Clark Model Research Articles

Associations between tripartite dimensions of internalizing symptoms and transition readiness in a sample of emerging adults with and without chronic physical health conditions.

Theoretical models note psychosocial functioning as a key influence on transition readiness skills (TRS) among emerging adults (EA), but little is known about the relative importance of unique vs. shared anxiety and depressive dimensions, operationalized according to Clark and Watson's (1991) tripartite model, in contributing to TRS. Moreover, although development of TRS is important for all EA, few studies have examined whether the strength of relationships between internalizing symptoms and TRS vary between EA with and without chronic physical health conditions (CHC). Given the links between suboptimal TRS and adverse health outcomes, additional research is needed. This study examined individual and additive associations between three internalizing symptom dimensions (anxious arousal, anhedonic depression, and general distress) and TRS, as well as the moderating role of CHC status. One hundred twenty-six EA completed an online survey measuring TRS and internalizing symptoms. The sample was 70.6% women, 39.7% of minoritized racial identity, and 21.2% Hispanic ethnicity. The mean participant age was 21.23 years. In two of three regression models, anhedonic depression alone was significantly related to TRS. CHC moderated the relationship between internalizing and TRS in only two of nine models. In both cases, internalizing symptoms were negatively associated with TRS for those without CHCs, but not for those with CHCs. Assessment of anhedonic depression may be particularly useful in identifying youth at risk for suboptimal TRS regardless of CHC status. Moreover, interventions such as behavioral activation to improve TRS skill attainment warrant additional investigation.

Effect of Yb3+ on the thermophysical and mechanical properties of gadolinium zirconate ceramics: First-principles calculations and experimental study

Thermal barrier coating materials require high phase stability, low thermal conductivity, and a thermal expansion coefficient that matches the bonding layer. Cation doping is a highly efficient method for enhancing the thermophysical and mechanical characteristics of materials used in thermal barrier coatings. The thermophysical and mechanical properties, as well as the phase stability at high temperatures of ceramic materials doped with Yb3+ in gadolinium zirconate, are examined by utilizing first principles calculations and solid-state reaction methods. As the Yb3+ content increases, the grain average particle size of gadolinium zirconate ceramics first decreases and then increases. Given that a smaller grain size results in more grain boundaries, thereby reducing the thermal conductivity of the material, it can be inferred that Yb0.20 ((Gd0.8Yb0.2)2Zr2O7) with the smallest grain size exhibits lower thermal conductivity. As the Yb3+ content increases, both the calculated and experiment results suggest the Young’s modulus of gadolinium zirconate initially declines to its minimum value when the Yb3+ content is 0.5 and subsequently experiences a little increase. Furthermore, as the concentration of Yb3+ increases, the material initially experiences a drop in both hardness and fracture toughness, followed by a subsequent increase. Both the calculation and experimental results indicate that the thermal conductivity of gadolinium zirconate initially decreases and then increases. Among the different compositions, Gd1.5Yb0.5Zr2O7 demonstrates the minimum thermal conductivity, measuring 1.029 W/(m⸱K) according to the Clark model and 1.152 W/(m⸱K) according to the Cahill model. At a temperature of 1273 K, the experimental results demonstrated that (Gd0.8Yb0.2)2Zr2O7 has the lowest thermal conductivity of 1.415 W/(m·K). Furthermore, both the calculated and experimental thermal expansion coefficients of the material decrease first until the Yb3+ concentration is 0.5 and then increase slightly when the Yb3+ content increases. Moreover, gadolinium zirconate ceramics have demonstrated a consistent single-phase fluorite structure, excellent stability at high temperatures, and remarkable structural integrity during repeated heating and cooling cycles. The calculation results exhibit strong congruence with the experimental data. The objective of this work is to improve the thermophysical and mechanical properties of gadolinium zirconate ceramics for their application as materials for thermal barrier coatings.

Thermophysical properties of Yb3+-doped nonstoichiometric gadolinium zirconate ceramics

Low thermal conductivities and high thermal expansion coefficients are desirable for rare-earth zirconate thermal barrier coating materials. Introduction of cation doping and adjustment of the nonstoichiometry are efficient methods for enhancing the thermophysical characteristics of materials. Herein, the thermophysical properties of Yb3+-doped nonstoichiometric gadolinium zirconate ceramic materials were investigated using first-principles calculations and solid-state reaction techniques. As the Yb3+ content increases, additional cations enter the interstitial spaces (for excess Gd3+ gadolinium zirconate) and form vacancy defects (for excess Zr4+ gadolinium zirconate), which serve as phonon scattering centres to decrease the thermal conductivity. When Yb3+ is doped at the same concentration, gadolinium zirconate with excess Zr4+ exhibits a lower thermal conductivity. Specifically, Gd1.875Yb0.25Zr2.125O7 shows the lowest minimum thermal conductivity of 1.133 W/(m⸱K) (according to the Clark model) and 1.241 W/(m⸱K) (according to the Cahill model). In addition, the experimental results also suggest that the optimal content of Yb3+ is 0.25 excess Zr4+ gadolinium zirconate, which has the lowest intrinsic thermal conductivity of 1.037 W/(m⸱K) at 1300 K. Moreover, the thermal expansion coefficient of the Yb3+-doped excess Gd3+ nonstoichiometric material is greater than that of the doped excess Zr4+ material, this is due to the greater electronegativity difference between Yb3+ and Zr4+ than that between Yb3+ and Gd3+ and the lower binding energy of Gd-O than that of Zr-O. The experimental results and the calculated results are in good agreement. The aim of this work is to enhance the thermophysical characteristics of gadolinium zirconate ceramics for use as thermal barrier coating materials.

Evaluation of subgrid-scale models in decaying rotating stratified turbulence

The results of large eddy simulation (LES) using four sub-grid scale (SGS) models, namely: constant coefficient Smagorinsky (CS), dynamic Smagorinsky (DS), a dynamic Clark (DC) model, and dynamic Lund-Novikov II-term model (DLN2M) for rotating stratified turbulence in the absence of forcing using large-scale isotropic initial conditions, are reported here. Three cases with varying ratios of Brunt-Väisälä frequency to the inertial wave frequency, N / f , have been chosen to evaluate the performance of SGS models. The Reynolds number and N / f are chosen as (a) Case 1: Re=3704, N / f = 5 , (b) Case 2: Re=6667, N / f = 40 and (c) Case 3: Re=6667, N / f = 138 . Various quantities including turbulent kinetic energy (tke), turbulent potential energy (tpe), total dissipation, potential and total energy spectra, and their fluxes, are analyzed. It is observed that the increase in the value of N / f leads to increased oscillations in the evolution of kinetic and potential energy. Our results suggest that the inclusion of the rotation rate tensor in SGS modeling leads to overall improvements in energy evolution predictions. The CS model produces the largest errors, while the DS and the DC models are more comparable to each other. Spectral analysis of total energy and their fluxes shows that the CS, DS and DC models can reasonably predict the large-scale motion ( κ < 10 ), while the DLN2M model improves the energy prediction in the wavenumber range ( 10 < κ < 64 ) in comparison to other SGS models.

Academic Adjustment of Freshmen in Cambodian Higher Education Institutions: A Systematic Literature Review

First-year students face experiences in the primary adjustment stages with their transition to pre-university enrollment, and the experiences are typically highlighted as challenges that will be concentrated significantly in this systematic literature review. This systematic literature review critically synthesizes 20 published articles from 2014 to 2023 on the academic adjustment of first-year students in Cambodian higher education institutions. The qualitative study methods and exploratory design are used, and researchers compiled and evaluated relevant literature focusing on challenges faced by first-year students, factors influencing adjustment, strategies for academic adjustment, and outcomes of adjustment interventions. Data were gathered from reliable databases, and articles meeting predefined criteria were subjected to thematic analysis using Clark and Braunne's Thematic Analysis model. Findings highlight first-year students' challenges, such as academic performance, social identity issues, financial constraints, and language barriers. Factors influencing adjustment include social, personal-emotional, and institutional aspects, underlining the significance of social support and coping strategies. Strategies for academic adjustment focus on effective time management, utilizing support services, and maintaining a healthy work-life balance. Intervention outcomes aim to enhance first-year students' retention rates, mental health, and academic success. Qualitative research emerged as the predominant approach, enabling researchers to understand nuanced experiences and perspectives.

Evolutionary Trends of Polygenic Scores in European Populations From the Paleolithic to Modern Times.

This study examines the temporal and geographical evolution of polygenic scores (PGSs) across cognitive measures (Educational Attainment [EA], Intelligence Quotient [IQ]), Socioeconomic Status (SES), and psychiatric conditions (Autism Spectrum Disorder [ASD], schizophrenia [SCZ]) in various populations. Our findings indicate positive directional selection for EA, IQ, and SES traits over the past 12,000 years. Schizophrenia and autism, while similar, showed different temporal patterns, aligning with theories suggesting they are psychological opposites. We observed a decline in PGS for neuroticism and depression, likely due to their genetic correlations and pleiotropic effects on intelligence. Significant PGS shifts from the Upper Paleolithic to the Neolithic periods suggest lifestyle and cognitive demand changes, particularly during the Neolithic Revolution. The study supports a mild hypothesis of Gregory Clark's model, showing a noticeable rise in genetic propensities for intelligence, academic achievement and professional status across Europe from the Middle Ages to the present. While latitude strongly influenced height, its impact on schizophrenia and autism was smaller and varied. Contrary to the cold winters theory, the study found no significant correlation between latitude and intelligence.

Simulation of gas chromatographic separations and estimation of distribution-centric retention parameters using linear solvation energy relationships

For method development in gas chromatography, suitable computer simulations can be very helpful during the optimization process. For such computer simulations retention parameters are needed, that describe the interaction of the analytes with the stationary phase during the separation process. There are different approaches to describe such an interaction, e.g. thermodynamic models like Blumberg's distribution-centric 3-parameter model (K-centric model) or models using chemical properties like the Linear Solvation Energy Relationships (LSER).In this work LSER models for a Rxi-17Sil MS and a Rxi-5Sil MS GC column are developed for different temperatures. The influences of the temperature to the LSER system coefficients are shown in a range between 40 and 200 °C and can be described with Clark and Glew's ABC model as fit function. A thermodynamic interpretation of the system constants is given and its contribution to enthalpy and entropy is calculated. An estimation method for the retention parameters of the K-centric model via LSER models were presented. The predicted retention parameters for a selection of 172 various compounds, such as FAMEs, PCBs and PAHs are compared to isothermal determined values. 40 measurements of temperature programmed GC separations are compared to computer simulations using the differently determined or estimated K-centric retention parameters. The mean difference (RSME) between the measured and predicted retention time is less than 8 s for both stationary phases using the isothermal retention parameters. With the LSER predicted parameters the difference is 20 s for the Rxi-5Sil MS and 38 s for the Rxi-17Sil MS. Therefore, the presented estimation method can be recommended for first method development in gas chromatography.

Successful removal of fluoride from aqueous environment using Al(OH)3@AC: column studies and breakthrough curve modeling.

In this study, we discuss the removal of fluoride from water through column adsorption methods using Al(OH)3@AC as a functional granular activated carbon. The height of the bed, fluoride concentration, and flow rate are the experimental factors used to obtain the breakthrough curves. As the flow rate increased, the breakthrough and saturation times decreased. The analysis of simplified column models, such as the Adams-Bohart, Thomas, and Yoon-Nelson models, revealed that the Clark model best described the adsorption process when fitting the experimental data. The obtained breakthrough curves agreed with the corresponding experimental data. The highest capacity for adsorption obtained during the column procedure was found to be 41.84 mg g-1 with a bed height of 3 cm, an initial fluoride concentration of 10 mg L-1 and a flow rate of 7.5 mL min-1.

Clay-moringa seedcake composite for removal of cationic and anionic dyes

The present study investigated the potential of a composite prepared from kaolinite clay and moringa seedcake in removing methylene blue (MB) and acid orange-7 (AO-7) dyes from aqueous solutions using batch and column tests. The composite was modified using different chemicals during the synthesis process, and the composites were characterised using different techniques such as FTIR, SEM-EDS and XRD. Characterisation showed the presence of actively charged functional groups and porous structure on the composites prepared. Batch tests were performed to assess the effect of operating conditions such as adsorbent dosage, pH, initial dye concentration and contact time. NaOH-modified and H2SO4/NaOH-modified composites demonstrated the highest adsorption capacities for AO-7 and MB, respectively, and were selected for subsequent studies. The adsorption process of dye was best fitted by the Freundlich isotherm and pseudo-second-order kinetic models suggesting that the sorption of MB and AO-7 onto the composites is a heterogeneous, multilayer chemical adsorption process. Long-term fixed-column tests were conducted with the composites to assess the impact of flow rate, bed depth and initial dye concentration on the dye removal efficiency. Optimum removals of 86 and 94%, respectively at pH 2 and pH 10 were obtained for AO-7 and MB in batch tests, along with adsorption capacities of 205.65 and 230.49 mg/g for AO-7 and MB. Results from the column tests were best explained by the Clark model and the Bed Depth-Service Time model. Competing ions impacted the removal of AO-7, while no significant effect was found for MB. The composites could be reused up to four cycles without significantly affecting the adsorption capacity. The present study thus shows the potential of the composite for removal of both the dyes.

Gum Arabic tree biomass derived activated carbon for fluoride sequestration in batch and fixed bed processes: kinetics, thermodynamics and column adsorption modeling

The biomass obtained from the stem of Gum Arabic tree was used to prepare a thermally activated carbon through pyrolysis at 800 °C. The activated carbon tagged GAAC-800 was used as adsorbent for the fluoride sequestration in a batch and a fixed-bed reactor in a continuous column systems. The surface morphology, elemental composition as well as particle size distribution of the adsorbent was investigated with Scanning Electron Microscopy (SEM), Elemental and Particle Size Analyzers. Also, the influence of initial fluoride concentrations, column packing height and the flow rate on the column efficiency were examine while the efficiency of batch process as a function of contact time and temperature was also investigated. It was found that the kinetic of the process was best fitted with second order model, while the mechanism was best explained by interparticle diffusion model. In addition, the Langmuir Isotherm model showed that the maximum monolayer adsorption capacity of fluoride removal was 71.93 mg/g. The breakthrough curve from the fixed bed adsorption data were well modeled by Adams-Bohart, Yoon-Nelson and Clark model. The models were judged using Akaike Information Criteria (AIC) values after statistical evaluation. GAAC-800 removed fluoride from aqueous solution comparably higher than other adsorbent in its category in batch and continuous column systems.

Social Anxiety in Autistic People: Does the Clark and Wells Model fit?

PurposeCognitive behaviour therapy based on the Clark and Wells (1995) model is a first-line treatment for neurotypical people seeking support for social anxiety. While autistic people frequently report high social anxiety, it is unclear how appropriate the model is for this population.MethodsOver 300 autistic and non-autistic adults completed an online survey measuring key variables of the Clark and Wells model (socially-related negative thoughts, safety behaviours, self-focused attention). Using multiple regression and structural equation modelling, we assessed whether these variables accounted for the link between autism and social fears.ResultsIn multiple regression, autistic people experienced greater social fears than expected based on Clark and Wells variables, and safety behaviours were less predictive of social fears in autistic people. In structural equation modelling, Clark and Wells variables only mediated half the link between autistic traits and social fears. In exploratory analysis, we found that distress relating to uncertainty was an additional variable that needed to be taken into consideration in the relationship between autistic traits and social fears.ConclusionThe Clark and Wells variables were relevant in autism, but did not fully explain elevated social fears in autistic people, which suggests that other factors are also important in accounting for social anxiety in autistic people. This means that therapy informed by the model may not be optimal for autistic people. We recommend further research developing adapted therapy for social anxiety in autistic people.

Changes in cognitive processes and coping strategies precede changes in symptoms during cognitive therapy for posttraumatic stress disorder

Theories of posttraumatic stress disorder (PTSD) highlight the role of cognitive and behavioral factors in its development, maintenance, and treatment. This study investigated the relationship between changes in factors specified in Ehlers and Clark's (2000) model of PTSD and PTSD symptom change in 217 patients with PTSD who were treated with cognitive therapy for PTSD (CT-PTSD) in routine clinical care. Bivariate latent change score models (LCSM) of session-by-session changes in self-report measures showed that changes in PTSD symptoms were preceded by changes in negative appraisals, flashback characteristics of unwanted memories, safety behaviours, and unhelpful responses to intrusions, but not vice versa. For changes in trauma memory disorganization and PTSD symptoms we found a bidirectional association. This study provides evidence that cognitive and behavioral processes proposed in theoretical models of PTSD play a key role in driving symptom improvement during CT-PTSD.

Impact of Cooperation Towards Quality Improvement of Expertise Competency

The aims of the study were (1) to analyze the improvement of the quality of skills competency at SMK Muhammadiyah 1 Surakarta with Astra Honda Motor, (2) to analyze the impact of the collaboration, (3) to analyze the factors that influence the quality of work. This research uses a qualitative descriptive approach based on case studies. The process of analyzing the data from the interviews was carried out using the thematic approach to the analysis of the Braun and Clark model. The results of the study (1) there is an increase in the quality of skill competencies, (2) the impact of cooperation between SMK and the Industry, (3) factors that influence cooperation in improving the quality of skill competencies. The research results indicated on; school policies regarding the implementation of industrial class, the suitability of the school curriculum with the needs of the world of work, recruiting new industrial class students, the readiness of school infrastructure, the industrial class learning process. teaching factories, implementing industrial work practices, the competencies and skills of industrial class students, the impacts and benefits and the quality of industrial class. The results of this study analyze the various challenges which result in the formation of Honda-assisted industrial classes, best practices and provide insights that are used as a reference in improving the quality of competency skills in Vocational High Schools, to develop policies for the advancement of vocational education.

Bayesian Computational Technique for Modeling Caffeine Adsorption in a Fixed-Bed Column: Use of the Maximum Adsorption Capacity Deterministically and Experimental Design

This work applied a Bayesian computational technique for parameter estimation of adsorption breakthrough curve models with experimental data of caffeine (CAF) adsorption onto granular activated carbon (GAC). Different operational conditions were evaluated (volumetric flow: Q, adsorbent mass: W, and initial CAF concentration: C0) by a two-level factorial experimental design (23) to determine the best operational conditions. The models (Thomas, Yoon–Nelson, Yan, Clark, Gompertz, and Log-Gompertz) were fitted to the experimental data, estimating and not estimating the maximum adsorption capacity (qS). For model selection, five statistical metrics were calculated. The results showed that the proposed Bayesian technique, not estimating qS, was effective and all analyzed operational conditions obtained 95% of CAF removal. In the best condition, when qS reached 7.317 mgCAF/gGAC, the model that best adjusted the experimental data was Log-Gompertz, being suitable for practical approaches, and for its mechanisms, the Clark model best predicted the evaluated fixed-bed column.

Green approach for fabrication of sand-bimetallic (Fe/Pb) nanocomposite as reactive material for remediation of contaminated groundwater using permeable reactive barrier

In this study, the quartz sand (QS) was supported by the nanoparticles (Fe/Pb) that were made using an in-situ green synthesis technique using pomegranate peel extract to produce a QS-Fe/Pb nanocomposite, it was utilized as a reactive material in permeable reactive barrier (PRB) for remediating the contaminated groundwater with ciprofloxacin(CIP) & copper(Cu(II)) in batch and continuous modes. The characterization of the nanocomposite was determined using many tests, including XRD, FTIR, SEM, EDX, TEM, and surface area. Several parameters influencing the removal process in batch and continuous modes were studied to obtain the best conditions that achieve the highest removal percent (99%) and to evaluate the activity of the nanocomposite as a reactive bed. Two isotherm models (Freundlich and Langmuir), three kinetic models (intraparticle diffusion, second-order, and pseudo-first), and five breakthrough curve models (Thomas-BDST, Bohart–Adams, Belter-Cussler-Hu Model, Yan, and Clark) were utilized. The results indicated that Freundlich and the pseudo-second-order models show a better fit for the batch experimental data with adsorption capacity of 15 and 9.8 mg/g for CIP & Cu(II), respectively, while Clark model was the most representative of the continuous experimental data. This study proved that the prepared nanocomposite could be a successful reactive material in PRB.

Sustainable functionalized smectitic clay-based nano hydrated zirconium oxides for enhanced levofloxacin sorption from aqueous medium

In this study, the functionalized smectitic clay (SC)-based nanoscale hydrated zirconium oxide (ZrO-SC) was successfully synthesized and utilized for the adsorptive removal of levofloxacin (LVN) from an aqueous medium. The synthesized ZrO-SC and its precursors (SC and hydrated zirconium oxide (ZrO(OH)2)) were extensively characterized using various analytical methods to get insight into their physicochemical properties. The results of stability investigation confirmed that ZrO-SC composite is chemically stable in strongly acidic medium. The surface measurements revealed that ZrO impregnation to SC resulted in an increased surface area (six-fold higher than SC). The maximum sorption capacity of ZrO-SC for LVN was 356.98 and 68.87 mg g−1 during batch and continuous flow mode studies, respectively. The mechanistic studies of LVN sorption onto ZrO-SC revealed that various sorption mechanisms, such as interlayer complexation, π-π interaction, electrostatic interaction, and surface complexation were involved. The kinetic studies of ZrO-SC in the continuous-flow mode indicated the better applicability of Thomas model. However, the good fitting of Clark model suggested the multi-layer sorption of LVN. The cost estimation of the studied sorbents was also assessed. The obtained results indicate that ZrO-SC is capable of removing LVN and other emergent pollutants from water at a reasonable cost.

Downer cows: a reanalysis of an old data set

ABSTRACT Aims To compare the performance of two predictive models for the survival of downer cows. Methods The first model had been developed in 1987 using a dataset containing missing values, while the second, new model was developed on the same dataset but using modern data imputation and analytical methods. Missing data were imputed using multiple imputation by chained equations and a logistic regression model fitted to the imputed data, with survival or not as the outcome variable. The predictive ability of the model built on the imputed data was contrasted with the original prognostic model by testing them both on a second smaller but complete data set, collected contemporaneously with the development of the original model but from a different region of New Zealand. Sensitivity, specificity, accuracy, and cut point for the two models were calculated. Results The original 1987 model had a slightly higher accuracy than that of the new one with a sensitivity of 0.85 (95% CI = 0.72–0.94) and a specificity of 0.82 (95% CI = 0.7–0.91), using a cut point for the probability of survival = 0.313. Conclusions The original prognostic formula published by Clark et al. in 1987 performed as well as a modern model built on an imputed data set. Clinical relevance The use of a prognostic test based on the Clark model should remain an important part of the clinical examination of downer cows by New Zealand veterinarians. Abbreviations: AUC: Area under the curve; AST: Aspartate transaminase activity; CK: Creatine phosphokinase activity; GAM: Generalised additive model; NSAID: Non-steroidal-anti-inflammatory drugs; PCV: Packed cell volume

Direct runoff hydrograph model’s collation for a Pakistan’s region

Rainfall-Runoff modeling is among the classical applications of hydrology. This paper examines the results of 3 hydrologic approaches, particularly Clark Model, Nash Model, and Geomorphic Instantaneous Unit Hydrograph Model. Assumptions are forwarded for the long run use of the Rawalpindi Division, Pakistan’s Small Dam Organization. The catchment of Shahpur Dam was an area under consideration for the study. The Digital elevation model (DEM) was implicated to measure the Nash and Clark model’s geomorphic parameters. Using ArcGIS, catchment satellite imagery was processed to estimate geomorphological parameters. The models have been applied to multiple storm cases. Geographic Instantaneous Unit Hydrograph (GIUH) model gave direct surface runoff hydrograph, whereas, on measured precipitation excess rainfall hyetograph was obtained. Four types of statistical parameters, namely efficiency of the model (EFF), percentage defect in time to attain peak (PETP), percent defect in attained peak Q (PEP), percentage defect in runoff rate (PEV) are used to check model’s efficiency. The comparison is done between the findings of Clark and Nash GIUH models and the original Clark and Nash models. It was observed that GIUH models are equally good even when optimization is done for Clark and Nash model’s parameters. Since the results obtained from these models are more credible, so, these models can be used in ungauged catchments to estimate the hydrographs.

TSSB’de Bilişsel Davranışçı Terapi: Olgu Sunumu

Posttraumatic Stress Disorder (PTSD) is a severe stress response that can have a long-term impact on an individual's functionality after experiencing traumatic events such as accidents, natural disasters, or physical or sexual violence. The PTSD treatment model developed by Ehlers and Clark, which is one of the CBT protocols used in trauma therapy, suggests that the negative evaluation of the trauma and/or its aftermath by the individual, the differences in the nature of memory related to the event, and the coping strategies used by the person also play a role in the formation and continuation of trauma. This article discusses a CBT process using Ehlers and Clark's model in a young 18-year-old with PTSD. During the process, the re-experiencing was reduced, the negative evaluations of trauma and its consequences were addressed, and the dysfunctional coping strategies were modified. After 12 sessions, the client no longer met the PTSD diagnostic criteria, their complaints were resolved, and there was a significant improvement in their functionality. Keywords: post-traumatic stress disorder, cognitive behavioral therapy; PTSD

THE THERAPEUTIC POTENTIAL OF GUIDED IMAGERY AND MUSIC FOR PARENTS WITHIN A PEDIATRIC PALLIATIVE CARE SETTING

Parents caring for a child with a chronic life-limiting illness experience a wide range of therapeutic needs. This manuscript investigates the potential of Guided Imagery and Music (GIM) as a multidimensional therapeutic approach for parents with children in pediatric palliative care. Drawing upon Goldberg's (2004) holographic field theory model, Clark's (2014) synthesis model of GIM, and Bonde's (2000) three levels of metaphor, this paper explores the multifaceted and multilayered nature of GIM grounded in the author’s clinical practice and includes a composite case description of parents within a pediatric palliative care program. GIM’s capacity to hold and facilitate expression of complex emotions on multiple levels of consciousness before and during bereavement can connect parents with their inner wisdom during this challenging time.