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Published: 25 May 2024

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1

Alioto, Massimo, and Gaetano Palumbo. Model and Design of Bipolar and MOS Current-Mode Logic. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/1-4020-2888-1.

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2

1958-, Young L. Trevor, and Joffe Russell T. 1954-, eds. Bipolar disorder: Biological models and their clinical application. New York: M. Dekker, 1997.

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3

Çilingiroğlu, Uğur. Systematic analysis of bipolar and MOS transistors. Boston: Artech House, 1993.

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4

Schröter, Michael. Compact hierarchical bipolar transistor modeling with hicum. Singapore: World Scientific, 2010.

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5

Kuttner, Kenneth N. Beyond bipolar: A three-dimensional assessment of monetary frameworks. Wien: Oesterreichische Nationalbank, 2001.

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6

Kuttner, Kenneth N. Beyond bipolar: A three-dimensional assessment of monetary frameworks. Wien: Oesterreichische Nationalbank, 2001.

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7

Physical InP-based HBT models for ultimate digital circuit optimization. Konstanz: Hartung-Gorre, 2006.

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8

Inc, AeroVironment, and United States. National Aeronautics and Space Administration., eds. Development of a woven-grid quasi-bipolar battery: Phase I final report. [Washington, DC: National Aeronautics and Space Administration, 1998.

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9

D, Cressler John, ed. Measurement and modeling of silicon heterostructure devices. Boca Raton, FL: CRC Press, 2008.

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10

P, Soubrié, ed. Anxiety, depression, and mania. Basel: Karger, 1991.

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11

Strakowski, Stephen, ed. The Bipolar Brain. 2nd ed. Oxford University Press, 2022. http://dx.doi.org/10.1093/med/9780197574522.001.0001.

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Bipolar disorder is the 6th leading cause of disability worldwide and causes substantial morbidity and mortality among its sufferers. The estimated costs of bipolar disorder are enormous, approaching $50 billion annually in the United States alone. The societal and personal suffering caused by this condition is immeasurable. Nonetheless, despite its public health significance, bipolar disorder remains difficult to diagnosis and complicated to manage. A major factor contributing to these difficulties is that there is no established neurophysiological model for bipolar disorder. Such a model might provide objective measures for diagnosis, as well as physiological parameters to monitor and predict treatment response. Since the first edition of this text, neuroimaging and genetic techniques continue to advance new leads toward clarifying the neurophysiological basis of bipolar illness. In the absence of meaningful animal models of this uniquely human condition, neuroimaging has truly revolutionized the study of bipolar disorder. Moreover, because bipolar disorder is clearly familial, genetic studies are critical to define the complex molecular basis of the condition. Consequently, we are at a point in which integration of neuroimaging and genetic findings is possible and may position us to identify these very neurophysiological models needed to support the next generation of research. The goal of this 2nd edition is to provide an updated review of neuroimaging and genetic research in bipolar disorder to provide a model of illness that might inform future studies. We hope that the reader finds it useful.
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12

Jo, Myungsuk. Multi-regional charge-based small-signal bipolar junction transistor model. 1989.

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13

Parker, Gordon, and Amelia Paterson. Should the bipolar disorders be modelled dimensionally or categorically? Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198748625.003.0002.

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Historically, there have been categorical models of bipolar disorder and dimensional models of bipolar disorder. This chapter seeks to outline the history of these models as well as some recent supporting research. The models are evaluated in two ways; how well they reflect the underlying nature of bipolar disorder, and how useful they are to the patient and to the clinician in undertaking treatment decisions. The dimensional model posits that depression and bipolar lie on a continuum with pure unipolar depression at one end, bipolar disorder at the other, and some experience of highs without diagnosable (hypo)mania in-between. The categorical model posits that depression and bipolar are entirely separate conditions and that bipolar I and II are separate conditions. It is the position of the authors that the categorical model is a better reflection of the underlying nature of bipolar disorder and has proved more useful in clinical practice.
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14

Palumbo, Gaetano, and Massimo Alioto. Model and Design of Bipolar and MOS Current-Mode Logic: CML, ECL and SCL Digital Circuits. Springer, 2005.

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15

Palumbo, Gaetano, and Massimo Alioto. Model and Design of Bipolar and MOS Current-Mode Logic: CML, ECL and SCL Digital Circuits. Springer, 2010.

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16

Palumbo, Gaetano, and Massimo Alioto. Model and Design of Bipolar and MOS Current-Mode Logic: CML, ECL and SCL Digital Circuits. Springer London, Limited, 2006.

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17

Miskowiak, Kamilla W., and Lars V. Kessing. Cognitive enhancement in bipolar disorder: current evidence and methodological considerations. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198748625.003.0026.

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Cognitive dysfunction is an emerging treatment target in bipolar disorder (BD). Numerous trials have assessed the efficacy of novel pharmacological and psychological treatments on cognition. Overall, the results are disappointing, possibly due to methodological challenges. A key issue is the lack of consensus on whether and how to screen for cognitive impairment and on how to assess efficacy. We suggest that screening for cognitive impairment is critical and should involve objective neuropsychological tests. We also recommend that the primary outcome is a composite of neuropsychological tests with socio-occupational function as co-primary or secondary outcome. Trials should include fully or partially remitted patients, ensure that concomitant medication is kept stable and that statistical methods include mixed models or similar ways to take account of missing values. Future treatment development should implement a ‘circuit-based’ neuroimaging biomarker model to examine neural target engagement. Interventions targeting multiple treatment modalities may also be beneficial.
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18

Schneck, Christopher. Treating Depression and Bipolar Disorder in Integrated Care Settings. Edited by Robert E. Feinstein, Joseph V. Connelly, and Marilyn S. Feinstein. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190276201.003.0012.

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Primary care clinics are the de facto treatment settings for patients with major depression and bipolar disorder. Primary care patients with mood disorders are more difficult to assess and treat than patients without such disorders, often have comorbid medical and psychiatric conditions, and require greater practice resources for optimal management. Because current treatment of mood disorder patients in primary care settings is often minimally adequate, changes in overall management strategies are needed to improve outcomes. This chapter describes pathways by which primary care providers can implement an integrated care and collaborative model likely to improve patient outcomes. It describes the epidemiology and costs of mood disorders, as well as basic pharmacologic and psychosocial approaches useful in primary care settings. Depressed patients who are refractory to treatment and patients with bipolar disorder are more complicated to manage and almost always require collaboration with a behavioral health specialist and a consulting psychiatrist.
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19

Green, Keith R. A model of the short-channel, metal-oxide-semiconductor field-effect transistor for pragmatic mixed-mode device/circuit simulation. 1993.

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20

Suzuki, Kunihiro, ed. Bipolar Transistor and MOSFET Device Models. BENTHAM SCIENCE PUBLISHERS, 2016. http://dx.doi.org/10.2174/97816810826151160101.

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21

Chen, Meng-Kai. Methods for developing and assessing circuit models for bipolar diodes and transistors. 1989.

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22

Wu, Being Song. Revised models for bipolar integrated-circuit simulation. 1989.

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23

Brennand, Kristen. Application of Stem Cells to Understanding Psychiatric Disorders. 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/9780190681425.003.0005.

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While much has been learned through clinical post-mortem and neuroimaging studies of patients and animal models of autism spectrum disorder (ASD), bipolar disorder (BD) and schizophrenia (SZ), these classical approaches have yet to fully elucidate the interaction of complex genetic risk factors on disease predisposition. The derivation of human induced pluripotent stem cells (hiPSCs) from patients with psychiatric disorders permits the study of the full complement of risk variants (known and unknown) that underlie disease predisposition, precisely in the cell types relevant to disease. The following chapter covers work to date regarding the advancements in the use of hiPSCs to model psychiatric disorders.
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24

Joffe, Russell T., and L. Trevor Young. Bipolar Disorder: Biological Models and Their Clinical Application. Taylor & Francis Group, 1997.

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25

undifferentiated, Young. Bipolar Disorder : Biological Models & Their Clinical Applications (Medical Psychiatry, 7). Informa Healthcare, 1997.

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26

Watson, David, and Michael W. O'Hara. Understanding the Emotional Disorders. Oxford University Press, 2017. http://dx.doi.org/10.1093/med:psych/9780199301096.001.0001.

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Understanding the Emotional Disorders: A Symptom-Based Approach examines replicable symptom dimensions contained within five adjacent diagnostic classes in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders: depressive disorders, bipolar and related disorders, anxiety disorders, obsessive-compulsive and related disorders, and trauma- and stressor-related disorders. It reviews several problems and limitations associated with traditional, diagnosis-based approaches to studying psychopathology, and it establishes the theoretical and clinical value of analyzing specific types of symptoms within the emotional disorders. It demonstrates that several of these disorders—most notably, major depression, bipolar disorder, posttraumatic stress disorder, and obsessive-compulsive disorder—contain multiple symptom dimensions that clearly can be differentiated from one another. Moreover, these symptom dimensions are highly robust and generalizable and can be identified in multiple types of data, including self-ratings, semistructured interviews, and clinicians’ ratings. Furthermore, individual symptom dimensions often have strikingly different correlates, such as varying levels of criterion validity and diagnostic specificity. It concludes with the development of a more comprehensive, symptom-based model that subsumes various forms of psychopathology—including sleep disturbances, eating- and weight-related problems, personality pathology, psychosis/thought disorder, and hypochondriasis—beyond the emotional disorders.
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27

Lee, Herbert K. H., Matthew Taddy, Robert Gramacy, and Genetha Gray. Designing and analysing a circuit device experiment using treed Gaussian processes. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.28.

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This article describes a new circuit device, developed in collaboration with scientists at Sandia National Laboratories, based on treed Gaussian processes (TGP). The circuit devices under study are bipolar junction transistors, which are used to amplify electrical current. To aid with the design of the device, a computer model predicts its peak output as a function of the input dosage and a number of design parameters. The methodology also involves a novel sequential design procedure to generate data to fit the emulator. Both physical and computer simulation experiments are performed, and the results show that the TGP model can be useful for spatial data and semiparametric regression in the context of a computer experiment for designing a circuit device, for sequential design of (computer) experiments, sequential robust local optimization, validation, calibration, and sensitivity analysis.
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28

Scott, Jan. Psychological interventions for early stage bipolar disorder. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198748625.003.0011.

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Clinical staging and early intervention models used in psychosis and depression have only recently been applied to individuals ‘at risk’ of bipolar disorder (BD), or experiencing a first episode of BD. This chapter briefly discusses the concept of staging and then reviews ongoing research into the adaptation and use of psychological interventions in ‘at risk’ and ‘first BD episode’ populations. Evidence indicates that the current interventions may not sufficiently target specific developmentally normal changes in cognitive–emotional and sleep–circadian regulation systems that may act as triggers for mood episodes. So the chapter discusses how to tackle these ‘dysregulations’ and how to ensure any ‘early stage’ therapy is sufficiently flexible to tackle the range of problems experienced, including mood symptoms, harmful alcohol or substance use, and/or co-morbid physical ill-health and that the therapy models must take into account that not all individuals in high-risk populations actually develop BD.
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29

Youngstrom, Eric, and Anna Van Meter. Comorbidity of Bipolar Disorder and Depression. Edited by C. Steven Richards and Michael W. O'Hara. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199797004.013.003.

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There has been speculation about the relationship between depression and mania for centuries. Modern psychiatry and psychology have mostly viewed these as different subtypes within a “family” of mood disorders. Conceptual models of comorbidity provide an opportunity to re-examine the association between depression and other pathological mood states. We examine the evidence pertaining to rates of “comorbidity,” which, in this case, refer to the lifetime occurrence of depression and hypomanic, mixed, or manic episodes in the same individual. We explore factors that could contribute to artifactual comorbidity. We also examine data pertaining to similarities or differences in phenomenology, longitudinal course, associated features, family history, and treatment response. Multiple factors are likely involved in the comorbidity of depression and hypomania or mania, and the problems of poor reliability and inconsistent diagnostic definitions and methodology attenuate the significance of most research findings. However, evidence appears sufficient to conclude that not all depression is on the bipolar spectrum, that bipolar features moderate the course and outcome of depressive illness, and that depression and bipolar disorder most likely involve a blend of some shared and some specific mechanisms. Research and clinical work both will advance substantially by more systematically assessing for potential bipolar features “comorbid” with depression and following how these factors change the trajectory of depression over time.
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30

Rudolph, Matthias. Introduction to Modeling HBTs. Artech House Publishers, 2006.

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31

Burdick, Katherine E., Luz H. Ospina, Stephen J. Haggarty, and Roy H. Perlis. The Neurobiology and Treatment of Bipolar Disorder. 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/9780190681425.003.0020.

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Bipolar disorder (BPD) is a severe mood disorder that often has psychotic features. Its most severe forms are more common and significantly more likely to cause disability than originally thought. Studies of high-risk children have found them to be at increased risk for a variety of symptoms and neurobiological abnormalities. In contrast to schizophrenia, there is no formal prodromal syndrome that has been identified, and cognitive abnormalities do not precede the onset of the disorder. Abnormal sleep and circadian rhythms are prominent and have led to intriguing biological models. Neurobiological experiments have primarily focused on candidate pathways and include circadian abnormalities, epigenetic processes including histone modification, WNT/GSK3 signaling, other modulators of neuroplasticity, and mitochondrial dysfunction. Recent data suggest that BPD is a highly polygenic disease and that integration of prior modeling and data with the wide variety of new genetic risk loci will be productive in the future.
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32

Hudgins, Jerry. Insulated Gate Bipolar Transistors-models and Simulation Realization (Synthesis Lectures on Power Electronics). Morgan & Claypool Publishers, 2007.

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33

Lee, Sang-Gug. Predictive modeling of high-current output resistance and thermal effects in bipolar junction transistors. 1992.

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34

Physical Limitations of Inp/Ingaas Heterojunction Bipolar Transistors (Series in Microelectronics,). Hartung-Gorre, 2002.

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35

McCarty, Richard. Stress and Mental Disorders: Insights from Animal Models. Oxford University Press, 2020. http://dx.doi.org/10.1093/med-psych/9780190697266.001.0001.

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Stress has now been recognized as an important factor in the development or recurrence of various mental disorders, from major depressive disorder to bipolar disorder to anxiety disorders. Stressful stimuli appear to exert their effects by acting upon individuals with susceptible genotypes. Over the past 50 years, animal models have been developed to study these dynamic interactions between stressful stimuli and genetically susceptible individuals during prenatal and postnatal development and into adulthood. This book begins with a discussion of the history of psychiatric diagnosis and the recent goal of moving toward precision psychiatry, followed by a review of clinical research on connections between stressful stimuli and the development of psychiatric disorders. Chapters are also included on neuroendocrine, immune, and brain systems involved in responses to stress. Additional chapters focus on the development of animal models in psychiatry and the susceptibility of the developing organism to stressful stimuli. Subsequent chapters are devoted to animal models of specific stress-sensitive psychiatric disorders, including schizophrenia, autism spectrum disorders, bipolar disorder, anxiety disorders, depression, and post-traumatic stress disorder. These chapters also focus on the identification of promising molecular targets for development of new drug therapies; a chapter examines animal models of resilience to stress-induced behavioral alterations as a newer approach to understand why some animals (e.g., inbred mice) are susceptible to stress and others are resilient, even if they are essentially genetically identical. The final chapter discusses how these basic laboratory animal models are providing promising leads for future breakthroughs in the diagnosis, treatment, and prevention of mental disorders.
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36

Bagby, R. Michael, Amanda Uliaszek, Tara M. Gralnick, and Nadia Al-Dajani. Axis I Disorders. Edited by Thomas A. Widiger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.5.

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The purpose of this chapter is to summarize and discuss the complex relationship between Five Factor Model (FFM) personality traits and clinical (Axis I) psychopathology, including depressive, bipolar, anxiety, obsessive–compulsive, eating, schizophrenia and psychotic, trauma and stress-related, and substance use disorders. Considered herein will be the alternative forms of relationship, including vulnerability, common cause, pathoplasty, complication/scar, and spectrum. This chapter will highlight the necessity for well-designed, longitudinal studies aimed at elucidating the complex relationships between the FFM and clinical disorders. Consistent research supports Neuroticism as a vulnerability factor to certain disorders, even sharing genetic etiology. However, there are also important contributions for each of the other four domains. The majority of this research is in the area of mood and anxiety disorders. Expanding these studies to include other forms of psychopathology could help identify common personality vulnerabilities to psychopathology, as well as unique predictors of certain constellations of symptoms.
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37

Hoberman, John. Sport and Political Doctrine in a Post-Ideological Age. Edited by Robert Edelman and Wayne Wilson. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199858910.013.12.

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Is the familiar left–right bipolar model of the ideological spectrum still relevant to political interpretations of national sports policies in the post-Communist age? This chapter describes what some may regard as a “post-ideological,” namely, post–Cold War, political world in which governments around the world offer political rationales for the instrumental use of sport. This chapter argues that there is a political doctrine governing the professed or actual use of sport by national governments that is so widespread and fundamental that it persists independently of traditional left–right political ideologies. These policies and their goals are quite uniform across the globe. There is a modern sports-functional orthodoxy that government officials everywhere feel they must adhere to that promises elite success plus public benefits. This functionalist discourse of sport is a state-sanctioned ideology that promotes the value of sport as a resource for implementing various forms of social engineering.
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38

Cressler, John D. Measurement and Modeling of Silicon Heterostructure Devices. Taylor & Francis Group, 2018.

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39

Mizock, Lauren, and Erika Carr. Women with Serious Mental Illness. Oxford University Press, 2020. http://dx.doi.org/10.1093/med-psych/9780190922351.001.0001.

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Women with Serious Mental Illness: Gender-Sensitive and Recovery-Oriented Care calls attention to a topic and a population that have been overlooked in research and psychotherapy—women with serious mental illnesses (schizophrenia, severe depression, bipolar disorder, and complex post-traumatic stress disorder). The book focuses on the history of mistreatment, marginalization, and oppression women with serious mental illness have encountered, not only from the general public but within the mental health system as well. This book provides an overview of recovery-oriented care for women with serious mental illness—a process of seeking hope, empowerment, and self-determination beyond the effects of mental illness. The authors provide a historical overview of the treatment of women with mental illness, their resilience and recovery experiences, and issues pertaining to relationships, work, class, culture, trauma, and sexuality. This book also offers the new model, the Women’s Empowerment and Recovery-Oriented Care intervention, for working with this population from a gender-sensitive framework. The book is a useful tool for mental health educators and providers and provides case studies, clinical strategies lists, discussion questions, experiential activities, diagrams, and worksheets that can be completed with clients, students, and peers.
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40

Taehoon, Kim. Physical modeling of the IGBT and application for smart power IC design. 1995.

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41

Liu, Huan, Geoffrey Barbier, Zhuo Feng, and Pritam Gundecha. Provenance Data in Social Media. Springer International Publishing AG, 2013.

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42

Provenance Data in Social Media. Morgan & Claypool Publishers, 2013.

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43

Thompson, Alexander, Daniel Williams, Oliver Freudenreich, Andrew Angelino, and Glenn Treisman. Psychotic Disorders and Serious Mental Illness. Edited by Mary Ann Cohen, Jack M. Gorman, Jeffrey M. Jacobson, Paul Volberding, and Scott Letendre. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199392742.003.0019.

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The major public health problem that is HIV/AIDS in persons with a serious mental illness is aptly described a “syndemic.” Having HIV/AIDS puts one at much greater risk for developing a serious mental illness. Conversely, having a serious mental illness, such as schizophrenia, bipolar disorder, major depressive disorder, substance use disorder, is associated with many factors that place one at greater risk for contracting and transmitting HIV. And, in both cases of serious mental illness and HIV/AIDS, each disorder creates many new challenges in the management of the other disorder. This chapter addresses these challenges, which center around being able to participate actively and adhere to medication regimens needed to manage both medical and psychiatric conditions. Fortunately, specialized models of care like comprehensive, integrated clinics and nurse care managers are ways to provide effective, satisfying, and cost-effective care to this most vulnerable population.
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44

Liu, Huan, Geoffrey Barbier, Zhuo Feng, and Pritam Gundecha. Provenance Data in Social Media. Morgan & Claypool Publishers, 2013.

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45

Trifu, Simona, and Ana Miruna Dragoi. Interferente clinice in psihiatrie. Experiente diagnostice. Editura Universitara, 2021. http://dx.doi.org/10.5682/9786062813253.

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Cartea „Interferente clinice in psihiatrie. Experiente diagnostice” se doreste a fi o colectie de prezentari clinice, si anume un numar de 38 de exemplificari grupate in functie de categorii diagnostice majore. Astfel, este abordata perspectiva asupra anxietatii, depresia majora, riscul suicidal, tulburarea obsesiv–compulsiva, tulburarea afectiva bipolara, tulburarile psihotice acute si tranzitorii sau cele polimorfe, schizofrenia in variile sale ipostaze, tulburarea deliranta si spectrul larg al tulburarilor de personalitate. Aceasta carte este a cincea lucrare de aceasta factura a Simonei Trifu, reunind o colectie mai bogata si o paleta diagnostica mai vasta, reusind, totodata, si o structurare mai atenta si mai riguroasa a cunostintelor practice, din dorinta de a transmite generatiilor viitoare modele valide de exprimare in terminologie de clinica psihiatrica.
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46

Yusuf, Moeed. Brokering Peace in Nuclear Environments. Stanford University Press, 2018. http://dx.doi.org/10.11126/stanford/9781503604858.001.0001.

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This book is the first to theorize third party mediation in crises between regional nuclear powers. Its relevance flows from two of the most significant international developments since the end of the Cold War: the emergence of regional nuclear rivalries; and the shift from the Cold War’s bipolar context to today’s unipolar international setting. Moving away from the traditional bilateral deterrence models, the book conceptualizes crisis behavior as “brokered bargaining”: a three-way bargaining framework where the regional rivals and the ‘third party’ seek to influence each other to behave in line with their crisis objectives and in so doing, affect each other’s crisis behavior. The book tests brokered bargaining theory by examining U.S.-led crisis management in South Asia, analyzing three major crises between India and Pakistan: the Kargil conflict, 1999; the 2001-02 nuclear standoff; and the Mumbai crisis, 2008. The case studies find strong evidence of behavior predicted by the brokered bargaining framework. They also shed light on several risks of misperceptions and inadvertence due to the challenges inherent in signaling to multiple audiences simultaneously. Traditional explanations rooted in bilateral deterrence models do not account for these, leaving a void with serious practical consequences, which the introduction of brokered bargaining seeks to fill. The book’s findings also offer lessons for crises on the Korean peninsula, between China and India, and between potential nuclear rivals in the Middle East.
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47

Cressler, John D. Measurement and Modeling of Silicon Heterostructure Devices. Taylor & Francis Group, 2018.

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48

Measurement and Modeling of Silicon Heterostructure Devices. CRC, 2007.

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49

Cressler, John D. Measurement and Modeling of Silicon Heterostructure Devices. Taylor & Francis Group, 2018.

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50

Cressler, John D. Measurement and Modeling of Silicon Heterostructure Devices. Taylor & Francis Group, 2018.

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