This paper presents and evaluates an algorithm to translate a dependency treebank into a Combinatory Categorial Grammar (CCG) lexicon. The dependency relations between a head and a child in a dependency tree are exploited to determine how CCG categories should be derived by making a functional distinction between adjunct and argument relations. Derivations for an English (CoNLL08 shared task treebank) and for an Italian (Turin University Treebank) dependency treebank are performed, each requiring a number of preprocessing steps. In order to determine the adequacy of the lexicons, dubbed DepEngCCG and DepItCCG, they are compared via two methods to preexisting CCG lexicons derived from similar or equivalent sources (CCGbank and TutCCG). First, a number of metrics are used to compare the state of the lexicon, including category complexity and category growth. Second, to measures the potential applicability of the lexicons in NLP tasks, the derived English CCG lexicon and CCGbank are compared in a sentiment analysis task. While the numeric measurements show promising results for the quality of the lexicons, the sentiment analysis task fails to generate a usable comparison. / text

This dissertation answers the question what is and what is not ellipsis and specifies criteria for identification of elliptical sentences. It reports on an analysis of types of ellipsis from the point of view of semantic (semantico-syntactic) representation of sentences. It does not deal with conditions and causes of the constitution of elliptical positions in sentences (when and why is it possible to omit something in a sentence) but it focuses exclusively on the identification of elliptical positions (if there is something omitted and what) and on their semantic representation, specifically on their representation on the tectogrammatical level of the Prague Dependency Treebanks. In this dissertation, the dependency approach (used in the Prague Dependency Treebanks) is also compared with the generative approach (used in the Penn Treebank). It is possible to utilize this comparison in the (automatic) conversion from constituency trees to dependency trees.

Both interpersonal dependency and the importance of the therapeutic alliance to successful psychotherapy outcomes have been widely studied. However, these two areas of study rarely have been viewed conjointly despite the reportedly large number of clients with dependency who present for treatment. This study elucidated the relationship between interpersonal dependency and the therapeutic alliance. Additional hypotheses explored client-therapist agreement on alliance strength in relation to client interpersonal dependency. Participants were graduate student therapists (N = 26) and their individual psychotherapy clients (N = 40) in a training clinic at a large, southwestern university. Within their first three sessions of psychotherapy, participating clients told nine Thematic Apperception Test stories and completed structured self-report measures of adult attachment, social desirability, and psychological symptoms. Interpersonal dependency was scored from the TAT stories, using the TAT Oral Dependency (TOD) scoring system developed by Masling, Rabie, and Blondheim (1967) and Huprich (2008). Three sessions following initial data collection, participating clients and their therapists completed structured self-report measures of the therapeutic alliance. Analyses revealed that interpersonal dependency was not significantly associated with client and therapist alliance ratings or the congruence between client and therapist alliance ratings. However, specific scoring categories of the TOD were associated with client alliance scores in opposing directions. In contrast to hypotheses, self-reported attachment-related dependency was significantly related to client alliance ratings and to the congruence between therapist and client alliance ratings. Clients with higher levels of self-reported attachment-related dependency rated the alliance less favorably, in agreement with their therapists, than did clients with lower levels of attachment-related dependency. Additional analyses were unsuccessful in replicating findings from previous research on interpersonal dependency. The clinical and research implications of these findings are discussed.

The purpose of this exploratory study was to investigate the differences between dependent personality characteristics and clinical symptomology as measured by the MCMI-II, in three major psychiatric syndromes in inpatient and outpatient treatment settings. Results show differences in profile in all groups. Treatment setting differences show higher scores on alcohol and drug dependence and major depression for inpatients. The affective group exhibited higher scores on dependent personality, dysthymic and major depression, confirming previous research on depressive disorders and dependent personality.

In this paper, we discuss the deficiencies of normal form definitions based on Functional Dependency and introduce a new normal form concept based on Functional Independency. Functional Independency has not been systematically investigated while there is a very strong theoretical foundation for the study of Functional Dependency in relational database normalization. This paper will demonstrate that considering Functional Dependency alone cannot eliminate some common data anomalies and the normalization process can yield better database designs with the addition of Functional Independency.

Opioid abuse costs affect the majority of the adult population in our society directly or indirectly. The current prevailing medical treatment for opioid addiction is methadone maintenance treatment (MMT). MMT reduces infectious disease spread, illicit drug use, criminal activity, and overdose potential. MMT is only as effective as the length of time a client remains active and compliant with the program. In previous studies, therapeutic alliance (TA) has been shown to positively influence the effectiveness of substance abuse treatment. However, a gap exists in research in regards to the impact of TA on the effectiveness of MMT outcomes. The theoretical framework of this study is based on therapeutic alliance, which guided an examination on whether therapeutic alliance (as measured by the Session Rating Scale) influenced MMT retention and compliance (drug screens and session attendance). Archival data from 264 clients receiving MMT for opioid dependence were reviewed from a nonprofit community-based agency in Arizona. Logistic regression results revealed that TA did not significantly affect retention or compliance. However, issues were noted such as how the SRS was administered, a lack of understanding by clients regarding scoring the SRS, and unique social desirability demands when clients are in MMT. The finding that TA alone did not significantly affect retention and compliance does not decrease the need to find effective means to improve MMT outcomes. Rather, the findings suggest a critical need to identify and utilize measures more appropriate for clients receiving MMT. In doing so, positive social change may be achieved by assisting clinical staff in developing a strong therapeutic alliance with MMT clients as they focus on problem solving as a joint venture when challenges in the recovery process arise.

No description available.

The rise in cases of child abuse and neglect over the past two decades has overwhelmed the nation’s dependency court and child welfare agencies. While multiple factors are associated with child abuse and neglect, it is indisputable that substance abuse plays a significant role. The families that come into the dependency system with substance abuse issues are substantially more difficult and challenging to serve. Consequently, the families experience low levels of reunification and high levels of child welfare recidivism. In response to the increase in dependency cases involving substance abuse and the inability of the traditional dependency courts (TDC) to handle these cases, Family Dependency Drug Courts (FDDC) were created. The study utilized Therapeutic Jurisprudence Theory to examine differences in child welfare outcomes between substance abusing individuals served in a traditional dependency court system versus the therapeutic jurisprudence driven Family Dependency Drug Court system. Logistic regression, ANOVA and Chi-square were performed on a non-random sample derived from court systems in two Central Florida counties to examine two child welfare outcomes, specifically reunification rates and child welfare recidivism. The findings indicate that substance using participants in the FDDC have much higher rates of reunification than comparable substance using participants processed through the traditional dependency court. Also, of the individuals who attended FDDC, iv those who graduated were reunified at a significantly higher rate than those that didn’t graduate. In regards to child welfare recidivism within a one year time period, there was not a statistically significant difference when comparing the FDDC participants and the TDC participants. When comparing the FDDC participants who completed the program versus those that failed to complete the program, while the child welfare recidivism rates were not significantly different, there is some evidence that the participants that completed the FDDC program experience less child welfare recidivism than those that don’t have the full experience of therapeutic jurisprudence. This research lends some support for both the FDDC program and the explanatory power of Therapeutic Jurisprudence Theory. Theoretical and policy implications, as well as further research, are proposed and discussed

<p>Diss. (sammanfattning) Umeå : Umeå universitet, 2002</p> / digitalisering@umu

This research addresses the fluctuating demand and high variability in healthcare systems. These system’s variations need to be considered whilst at the same time making efficient use of the systems’ resources. Patient dependency fluctuation, which makes determining the level of adequate staffing highly complex, is among the variations addressed. Dealing with variability is found to be a key feature in the design, planning and evaluation of healthcare systems. Healthcare providers are facing increasing challenges resulting from an aging population, higher patient expectancies, a shortage of healthcare professionals, as well as increasing costs and reduced funding. Despite the accentuated need for effective healthcare systems and efficient use of resources, many healthcare organisations are inadequately designed and, moreover, poorly managed. Hospital systems consist of complex interrelations between relatively small units, each of which is sensitive to stochastic variations in demand. In addition to this aspect of the system view, a critical resource for the patients’ wellbeing and survival is the staffing level of nurses. This puts the planning and scheduling of human resources as one of the system’s foremost aims. Current tools for staffing and personnel planning in healthcare organisations do not take into consideration the workload variations that result from the variable nature of patient dependency levels. The work presents the empirical findings of a number of case studies conducted at a regional hospital in Sweden. Principles and practical suggestions for the robust system design of inpatient wards using Discrete Event Simulation (DES) have been identified. Although DES techniques have, in principle, all the features for modelling the variation and stochastic nature of systems, DES has not been previously used for workload studies of inpatient wards. The main contribution of this work is therefore how a combination of DES and the data of Patient Classification Systems (PCSs) can be used to model workload variations and, subsequently, plan the nurse staffing requirements in systems with high variability. The work presented gives step by step guidance in how the analysis and subsequent modelling of an inpatient ward should be carried out. It defines a novel modelling methodology for patient dependency variations and length of stay modelling of a patient’s dependency progression, including an adaptation to the ward’s discharge figures. The modelling approach opens a novel way of analysing and evaluating the system design of inpatient wards.