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Learning to Understand Natural Language with Less Human Effort
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In: DTIC (2015)
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| 3 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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Performance Evaluation of a Semantic Perception Classifier
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In: DTIC (2013)
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| 6 |
A Method for Correcting Broken Hyphenations in Noisy English Text
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In: DTIC (2012)
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| 8 |
Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
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In: DTIC (2011)
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| 9 |
Expanding the Toolkit and Resource Environment to Assist Translation (TREAT) and Its User Base
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In: DTIC (2011)
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| 10 |
Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling
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In: DTIC (2011)
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| 11 |
Emergent Intelligent Behavior through Integrated Investigation of Embodied Natural Language, Reasoning, Learning, Computer Vision, and Robotic Manipulation
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In: DTIC (2011)
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| 12 |
Transfer Learning in Integrated Cognitive Systems
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In: DTIC (2010)
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| 13 |
Specification and Validation of Space System Behaviors
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In: DTIC (2010)
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| 14 |
Form and Function of Linguistic Elements. Formal Systems for Representing Changing Situations. Dynamic Information Systems: Notes on some systems of grammar and interpretation
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In: DTIC (2009)
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| 15 |
Prostate Cancer Survivors with Rising PSA and Their Spouses: Treatment Decision Making and Quality of Life
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In: DTIC (2009)
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Abstract:
Advances in the treatment of prostate cancer have produced excellent 5-year survival chances. Despite this success, a growing number of patients experience a rise in prostate-specific antigen (PSA) levels after treatment. Even if widespread disease is not found, a rising PSA is a sign that prostate cancer might have recurred. From a psychological point of view, patients and their spouses/partners are forced to deal with a disease they believed they have overcome. For a second time they face a health decision with few treatment guidelines, the potential for substantial side-effects, and uncertain outcomes, including the possibility of death. This study involves patients and their spouses/partners who are attending two medical institutions: the Deane Prostate Health and Research Center in the Department of Urology at Mount Sinai Hospital, New York City, and the Department of Medical Oncology at Fox Chase Cancer Center, Philadelphia, PA. Patients will have been diagnosed with rising PSA but have no clinical evidence of cancer. Eligible patients and their spouse/partners who have agreed to participate (n=191) will take part in a 6-month-long assessment study. During this time, they will be interviewed via questionnaires three times: at the beginning (baseline), at 6-months, and when they have made a treatment decision. Our research focus and the measures used for data collection are guided by our cognitive-social health information processing (C-SHIP) theoretical framework. This framework incorporates individuals' experiences, expectations, beliefs, values, and emotional responses to a health threat, and sees these components as influential factors in treatment decision making. Both the patient and the spouse/partner will be assessed. Due to the limited patient enrollment, no significant findings can be reported at this time. We plan to keep the study open as an unfunded project at both institutions to accrue more participants.
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Keyword:
*DECISION MAKING; *EMOTIONS; *FAMILY MEMBERS; *PATIENTS; *PROSTATE CANCER; *QUALITY OF LIFE; *REACTION(PSYCHOLOGY); *RISING PSA; *TREATMENT DECISION MAKING; ANTIGENS; BELIEFS; CANCER RECURRENCE; DISEASE MANAGEMENT; ELEVATED PSA; FEMALES; FOCUS GROUPS; INTERVIEWS; Linguistics; LIWC(LINGUISTIC INQUIRY AND WORD COUNT); MALES; Medicine and Medical Research; PARTNERS; PSA(PROSTATE-SPECIFIC ANTIGEN); Psychology; QUESTIONNAIRES; RADIOTHERAPY; SPOUSES; SURGERY; TEXT ANALYSIS COMPUTER PROGRAMS; UNCERTAINTY; VALUES; WORDS(LANGUAGE)
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URL: http://www.dtic.mil/docs/citations/ADA517365
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517365
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| 17 |
Crosslingual Audio Information Retrieval Development
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In: DTIC (2009)
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| 18 |
Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
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In: DTIC (2009)
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| 20 |
From Cognition To Language: The Modeling Field Theory Approach
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In: DTIC (2006)
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