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This study aims to report on the feasibility, acceptability and outcomes of a peer support program designed to promote social participation for adults with serious mental illness (SMI) in China.

The authors used a community-based participatory research approach to adapt and test a six-month, culturally responsive peer program with 68 participants. Peer supporters were trained and supervised in Guangzhou, China. Peer workers were hired via a competitive process and completed both classroom and field training. Study participants were offered individual and group socialization activities. Participants completed measures on recovery, quality of life, functioning and symptoms at three time points (pre-, post- and follow-up).

Nearly 90% of participants expressed satisfaction with their peer supporters and the frequency of services. Findings showed a significant increasing trend for the social relationships domain of quality of life from baseline to follow-up. Female participants reported significantly increased recovery from pre to post and increased psychological quality of life pre-follow-up as compared to their male counterparts. Supervision logs documented positive gains from participants such as increased help-seeking, improved social skills, enhanced emotion regulation and self-confidence and established routine, alongside challenges like inconsistent engagement, low service incentives and an overreliance on social workers. Peer supporters also reported concerns about their own lack of skills and in navigating relationships between participants and their family members.

Peer interventions have been well studied in Western countries but underexplored in China. This research addresses this gap by presenting a peer program aimed at enhancing the social participation of Chinese with SMI.

While serious mental illness (SMI) and substance use disorders (SUD) are common, less research has focused on causal beliefs across conditions. This is an important question when trying to understand the experience of dual diagnosis. The purpose of this paper is to examine how three factors representing causal beliefs (biogenetic, psychosocial or childhood adversity) differ by SMI and SUD. This study also examined how causal beliefs were associated with overall, process and outcome beliefs about recovery.

Using Mechanical Turks online panel, 195 research participants from the general public completed measures of recovery – overall, outcome and process – for SMI and SUD. Participants also completed the Causal Beliefs Scale yielding three causal factors for SMI and separately for SUD: biogenetic, psychosocial and childhood adversity.

Results indicated participants endorsed biogenetic cause more for SMI and SUD. Moreover, research participants endorsed biogenetic causes more than the other two for SMI. Results also showed the psychosocial cause was positively associated with recovery for SMI. Biogenetic causes were not. Almost none of the causal indicators was significantly associated with recovery for SUD.

Implications of these findings for future research and public efforts to enhance attitudes about recovery are discussed.

This study aims to examine the reliability and validity of the Arabic version of the attribution questionnaire (AQ).

The AQ is designed to assess attitudes, affects and behavioral intentions related to a hypothetical person diagnosed with schizophrenia. The original English version was translated into Literary Arabic. A total of 310 students registered in different universities, with medical and paramedical establishments excluded completed the Arabic version of AQ. Reliability was tested using Cronbach’s alpha coefficients. Structural equation modeling was used to test hypothesized paths. Correlations among exogenous (e.g. responsibility) and endogenous (e.g. help) variables in the path were examined. Fit indicators were then examined for equations that were identified.

The results revealed that the Arabic version of AQ showed acceptable psychometric properties in the assessment of stigma in the Tunisian population. All factors of this Arabic version showed Cronbach’s alpha values equal to or greater than 0.72. Structural equation models for the responsibility and dangerousness models were mostly supported. The Arabic version of AQ is valid and reliable for the assessment of stigma in Tunisian and Arabic-speaking populations.

The Arabic version of AQ may be used to promote research on stigma toward people with mental illness in larger and more representative Tunisian and Arabic-speaking populations, which will help to further address the complex and multifaceted phenomenon of stigma toward people with mental illness.

This is the first validated stigma measure in the Tunisian socio-cultural context.

In this study, it is aimed to correctly weigh the criteria for the selection of qualified manager in a healthcare facility and to make the right selection among candidates with an objective method. In this study, in which the health manager selection was carried out with fuzzy Analytical Hierarchy Process (AHP) and MULTIMOORA methods, 8 candidates were evaluated according to 12 personnel selection criteria. Comparative matrices of qualified health manager selection criteria were presented to the expert opinion and analyzed with the fuzzy AHP method. According to the analysis result, among the 12 criteria; The “Crisis Management Skill” criterion is in the first place with 12.5% weight; The “Social Responsibility Awareness” criterion was found to be in the last place with 3.2% weight. The MULTIMOORA method was applied by analyzing the interview scores and criterion weightings of the candidates evaluated by the jury. According to the results of MULTIMOORA, Candidate 1 first place and Candidate 6 ranked last.

The purpose of this study is to investigate Koreans' preferences for FCDM versus SDM and explored the influence of Asian cultural values on decision-making in the context of managing chronic illnesses, such as type 2 diabetes mellitus (T2DM). Shared decision-making (SDM) emphasizes collaboration between providers and service recipients to decide on the best treatment options. However, it may not fully account for the role of families in managing chronic illness, particularly for people from Eastern cultural backgrounds who value active participation from their families in decisions. In response, family-centered decision-making (FCDM) has been proposed as an alternative approach. Using a vignette experiment design, data (n = 316) were collected from Koreans in the US and in Korea who were randomly presented with either SDM or FCDM processes for reaching T2DM treatment decisions. In addition to demographic information, participants reported on three dimensions of their decision-making experience: satisfaction, perceived effectiveness, and perspective-taking. They also rated their Asian cultural values and familiarity with T2DM. Results show better satisfaction, perceived effectiveness, and perspective taking for FCDM compared to SDM when examined in context of treatment types and perceived illness severity. Moderation effects were found for familiarity of illness, with familiarity effects varying by perceived severity. Study findings provided some evidence in favor of FCDM in Asian communities addressing the disabilities and chronic illness of a family member. Although the current study investigated treatment decisions for T2DM during doctor's visits, FCDM has shown potential to be applied in other service settings.

This research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.

Study has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.

As per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.

Group of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.

The researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

The rapid growth of 3D printing has transformed the cost-effective production of prototypes and functional items, primarily using extrusion technology with thermoplastics. This study aims to focus on optimizing mechanical properties, precisely highlighting the crucial role of mechanical compressive strength in ensuring the functionality and durability of 3D-printed components, especially in industrial and engineering applications.

Using the Box−Behnken experimental design, the research investigated the influence of layer thickness, wall perimeter and infill level on mechanical resistance through compression. Parameters such as maximum force, printing time and mass utilization are considered for assessing and enhancing mechanical properties.

The layer thickness was identified as the most influential parameter over the compression time, followed by the degree of infill. The number of surface layers significantly influences both maximum strength and total mass. Optimization strategies suggest reducing infill percentage while maintaining moderate to high values for surface layers and layer thickness, enabling the production of lightweight components with adequate mechanical strength and reduced printing time. Experimental validation confirms the effectiveness of these strategies, with generated regression equations serving as a valuable predictive tool for similar parameters.

This research offers valuable insights for industries using 3D printing in creating prototypes and functional parts. By identifying optimal parameters such as layer thickness, surface layers and infill levels, the study helps manufacturers achieve stronger, lighter and more cost-efficient components. For industrial and engineering applications, adopting the outlined optimization strategies can result in components with enhanced mechanical strength and durability, while also reducing material costs and printing times. Practitioners can use the developed regression equations as predictive tools to fine-tune their production processes and achieve desired mechanical properties more effectively.

This research contributes to the ongoing evolution of additive manufacturing, providing insights into optimizing structural rigidity through polylactic acid (PLA) selection, Box−Behnken design and overall process optimization. These findings advance the understanding of fused deposition modeling (FDM) technology and offer practical implications for more efficient and economical 3D printing processes in industrial and engineering applications.

WO₃ particles were prepared by the sol-gel method. Tetraethyl silicate (TEOS) was used to obtain a SiO₂-coated WO₃ nanoparticle. Quantum chemical parameters of oleic acid, triethanolamine, glycerol and methyl pentane as dispersants were theoretically calculated. Tribological properties of SiO₂/WO₃ nanocomposite lubricant were carried out on an MRS-10A four-ball friction and wear tester.

The purpose of this study is to investigate the preparation and tribological properties of SiO₂/WO₃ nanocomposite lubricant.

The obtained SiO₂-coated WO₃ nanoparticle (nano-SiO₂/WO₃) with a particle size of about 70 nm. The calculated adsorption energy of triethanolamine on the surface of the steel ball is 554.6 eV, and triethanolamine is selected as the dispersant. The dispersion effect of SiO₂/WO₃ nanocomposite lubricant is good, which shows that triethanolamine oleate plays a good dispersion role in the preparation of lubricant, which is consistent with the calculation results of the adsorption capacity of dispersant. As a good auxiliary lubricant, SiO₂ can improve the tribological properties and wear resistance of WO₃.

Nanocomposite lubricants have been the focus of research in recent years, which could greatly reduce energy consumption. And the SiO₂/WO₃ exhibited excellent lubrication performance as a lubricant additive. The lubrication mechanism of SiO₂/WO₃ nanocomposite lubricant is the synergistic lubrication mechanism of friction film lubrication and antifriction bearing. This study could provide a certain reference for the practical application of nanocomposite lubricants.