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With the increasing diversity, including international students, in US American colleges, it is inescapable for faculty to make long-term adjustments to maximize learning for every participant in their courses. Creating an inclusive environment means that faculty are attuned to the diverse needs of college students regarding each task written or oral. In this chapter, the author describes an applicable academic class discussion model, an equitable process that faculty can adapt in their classes and facilitate frequently, especially if that is an inevitable component of their courses. The author explains how comprehensive notes on texts, adequate information literacy skills, and transparent class norms will lead to learning-centered academic class discussions and meaningful engagement of international college students.

Three-dimensional (3D) printed parts usually have poor surface quality due to layer manufacturing’s “stair casing/stair-stepping”. So post-processing is typically needed to enhance its capabilities to be used in closed tolerance applications. This study aims to examine abrasive flow finishing for 3D printed polylactic acid (PLA) parts.

A new eco-friendly abrasive flow machining media (EFAFM) was developed, using paper pulp as a base material, waste vegetable oil as a liquid synthesizer and natural additives such as glycine to finish 3D printed parts. Characterization of the media was conducted through thermogravimetric analysis and Fourier transform infrared spectroscopy. PLA crescent prism parts were produced via fused deposition modelling (FDM) and finished using AFM, with experiments designed using central composite design (CCD). The impact of process parameters, including media viscosity, extrusion pressure, layer thickness and finishing time, on percentage improvement in surface roughness (%ΔRa) and material removal rate were analysed. Artificial neural network (ANN) and improved grey wolf optimizer (IGWO) were used for data modelling and optimization, respectively.

The abrasive media developed was effective for finishing FDM printed parts using AFM, with SEM images and 3D surface profile showing a significant improvement in surface topography. Optimal solutions were obtained using the ANN-IGWO approach. EFAFM was found to be a promising method for improving finishing quality on FDM 3D printed parts.

The present study is focused on finishing FDM printed crescent prism parts using AFM. Future research may be done on more complex shapes and could explore the impact of different materials, such as thermoplastics and composites for different applications. Also, implication of other techniques, such as chemical vapour smoothing, mechanical polishing may be explored.

In the biomedical field, the use of 3D printing has revolutionized the way in which medical devices, implants and prosthetics are designed and manufactured. The biodegradable and biocompatible properties of PLA make it an ideal material for use in biomedical applications, such as the fabrication of surgical guides, dental models and tissue engineering scaffolds. The ability to finish PLA 3D printed parts using AFM can improve their biocompatibility, making them more suitable for use in the human body. The improved surface quality of 3D printed parts can also facilitate their sterilization, which is critical in the biomedical field.

The use of eco-friendly abrasive flow finishing for 3D printed parts can have a positive impact on the environment by reducing waste and promoting sustainable manufacturing practices. Additionally, it can improve the quality and functionality of 3D printed products, leading to better performance and longer lifespans. This can have broader economic and societal benefits.

This AFM media constituents are paper pulp, waste vegetable oil, silicon carbide as abrasive and the mixture of “Aloe Barbadensis Mill” – “Cyamopsis Tetragonoloba” powder and glycine. This media was then used to finish 3D printed PLA crescent prism parts. The study also used an IGWO to optimize experimental data that had been modelled using an ANN.

Research on the relationship between high job satisfaction human resources (HR) practices and work-related outcomes at the individual level rarely focuses on job crafting and levels of job passion. To fill this knowledge gap, we show how the relationships between perceived job passion by employees and the availability of HR practices and job satisfaction can vary in job crafting. Based on the job demands–resources (JD-R) perspective, this study was conducted primarily to test the effect of job crafting on the relationship between job passion and job satisfaction. Within the scope of the study, the mediator and moderator role of job crafting between these variables was investigated. The study was collected from 790 people working as blue collars in companies operating in the field of industry in Turkey by survey method. According to the findings of the study, it was observed that job crafting affects job satisfaction in the same direction. In addition to these, the partial mediator and moderator role of job crafting has been observed in the effect of job passion on job satisfaction. Considering these results, it has been observed that the passion for work of blue-collar employees affects job satisfaction. When job crafting is added to this effect, the intensity, strength, and direction of the effect between two variables can change. As a result of the study findings, it has been shown that managers and especially HR managers will strengthen the effect between job crafting and job satisfaction by ensuring the passion of blue-collar individuals.

This study aims to explore which outcome measures are used by occupational therapy staff in adult social care settings in the UK, and the factors affecting use of outcome measures.

A quantitative descriptive research design was used, using a cross-sectional study to explore occupational therapy staff views on the use of outcome measures. A 38-question survey was developed on Microsoft Forms. Recruitment occurred online over a three-week period in 2021 via the social media platform “Twitter”. Results were analysed using Excel using descriptive statistics and qualitative results used thematic analysis.

Participants (n = 20) used a range of outcome measures (13) in adult social care settings in the previous 12 months. Standardised measures were used by half the sample in the previous 12 months. The Therapy Outcome Measure and Barthel Index were in most use. The breadth of adult social care practice and practical factors such as caseload and lack of a meaningful tool were found to be barriers to outcome measure use. Facilitators included service improvement, accountability, use of audit and professional occupational therapy leadership.

The overall use of outcome measures can be considered low in this setting, with manager support seen to be key to the use of outcome measures. Further research is needed to investigate nationwide use.

Training, time and manager support are key to use of standardised tests and outcome measures in the adult social care settings. The use of occupational performance measures should be considered to demonstrate unique professional impact.

This contemporary study reveals use of outcome measures within occupational therapy adult social care services in the UK, which is an under researched and under published area.

Guided by an interest in how K-12 history teachers think about teaching race and related concepts in their courses, this paper explores the impact of a workshop put on by a history and civics professional learning organization that explicitly focused on historicizing race, racism and whiteness as a method for furthering teachers' understandings and commitments to antiracist teaching.

This paper draws on Critical Race Theory and Critical Whiteness Studies to make sense of the idea of history teaching as a racial project. Using surveys and a focus group discussion as data.

The authors found that, after the workshop, teachers reported increased comfort and interest in teaching more about race and racism, while fewer stated explicit commitments and plans to teach about whiteness. The authors also found that teachers' definitions of whiteness were largely framed as habits of mind and individual practices and situated within an educational sphere. Additionally teachers initially grappled with systemic interpretations of whiteness, yet ended up landing on identity as the starting point for critical history instruction.

These findings prompt the authors to discuss the continued challenges of linking whiteness with antiracist history teaching and also grapple with the affordances and pitfalls of identity as a starting point for race work.

Integrated care approaches have been recommended for co-occurring substance use and mental health disorders. The purpose of this study is to explore and map the research literature regarding social work and its intersection with co-occurring substance use and mental health disorders.

An iterative and systematic search of five electronic databases CINAHL, Scopus, PsycINFO, Social Science Database and Medline was conducted to identify studies published between 2002 and 2022. Two reviewers independently screened publications in two successive stages of title and abstract screening, followed by a full-text screening of eligible studies. Data from each included publication were screened and extracted using Covidence.

A total of 38 eligible studies were included in the final scoping review. The included studies were conducted in eight different counties, including a range of study designs (e.g. cross-sectional, RCT, pilot studies). Only 8 of the 38 studies included people with co-occurring disorders as participants. Study settings were broad, for example, dual-diagnosis, military, homeless, substance use and community-based settings.

A review of the literature surrounding social work practice and its intersection with co-occurring mental health and Alcohol and other drug was warranted to document the evidence on this largely unexplored area of research. This review found that there was a paucity of literature that focused specifically on the role of social work practice in relation to individuals with co-occurring disorders, with a limited number of studies focusing on dual diagnoses.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was examined in the current paper.

First, the standard Malmquist Productivity Index (MPI) was employed for 13 commercial banks for both stages. Second, by excluding the state-owned commercial bank, the analysis employed a bootstrapped MPI for the robust and comprehensive conclusion. Furthermore, from 2010 to 2019, the fixed effect Ordinary Least Square (OLS) regression with balanced panel data was used.

The standard MPI in both stages shows that the productivity of Ethiopian commercial banks is declining. The technological shock was the main reason for the loss. The catch-up in both stages scored above unity, mainly due to the pure efficiency change. Besides, when combined with tangible resources, the inclusion of resource-based view (RBV) proxy variables reduces technological shock regress and ultimately improves productivity change. The bootstrapped MPI also reveals that technological shock is the primary source of the productivity decline. However, efficiency change also contributes to the productivity decline based on this estimation.

Future research could examine the more extensive productivity analysis by considering the primary sources of data collections for resource-based variables.

According to the study's results, banking regulatory authorities and bank management, including the shareholders, should continue to invest in cutting-edge technology to improve the productivity of the banking sector.

This is the first comprehensive study of productivity for Ethiopian commercial banks based on the standard MPI, bootstrapped MPI, and OLS by incorporating all resources into the analysis.