the symptoms of MDD with molecular dysfunction, this article examines these molecules in the context of three symptom clusters of MDD: cognitive/affective symptoms, volitional/behavioral symptoms, and homeostatic/vegetative symptoms. It examines how these molecules and their receptor, transport, and regulatory systems contribute to MDD and to the development of specific symptom clusters. It presents two possible frameworks of molecular dysfunction in MDD that encompass the interactions between vulnerability phenotypes and biochemical perturbations that may lead to the heterogeneous symptoms of this disorder.

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29

Infection Prevention and Control at a Glance. Wiley & Sons, Incorporated, John, 2016.

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30

Ménard, Caroline, Madeline L. Pfau, Georgia E. Hodes, and Scott J. Russo. Immune Mechanisms of Depression. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0028.

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Анотація:

Mood disorders such as major depressive disorder (MDD) are diagnosed largely based upon behavioral symptoms rather than biological factors. Some have argued that a lack of rigorous biomarker-based diagnosis is the reason why 30%–50% of MDD patients are unresponsive to traditional antidepressant medications. Over the past few decades, MDD has been shown to be highly prevalent in patients suffering from chronic inflammatory conditions, such as lupus erythematosus, multiple sclerosis, etc. Moreover, subgroups of MDD patients have shown consistently higher levels of circulating pro-inflammatory cytokines. Together, these clinical findings suggest that alterations within the immune system might contribute to the behavioral symptoms of MDD. In this chapter, we review the growing literature in both humans with MDD and in rodent stress models of depression that support a role for the immune system in depression.

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31

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

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32

Carney, Colleen E., and Taryn G. Moss. Sleep Disorders and Depression. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.012.

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Анотація:

Major depressive disorder (MDD) commonly occurs with several sleep disorders, including hypersomnia, breathing or limb-related sleep disturbances, and most notably chronic insomnia. A bidirectional relationship exists between sleep and mood problems, and both issues often warrant timely clinical management. However, there are several assessment- and treatment-related complexities that complicate the clinical management of such patients. For example, there are several overlapping symptoms for MDD and both insomnia and hypersomnia, and the two sleep conditions are both listed as possible symptoms in the diagnostic criteria for MDD. This has led to a well-documented problem of underrecognizing and undertreating these significant disorders in the context of MDD. Moreover, certain effective depression treatments can actually worsen the coexisting sleep disorder. Understanding and treating both disorders (i.e., MDD and the co-occurring sleep disorder) is imperative for effective clinical care. Almost all (i.e., up to 90%) of those with depression report sleep problems. This chapter provides an overview of the etiologic, assessment, and treatment issues inherent in this very large, highly prevalent group.

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33

Sexton, Martin Christopher. MDDL and the Quest for a Market Data Standard: Explanation, Rationale, and Implementation. Elsevier Science & Technology Books, 2011.

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34

Canli, Turhan. Is Depression an Infectious Disease? Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.28.

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In molecular psychology, the tools of molecular biology and genomics are applied to study and better understand behavior. In this chapter, the author applies this approach to present a novel perspective on major depressive disorder (MDD). The treatment approach for MDD has not changed much in half a century, and—in general—today’s treatments are not more effective than earlier ones. The author suggests a new approach, one that conceptualizes MDD as an infectious disease. The author presents a set of four clues that are consistent with such a claim and lays out a molecular approach to how a search for a disease-causing agent could be conducted.

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35

Levinson, Douglas F., and Walter E. Nichols. Genetics of Depression. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0024.

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Major depressive disorder (MDD) is a common and heterogeneous complex trait. Twin heritability is 35%–40%, perhaps higher in severe/recurrent cases. Adverse life events (particularly during childhood) increase risk. Current evidence suggests some overlap in genetic factors among MDD, bipolar disorder, and schizophrenia. Large genome-wide association studies (GWAS) are now proving successful. Polygenic effects of common SNPs are substantial. Findings implicate genes with effects on synaptic development and function, including two obesity-associated genes (NEGR1 and OLFM4), but not previous “candidate genes.” It can now be expected that larger GWAS samples will produce additional associations that shed new light on MDD genetics.

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36

Goldstein, Jill M., L. Holsen, S. Cherkerzian, M. Misra, and R. J. Handra. Neuroendocrine Mechanisms of Depression. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0029.

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Анотація:

Studies have demonstrated that major depressive disorder (MDD) is intimately tied to neuroendocrine dysregulation. This arises, in part, from the fact that brain regions that regulate mood also regulate primary neuroendocrine axes and metabolic functions. We and others demonstrated that the origin of MDD-neuroendocrine deficits begins in fetal development, is sex-dependent, emerges just post-puberty, and can be catalyzed by pregnancy (postpartum) and menopause. Here, we critically review clinical and preclinical studies to argue that higher MDD risk in women may arise, in part, from hormone-dependent pathogenic processes initiated during fetal development that drive sex-dependent developmental alterations of HPA circuitry emerging post-puberty with lifelong consequences.

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37

Public Health and Epidemiology at a Glance. Wiley & Sons, Incorporated, John, 2016.

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38

SAS Institute. Introduction to SAS/EIS (R) Software and the SAS/MDDB (TM) Server Course Notes. SAS Publishing, 1997.

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39

Baune, Bernhard T. Cognitive Dimensions of Major Depressive Disorder. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198835554.001.0001.

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Анотація:

Cognitive Dimensions of Major Depressive Disorder (MDD) examines the key clinical and pathophysiological characteristics and treatment options of MDD. The volume emphasizes that while the traditional model of depression implicates mood as the primary symptom cluster, a more recently published conceptual understanding of depression has been extended to consider cognitive function as more than just a symptom. It furthers our understanding of the central role of the cognitive dimension for the pathophysiology, diagnosis, and treatment of MDD. It reviews the key cognitive dimensions of depression comprising impaired cognitive and emotional processes of cognitive function, emotion processing, and social cognitive processing. It focuses on the cognitive and emotional dimensions of depression and offers extended and novel diagnostic and treatment approaches ranging from pharmacological to psychological interventions targeting those dimensions of depression.

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40

Carnet de Mots de Passe: A5 - 105 Pages - 312 Mots de Passe - Couverture Souple - MDP3 -. Independently Published, 2019.

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41

Aiyappa, Rekha. Updating PIC32MX Support in the V2013-06-15 MLA MDD File System TB. Microchip Technology Incorporated, 2014.

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42

Naidoo, Shalinee. Medical Device Regulations: Transitioning from MDD 93/42/EEC to MDR 2017/745. Arcler Education Inc, 2020.

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43

Yang, Ada. Updating PIC32MX Support in the V2013-06-15 MLA MDD File System TB. Microchip Technology Incorporated, 2015.

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44

Takenaka, Norio. TB3112 - Updating PIC32MX Support in the V2013-06-15 MLA MDD File System. Microchip Technology Incorporated, 2015.

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45

Naidoo, Shalinee. Medical Device Regulations: Transitioning from MDD 93/42/EEC to MDR 2017/745. Arcler Education Inc, 2020.

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46

Langer, Julia K., and Thomas L. Rodebaugh. Comorbidity of Social Anxiety Disorder and Depression. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.030.

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Анотація:

Social anxiety disorder (SAD) and major depressive disorder (MDD) are prevalent disorders that exhibit a high rate of co-occurrence. Furthermore, these disorders have been shown to be associated with each other, suggesting that the presence of one disorder increases risk for the other disorder. In this chapter, we discuss relevant theories that attempt to explain why SAD and MDD are related. We propose that the available evidence provides support for conceptualizing the comorbidity of SAD and MDD as resulting from a shared underlying vulnerability. There is evidence that this underlying vulnerability is genetic in nature and related to trait-like constructs such as positive and negative affect. We also discuss the possibility that the underlying vulnerability may confer tendencies toward certain patterns of thinking. Finally, we discuss theories that propose additional causal pathways between the disorders such as direct pathways from one disorder to the other. We advocate for a psychoevolutionary conceptualization that links the findings on the underlying cognitions to the shared relation of lower positive affect and the findings on peer victimization. We suggest that, in addition to a shared underlying vulnerability, the symptoms of social anxiety and depression may function as a part of a behavior trap in which attempts to cope with perceived social exclusion lead to even higher levels of social anxiety and depression. Finally, we make recommendations for the best methods for assessing SAD and MDD as well as suggestions for treating individuals with both disorders.

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47

Mineka, Susan, Deepika Anand, and Jennifer A. Sumner. Important Issues in Understanding Comorbidity Between Generalized Anxiety Disorder and Major Depressive Disorder. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.031.

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Анотація:

The comorbidity of anxiety and mood disorders has been of great interest to psychopathology researchers for the past 25 years. One topic––the comorbidity of generalized anxiety disorder (GAD) and major depressive disorder (MDD)––has received considerable attention, in part because it has raised fundamental nosological issues regarding whether GAD should continue to be categorized as an anxiety disorder or whether it should be recategorized as a mood disorder. We review the logic for reclassifying GAD with the mood disorders as well as what we believe to be even more compelling reasons for why it should be retained as an anxiety disorder. In doing so, we review three different kinds of comorbidity—cross-sectional, cumulative (lifetime), and sequential. We also discuss overlaps and distinctions in what is known about the etiology of GAD and MDD and how their somewhat different cognitive and affective profiles bear on these issues of classification. Finally, we briefly discuss what some of the treatment implications may be for individuals with comorbid GAD and MDD.

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48

Pons, Claudia, Roxana Silvia Giandini, and Gabriela Pérez. Desarrollo de software dirigido por modelos. Editorial de la Universidad Nacional de La Plata (EDULP) / McGraw-Hill Educación, 2010. http://dx.doi.org/10.35537/10915/26667.

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El Desarrollo de Software Dirigido por Modelos (MDD en su acepción en inglés “Model-Driven Development”) es una disciplina que está generando muchas expectativas como alternativa sobresaliente a los métodos convencionales de producción de software, más orientado al Espacio de la Solución que al Espacio del Problema. Después de muchos años intentándolo, parece que por fin la comunidad de la Ingeniería del Software acepta que un proceso robusto de producción de software debe estar soportado por Modelos Conceptuales y dirigido por las Transformaciones correspondientes entre Modelos definidas de forma precisa. Una gran cantidad de trabajos teóricos y prácticos acompañan a este movimiento. Existen también herramientas que lo hacen ya realidad a nivel comercial. Pero a menudo se olvida un componente fundamental para que su éxito sea una realidad tangible: la necesidad de disponer de material didáctico ágil, actualizado, preciso y riguroso, que permita entender los fundamentos del MDD, las abstracciones en que se basa, los estándares que lo soportan, los problemas que hay que abordar para ponerlo en práctica exitosamente, y las ventajas concretas derivadas de su adopción. Ese es justamente el gran valor proporcionado por este libro. Sus autoras proyectan toda su amplia experiencia didáctica e investigadora en ambientes MDD sobre un documento que introduce al lector de una manera clara, sencilla, eficaz y eficiente en el mundo del MDD y de todo lo que representa. Sus contenidos están actualizados, e incluyen todos los temas que son hoy en día esenciales para entender las peculiaridades del Desarrollo Dirigido por Modelos.

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49

Cukrowicz, Kelly C., and Erin K. Poindexter. Suicide. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.033.

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Анотація:

Suicide is a significant concern for clinicians working with clients experiencing major depressive disorder (MDD). Previous research has indicated that MDD is the diagnosis more frequently associated with suicide, with approximately two-thirds of those who die by suicide suffering from depression at the time of death by suicide. This chapter reviews data regarding the prevalence of suicidal behavior among those with depressive disorders. It then reviews risk factors for suicide ideation, self-injury, and death by suicide. Finally, the chapter provides an empirical overview of treatment studies aimed at decreasing risk for suicide, as well as an overview of several recent treatment approaches showing promise in the reduction of suicidal behavior.

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50

Baune, Bernhard T., and Catherine Harmer, eds. Cognitive Dimensions of Major Depressive Disorder. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198810940.001.0001.

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Анотація:

The lifetime prevalence of 15% for major depressive disorder (MDD) within the general population is among the highest among all mental disorders. MDD is also one of the leading causes of disability and has been estimated to affect 300 million people worldwide. Clinical, functional, and biological correlates of MDD are frequently investigated almost exclusively based on research that defines depression as a categorical disorder assessed by established diagnostic instruments. Given the phenotypic and biological heterogeneity of depression, a refocus of the clinical phenotype of depression is required and widely recommended. Cognitive dimensions of depression have long been implicated in the nature of depression as a disorder that is characterized by typically impaired cognitive and emotional processes. The systems of cognitive function, emotion processing, and social cognitive processing are regarded as comprehensively describing large parts of the clinical symptoms as well as the pathophysiology of the brain-based disorder of depression. The focus on the above cognitive and emotional dimensions of depression offers promising extended and novel diagnostic and treatment approaches ranging from pharmacological to psychological interventions targeting those dimensions of depression. This book aims to provide an improved understanding of the characteristics of the dimensional approach of depression, focusing on the cognitive, emotional, and social cognitive processes.

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