Current theories suggest that the brain is the sole source of mental illness. However, affective disorders, and major depressive disorder (MDD) in particular, may be better conceptualized as brain-body disorders that involve peripheral systems as well. This perspective emphasizes the embodied, multifaceted physiology of well-being, and suggests that afferent signals from the body may contribute to cognitive and emotional states. In this review, we focus on evidence from preclinical and clinical studies suggesting that afferent thermosensory signals contribute to well-being and (...) depression. Although thermoregulatory systems have traditionally been conceptualized as serving primarily homeostatic functions, increasing evidence suggests neural pathways responsible for regulating body temperature may be linked more closely with emotional states than previously recognized, an affective warmth hypothesis. Human studies indicate that increasing physical warmth activates brain circuits associated with cognitive and affective functions, promotes interpersonal warmth and prosocial behavior, and has antidepressant effects. Consistent with these effects, preclinical studies in rodents demonstrate that physical warmth activates brain serotonergic neurons implicated in antidepressant-like effects. Together, these studies suggest that (1) thermosensory pathways interact with brain systems that control affective function, (2) these pathways are dysregulated in affective disorders, and (3) activating warm thermosensory pathways promotes a sense of well-being and has therapeutic potential in the treatment of affective disorders. (shrink)

Borrowing from evolutionary biology, existentialism, developmental psychology, and social learning theory, an integrated model of human behavior is applied to several forms of self-destructive behavior, to include anorexia nervosa, suicide, substance abuse, and pathological gambling. It is argued that self-destructive behavior is a function of how the individual psychologically construes survival and copes with perceptions of isolation and separation from the environment. The paradox of self-destructive behavior in organisms motivated by self-preservation is resolved by taking note of the fact that (...) self-destruction stems from peopleís efforts to survive psychologically and resolve the subjectóobject duality, even when this places their physical well-being in jeopardy. (shrink)

ABSTRACT A growth mixture modeling (GMM) analysis of neutralization scores in 1,830 youth across six waves of data revealed evidence of a three-class model in which moral neutralization either increased (low accelerating), decreased (high decelerating), or remained the same (moderate stable) over time. Controlling for age, sex, race, group assignment, and Wave 1 delinquency, an analysis of covariance revealed a significantly greater increase in Wave 6 delinquency in the moderate stable group than in the low accelerating group. When the average (...) neutralization score was added as a control variable, the low accelerating group was highest, the moderate stable group next highest, and the high decelerating group lowest on Wave 6 delinquency. These results indicate that change in the pattern of neutralization scores (accelerating, stable, decelerating) may be as important as the level of moral neutralization at any particular point in time in determining the effect of neutralization on future delinquency. (shrink)

We can find no place in psychology for the concept of stimulus as a physical agent to which an individual responds in a psychological manner. Moreover, we can find no place for sensation and image when considered as simple mental elements. We would also purge ...

Originally published in 1973 the editors of this book collected together those studies which had been considered at the time to yield the best evidence in support of Freudian theory, and found on close examination that they failed to provide any such proof. Each paper is printed in full and is followed by a critical discussion which raises questions of statistical treatment, sufficiency of controls and alternative interpretations. The particular usefulness of this format is that it allows readers to form (...) their own opinions while providing helpful suggestions and guidelines on how to approach experimental studies with a critical mind. (shrink)

In this book, Francis Diebold and Glenn Rudebusch propose two extensions of the classic yield curve model of Nelson and Siegel that are both theoretically rigorous and empirically successful.

Based on a close reading of the debate between Rawls and Sen on primary goods versus capabilities, I argue that liberal theory cannot adequately respond to Sen’s critique within a conventionally neutralist framework. In support of the capability approach, I explain why and how it defends a more robust conception of opportunity and freedom, along with public debate on substantive questions about well-being and the good life. My aims are: to show that Sen’s capability approach is at odds with Rawls’s (...) political liberal version of neutrality; to carve out a third space in the neutrality debate; and to begin to develop, from Sen’s approach, the idea of public value liberalism as a position that falls within that third space.En me basant sur une lecture attentive du débat entre Rawls et Sen sur les biens premiers versus les capabilités, je soutiendrai que la théorie libérale est incapable, dans un cadre neutraliste conventionnel, de répondre adéquatement à des injustices dans le domaine de la santé. À partir de l’approche des capabilités, j’explique pourquoi et comment cette approche permet de défendre une conception plus robuste de l’opportunité et de la liberté, de même qu’un débat public sur des questions substantielles concernant le bien-être et la vie bonne. Mes objectifs sont : de clarifier le rapport entre le neutralisme de Rawls et sa défense des biens premiers,, de démontrer les implications de la critique des capabilités de Sen, et, d’esquisser une troisième position dans le débat sur la neutralité versus le perfectionnisme – à savoir, celle d’un perfectionnisme motivé par des considérations de légitimité. (shrink)

..". An important reminder that we are called to live our faith in our work, ... keeping Christ at the top of one's priorities, regardless of the demands of the workplace."--- J. David Karam, president, Wendy's International, Inc. ..". Both practical and inspiring!"--- Tom Monaghan, founder, Domino's Pizza, Inc., and Ave Maria University "Too many Christians treat ambition and success as if they're four-letter words.... For a Catholic in business, they can be touchstones of sanctification."--- Scott Hahn, Ph.D., professor of (...) biblical theology, Franciscan University of Steubenville ..". A hallmark for personal excellence.... [It] provides the motivation, the means, and the message needed for anyone looking to make a true difference in our world."--- Lisa M. Hendey, founder and editor of CatholicMom.com and author of A Book of Saints for Catholic Moms. (shrink)

This paper outlines the development and implementation of a new course in Engineering Ethics at the University of Tennessee. This is a three-semester-hour course and is jointly taught by an engineering professor and a philosophy professor. While traditional pedagogical techniques such as case studies, position papers, and classroom discussions are used, additional activities such as developing a code of ethics and student-developed scenarios are employed to encourage critical thinking. Among the topics addressed in the course are engineering as a profession (...) and its role in society; ethical successes and failures; risk, safety, and the environment; professional responsibilities; credit and intellectual property; and international concerns. (shrink)

Romans 13:1-7, which commands subjection to governing authorities, can be given too much weight in the moral analysis of undocumented immigrants. This article considers Romans 13 in the broader context of Romans and of the biblical canon to show biblical reasons for permitting civil disobedience toward immigration law. Rather than viewing undocumented immigrants as universally immoral lawbreakers, these biblical factors combined with analysis of civil disobedience for the preservation of life, legal ambiguities arising from competing jurisdictions, and other socio-political factors (...) show that it may be a prudent action for undocumented immigrants to disobey immigration law. (shrink)

If the opening sequence of a film is a microscopic 'event' that achieves far more than setting the tone and whetting the appetite for what we are about to see, then Todd Haynes' I'm Not There is exemplary. This paper works its way through the conceptually dense and intricately woven textual layers of the film's opening to stage a three-way dialogue between Haynes, Bob Dylan and Jacques Derrida: three mavericks who defy simple categorisation, by transgressing the boundaries of their respective (...) fields (song writing, cinema and philosophy). By introducing Derrida's deconstructive logic of hauntology as a strategy for reading Haynes' biopic on Dylan, the figure of the ghost is called upon to situate the quest for an identity's authenticity as a perennial, irresolvable problem in song, cinema and philosophy. Belonging to a time that is neither past nor present, a place that is neither here nor there, the ghost offers the perfect medium to join Haynes, Dylan and Derrida in (re)thinking identity in terms that respond to a call (in the name of art, justice and truth, among other things) that is not based on an unyielding conception of authenticity. (shrink)

This book is unique in presenting an interdisciplinary conversation between jurists and logicians. It brings together scholars from both law and philosophy and looks at the application of 'the new logics' to law and legal ordering, in a number of legal systems. The first Part explores the ways in which the new logics shed light on the functioning of legal orders, including the structure of legal argumentation and the rules of evidence. The second addresses how non-classical logics can help us (...) to understand the interactions between multiple legal orders, in a range of contexts including domestic and international law. The final Part examines particular issues in the applicability of non-classical logics to legal reasoning. This book will be of interest to jurisprudence and logic scholars and students who want to deepen their understanding of relationships between law and legal reasoning, and learn about recent developments in formal logic. (shrink)

Clinical bioethics is big business. There are now hundreds of people who bioethics in community and university hospitals, nursing homes, rehabilitation and home care settings, and some who play the role of clinical ethics consultant to transplant teams, managed care companies, and genetic testing firms. Still, there is as much speculation about what clinically active bioethicists actually do as there was ten years ago. Various commentators have pondered the need for training standards, credentials, exams, and malpractice insurance for ethicists engaged (...) in clinical consultation. Much of the discussion seems to accept an implicit presumption that all clinical ethics consultation practices look pretty much alike. But is this accurate? What do clinical ethicists do, how and where do they do it, and what kind of clinical ethics is useful in the hospital and in other settings? (shrink)

THE ART OF CAUSAL CONJECTURE Glenn Shafer Table of Contents Chapter 1. Introduction........................................................................................ ...........1 1.1. Probability Trees..........................................................................................3 1.2. Many Observers, Many Stances, Many Natures..........................................8 1.3. Causal Relations as Relations in Nature’s Tree...........................................9 1.4. Evidence............................................................................................ ...........13 1.5. Measuring the Average Effect of a Cause....................................................17 1.6. Causal Diagrams..........................................................................................20 1.7. Humean Events............................................................................................23 1.8. Three Levels of Causal Language................................................................27 1.9. An Outline of the Book................................................................................27 Chapter 2. Event Trees............................................................................................... .....31 2.1. Situations and Events...................................................................................32 2.2. The Ordering of Situations and Moivrean Events.......................................35 2.3. Cuts................................................................................................ ..............39 2.4. Humean Events............................................................................................43 (...) 2.5. Moivrean Variables......................................................................................49 2.6. Humean Variables........................................................................................53 2.7. Event Trees for Stochastic Processes...........................................................54 2.8. Timing in Event Trees.................................................................................56 2.9. Intersecting Event Trees...............................................................................60 2.10. Notes on the Literature...............................................................................61 Chapter 3. Probability Trees...........................................................................................63 3.1. Some Types of Probability Trees.................................................................64 ii 3.2. Axioms for the Probabilities of Moivrean Events.......................................68 3.3. Zero Probabilities....................................................................................... ..70 3.4. A Sample-Space Analysis of the Event-Tree Axioms.................................72 3.5. Probabilities and Expected Values for Variables.........................................74 3.6. Martingales......................................................................................... .........79 3.7. The Expectation of a Variable in a Cut........................................................83 3.8. Conditional Expected Value and Conditional Expectation.........................87 Chapter 4. The Meaning of Probability...........................................................................91 4.1. The Interpretation of Expected Value..........................................................92 4.2. The Interpretation of Expectation................................................................95 4.3. The Long Run..............................................................................................98 4.4. Changes in Belief.........................................................................................101 4.5. The Empirical Validation of Probability......................................................106 4.6. The Diversity of Uses of Probability...........................................................108 4.7. Notes on the Literature.................................................................................110 Chapter 5. Independent Events.......................................................................................113 5.1. Independence........................................................................................ .......114 5.2. Weak Independence.....................................................................................118 5.3. The Principle of the Common Cause...........................................................121 5.4. Conditional Independence............................................................................128 5.5. Notes on the Literature.................................................................................133 Chapter 6. Events Tracking Events.................................................................................135 6.1. Tracking............................................................................................ ...........137 6.2. Tracking and Conditional Independence.....................................................142 6.3. Stochastic Subsequence...............................................................................143 6.4. Singular Diagrams for Stochastic Subsequence...........................................147 6.5. Conjunctive and Interactive Forks...............................................................149 Chapter 7. Events as Signs of Events..............................................................................153 iii 7.1. Sign................................................................................................ ..............154 7.2. Weak Sign................................................................................................ ....159 7.3. The Ethics of Causal Talk............................................................................160 7.4. Screening Off...............................................................................................16 2 Chapter 8. Independent Variables...................................................................................167 8.1. Unconditional Independence........................................................................170 8.2. Conditional Independence............................................................................175 8.3. Independence for Partitions.........................................................................177 8.4. Independence for Families of Variables......................................................182 8.5. Individual Properties of the Independence Relations...................................186 Chapter 9. Variables Tracking Variables........................................................................189 9.1. Tracking and Conditional Independence: A Summary...............................190 9.2. Strong Tracking............................................................................................ 192 9.3. Strong Tracking and Conditional Independence..........................................198 9.4. Stochastic Subsequence...............................................................................201 9.5. Functional Dependence................................................................................203 9.6. Tracking in Mean.........................................................................................204 9.7. Linear Tracking............................................................................................ 207 9.8. Tracking by Partitions..................................................................................210 9.9. Tracking by Families of Variables...............................................................212 Chapter 10. Variables as Signs of Variables...................................................................215 10.1. Sign................................................................................................ ............219 10.2. Linear Sign................................................................................................ .222 10.3. Scored Sign................................................................................................ 225 10.4. Families of Variables.................................................................................227 Chapter 11. AnTheory of Event Trees.............................................................229 11.1. Event Trees as Sets of Sets........................................................................230 11.2. Event Trees as Partially Ordered Sets........................................................232 iv 11.3. Regular Event Trees...................................................................................240 11.4. The Resolution of Moivrean Variables......................................................244 11.5. Humean Events and Variables...................................................................246 Chapter 12. Martingale Trees..........................................................................................247 12.1. Examples of Decision Trees......................................................................249 12.2. The Meaning of Probability in a Decision Tree.........................................253 12.3. Martingales......................................................................................... .......257 12.4. The Structure of Martingale Trees.............................................................261 12.5. Probability and Causality...........................................................................265 12.6. Lower and Upper Probability.....................................................................269 12.7. The Law of Large Numbers.......................................................................272 12.8. Notes on the Literature...............................................................................274 Chapter 13. Refining............................................................................................ ...........275 13.1. Examples of Refinement............................................................................277 13.2. A Constructive Definition of Finite Refinement.......................................281 13.3. Axioms for Refinement..............................................................................282 13.4. Lifting Moivrean Events and Variables.....................................................288 13.5. Refining Martingale Trees.........................................................................288 13.6. Grounding........................................................................................... .......294 Chapter 14. Principles of Causal Conjecture..................................................................299 14.1. The Diversity of Causal Explanation.........................................................302 14.2. The Mean Effect of the Happening of a Moivrean Event..........................305 14.3. The Effect of a Humean Variable..............................................................311 14.4. Attribution and Generality.........................................................................316 14.5. The Statistical Measurement of the Effect of a Cause...............................319 14.6. Measurement by Experiment.....................................................................320 14.7. Using Our Knowledge of How Things Work............................................322 v 14.8. Sampling Error...........................................................................................329 14.9. The Sampling Frame..................................................................................329 14.10. Notes on the Literature.............................................................................330 Chapter 15. Causal Models.............................................................................................3 31 15.1. The Causal Interpretation of Statistical Prediction....................................333 15.2. Generalizing to a Family of Exogenous Variables....................................337 15.3 Some Joint Causal Diagrams......................................................................339 15.4. Causal Path Diagrams................................................................................342 15.5. Causal Relevance Diagrams.......................................................................346 15.6. The Meaning of Latent Variables..............................................................352 15.7. Notes on the Literature...............................................................................357 Chapter 16. Representing Probability Trees...................................................................359 16.1. Three Graphical Representations...............................................................361 16.2. Skeletal Simplifications.............................................................................368 16.3. Martingale Trees in Type Theory...............................................................371 Appendix A. Huygens’s Probability Trees.....................................................................379 Huygens’s Manuscript in Translation..................................................................380 Appendix B. Some Elements of Graph Theory..............................................................385 B1. Undirected Graphs........................................................................................385 B2. Directed Graphs............................................................................................38 6 Appendix C. Some Elements of Order Theory...............................................................393 C1. Partial and Quasi Orderings.........................................................................393 C2. Singular and Joint Diagrams for Binary Relations.......................................394 C3. Lattices............................................................................................ .............395 C4. The Lattice of Partitions of a Set..................................................................396 Appendix D. The Sample-Space Framework for Probability.........................................399 D1. Probability Measures....................................................................................399 D2. Variables........................................................................................... ...........400 vi D3. Families of Variables...................................................................................401 D4. Expected Value............................................................................................402 D5. The Law of Large Numbers.........................................................................405 D6. Conditional Probability................................................................................406 D7. Conditional Expected Value........................................................................407 Appendix E. Prediction in Probability Spaces................................................................409 E1. Conditional Distribution...............................................................................411 E2. Regression on a Single Variable...................................................................412 E3. Regression on a Partition or a Family of Variables......................................415 E4. Linear Regression on a Single Variable.......................................................418 E5. Linear Regression on a Family of Variables................................................422 Appendix F. Sample-Space Concepts of Independence.................................................425 F1. Overview............................................................................................ ...........426 F2. Independence Proper.....................................................................................432 F3. Unpredictability in Mean..............................................................................434 F4. Simple Uncorrelatedness..............................................................................437 F5. Mixed Uncorrelatedness...............................................................................438 F6. Partial Uncorrelatedness...............................................................................440 F7. Independence for Partitions..........................................................................442 F8. Independence for Families of Variables.......................................................445 F9. The Basic Role of Uncorrelatedness.............................................................448 F10. Dawid’s Axioms.........................................................................................449 Appendix G. Prediction Diagrams..................................................................................453 G1. Path Diagrams............................................................................................ ..454 G2. Generalized Path Diagrams..........................................................................462 G3. Relevance Diagrams.....................................................................................466 G4. Bubbled Relevance Diagrams......................................................................475 Appendix H. Abstract Stochastic Processes...................................................................479 vii H1. Probability Conditionals and Probability Distributions...............................477 H2. Abstract Stochastic Processes......................................................................479 H3. Embedding Variables and Processes in a Sample Space.............................480 References.......................................................................................... ..............................491. (shrink)

Lang, B. Philosophy and the manners of art.--Hofstadter, A. Freedom, enownment, and philosophy.--Mehta, J. L. A stranger from Asia.--Fox, D. A. A passage past India.--Rucker, D. Philosophy and the constitution of Emerson's world.--Schneider, H. W. The pragmatic movement in historical perspective.--Barnes, H. E. Reflections on myth and magic.--Cauvel, J. The imperious presence of theater.--Seay, A. Musical conservatism in the fourteenth century.--Hochman, W. R. The enduring fascination of war.--Davenport, M. M. J. Glenn Gray and the promise of wisdom.

Glenn Wallis & John Kendall Hawkins An Interview with Glenn Wallis -/- Glenn Wallis is an independent scholar and founder of Incite Seminars in Philadelphia. He has taught at several universities, including Brown University and the University of Georgia. His most recent books include A Critique of Western Buddhism and How to Fix Education. Wallis blogs at Speculative Non-Buddhism. He holds a Ph.D. in Buddhist studies from Harvard University. He has also recently published An Anarchist’s Manifesto (Warbler, (...) 2021). He is an expert in Emma Goldman’s practical philosophy of anarchy. Here in this interview, he goes into detail about what Goldman espoused and her legacy, while also contrasting her thoughts on anarchy with his own. He addresses how notions of anarchy have changed over time and what its value is today. -/- John Kendall Hawkins is an American ex-pat freelancer based in Australia. He is a former reporter for The New Bedford Standard-Times. (shrink)