Anaclitic (sociotropic) and introjective (autonomous) dimensions.

The distinction between the anaclitic and introjective configuration of personality and psychopathology has potential to inform therapeutic practice. Anaclitic patients, concerned primarily with obtaining and maintaining close and nurturing interpersonal relations, respond differently to brief and longterm treatment, in comparison to their introjective counterparts, who are mainly concerned with securing a positive sense of self. This article reviews research on the therapeutic responses of anaclitic and introjective patients in three settings: (a) in intensive, inpatient psychoanalytically oriented treatment; (b) in psychoanalysis as compared to long-term supportive-expressive therapy; and (c) in manualized brief treatments for depression. Findings indicate that anaclitic patients improve more in long-term supportive expressive therapy than in psychoanalysis. The reverse occurs with introjective patients, who also did particularly poorly in brief manualized treatment for depression. Therapists should take into account the tendency of anaclitic and introjective patients to receive and react differently to different therapeutic situations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Model‐Based Visualization of Temporal Abstractions

We describe a new conceptual methodology and related computational architecture called Knowledge‐based Navigation of Abstractions for Visualization and Explanation (KNAVE). KNAVE is a domain‐independent framework specific to the task of interpretation, summarization, visualization, explanation, and interactive exploration, in a context‐sensitive manner, of time‐oriented raw data and the multiple levels of higher level, interval‐based concepts that can be abstracted from these data. The KNAVE domain‐independent exploration operators are based on the relations defined in the knowledge‐based temporal‐abstraction problem‐solving method, which is used to abstract the data, and thus can directly use the domain‐specific knowledge base on which that method relies. Thus, the domain‐specific semantics are driving the domain‐independent visualization and exploration processes, and the data are viewed through a filter of domain‐specific knowledge. By accessing the domain‐specific temporal‐abstraction knowledge base and the domain‐specific time‐oriented database, the KNAVE modules enable users to query for domain‐specific temporal abstractions and to change the focus of the visualization, thus reusing for a different task (visualization and exploration) the same domain model acquired for abstraction purposes. We focus here on the methodology, but also describe a preliminary evaluation of the KNAVE prototype in a medical domain. Our experiment incorporated seven users, a large medical patient record, and three complex temporal queries, typical of guideline‐based care, that the users were required to answer and/or explore. The results of the preliminary experiment have been encouraging. The new methodology has potentially broad implications for planning, monitoring, explaining, and interactive data mining of time‐oriented data.     

Superresolution restoration of an image sequence: adaptivefiltering approach

This paper presents a new method based on adaptive filtering theory for superresolution restoration of continuous image sequences. The proposed methodology suggests least squares (LS) estimators which adapt in time, based on adaptive filters, least mean squares (LMS) or recursive least squares (RLS). The adaptation enables the treatment of linear space and time-variant blurring and arbitrary motion, both of them assumed known. The proposed new approach is shown to be of relatively low computational requirements. Simulations demonstrating the superresolution restoration algorithms are presented.     

Risk assessment of malicious biocontamination of food

Throughout the last decades of the 20th century, the biological threat evolved from primarily a government-controlled weapon to a tool of terrorism. One of the consequences of this trend is the near impossibility of foreseeing when and how an act of bioterrorism will occur. The suitability of food products for such an act stems from the multitude of microorganisms that may be used for contamination and the vulnerability of the products during and after processing. Tests that would enable the detection of a large variety of microorganisms quickly, reliably, and economically should also provide satisfactory means to prevent acts of malicious biocontamination of food products. Until such means become available, a priority-based approach to the problem is probably the most practical. Priorities should be determined based on a systematic risk assessment to define the relative likelihood of a certain microorganism being used in an act of malicious food contamination. Criteria to be evaluated are availability, weaponization processes, delivery of an effective dose, probability of early detection, and the microorganism's resistance to the conditions to which it will be exposed. Because the results of such an assessment may vary according to prevailing conditions, the assessment must be based on the existing circumstances. The results of the assessment should then be applied to the various procedures of food processing, which should further reduce the number of potential microbial threats. Existing methods of screening food for contaminating microorganisms and existing food safety and security procedures such as hazard analysis and critical control point programs may have to be modified to become suitable for the detection of acts of bioterrorism.     

Low Temperature Characteristics of Ion Implanted Silicon Position Sensitive Detectors

The operation of ion implanted silicon position sensitive detectors at low temperatures will be described. The improved noise performance of the detector at these temperatures in both the energy and position modes will be analyzed and its implications on low energy applications will be discussed. A large part of the investigation was devoted to the study of boron implanted resistors and their noise properties both at room temperature and cryogenic temperatures.     

The Impact of Electronic Charge on Catalytic Reactivity and Selectivity of Metal-Oxide Supported Metallic Nanoparticles

The catalytic reactivity and selectivity of metallic nanoclusters supported on a metal-oxide can be tuned by electronic charge. In this review, different approaches for controlling the electronic properties of metallic nanoclusters and its impact on catalytic reactions are discussed. Electronic charge can transfer from the metal-oxide support to the metallic catalyst and change the metal–reactants interaction and as a consequence modify as-well the catalytic reactivity and selectivity. In other cases, the electronic properties of the metal-oxide have an active role in the catalytic process and the metal oxide can be used as a co-catalyst. Another approach is to directly change the electronic properties of the metallic catalyst. It is demonstrated that dendrimer-encapsulated metallic nanoparticles can be directly oxidized by the addition of an inorganic oxidizer to the solution phase. In this case, even while supported on inert oxides, novel catalytic reactivity and selectivity can be gained by the formation of highly oxidized metal ions.