How Should We Do Nanoethics? A Network Approach for Discerning Ethical Issues in Nanotechnology

There is no agreement on how nanoethics should proceed. In this article I focus on approaches for discerning ethical issues in nanotechnology, which is as of yet one of the most difficult and urging tasks for nanoethics. I discuss and criticize two existing approaches for discerning ethical issues in nanotechnology and propose a network approach as alternative. I discuss debates in nanoethics about the desirable role of ethics in nanotechnological development and about the newness of ethical issues in nanotechnology. On basis of a critical analysis of both debates, I formulate a number of desiderata for a method for discerning ethical issues in nanotechnology and argue that the network approach that my colleagues and I have developed for ethical issues in research and development networks is also appropriate in nanotechnology.

Transcending a Differend: Studying Therapeutic Processes Conversationally

Studies of actual conversational behaviours used to generate positive change in family therapy are relatively rare. In this study such conversational details were examined as they occurred in a single session of family therapy. With passages identified by family members as helpful, discursive methods of analysis (conversation analysis and critical discourse analysis) were used to examine an actual conversation between a renowned family therapist (Karl Tomm) and a family formerly at a conversational impasse. Conversational practices and sequences in talk used by the therapist and family members to bridge these differences in their ways of relating are discussed.     

Dimensions of control: Mediational analyses of the stress–health relationship

Multiple dimensions of control are examined in relations with stress and physical health outcomes. Factor analysis of six measures of control from 187 elderly individuals yielded two factors: Self-Efficacy, people’s beliefs about their ability to exercise control over themselves and their environment, and Need for Power and Autonomy, the desire to control others and exercise self-determination. Various hypotheses regarding the process by which control impacts the relationship between stress and health were then tested. Self-Efficacy partially mediated and moderated the relationship between stress and physical health, whereas the Need for Power and Autonomy served neither function. Self-efficacy appears to be a lens through which older adults view stress, affecting the way it is interpreted and managed, ultimately impacting health outcomes.     

Soames on Quine and Davidson

A discussion of Quine and Davidson, as interpreted and criticized in Scott Soames’ Philosophical Analysis in the Twentieth Century, Volume II.     

Interactivism: A manifesto

The interactivist model has grown over the last several decades from a narrower initial beginning into an evolving systematic theory and underlying philosophy. It has been induced to do so because the underlying assumptions that framed the beginnings of the model were fundamentally different from those that are dominant throughout psychology, cognitive science, and philosophy. Consequently, the model faced multiple instances of attempting to integrate with literature in neighboring fields, discovering that such integration was not possible because the basic assumptions were not compatible, and having to either give up on the model thus far constructed, or else extend it in a way consistent with those assumptions into those neighboring (and foundational) domains. This manifesto outlines the resultant interactivist framework, presents some of the arguments for its underlying assumptions, and argues that these avoid problems that are fatal for many standard approaches in the literature.     

Clients’ in-session acceptance and cognitive defusion behaviors in acceptance-based treatment of tinnitus distress

Cognitive-behavioral treatment (CBT) is considered to be an effective treatment of distress associated with tinnitus (perception of internal noises without any outer auditory stimulation), but the processes by which the therapy works remain unclear. Mindfulness and acceptance is receiving increased attention in the treatment literature for chronic medical conditions. However, few studies have examined these and related processes with behavioral or observer measures. In the present study 57 videotapes (a total of 1710 min) from 19 clients who participated in a controlled trial of an acceptance-based treatment for tinnitus distress, were coded for frequency and peak level of verbal behaviors expressing either acceptance or cognitive defusion. Frequency of cognitive defusion behaviors and peak level of cognitive defusion as well as peak level of acceptance rated in Session 2, predicted symptom reduction 6 month following treatment. These relationships were not accounted for by the improvement that had occurred prior to the measurement point of the process variables. Moreover, prior symptom changes could not predict process variables rated later in therapy (after most of the improvement in therapy had occurred). Thus, clients’ in-session acceptance and cognitive defusion behaviors appear to play an important role in the reduction of negative impact of tinnitus.     

A process-based model for an interactive ontology

The paper proposes a process-based model for an ontology that encompasses the emergence of process systems generated by increasingly complex levels of organization. Starting with a division of processes into those that are persistent and those that are fleeting, the model builds through a series of exclusive and exhaustive disjunctions. The crucial distinction is between those persistent and cohesive systems that are energy wells, and those that are far-from-equilibrium. The latter are necessarily open; they can persist only by interaction with their environments. Further distinctions, developed by means of the notions of self-maintenance and error detection, lead to the identification of complex biological organisms that are flexible learners, some of which are self-conscious and form themselves into social institutions. This model provides a non-reductive model for understanding human beings as both embodied and yet emergent. In particular, it provides a way of characterizing action as ‘metaphysically deep’, not an ontological embarrassment within an otherwise physicalist world.     

Synchronicity and moments of meeting

Abstract :  The paper ¹ considers the role of synchronicity in the establishment of meaning in analysis, and links it to the notion of moments of meeting proposed by the Boston Process of Change Study Group. In so doing, the paper proposed to view synchronicity as an element in developmental processes, wherein attributions of meaningfulness are made in relation to patterns of action that do not have intrinsic meaning, but which have evolved in an environment of meaning, thereby bootstrapping the infant into the world of meaning. Jung's paradigmatic example of synchronicity—the scarab beetle event—is examined in this context and the argument is made that the event was primarily meaningful for Jung and carried with it important countertransference implications that Jung did not consider. The paper concludes with some suggestions for further investigation into the relationship between synchronicity and clinical practice.     

No Time, No Wholes: A Temporal and Causal-Oriented Approach to the Ontology of Wholes

What distinguishes a whole from an arbitrary sum of elements? I suggest a temporal and causal oriented approach. I defend two connected claims. The former is that existence is, by every means, coextensive with being the cause of a causal process. The latter is that a whole is the cause of a causal process with a joint effect. Thus, a whole is something that takes place in time. The approach endorses an unambiguous version of Restricted Composition that suits most commonsensical intuitions about wholes.     

RBF神经网络在股价预测中的应用

提出了一种基于RBF神经网络的股票价格预测模型。该模型通过对历史股价数据的分析,采用K-均值聚类算法动态确定RBF网络中心,根据梯度下降法进行自适应权值调整。并且根据股价的差异大,时变性强和高度非线性的特点,对RBF网络的学习算法进行了改进,进一步提高了RBF网络的非线性映射能力和自适应能力,最后运用该模型对股票走势进行了预测。