Placement Model Research Articles

Assessment of a Second-Order Multi-Problem Factor Model Involving Sexual Partners, Marijuana Use, and Post-Arrest Placement Among Persistent Male Adolescent Delinquents

ABSTRACT Problem-behavior theory suggests problem behaviors (e.g. substance use and delinquency) cluster among adolescents. This study explored a second-order problem behavior model of marijuana use, sexual partners, and post-arrest juvenile justice system placement among male adolescents over three waves. Results confirmed a second-order latent factor of problem behaviors, with male adolescents persistently involved in the juvenile justice system experiencing problems with marijuana use, risky sexual behavior, and increased severity of post-arrest placement. Further, older, Hispanic, African American, and urban persistent male delinquents were more likely to demonstrate continued problem behaviors. We discuss implications for future research and practice.

Experiences of online music therapy placements in response to COVID-19 in Melbourne, Australia: Pedagogical considerations for supporting student learning

ABSTRACT Introduction At the beginning of the COVID-19 pandemic, student placements in the Master of Music Therapy at the University of Melbourne were rapidly redesigned to create alternative online opportunities. Two online placement models; a simulated practicum (or SimPrac) and telehealth placement; were arranged. With little previous literature to draw upon, data was gathered to explore student and supervisor experiences of online placements and develop understanding of pedagogical considerations to inform future planning. Methods Quantitative data were collected via an adapted Satisfaction with Simulation Experience Scale (SSES) and qualitative data via open-ended survey questions and semi-structured focus group interviews. Results SSES results indicated high satisfaction from all cohorts with the online placement experience. Qualitative analysis led to the development of four pedagogical considerations for supporting student learning: Respond to Context with Creativity and Flexibility; Scaffold Student Learning; Foster Peer Relationships; and Supplement Online Learning. Discussion Findings aligned with recent scholarship in the wider field of Work Integrated Learning (WIL) and indicate a need for questioning prevailing modes of music therapy placement delivery in line with the contemporary context. While online placements were not always understood to provide authentic music therapy experiences, this perspective may need further contemplation given the ongoing need for online music therapy service provision.

Pass or fail: Teachers’ experience of assessment of postgraduate critical care nursing students’ competence in placement. A qualitative study

BackgroundLearning in placement is essential to postgraduate critical care nursing students’ education. Assessment of students’ competence in placement is important to ensure highly qualified postgraduate critical care nurses. The placement model applied in Norway involves students being assessed by a preceptor in practice and a teacher from the university. The teacher has a more distant role in placement, and the aim of this study was to explore how the teachers experience the assessment of postgraduate critical care nursing students’ competence in placement. Additionally, to explore the content of assessment documents used for postgraduate critical care nursing placement education in Norway.MethodsThis study has a qualitative design with main data collection from individual interviews with 10 teachers from eight universities and colleges in Norway. Additionally, we performed a document analysis of assessment documents from all 10 universities and colleges providing postgraduate critical care nursing education in Norway. We followed the Consolidated Criteria for Reporting Qualitative Research.ResultsThe teachers experienced the assessment of postgraduate critical care nursing students’ competence in placement as important but complex, and some found it difficult to determine what critical care nursing competence is at advanced level. A thematic analysis resulted in one main theme: “Teacher facilitates the bridging between education and practice.” Furthermore, three themes were identified: “Assessment based on trust and shared responsibility”; “The teacher’s dual role as judge and supervisor”; and “A need for common, clear and relevant assessment criteria”.ConclusionsTeachers have a key role in placement as they contribute to the bridging between education and practice by providing valuable pedagogical and academic input to the assessment process. We suggest that more teachers should be employed in joint university and clinical positions to enhance the collaboration between practice and education. Clear and relevant assessment criteria are essential for providing assessment support for both students and educators. Education and practice should collaborate on developing assessment criteria. Further, there is a need to collaborate on developing, both nationally and internationally, common, clear, relevant and user-friendly assessment tools.

Finite element model updating and response prediction of a frame structure based on optimal sensor placement

This paper proposes an approach for finite element (FE) model updating and response prediction of frame structures based on optimal sensor placement (OSP), which integrates sensor placement optimization, mode expansion, and model updating techniques. Firstly, sensor optimization layout and modal testing analysis are conducted on a bolted laboratory frame structure. The covariance-driven stochastic subspace identification (SSI-COV) method identifies the real-world structure’s natural frequencies, modal damping, and mode shapes. Secondly, the complete mode shapes are expanded using the measured incomplete modal data from the limited number of sensors. Thirdly, a multi-objective function based on frequency and mode shapes is established to adjust the parameters of the FE model. This ensures that the updated model accurately represents the dynamic properties of the actual structure within a specific frequency range. Finally, the Rayleigh damping of the frame structure is estimated, and the damping matrix is assembled to enhance the accuracy of dynamic response prediction in the updated model. By comparing the response prediction results of the updated FE model with and without considering the updated damping effects to the measurement data of the real-world structure, it is demonstrated that the proposed method considering updated damping effects can more effectively predict the structural response.

CRAMP: Clustering-based RANs association and MEC placement for delay-sensitive applications

With advancements in networking technology and ubiquitous computing, there has been a significant increase in the number of edge devices and delay-sensitive applications. To facilitate efficient processing, mobile edge computing (MEC) technology provides resources through MEC servers, which are deployed at the radio access networks (RANs) of 5G networks. However, these MEC servers possess a limited amount of resources, making their effective management of these resources a critical challenge. This is due to the uneven distribution of resource utilization, where some resources become overutilized while others remain underutilized. Addressing the issue above while simultaneously satisfying user requirements for delay-sensitive applications poses a significant challenge at the edge. In this paper, we propose a clustering-based efficient RANs association and MEC server placement model to tackle this challenge. Our primary objective is to minimize MEC server deployment costs while ensuring that the delays of these applications are effectively managed. We propose a greedy algorithm called the clustering-based radio access networks association and mobile edge computing placement (CRAMP) algorithm, which determines the optimal location of MEC servers to associate with RANs. Simulation results demonstrate that our proposed algorithm outperforms existing approaches regarding cost efficiency and delay management.

Learning-Assisted Model for Optimal Placement of Protective Devices and Switches in Power Distribution Systems

Learning-Assisted Model for Optimal Placement of Protective Devices and Switches in Power Distribution Systems

Mathematical Models for the Single-Channel and Multi-Channel PMU Allocation Problem and Their Solution Algorithms

Phasor measurement units (PMUs) are deployed at power grid nodes around the transmission grid, determining precise power system monitoring conditions. In real life, it is not realistic to place a PMU at every power grid node; thus, the lowest PMU number is optimally selected for the full observation of the entire network. In this study, the PMU placement model is reconsidered, taking into account single- and multi-capacity placement models rather than the well-studied PMU placement model with an unrestricted number of channels. A restricted number of channels per monitoring device is used, instead of supposing that a PMU is able to observe all incident buses through the transmission connectivity lines. The optimization models are declared closely to the power dominating set and minimum edge cover problem in graph theory. These discrete optimization problems are directly related with the minimum set covering problem. Initially, the allocation model is declared as a constrained mixed-integer linear program implemented by mathematical and stochastic algorithms. Then, the 0/1 integer linear problem is reformulated into a non-convex constraint program to find optimality. The mathematical models are solved either in binary form or in the continuous domain using specialized optimization libraries, and are all implemented in YALMIP software in conjunction with MATLAB. Mixed-integer linear solvers, nonlinear programming solvers, and heuristic algorithms are utilized in the aforementioned software packages to locate the global solution for each instance solved in this application, which considers the transformation of the existing power grids to smart grids.

Towards definitive categories for online video game money laundering

PurposeThis paper aims to investigate how best to classify money laundering through online video games (i.e. virtual laundering). Currently, there is no taxonomy available for scholars and practitioners to refer to when discussing money laundering through online video games. Without a well-defined taxonomy it becomes difficult to reason through, formulate and implement effective regulatory measures, policies and security controls. As such, efforts to prevent and reduce virtual laundering incidence rates are hampered.Design/methodology/approachThis paper proposes three mutually exclusive virtual laundering categorizations. However, instead of fixating on the processes undergirding individual instances of virtual laundering, it is argued that focusing on the initial locale of the illicit proceeds provides the appropriate framing within which to classify instances of virtual laundering. Thus, the act of classification becomes an ontological endeavour, rather than an attempt at elucidating an inherently varied process (as is common of the placement, layering and integration model).FindingsA taxonomy is proposed that details three core virtual laundering processes. It is demonstrated how different virtual laundering categories have varied levels of associated risk, and thus, demand unique interventions.Originality/valueTo the best of the authors’ knowledge, this is the first taxonomy available in the knowledge base that systematically classifies instances of virtual laundering. The taxonomy is available for scholars and practitioners to use and apply when discussing how to regulate and formulate legislation, policies and appropriate security controls.

A MILP model for optimal switch placement to enhance power distribution system performance in normal and hurricane conditions

Severe hurricanes can inflict significant damages in the order of several times the common network failures on both the distribution companies and consumers. Network reconfiguration and condition-based switching are the common actions for enhancing distribution network performance in both normal and emergency conditions. In this paper, a novel approach is presented for simultaneous improvement in resiliency, reliability, and power losses. A practical strategy is proposed by considering the coordination between load restoration and repair of damaged lines in optimal switch placement problems. The use of both remote-controlled switches (RCS) and manual switches (MS) as well as considering practical constraints related to line repair and load restoration leads to the increased number of decision variables and consequently the degraded performance of meta-heuristic methods to obtain the global optimum solutions, especially for larger scale networks. Therefore, the proposed approach uses the exact method of MILP to solve the optimization problem. In this context, the uncertainty related to damage status and repair time of lines during High-Impact Low-Probability (HILP) events is the main challenge in linear modeling of the problem for which new methods are provided in the study. The programming is coded in MATLAB and tested on a modified IEEE 33-bus network.

A novel simulation model for ureteral stent placement

A novel simulation model for ureteral stent placement

Electric vehicle charging stations: Model, algorithm, simulation, location, and capacity planning

The transition to sustainable transportation is imperative in mitigating environmental impacts, with electric vehicles (EVs) at the forefront of this shift. Despite their environmental benefits, the global adoption of EVs is curtailed by challenges such as nascent battery technology, high costs, and insufficient charging infrastructure. This study addresses the optimizing electric vehicle charging station (EVCS) locations as a critical step toward enhancing EV adoption rates. Thus, establishing efficient charging stations is critical to meet the increasing demand. By integrating location modeling with demand forecasts and market penetration, we propose a comprehensive approach to determine optimal locations and capacities for EVCS. Firstly, review existing literature, highlighting the significance of facility location models in optimizing EV charging infrastructure and identifying gaps in addressing demand and market penetration. Our methodology uses a genetic algorithm to solve the p-median problem for location selection and Arena 14 simulation software to model station traffic and optimize charging unit types and quantities. The model prioritizes public areas, considering potential demand points and station locations to propose optimal charging areas. Results indicate that our model minimizes travel distances and waiting times, offering a scalable solution adaptable to future EV market growth. This study contributes to the field by presenting a sustainable and economical model for EVCS placement and capacity planning, underlining the importance of a robust charging network in the broader adoption of electric transportation. The findings suggest that proactive infrastructure development, guided by accurate demand predictions and optimized location strategies, can significantly enhance the feasibility and attractiveness of EVs, supporting global efforts towards a cleaner, more sustainable transportation system.

(1366) - Utility of 3D Printed Models for Ventricular Assist Device Placement in Congenital Heart Disease: Preliminary Results from a Prospective Clinical Trial

(1366) - Utility of 3D Printed Models for Ventricular Assist Device Placement in Congenital Heart Disease: Preliminary Results from a Prospective Clinical Trial

(Re)Placing Personalis: A Study of Placement Reform and Self-Construction in Mission-Driven Contexts

Recent movements in higher education have opened many opportunities for writing program administrators to reform first-year writing placement procedures, including continued development and adaptation of Directed Self Placement (DSP) models alongside ongoing research into their potential to foster student agency and advance linguistic, racial, and social justice in the academy. Our study traces and compares the efforts of two writing program administrators to reform flawed placement processes at their two mission-driven liberal arts institutions—one, a small Lasallian university and Hispanic-serving Institution in Northern California; the other, a private research Jesuit university located in New York City. Using inter-institutional, grounded theory research, this study examines students' reflections on their placement choices to understand “substantive validity,” inquiring intentionally into ways that students self-locate with regard to their self-placement assessments and connecting to the mission-based language of personalis, what belongs to the person. Findings indicate that students use four rhetorical moves to personalize their placement: proliferating, riffing, importing, and qualifying. Specifically, the study calls into question current understandings of under-placement in DSP models, complicating DSP’s fundamentals of choice, guidance, and justice.

It Takes a Campus: Agility in the Development of Directed Self-Placement

Transitioning from a conventional placement model for first-year writing to a student self-placement (SSP) model requires many stakeholders to shift their perspectives on students, assessment, and the nature of the work of writing program administrators (WPAs). This article recounts the communicative and administrative agility involved in launching SSP while simultaneously researching its effects on student success. It also foregrounds the shifts in numerous roles--including those of instructors, students, and advisors, and even our own roles as WPA-researchers--that have been prompted by the transition to SSP. In particular, this article explores the connections between those roles and academic paternalism--an attitude that presumes to know what is best for students, that doubts students' abilities to make good placement decisions, and that treats conventional placement outcomes as the measure against which SSP should be judged. Adherence to academic paternalism and its investment in "expert" assessment of student writing ability emerges as an obstacle to realizing the full potential of SSP to support equitable placement practices.

A Case-Based Reasoning (CBR) Internship Placement Model

A Case-Based Reasoning (CBR) Internship Placement Model

Estimating Compressive and Shear Forces at L5-S1: Exploring the Effects of Load Weight, Asymmetry, and Height Using Optical and Inertial Motion Capture Systems.

This study assesses the agreement of compressive and shear force estimates at the L5-S1 joint using inertial motion capture (IMC) within a musculoskeletal simulation model during manual lifting tasks, compared against a top-down optical motion capture (OMC)-based model. Thirty-six participants completed lifting and lowering tasks while wearing a modified Plug-in Gait marker set for the OMC and a full-body IMC set-up consisting of 17 sensors. The study focused on tasks with variable load weights, lifting heights, and trunk rotation angles. It was found that the IMC system consistently underestimated the compressive forces by an average of 34% (975.16 N) and the shear forces by 30% (291.77 N) compared with the OMC system. A critical observation was the discrepancy in joint angle measurements, particularly in trunk flexion, where the IMC-based model underestimated the angles by 10.92-11.19 degrees on average, with the extremes reaching up to 28 degrees. This underestimation was more pronounced in tasks involving greater flexion, notably impacting the force estimates. Additionally, this study highlights significant differences in the distance from the spine to the box during these tasks. On average, the IMC system showed an 8 cm shorter distance on the X axis and a 12-13 cm shorter distance on the Z axis during lifting and lowering, respectively, indicating a consistent underestimation of the segment length compared with the OMC system. These discrepancies in the joint angles and distances suggest potential limitations of the IMC system's sensor placement and model scaling. The load weight emerged as the most significant factor affecting force estimates, particularly at lower lifting heights, which involved more pronounced flexion movements. This study concludes that while the IMC system offers utility in ergonomic assessments, sensor placement and anthropometric modeling accuracy enhancements are imperative for more reliable force and kinematic estimations in occupational settings.

Exploring the non-vocational outcomes of the individual placement and support (IPS) employment model

Purpose Individual Placement and Support (IPS) is an evidence-based employment model, effective in supporting individuals with severe mental health difficulties to gain competitive employment. Irish mental health policy recognises its value and IPS is being rolled out in a national programme. Employment is recognised an important contributor to mental health recovery and social inclusion. However, research on IPS has tended to focus on competitive job outcomes. The purpose of this study was to explore the non-vocational outcomes of IPS in an Irish context. Design/methodology/approach A qualitative research approach was used to interview participants taking part in IPS within community mental health teams. Twelve interviews were included in the data analysis process which was informed by a thematic analysis approach. Findings Participants experienced increased confidence and positivity, both within a work context and whilst job seeking. More purposeful time use, participation in activities and engagement with society were also experienced by those employed and those at the job search stage of IPS. Originality/value This study contributes to the literature about the non-vocational benefits of IPS within an Irish context, highlights the mental health recovery benefits of taking part in IPS and supports the need for ongoing development of IPS throughout mental health services in Ireland.

Attitudes toward Inclusive Education from a Network Perspective

The present study showcases attitudes toward inclusive education in a new light. It contributes to the ongoing debate regarding the extent of inclusive education and highlights the importance of teachers in a process toward inclusion. Based on a framework that involves the reciprocal relation between models of disability, learning theory, and placement of persons with disabilities, attitudes of student teachers and psychology students from a German university are analyzed and mapped through the application of a network approach. This facilitates visualization and categorization based on their statistical relation. An online questionnaire consisting of established and newly developed scales was answered by (n=) 132 student teachers and (n=) 59 psychology students, resulting in n = 191 participants. The study was publicly promoted, and participants were offered study credentials. Using a Spinglass algorithm to analyze the data, we detected two distinct communities in the network: an Exclusion Community and an Inclusion Community. These are supported by further variables (Empathy, Contact, Authoritarianism, and Social Darwinism). The findings demonstrate an especially firm Exclusion Community, whereas inclusive attitudes appear to be varied.

Good psychiatric management for borderline personality disorder: A qualitative study of its implementation in a supported employment team.

People with borderline personality disorder have difficulties with work. The Individual Placement and Support model has shown its worldwide effectiveness in terms of vocational rehabilitation for individuals with psychiatric disorders. However, only a few recent studies have explored its results for people with personality disorders, and the findings were mitigated. Additionally, Individual Placement and Support job coaches reported difficulties in supporting this population. An evidence-based psychotherapeutic method, also applicable in a case management context, called Good Psychiatric Management for borderline personality disorder, could potentially overcome these obstacles. This study aimed to evaluate the initial integration of Good Psychiatric Management in Individual Placement and Support practice. Individual Placement and Support practitioners of Lausanne University Hospital, Switzerland, were trained in Good Psychiatric Management in January 2022. Five of them participated in a focus group to collect their impressions about the training, and six were interviewed 9 months later to assess the initial adoption of Good Psychiatric Management into their practice. Thematic analyses were conducted. Job coaches were positive about this new tool. All of them found it useful and beneficial both for them and their patients. They were able to follow the main Good Psychiatric Management principles in their practice However, the findings also suggested some additional improvements in the implementation process. Integrating Good Psychiatric Management in Individual Placement and Support seems feasible, and the team who appreciated it adopted it. The method offers new perspectives in community support for people living with borderline personality disorder.

Development of an Anatomically Accurate Three-Dimensional Simulation Model for Pediatric Central Line Placement

Abstract Intensive care unit patients can require a central venous catheter (CVC) which medical trainees often place. The purpose of this study was to create a novel three-dimensional (3D) printed model, based on actual patient anatomy from a de-identified computed tomography (CT) scan, with improved anatomy, tactile properties, and realism beyond current task trainers for pediatric CVC placement simulation. Bakken Center researchers converted CT DICOM slices into a 3D model using multiple computer programs and multiple 3D printers. Faculty of various subspecialties at our institution attempted to place a CVC line into the model and then evaluated the model in 5 categories using an anonymous REDCap survey. Fifteen faculty participated and fourteen completed their survey. Feedback, based on a 0–10 scale with 10 being highest, was as follows: the model's size scored an average of 8.4, the model's tactile properties scored a 6.1, the model's anatomy received a 7.1, the model's perceived usefulness for practicing central line placement received a 7.6, and the model received a 7.6 in regard to whether it should be utilized in procedural training curriculums. Additional comments were collected in the survey and participants requested that the model's blood vessels be fully visible on ultrasound and that the model be firmer. In conclusion, creating a 3D simulation model for pediatric CVC placement is possible.