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Journal articles on the topic 'PROFILE ASSESSMENT'

Author: Grafiati

Published: 11 September 2023

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1

Bliss, Lynn S., Allyssa Mccabe, and A. Elisabeth Miranda. "Narrative assessment profile." Journal of Communication Disorders 31, no. 4 (July 1998): 347–63. http://dx.doi.org/10.1016/s0021-9924(98)00009-4.

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2

Cook, Jonathan R., Estee M. Hausman, Amanda Jensen-Doss, and Kristin M. Hawley. "Assessment Practices of Child Clinicians." Assessment 24, no. 2 (July 28, 2016): 210–21. http://dx.doi.org/10.1177/1073191115604353.

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Assessment is an integral component of treatment. However, prior surveys indicate clinicians may not use standardized assessment strategies. We surveyed 1,510 clinicians and used multivariate analysis of variance to explore group differences in specific measure use. Clinicians used unstandardized measures more frequently than standardized measures, although psychologists used standardized measures more frequently than nonpsychologists. We also used latent profile analysis to classify clinicians based on their overall approach to assessment and examined associations between clinician-level variables and assessment class or profile membership. A four-profile model best fit the data. The largest profile consisted of clinicians who primarily used unstandardized assessments (76.7%), followed by broad-spectrum assessors who regularly use both standardized and unstandardized assessment (11.9%), and two smaller profiles of minimal (6.0%) and selective assessors (5.5%). Compared with broad-spectrum assessors, unstandardized and minimal assessors were less likely to report having adequate standardized measures training. Implications for clinical practice and training are discussed.

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3

Kelly, Karen M., Ellin B. Siegel, and Rose M. Allinder. "Personal Profile Assessment Summary." Intervention in School and Clinic 36, no. 4 (March 2001): 202–10. http://dx.doi.org/10.1177/105345120103600402.

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4

Reynolds, C. R., A. E. Puente, and C. N. Galizio. "Chemical dependency assessment profile." Archives of Clinical Neuropsychology 4, no. 3 (January 1, 1989): 297–98. http://dx.doi.org/10.1093/arclin/4.3.297.

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5

Wijnia, Lisette, and Martine Baars. "The role of motivational profiles in learning problem-solving and self-assessment skills with video modeling examples." Instructional Science 49, no. 1 (February 2021): 67–107. http://dx.doi.org/10.1007/s11251-020-09531-4.

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AbstractIn the current study, we examine the role of situation-specific motivational profiles in the effectiveness of video modeling examples for learning problem-solving and self-assessment accuracy in the domain of biology. A sample of 342 secondary school students participated in our study. Latent profile analysis resulted in four motivational profiles: (a) good-quality profile (high autonomous motivation, moderate introjected and external motivation), (b) moderately positive profile (moderate motivation levels with relatively higher autonomous motivation), (c) moderately negative profile (moderate motivation levels with relatively higher external motivation), and (d) poor-quality profile (moderate external, low autonomous motivation). Findings showed students with good-quality or moderately positive profiles learned more from the video modeling in terms of problem-solving and self-assessment accuracy than students with poor-quality or moderately negative profiles. Furthermore, students with a moderately negative profile outperformed students with a poor-quality profile on problem-solving and self-assessment accuracy. Results further indicated that students with good-quality and moderately positive profiles experienced studying the video modeling examples as less effortful than students with poor-quality or moderately negative profiles. Overall, our results demonstrated that knowing about students’ motivational profiles could help explain differences in how well students learn problem-solving as well as self-assessment skills from watching video modeling examples.

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6

Standing, Lionel, and Gregory Keays. "COMPUTER ASSESSMENT OF PERSONALITY: A DEMONSTRATION OF GULLIBILITY." Social Behavior and Personality: an international journal 14, no. 2 (January 1, 1986): 197–202. http://dx.doi.org/10.2224/sbp.1986.14.2.197.

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Subjects (N= 64) were shown a list of 66 personality traits, and indicated whether or not they possessed each one. Three weeks later, they were shown their trait list, another subject's trait list, a computerized personality profile derived from their traits, or a profile derived from another subject's traits. In each case they rated how well their personality was described by the trait list or profile, on three seven point scales. It was found that the spurious personality descriptions (both traits and profiles) were rated as highly for accuracy as were the genuine descriptions. Interpretive personality profiles were rated no higher than simple lists of trait names. It is argued that these results should be attributed to general gullibility rather than, e.g., the impressiveness of psychological tests.

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7

Pike, Gary R. "Assessment measures: Academic profile II." Assessment Update 3, no. 5 (September 1991): 6–7. http://dx.doi.org/10.1002/au.3650030505.

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8

Minarti, Ipah Budi, Atip Nurwahyunani, and Dewi Purichasari. "Assessment Literacy Profile of Science Teachers in SMAN 1 Gubug." International Journal of Research in Education 3, no. 1 (January 27, 2023): 42–50. http://dx.doi.org/10.26877/ijre.v3i1.13558.

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Assessment is an integrated part of the planning and implementation process of learning. The transition from KTSP to the 2013 curriculum is a problem for teachers in applying assessment skills in learning, because teachers still have difficulty implementing authentic assessments and still use assessments in terms of cognitive tests only (Setiadi, 2016). This study aims to determine the literacy profile of science teacher assessments at SMA Negeri 1 Gubug and the assessment used by science teachers. This is because there is no source of research on teacher awareness of assessment in SMA Negeri 1 Gubug. This research uses descriptive quantitative research method, with purposive sampling. The instruments used in this research are the assessment literacy test, interview guidelines, questionnaires, and check list sheets. Based on the results of data analysis and discussion, it can be concluded that the assessment literacy profile of science teachers at SMA Negeri 1 Gubug is based on PAP Type II is in the "Very Low" category (assessment literacy questionnaire) and "Low" category (interview results). The teacher has the highest score with a score of 86% on the aspect of the difficulty of using the assessment, while the lowest score is on the aspect of attitude assessment by getting a score of 18%. The implication of this study is that by knowing the literacy assessment profile, teachers can understand and implement the importance of assessment so that this can be used as a benchmark in improving the quality of learning.

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9

Almeida-Pedrin, Renata Rodrigues de, Luciane Brigueli Marrone Guimarães, Marcio Rodrigues de Almeida, Renato Rodrigues de Almeida, and Fernando Pedrin Carvalho Ferreira. "Assessment of facial profile changes in patients treated with maxillary premolar extractions." Dental Press Journal of Orthodontics 17, no. 5 (October 2012): 131–37. http://dx.doi.org/10.1590/s2176-94512012000500018.

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OBJECTIVE: Evaluate the facial profile changes of orthodontic treatment with extraction of two upper first premolars, from the perspective of orthodontists, dentists and lay people. METHODS: Facial profiles of radiographs taken before and after treatment of 70 patients with Class II, division 1 malocclusion were traced. The silhouettes of the 70 patients were randomly assembled in an album with, being two profiles on each sheet of the same patient. Then, 30 orthodontists, 30 dentists and 30 lay people chose the more esthetic facial profile (A or B), and the amount of change they perceived between the two profiles before and after treatment, according to a visual analog scale (VAS). RESULTS: The results revealed that 83 examiners preferred the post-treatment profiles, and only three dentists and four lay people chose the profiles pre-treatment more frequently. Thus, the orthodontists often chose the profiles after treatment, followed by dentists, with no statistically significant differences found between dentists and lay people. There were significant differences within groups in the preference of pre- and post-treatment profile. Furthermore, the three groups of evaluators indicated that pre and post-treatment profiles did not differ substantially. CONCLUSIONS: The treatment of Class II, division 1 malocclusion with extraction of two first premolars has a positive effect on facial profile esthetics.

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10

Ye, Xugang, Guoli Wang, and Stephen F. Altschul. "An assessment of substitution scores for protein profile–profile comparison." Bioinformatics 27, no. 24 (October 13, 2011): 3356–63. http://dx.doi.org/10.1093/bioinformatics/btr565.

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11

Leiter, Michael P. "Assessment of Workplace Social Encounters: Social Profiles, Burnout, and Engagement." International Journal of Environmental Research and Public Health 18, no. 7 (March 29, 2021): 3533. http://dx.doi.org/10.3390/ijerph18073533.

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Employed people (N = 826) completed questionnaires including the Social Encounters Scale that assessed civility, incivility, and intimidation from supervisors, coworkers, and respondents on identical frequency scale. Factor analyses, correlations, and profile analysis addressed the first research question by demonstrating the benefits of assessing various dimensions of workplace social dynamics on a common rating scale. A subsample (N = 275 completed a second survey, confirming consistency over time. To address the second research question a Latent Profile Analysis (LPA) identified five social profiles: Civil, Low Contact, Uncivil Coworkers, Uncivil Supervisor, and Uncivil. These profiles were associated with distinct perceptions of the work environment, addressing the third research question. To address the fourth research question, crosstabulation with a profile structure based on the Maslach Burnout Scale demonstrated close links of workplace social culture with psychological connections with work.

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12

Flournoy, Peter S., and Gregory L. Wilson. "Assessment of MMPI Profiles of Male Batterers." Violence and Victims 6, no. 4 (December 1, 1991): 309–20. http://dx.doi.org/10.1891/0886-6708.6.4.309.

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Fifty-six adult male batterers completed the Minnesota Multiphasic Personality Inventory (MMPI) as part of the standard screening and assessment process for a court-mandated aggression management treatment program. Data were analyzed via composite-mean and cluster analyses. MMPI results revealed a 4-2 profile for both the composite-mean analysis and the elevated profile revealed by the cluster analysis. Fifty-two percent of the MMPI profiles exhibited Scale 4 as one of the two scales in the high-point pair. Future research must incorporate multidimensional behavioral and personality assessment in order to enhance specific treatment approaches via matching procedures.

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Korsun, Natalia, and Daria Prostakishina. "Bearing capacity of steel thin-walled profiles in reliability assessment." E3S Web of Conferences 97 (2019): 04049. http://dx.doi.org/10.1051/e3sconf/20199704049.

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The increasing use of light steel thin-walled structures is determined by the efficiency of the production of cold-formed profiles. However, there are problems of calculating the reliability of thin-walled structures. In particular, it is necessary to specify the calculation of the generalized bearing capacity of an element from a thin-walled profile. Such an element is significantly affected by the initial geometric imperfections reducing its bearing capacity. At the same time the element is influenced by an uneven distribution of the mechanical characteristics of the steel over the section of the profile. A thin-walled element of paired sigma profiles with a section height of 300 mm was taken as the object of study. This paper presents the results of the calculation of the effective characteristics of a thin-walled profile operating under axial compression with bending without and with the initial geometric imperfections (additional eccentricity from the element’s initial curvatures). Besides, the paper reveals the results of laboratory studies of the distribution of the mechanical properties of steel over the cross section of a thin-walled profile after using direct and indirect test methods.

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14

Georgieva, Irena. "Periodontal risk profile assessment – a review." Varna Medical Forum 8, no. 2 (September 10, 2019): 131. http://dx.doi.org/10.14748/vmf.v8i2.6039.

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15

Maton, P. N. "Profile and assessment of GERD pharmacotherapy." Cleveland Clinic Journal of Medicine 70, Suppl_5 (November 1, 2003): S51. http://dx.doi.org/10.3949/ccjm.70.suppl_5.s51.

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16

Remmerie, J., W. Vandervorst, and H. E. Maes. "Assessment of profile broadening during sputtering." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 13, no. 1-3 (March 1986): 416–20. http://dx.doi.org/10.1016/0168-583x(86)90539-2.

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17

Soh, Jen, Ming Tak Chew, and Hwee Bee Wong. "Professional assessment of facial profile attractiveness." American Journal of Orthodontics and Dentofacial Orthopedics 128, no. 2 (August 2005): 201–5. http://dx.doi.org/10.1016/j.ajodo.2004.07.041.

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18

Snippe, Herman P. "Parameter Extraction from Population Codes: A Critical Assessment." Neural Computation 8, no. 3 (April 1996): 511–29. http://dx.doi.org/10.1162/neco.1996.8.3.511.

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In perceptual systems, a stimulus parameter can be extracted by determining the center-of-gravity of the response profile of a population of neural sensors. Likewise at the motor end of a neural system, center-of-gravity decoding, also known as vector decoding, generates a movement direction from the neural activation profile. We evaluate these schemes from a statistical perspective, by comparing their statistical variance with the minimum variance possible for an unbiased parameter extraction from the noisy neuronal ensemble activation profile. Center-of-gravity decoding can be statistically optimal. This is the case for regular arrays of sensors with gaussian tuning profiles that have an output described by Poisson statistics, and for arrays of sensors with a sinusoidal tuning profile for the (angular) parameter estimated. However, there are also many cases in which center-of-gravity decoding is highly inefficient. This includes the important case where sensor positions are very irregular. Finally, we study the robustness of center-of-gravity decoding against response nonlinearities at different stages of an information processing hierarchy. We conclude that, in neural systems, instead of representing a parameter explicitly, it is safer to leave the parameter coded implicitly in a neuronal ensemble activation profile.

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19

Ganguly, Rahul, and Harsha N. Perera. "Profiles of Psychological Resilience in College Students With Disabilities." Journal of Psychoeducational Assessment 37, no. 5 (July 11, 2018): 635–51. http://dx.doi.org/10.1177/0734282918783604.

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The present article reports on research conducted to identify profiles of psychological resilience using factor mixture models. We also examine gender as a predictor of resilience profile membership and career optimism, academic satisfaction, and psychological well-being as outcomes of profile membership. Based on resilience data from university students with disabilities, factor mixture modeling revealed three distinct profiles of resilience (viz., “vulnerable,” “spirituality-dominant,” and “engaged-resilient”). Results also revealed that females were almost 4 times as likely to be in the spirituality-dominant profile than the vulnerable profile. Finally, distal outcome analyses revealed that career optimism, academic satisfaction, and well-being were higher in the engaged-resilient profile than the other profiles. Notably, spirituality-dominant and vulnerable individuals possessed about the same levels of career optimism, satisfaction, and well-being. The findings have important implications for the theory and assessment of resilience, suggesting the tenability of a person-centered assessment of psychological resilience.

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20

FLYNN, P., R. HUBBARD, J. LUCKEY, B. FORSYTH, T. SMITH, C. PHILLIPS, D. FOUNTAIN, J. HOFFMAN, and J. KOMANIII. "Individual assessment profile (IAP)Standardizing the assessment of substance abusers." Journal of Substance Abuse Treatment 12, no. 3 (May 1995): 213–21. http://dx.doi.org/10.1016/0740-5472(95)00023-x.

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21

Indumathy, U., M. Nivedha, and Mrs K. Alice. "Anomaly Threat Detection System using User and Role-Based Profile Assessment." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 484–88. http://dx.doi.org/10.31142/ijtsrd10956.

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22

Biswas, Pooshpanjan Roy, Alessandro Beltrami, and Joan Saez Gomez. "A testing paradigm for quantifying ICC profilers." Color and Imaging Conference 2019, no. 1 (October 21, 2019): 80–85. http://dx.doi.org/10.2352/issn.2169-2629.2019.27.15.

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To reproduce colors in one system which differs from another system in terms of the color gamut, it is necessary to use a color gamut mapping process. This color gamut mapping is a method to translate a specific color from a medium (screen, digital camera, scanner, digital file, etc) into another system having a difference in gamut volume. There are different rendering intent options defined by the International Color Consortium [5] to use the different reproduction goals of the user [19]. Any rendering intent used to reproduce colors, includes profile engine decisions to do it, i.e. looking for color accuracy, vivid colors or pleasing reproduction of images. Using the same decisions on different profile engines, the final visual output can look different (more than one Just Noticeable Difference[16]) depending on the profile engine used and the color algorithms that they implement. Profile performance substantially depends on the profiler engine used to create them. Different profilers provide the user with varying levels of liberty to design a profile for their color management needs and preference. The motivation of this study is to rank the performance of various market leading profiler engines on the basis of different metrics designed specifically to report the performance of particular aspects of these profiles. The study helped us take valuable decisions regarding profile performance without any visual assessment to decide on the best profiler engine.

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23

Jang, Jaehong. "Exploring the instructions and evaluation methods for improving creative thinking competency." Korean Society for Creativity Education 22, no. 2 (June 30, 2022): 21–40. http://dx.doi.org/10.36358/jce.2022.22.2.21.

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The purposes of this study were confirmed the student's creative thinking competency profile and the instructions and evaluation methods that affect the profile. LPA was performed using divergent thinking, creative flexibility, curiosity and adventure, and inquiry as index variables, and the degree of individualization, interaction, and students' classroom engagement was used as the instruction method, and process fortified assessment and evaluation feedback were used as evaluation methods. For the analysis, the 6th year of the Korean Education Longitudinal Study 2013 were used. As a result of the study, first, creative thinking competency was classified into three latent profiles. Second, individualization was an influential variable that differentiated the ‘higher competency’ profile. Third, interaction did not affect creative thinking competency profile differentiation. Fourth, students' classroom engagement was the most important variable affecting the differentiation of all profiles. Fifth, process fortified assessment differentiated the ‘general competency’ and ‘higher competency’ profiles. Sixth, evaluation feedback affected the differentiation of all profiles. In order to improve creative thinking competency, it is necessary to create an environment that can foster learners' activeness and initiative attitude for student engagement classes. In addition, it should support process fortified assessment and evaluation feedback that can check the process as well as the result of learning.

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Prichard, Stephanie. "A Profile of High-Stakes Assessment Practices in Music Teacher Education." Journal of Music Teacher Education 27, no. 3 (January 3, 2018): 94–105. http://dx.doi.org/10.1177/1057083717750079.

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The purpose of this study was to identify and describe high-stakes assessment practices in the field of music teacher education. Furthermore, I sought to compare institutional capstone assessment practices with state licensure requirements. Research questions involved the status of high-stakes assessments of general, content, and pedagogical knowledge, as well as high-stakes teacher performance assessments (e.g., edTPA). Participants in this study included faculty representatives ( N = 274) from National Association of Schools of Music–accredited music teacher education programs across all 50 states. The majority of participants indicated that preservice candidates were required to pass a test of general knowledge as a gatekeeper to acceptance into the music teacher licensure program, as well as a variety of other examinations prior to graduation. More than one half of participants reported that their institution required music teacher candidates to complete a teacher performance assessment (e.g., edTPA). Alignment between state and institution requirements was varied.

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25

Borghetti, Brett J., Joseph J. Giametta, and Christina F. Rusnock. "Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach." Human Factors: The Journal of the Human Factors and Ergonomics Society 59, no. 1 (February 2017): 134–46. http://dx.doi.org/10.1177/0018720816672308.

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Objective: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models. Background: Adaptive systems require real-time mental workload assessment to perform dynamic task allocations or operator augmentation as workload issues arise. Neuroergonomic measures have great potential for informing adaptive systems, and we combine these measures with models of task demand as well as information about critical events and performance to clarify the inherent ambiguity of interpretation. Method: We use machine learning algorithms on electroencephalogram (EEG) input to infer operator workload based upon Improved Performance Research Integration Tool workload model estimates. Results: Cross-participant models predict workload of other participants, statistically distinguishing between 62% of the workload changes. Machine learning models trained from Monte Carlo resampled workload profiles can be used in place of deterministic workload profiles for cross-participant modeling without incurring a significant decrease in machine learning model performance, suggesting that stochastic models can be used when limited training data are available. Conclusion: We employed a novel temporary scaffold of simulation-generated workload profile truth data during the model-fitting process. A continuous workload profile serves as the target to train our statistical machine learning models. Once trained, the workload profile scaffolding is removed and the trained model is used directly on neurophysiological data in future operator state assessments. Application: These modeling techniques demonstrate how to use neuroergonomic methods to develop operator state assessments, which can be employed in adaptive systems.

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26

Perju-Dumbrava, Laura, Maria-Lucia Muntean, and Dafin Muresanu. "Cerebrovascular Profile Assessment in Parkinson’s Disease Patients." CNS & Neurological Disorders - Drug Targets 13, no. 4 (July 31, 2014): 712–17. http://dx.doi.org/10.2174/1871527313666140618110409.

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27

Majerník, Milan, Naqib Daneshjo, Peter Malega, Jakub Kóňa, and Barbara Barilová. "Environmental Profile Assessment of Passenger Car Components." Ecological Engineering & Environmental Technology 23, no. 1 (January 1, 2022): 76–87. http://dx.doi.org/10.12912/27197050/143014.

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28

Usherwood, Tim, and David Hannay. "Profile-based assessment of student project reports." Medical Teacher 14, no. 2-3 (January 1992): 189–96. http://dx.doi.org/10.3109/01421599209079486.

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29

Meehan, PA. "Hemodynamic assessment using the automated physiologic profile." Critical Care Nurse 6, no. 1 (January 1, 1986): 29–46. http://dx.doi.org/10.4037/ccn1986.6.1.29.

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30

Urban, Nancie. "Integrating the Hemodynamic Profile with Clinical Assessment." AACN Advanced Critical Care 4, no. 1 (February 1, 1993): 161–79. http://dx.doi.org/10.4037/15597768-1993-1013.

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Hemodynamic profiling has become common practice in critical care units. While the ability to monitor, measure, and calculate the many parameters related to cardiac output is a valuable adjunct in the care of the critically ill, it cannot be used as a substitute for sound clinical assessment. The ability to integrate the hemodynamic profile with clinical assessment is necessary if patients arc to receive comprehensive critical care. In addition, assessment frameworks such as Forrester’s subsets of hemodynamic compromise provide clinically useful guidance in the diagnosis and treatment of a variety of clinical challenges

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URBAN, NANCIE. "Integrating the Hemodynamic Profile with Clinical Assessment." AACN Clinical Issues: Advanced Practice in Acute and Critical Care 4, no. 1 (February 1993): 161–79. http://dx.doi.org/10.1097/00044067-199302000-00013.

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32

McCormack-Brown, Kelli R., Elaine M. Vitello, Robert J. McDermott, and Charles E. Richardson. "Development of the Dental Health Assessment Profile." Journal of School Health 60, no. 9 (November 1990): 455–58. http://dx.doi.org/10.1111/j.1746-1561.1990.tb05976.x.

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33

Kıvrak, Şeyda, and İbrahim Kıvrak. "Assessment of phenolic profile of Turkish honeys." International Journal of Food Properties 20, no. 4 (June 17, 2016): 864–76. http://dx.doi.org/10.1080/10942912.2016.1188307.

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34

LAWRENCE, DAVID P. "PROFILE: Integrating Sustainability and Environmental Impact Assessment." Environmental Management 21, no. 1 (January 1, 1997): 23–42. http://dx.doi.org/10.1007/s002679900003.

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GORDON, DAVID S., PAUL SPICKER, BRIAN R. BALLINGER, BRENDA GILLIES, NANCY McWILLIAM, WILLIAM J. MUTCH, and PHILIP SEED. "A POPULATION NEEDS ASSESSMENT PROFILE FOR DEMENTIA." International Journal of Geriatric Psychiatry 12, no. 6 (June 1997): 642–47. http://dx.doi.org/10.1002/(sici)1099-1166(199706)12:6<642::aid-gps596>3.0.co;2-p.

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36

Anjomrouz, Marzieh, Muhammad Shamshad, Raj K. Panta, Lieza Vanden Broeke, Nanette Schleich, Ali Atharifard, Raja Aamir, et al. "Beam profile assessment in spectral CT scanners." Journal of Applied Clinical Medical Physics 19, no. 2 (February 7, 2018): 287–97. http://dx.doi.org/10.1002/acm2.12260.

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37

Giuliano, Kenneth A., Albert H. Gough, D. Lansing Taylor, Lawrence A. Vernetti, and Patricia A. Johnston. "Early Safety Assessment Using Cellular Systems Biology Yields Insights into Mechanisms of Action." Journal of Biomolecular Screening 15, no. 7 (July 16, 2010): 783–97. http://dx.doi.org/10.1177/1087057110376413.

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The integration of high-content screening (HCS) readers with organ-specific cell models, panels of functional biomarkers, and advanced informatics is a powerful approach to identifying the toxic liabilities of compounds early in the development process and forms the basis of “early safety assessment.” This cellular systems biology (CSB™) approach (CellCiphr® profile) has been used to integrate rodent and human cellular hepatic models with panels of functional biomarkers measured at multiple time points to profile both the potency and specificity of the cellular toxicological response. These profiles also provide initial insights on the mechanism of the toxic response. The authors describe here mechanistic assay profiles designed to further dissect the toxic mechanisms of action and elucidate subtle effects apparent in subpopulations of cells. They measured 8 key mechanisms of toxicity with multiple biomarker feature measurements made simultaneously in populations of living primary hepatocytes and HepG2 cells. Mining the cell population response from these mechanistic profiles revealed the concentration dependence and nature of the heterogeneity of the response, as well as relationships between the functional responses. These more detailed mechanistic profiles define differences in compound activities that are not apparent in the average population response. Because cells and tissues encounter wide ranges of drug doses in space and time, these mechanistic profiles build on the CellCiphr® profile and better reflect the complexity of the response in vivo.

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38

Krier, Leon. "Vincent Van Gogh: A Negative Result from his Modern Suicidal Profile Assessment." International Journal of Forensic Sciences 8, no. 1 (2023): 1–7. http://dx.doi.org/10.23880/ijfsc-16000289.

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Killing Vincent Project (KVP) Team evaluates Vincent van Gogh’s ‘Suicide Profile’ while living in France, namely, Arles, St Remy Asylum, and Auvers-sur-Oise Profile utilizing the C-SSRS (Columbia – Suicide Severity Rating Scale). This evaluation of Van Gogh indicates that there were some risks factors and concerns for suicide in Arles and St Remy Asylum; however, while living in Auvers-sur-Oise, the C-SSRS evaluation reinforces that Van Gogh was living an extremely productive artistic life, doing a painting a day with breakthrough originality. There were no further vertigo attacks; he expressed no suicidal ideation nor gestures or self-injurious behavior. While in Auvers-sur-Oise, Van Gogh had become emotionally settled, found love, and was becoming a recognized breakthrough artist. KVP’s C-SSRS evaluation indicates a ‘negative suicidal profile assessment’ in his last 70 days. Therefore, it is reasonable to conclude: Vincent van Gogh did not commit suicide.

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Moreno, A. Chinchilla, L. Mateo Mateos, M. Martín Larrégola, and A. Diez Saez. "Socio-Demographic Profile of Out-Patient Clinic First Assessment." European Psychiatry 24, S1 (January 2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71176-9.

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Introduction:Ramon y Cajal Hospital is the referencial center for the mental health unit used in this study, whose outpatients are attended by psychiatrist consultants. First assessment is conducted by general practicioners, or other specialists. Once assessed, a decision must be made: to follow-up, carry out psychological therapies, refer to social workers or other resources.Objectives:To investigate socio-demographic and clinical profiles at the psychiatric outpatients unit as a result of an analysis of the first assessment data.Methods:We include 9 variables from 104 first assessments carried out in our center.Results:48,27 is the age range of our sample, with 58,65% female and 50,1 % married. Most referrals are requested by primary care, being only 14,42% by psychiatric ward units and other medical specialities. Anxiety is the primary reason for requiring psychiatric care (36, 54%) and affective disorders (35,58%), followed by psychosomatic events. With respect to diagnosis at first consultation, we found, as expected, that the most frequent disorders are anxiety (37,50 %) and depression (32,69%).71,15% of our patients needed a follow up by us and 8,65 % are discharged after the first assessment. The rest are reffered to other mental health resources.Conclusions:As a result of the analysis we found out that minor pathology is the most common reason for care in our centre, being refered mostly by general practicioners. So psycho educational programmes and continuous training in general medicine could be needed in order to improve mental health and to reduce costs of the mental health system.

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Janošević, Predrag, Mirjana Janošević, Tatjana Perović, Branislava Stojković, and Simona Stojanović. "Assessment of smile esthetics and various types of face profiles." Acta stomatologica Naissi 36, no. 81 (2020): 1957–65. http://dx.doi.org/10.5937/asn2081957j.

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Background: Imperfect smile and face profile is one of the main reasons why patients turn to orthodontists. Aim was to investigate if there is a difference in perception of smile and profile esthetics between the examined groups. Subjects and method: In conducted research, smiles of 21 persons (8 male and 13 female), 18 to 30 years old were evaluated by 15 orthodontists, 15 students of dentistry and 15 laypeople. They were to rate esthetics of every smile from 1 to 9 and choose just one main reason that impairs aesthetics. Orthodontists and laypeople should also evaluate male and female normal, bimaxillary prognathic and bimaxillary retrognathic profiles from 1 to 3. The most beautiful profile should be marked with number 3. Results: Although there was no statistically significant difference in the evaluation of smile esthetics among groups, laypeople gave the lowest evaluation. Apart from irregular position of certain teeth, all investigated groups emphasized different factors that impair smile esthetics. Orthodontists and laypeople marked bimaxillary prognathic male and female profile as less beautiful than the others. Conclusion: Because of the differences in perception of the smile aesthetics between orthodontists and laypeople, it is necessary to create a new diagnostic plan of treatment protocols that includes studies investigating laypeople perception of smile and facial esthetics.

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&NA;. "Profile." Clinical Nurse Specialist 25, no. 1 (January 2011): 47–48. http://dx.doi.org/10.1097/nur.0b013e3182011ef0.

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&NA;. "Profile." Clinical Nurse Specialist 25, no. 2 (March 2011): 96. http://dx.doi.org/10.1097/nur.0b013e31820af006.

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&NA;. "Profile." Clinical Nurse Specialist 25, no. 3 (May 2011): 159–60. http://dx.doi.org/10.1097/nur.0b013e3182157799.

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&NA;. "Profile." Clinical Nurse Specialist 25, no. 4 (July 2011): 207–8. http://dx.doi.org/10.1097/nur.0b013e3182227563.

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&NA;. "Profile." Clinical Nurse Specialist 25, no. 5 (September 2011): 263–66. http://dx.doi.org/10.1097/nur.0b013e3182299650.

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&NA;. "Profile." Clinical Nurse Specialist 25, no. 6 (November 2011): 332–33. http://dx.doi.org/10.1097/nur.0b013e3182392be8.

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&NA;. "Profile." Clinical Nurse Specialist 26, no. 1 (2012): 57–58. http://dx.doi.org/10.1097/nur.0b013e31823f546d.

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&NA;. "Profile." Clinical Nurse Specialist 27, no. 3 (2013): 165–66. http://dx.doi.org/10.1097/nur.0b013e31828c83ee.

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&NA;. "Profile." Clinical Nurse Specialist 27, no. 4 (2013): 211–12. http://dx.doi.org/10.1097/nur.0b013e3182990860.

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&NA;. "Profile." Clinical Nurse Specialist 27, no. 5 (2013): 273–74. http://dx.doi.org/10.1097/nur.0b013e3182a18af5.

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