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This study aims to examine the predictive power of childhood adversity and severity of positive symptoms on suicidality, controlling for selected sociodemographics factors, among hospitalized patients diagnosed with schizophrenia in Jordan.

This study used a descriptive-explorative design. The study was conducted at two major psychiatric hospitals in Jordan. The targeted sample was 66 patients diagnosed with schizophrenia. Data was collected using a structured format in the period February–April 2024.

A two-step multiple hierarchical regression analysis was conducted. In the first model, childhood adversity and the severity of positive symptoms were entered. In the second model, sociodemographic variables were entered. The analysis revealed that the first model (F = 5.35, p = 0.007) was statistically significant. The second model (F = 717, p < 0.001) was statistically significant. Furthermore, the analysis revealed that childhood adversity was not a significant predictor for suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality. The analysis revealed that childhood adversity was not a significant predictor of suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality.

One limitation of this study is related to the sample and the setting where there were only 66 patients recruited from governmental hospitals within inpatient wards. Thus, the upcoming studies should include more participants from private hospitals and different hospital settings including outpatient and emergency departments.

The research provides empirical insights that positive symptoms, age hospitalization and schizophrenia diagnosis length were significant predictors of suicidality. At the same time, childhood adversity was not a significant predictor of suicidality.

The current research contributes to expanding mental health studies. Moreover, this study enlarges the body of knowledge in the academic world and clinical settings. It supports the disciplines of psychology, mental health and social sciences by increasing knowledge of the complicated relationships among childhood adversity, positive symptoms and suicidality.

This paper fulfills an identified need to study childhood adversity with comorbid psychiatric disorders such as schizophrenia, as well as psychiatric mental health covariates.

Early bio-psycho-social experiences can dramatically impact all aspects of development. Both autism and traumagenic histories can lead to trans-diagnostic behavioural features that can be confused with one another during diagnostic assessment, unless an in-depth differential diagnostic evaluation is conducted that considers the developmental aetiology and underpinning experiences and triggers to trans-diagnostic behaviours.

This paper will explore the ways in which biological, cognitive, emotional and social sequelae of early trauma and attachment challenges, can look very similar to a range of neurodevelopmental disorders, including autism. Relevant literature and theory will be considered and synthesised with clinical knowledge of trauma and autism.

Recommendations are made for how the overlap between features of autism and trauma can be considered during assessments alongside consideration for interventions to enable people to access the most appropriate support for their needs.

Many features of the behaviours of individuals who have experienced early childhood trauma and disrupted or maladaptive attachments, may look similar to the behaviours associated with autism and hence diagnostic assessments of autism need to carefully differentiate traumagenic causes, to either dual diagnose (if both are present) or exclude autism, if it is not present. This has for long been recognised in child and adolescent autism specialist services but is less well developed in adult autism specialist services.

This paper proposes a methodology based on an uncertain mining technology that identifies the linguistic relationships of ESG and its components with a financial performance metric to help the sustainability diagnosis of a region, specifically Latin America.

First, based on a relevant dataset of companies in a region, a procedure is formulated whereby an uncertain mining technology extracts the mathematically significant linguistic relationships of ESG and its components with a financial performance metric. Second, a knowledge management process is designed based on the linguistic summaries obtained from the mining process. As a final step and drawing upon the two preceding processes, a diagrammatic system of signals is proposed for diagnosing the sustainability of the region as contributed by its companies.

After this methodology is instantiated on a group of Multilatinas, it is observed that their sustainability contributions to the region are limited and that none of the identified linguistic relationships between ESG and the financial performance metric are favorable for the region.

This is the first proposal of its kind and it can be applied to any region of the world to assess the financial performance of its companies regarding their ESG commitments. In addition, it enables the region to comprehensively monitor compliance with the 2030 SDG agenda.

This study aims to address the critical issue of machine breakdowns in industrial settings, which jeopardize operation economy, worker safety, productivity and environmental compliance. It explores the efficacy of a predictive maintenance program in mitigating these risks by proactively identifying and minimizing failures, thereby optimizing maintenance activities for higher efficiency.

The article implements Logical Analysis of Data (LAD) as a predictive maintenance approach on an industrial machine maintenance dataset. The aim is to (1) detect failure presence and (2) determine specific failure modes. Data resampling is applied to address asymmetrical class distribution.

LAD demonstrates its interpretability by extracting patterns facilitating the failure diagnosis. Results indicate that, in the first case study, LAD exhibits a high recall value for failure records within a balanced dataset. In the second case study involving smaller-scale datasets, enhancement across all evaluation metrics is observed when data is balanced and remains robust in the presence of imbalance, albeit with nuanced differences in between.

This research highlights the importance of transparency in predictive maintenance programs. The research shows the effectiveness of LAD in detecting failures and identifying specific failure modes from diagnostic sensor data. This maintenance strategy exhibits its distinction by offering explainable failure patterns for maintenance teams. The patterns facilitate the failure cause-effect analysis and serve as the core for failure prediction. Hence, this program has the potential to enhance machine reliability, availability and maintainability in industrial environments.

This paper aims to propose a framework to assess the readiness of Brazilian small and medium service companies to use Industry 4.0 technologies to improve the efficiency of processes, reinforcing the idea that evaluating and planning the implementation is as important as the use, without the need for big investments.

The paper presents two applications on the readiness level of small and medium enterprises, with support from researchers and stakeholders. The literature seems to focus more on the maturity level than on providing a sequence of operational steps or decision support. It would lead to better implementation of I4.0 technologies in assessing the company’s readiness level to adopt them.

The authors analyze the relevant case studies in Brazilian small and medium service enterprises based on the proposed framework to investigate the main challenges and hardships for Industry 4.0 readiness in the current scenario and outline directions to increase their readiness for adopting key Industry 4.0 technologies. Moreover, the case studies consolidate a fundamental advantage to small and medium enterprise service: a guided implementation provides more knowledge about products, processes and I4.0 technologies, even in unsuccessful case studies.

The need was identified when studying market trends with the digital transformation provided by Industry 4.0 technologies and, in parallel, the difficulties of small and medium service companies in adapting to this new scenario. Through the proposed framework, an action plan can be drawn up with well-defined objectives, goals and activities so that the service enterprises can increase their Industry 4.0 readiness level within three months.

A relevant aspect is that this study is based on feedback from stakeholders and managers, which makes the analyses and conclusions from empirical points of view without relevant theoretical knowledge of the relationship between I4.0 technologies. Therefore, the proposed framework made it possible to diagnose the organization’s external and internal environments, allowing the ideal condition and the current situation of the companies to be compared, as argued in the Industry 4.0 readiness literature review.

Interprofessional collaboration and coordination are critical to developing solutions to complex problems, and many workplaces engage in coordination and collaboration across organizational boundaries. This development changes work conditions and workplaces for many people. The ethnographic study of workplaces needs to re-configure the toolbox to adjust to such changes. The purpose of this study was to explore how the ethnographic study of dispersed workplaces can benefit from the analytical concept of boundary work.

A multi-sited ethnographic study was conducted in two health promotion programs, introducing new collaborative relations across sectors and professions. The concept of boundary work was applied as the conceptual frame and introduced the diagnosis of gestational diabetes mellitus (GDM) as a boundary object.

Professional boundaries are key to understanding interorganizational and interprofessional collaborations. The ethnographic study of complex, multi-sited settings using boundary work as a conceptual framework can enrich workplace ethnographies by demonstrating how professions position themselves through framing. Such framing strategies are used to construct, defend or contest boundaries. Boundary objects may potentially bridge devices connecting people across boundaries.

The traditional ethnographic notion of “following” an object or a subject is difficult in a workplace environment dispersed across multiple sites and involving many different actors. This suggests that workplace ethnographies studying interorganizational workplaces would benefit from a shift in focus from place-based or group-based ethnography to a field-level ethnography of relations using boundary work as an analytical frame.

This study aims to report the effectiveness of family based treatment and pharmacotherapy on an adolescent boy with anorexia nervosa and intellectual disability.

The authors reported the case of a 16-year-old boy with AN and ID and referred him to a family therapist and psychiatrist in Tehran.

The patient experienced fatigue, weakness, dissatisfaction, suicidal thoughts and self-harm signs over the past one year. He also had behaviors such as abstinence from eating and voluntary vomiting. He was diagnosed with AN and MDD.

The results suggest that these interventions can be effective but should be used with special consideration. Combining family therapy and pharmacotherapy might offer a chance to alleviate anorexia symptoms in people with ID.

Caregivers for older adults play a crucial role in protecting those diagnosed with dementia. These caregivers often experience heightened anxiety, depression and burdens associated with their responsibilities. Sufficient support and efficient coping mechanisms alleviate distress and caregiving burdens, thereby enhancing and protecting adults. Acceptance and commitment therapy (ACT) fosters acceptance of internal experiences and promotes behaviors aligned with personal values. This single-arm pilot study aims to evaluate the feasibility, acceptability and preliminary effects of an online ACT intervention (Online Acceptance and Commitment Therapy Intervention for Caregivers [OACTIC]) on well-being aspects among dementia caregivers, emphasizing the importance of tailored interventions to protect older adults and their caregivers.

The caregiver must be ≥21 years of age (i.e. a parent, spouse, partner, sibling or adult child), or they must be the primary caregiver of older adults with dementia for ≥12 months and have scores that indicate moderate or higher on the scale of anxiety, depression and poor quality of life. Participants received an online-based ACT over six weekly 1-h sessions. The following outcome measures were administered at baseline (T1), immediately post-intervention (T2) and three-month follow-up (T3): Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Zarit Burden Interview, The Experience of Suffering Measure and Acceptance and Action Questionnaire-II.

All 45 participants completed the study, with 93.3% rating their OACTIC experience as “completely satisfied.”

OACTIC (Trial Registration# AEARCTR-0012366) is a novel study conducted in Pakistan, offering a cost-effective and time-efficient treatment approach that enhances the psychological well-being and protects older adults and their caregivers.

This study aims to identify the reasons for unmet health-care needs and related barriers among the Roma population with chronic diseases in Jordan.

A descriptive survey with a cross-sectional design was conducted, involving a sample of 347 Jordanian Roma participants. Data collection was performed using a structured questionnaire based on the Canadian Community Health Survey.

The analysis revealed that within the three categories of reasons for unmet health-care needs (accessibility, availability and acceptability), “Transportation issues” under the accessibility category constitute the most reported reasons: (mean = 90.4%, SD = 22.6%), followed by “Cost” (mean = 89.0%, SD = 26.2%) and “Care not available in the area” (mean = 85.8%, SD = 23.6%). Predictors of unmet health-care needs were being married, having health insurance and self-perception of mental health (OR = 0.215, p = 0.044), (OR = 0.391, p = 0.008) and (OR = 0.302, p = 0.002) respectively.

Unmet health-care needs are highly prevalent among Jordanian Roma, rendering them a vulnerable group susceptible to other diseases. To address this pressing issue, concerted and comprehensive efforts should be made to improve the utilization and accessibility of health-care services within this community. Furthermore, efforts should be made to elevate their social standing and status. facilitate their integration into the broader community.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.