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Soybean is an important food commodity in Indonesia because it is the main raw material for tofu and tempeh, two major protein sources widely consumed by the population. However, domestic soybean production remains far below national demand resulting in heavy dependence on imports. In contrast maize is increasingly preferred by farmers due to its higher productivity and a more stable economic value. Therefore, maize–soybean intercropping has emerged as a promising strategy to improve land-use efficiency while increasing soybean production without reducing maize cultivation. This study systematically mapped and synthesized maize–soybean intercropping research in Indonesia and conducted a meta-analysis of Land Equivalent Ratio LER values reported across studies. Literature searches using Scopus, Web of Science, and Google Scholar identified 179 eligible publications published between 1978 and 2023. Most studies focused on agronomic factors such as variety selection spacing arrangement and fertilizer management. Meta-analysis showed average LER values of 1.47 ± 0.046 for maize–soybean intercropping and 1.36 ± 0.081 for maize–mung bean intercropping indicating advantages over monoculture systems. However, inconsistencies in methodology and reporting standards limited study comparability and sustainability assessments. Future research should integrate ecological, social, and long-term economic indicators alongside standardized reporting frameworks to strengthen evidence-based intercropping recommendations nationally for sustainable agriculture.

This meta-review evaluates the effectiveness of diverse mental health programs targeting Syrian refugees in Turkey over the period 2015-2023 through a systematic synthesis of 47 studies involving a total of 12,847 participants. Meta-regression results demonstrate a statistically significant reduction in Post-Traumatic Stress Disorder symptoms, with a large effect size (d = -0.86, 95% CI [-1.02, -0.70], p < .001), as well as a significant reduction in depressive symptoms (d = -0.72, 95% CI [-0.88, -0.56], p < .001) following intervention. Among the therapeutic approaches examined, Cognitive Behavioral Therapy exhibited the strongest therapeutic effect (β = 0.45, p < .001), followed by Eye Movement Desensitization and Reprocessing (β = 0.38, p < .001). Further moderator analysis revealed that group-based interventions were more effective than individual approaches (OR = 1.86, 95% CI [1.42, 2.30]). At the same time, program duration of 12-16 weeks showed a strong correlation with optimal clinical outcomes (r = 0.67, p < .001). These findings extend the results of Acarturk et al. (2022) regarding the effectiveness of CBT and reinforce the argument advanced by Shehadeh et al. (2016) concerning the superiority of group-based approaches, while also indicating a longer optimal intervention duration than previously reported. In contrast to the meta-analysis by Antuña-Camblor & Hernández (2025), which emphasized EMDR, this study identifies CBT as superior to EMDR among Syrian refugees in Turkey. The novelty of this study lies in its comprehensive analysis of program moderator factors and the identification of the most effective intervention duration parameters for the target population.

Antibiotics are one of the main pillars in the treatment of bacterial infections and have contributed significantly to increasing human life expectancy. However, long-term use of antibiotics has serious consequences for the balance of the body's microbiome, especially the gut microbiome which plays an important role in maintaining homeostasis through the regulation of the immune system, metabolism, and protection against pathogens. This literature review aims to comprehensively analyze the impact of long-term antibiotic use on the structure, diversity, and function of the human microbiome. The scientific articles reviewed were obtained from PubMed, Scopus, ScienceDirect, and Google Scholar databases, including empirical research, systematic review, and meta-analysis published in the last ten years. The results showed that prolonged exposure to antibiotics consistently decreased microbiota diversity, altered the composition of bacterial communities, and triggered dysbiosis, which is often persistent even when therapy is stopped. Dysbiosis is associated with impaired immune system function, increased systemic inflammation, risk of allergic and metabolic diseases, and potential disorders on the intestinal-brain axis. This impact is more pronounced in vulnerable groups such as neonates and children, especially when exposure occurs during a critical period of development. In conclusion, long-term antibiotic use has broad systemic implications, so a more rational, prudent, and sustainable use strategy is needed to maintain the health of the human microbiome.

The global energy crisis and climate change are driving the development of biodiesel as a renewable energy source. Graphite as an additive shows significant potential in improving the efficiency and reducing emissions of biodiesel. This study maps graphite-biodiesel research in Southeast Asia using a meta analysis of systematic reviews of 68 publications from Scopus, Web of Science, and ScienceDirect from 2015-2024. The results show that Malaysia leads in publication contributions (32%), followed by Thailand (28%) and Indonesia (18%). The optimal graphite concentration of 50 ppm increases brake thermal efficiency by 8.3% and reduces CO (15.7%), HC (12.4%), and smoke (18.9%) emissions, although there is an increase in NOx (6.8%). Palm oil methyl ester dominated the research (56%). Indonesia has strategic opportunities with abundant feedstock and graphite deposits, but faces challenges in research infrastructure, limited international collaboration, and the absence of an integrated national roadmap. Infrastructure investment, human resource strengthening, and industry academia collaboration are needed to accelerate national biodiesel research.

Hypertension and diabetes mellitus are two highly prevalent non-communicable diseases that often coexist as comorbidities, significantly increasing the risk of cardiovascular complications. The coexistence of these conditions accelerates the onset of atherosclerosis, diabetic nephropathy, and kidney failure, thereby requiring more comprehensive clinical management. One of the key parameters in diabetes management is fasting blood glucose (FBG), which reflects the balance of glucose metabolism after a fasting period. Chronic hyperglycemia is known to contribute to endothelial dysfunction, increased peripheral vascular resistance, and activation of the sympathetic nervous system and renin-angiotensin-aldosterone system, ultimately leading to elevated blood pressure. This study employed a systematic literature review approach, analyzing articles published between 2021 and 2025. Narrative synthesis was conducted across various study designs, including cross-sectional, cohort, and meta-analysis studies. The findings indicate that most studies support a significant association between FBG levels and blood pressure, although some reported varying results. Cohort studies provide stronger evidence that elevated FBG increases the risk of new-onset hypertension. Age, treatment adherence, and lifestyle factors were also identified as confounding variables influencing outcomes. Overall, the evidence highlights that glycemic control through FBG monitoring is essential in managing hypertension among diabetic patients. Multidisciplinary strategies, patient education, and strengthening of primary healthcare services are required to reduce cardiovascular risks. Longitudinal studies are recommended to deepen the understanding of the relationship between FBG and blood pressure and to reinforce the scientific basis for evidence-based clinical interventions.

The objective of this study is to comprehensively examine and analyze the influence of microstructure on the mechanical properties of metallic materials. Microstructure is known to play a crucial role in determining the mechanical behavior of metals; therefore, a thorough understanding of this relationship is essential for the development of engineering materials. This study adopts a systematic literature review approach, employing descriptive analysis and meta-analysis of recent scientific publications obtained from various reputable academic databases. The analysis results indicate that microstructure is a significant determinant of the mechanical characteristics of metallic materials, including strength, ductility, and resistance to deformation. The most influential microstructural parameters include grain size, phase distribution, crystallographic orientation, dislocation density, and the presence and characteristics of precipitates. Among these parameters, grain size has been shown to be the most dominant factor. The Hall–Petch strengthening mechanism demonstrates that grain refinement can increase the tensile strength of materials by approximately 200 to 300 percent. In addition, materials with multi-phase microstructures, such as dual-phase steels and TRIP steels, exhibit an excellent combination of strength and ductility compared to single-phase materials. Based on the meta-analysis results, each metallic material system exhibits a trade-off between strength and ductility, whereby an increase in strength is generally accompanied by a reduction in ductility. These findings indicate that achieving an optimal combination of mechanical properties for specific application requirements necessitates a comprehensive and integrated microstructural engineering approach.

This study presents a meta-analysis of open-access accounting information systems (AIS) literature in Indonesia during the digital transition period of 2015-2025. The primary objective is to identify and map the taxonomy of Independent Variables (X) and Dependent Variables (Y) predominantly used in academic and practical research. Through a systematic review of 15 key accredited articles with Digital Object Identifiers (DOI), this research finds that AIS success determinants (Variable X) have evolved from purely technical factors to integrative clusters encompassing Human Capital (competence, training), Organizational (culture, management commitment), and Technological (infrastructure, internal control) aspects. Meanwhile, Dependent Variables (Y) have shifted from mere technical user satisfaction to strategic impacts such as financial report quality, operational efficiency, and MSME business performance. These findings indicate that AIS research in Indonesia is heavily influenced by public sector regulatory contexts and cloud technology adoption in the MSME sector. This report serves as a reference framework for future researchers to explore emerging variables such as artificial intelligence and cybersecurity behavior within the accounting ecosystem.

This meta-analysis evaluates the effectiveness of Community-Based Rehabilitation (CBR) programs in promoting mental health recovery in communities affected by long-term conflict in the Middle East. Analyzing 47 studies with 12,487 participants published between 2000 and 2024, the research shows significant improvements in mental health, with a large aggregated effect size (g=0.83, 95% CI [0.76, 0.90]). Social support mechanisms were found to mediate 43% of the treatment effect. This study also highlights the importance of culturally adapted CBR, which demonstrated a 27% increase in effect size compared to non-adaptive interventions (g=0.92 vs. g=0.72, p<0.001). Additionally, peer support significantly improved the sustainability of outcomes (OR=2.14, 95% CI [1.87, 2.41]). These findings provide a deeper understanding of the specific factors that contribute to the success of CBR in conflict-affected regions and offer new insights into intervention strategies for mental health recovery.

This meta-synthesis examines in depth the effectiveness of technology-assisted therapy (TAT) in the treatment of war-related trauma through a systematic analysis of 47 empirical studies with a total of 6,842 participants published between 2010 and 2024. The quantitative synthesis indicates that the implementation of TAT demonstrates statistically significant effectiveness in reducing the severity of post-traumatic stress disorder symptoms (d=0.78, 95% CI [0.65, 0.91]), anxiety (d=0.69, 95% CI [0.54, 0.84]), and depression (d=0.72, 95% CI [0.58, 0.86]) among populations affected by armed conflict. Among the various digital modalities, Virtual Reality Exposure Therapy (VRET) exhibits the strongest therapeutic effect (d=0.85) compared with mobile-based intervention (d=0.71) and teletherapy (d=0.68). Further moderator analysis identifies the optimal intervention duration as 12 to 16 weeks, with a significant effect contribution (β=0.34, p<.001) and a relatively moderate dropout rate of 18.7%. These findings extend Tng et al. (2024) by confirming the superiority of VRET and by confirming the significance of therapist support for the effectiveness of TAT (Wu et al., 2025). In contrast to the meta-analysis by Eshuis et al. (2021), which emphasized a single approach, this study reveals that hybrid interventions that integrate multiple digital platforms simultaneously (d=0.89) are superior to single-platform interventions (d=0.67). Overall, the results of this meta-synthesis provide a strong empirical foundation for the development of more comprehensive, adaptive, and contextually relevant TAT protocols for war-related trauma.

Work and energy are important topics in physics learning. Learning on this topic can be done using various methods and media, which provide different results depending on the approach used. This study aims to identify various learning models and media and their influence on learning about work and energy through a meta-analysis of 17 relevant research journals. The results of the study indicate that there are various learning methods that can be applied, including the 7E Learning Cycle, STEM, Problem Solving, Think-Pair-Share, Inquiry, and others. Of these various methods, the inquiry approach is the most widely used because it is relevant to the student-based curriculum that positions teachers as facilitators in developing students' thinking skills and intellectual discipline.

This study investigates whether artificial intelligence (AI) can generate credible accounting research articles. If AI is capable of producing high-quality academic work, the authenticity and reliability of scholarly research could be at risk. Design/methodology/approach – Using ChatGPT, a research paper was generated on a meta-analysis examining the link between sustainability reporting and value relevance. After the initial draft was produced, references were manually inserted based on the citations provided by ChatGPT. The paper was then submitted unchanged for peer review. Findings – The AI-generated paper was of reasonably high quality, receiving two major revisions from independent experts in accounting and finance. While concerns remain about the accuracy of references and the validity of results, there is a possibility that reviewers might deem the paper publishable, as they are not obligated to verify every citation or replicate findings if the methodology appears sound. Originality/value – AI’s role in academic writing is still emerging, and its long-term implications for research integrity remain unclear. This issue is particularly pressing given the rapid advancements in AI technology.

This study rigorously investigates the Ulul Albab spiritual leadership construct and its impact on psychological well-being among campus da'wah activists, employing a Confirmatory Factor Analysis (CFA) approach grounded in both theoretical integration and empirical data. The inquiry draws upon a meta-analysis of 47 quantitative studies encompassing a total of 12,847 respondents from leading universities in Indonesia, Malaysia, and Brunei Darussalam, spanning the years 2018 to 2024. This methodological scope enhances the external validity of the findings. The CFA results confirm that the Ulul Albab spiritual leadership model exhibits a robust level of model fit, as indicated by optimal statistical indices (χ²/df = 2.34; CFI = 0.956; TLI = 0.943; RMSEA = 0.047; SRMR = 0.039), suggesting strong coherence between the theoretical construct and field data. The three core dimensions conceptualized in this model are statistically validated through high factor loadings: intellectual spirituality (0.847), Islamic transformational leadership (0.823), and emotional-spiritual intelligence (0.791), each serving as integral pillars of the Ulul Albab paradigm. Furthermore, structural regression analysis reveals a significant effect of Ulul Albab spiritual leadership on the psychological well-being of da'wah activists (β = 0.673; p < 0.001; R² = 0.453), thereby affirming the model's predictive strength in fostering individual potential rooted in Islamic spiritual values. These findings reinforce the theoretical propositions advanced by Garden, M. (2004), Fry (2003), and Zohar and Marshall (2000) regarding the significance of spiritual leadership within organizational dynamics. However, this study offers a novel conceptual contribution through the epistemological synthesis of the Ulul Albab construct, integrating intellectual and spiritual intelligence within a holistic Islamic framework. Unlike Western-based models of spiritual leadership proposed by Fry and Nisiewicz (2020), the Ulul Albab construct demonstrates a notable advantage in the dimension of intellectual spirituality, as evidenced by its higher factor loading (0.847 compared to 0.634), underscoring the imperative of balancing dzikir and fikir as both ethical and cognitive foundations in contemporary Islamic leadership.

 The instructional leadership of school principals is a strategic factor in improving the quality of education, particularly in shaping teacher performance and professionalism. In the context of modern educational challenges, school principals do not only act as administrative managers but also as educational leaders capable of guiding, mentoring, and developing teachers' capacities. This study aims to identify the influence of instructional leadership on teachers' performance and professionalism, as well as to uncover the dominant leadership strategies used in schools. The research questions addressed are: (1) How does instructional leadership influence teacher performance and professionalism? and (2) What are the dominant instructional leadership strategies in improving education quality? The study method uses a systematic literature review (SLR) approach by searching articles through Google Scholar and Publish or Perish (PoP) using the keyword ‘guided inquiry search.’ Out of a total of 50 articles, five main articles were analysed in depth. The findings indicate that instructional leadership significantly influences teachers' work motivation, self-efficacy, and professional development. The most dominant strategies include academic supervision, strengthening the school's vision, and fostering a collaborative work environment. This study underscores the urgency of strengthening the instructional role of school principals and recommends further studies based on meta-analysis and a cross-national contextual approach.

This study provides a comprehensive synthesis of ten SINTA-accredited journal articles (levels 1–3) published from 2019 to 2024, examining how a low-interest-rate policy environment affects corporate capital structure in Indonesia. We focus on internal determinants (profitability, firm size, asset composition) versus external factors (market interest rates) in shaping firms’ debt ratios. The meta-analysis results indicate that although low interest rates statistically encourage higher leverage (average coefficient +0.28), internal firm characteristics remain the dominant drivers of capital structure decisions. Approximately 80% of studies report that more profitable firms tend to reduce debt ratios, consistent with the pecking order theory. In the post-pandemic context, low rates initially facilitated cheap borrowing, but heightened economic uncertainty underscores the need for managers to align funding strategy with each firm’s risk profile. The study draws practical implications: financial managers should calibrate capital structure in line with profitability and market volatility, while regulators should monitor corporate debt growth to safeguard financial stability. The findings also suggest directions for future research on how evolving macroeconomic conditions influence corporate finance in Indonesia.

Mathematical Problem-Solving Ability (KPMM) is one of the essential skills that must be developed, as it trains students to formulate appropriate solution strategies, understand the meaning of each step, and cultivate systematic thinking habits. One of the tools that can be utilized to support the development of KPMM is the use of Student Worksheets (LKPD). Various studies have demonstrated the effectiveness of using LKPD in improving students' KPMM; however, comprehensive reviews that specifically examine the effectiveness of LKPD based on educational level and the form of LKPD used are still limited. Therefore, this study aims to analyze and synthesize previous research findings on the effectiveness of LKPD in supporting students’ KPMM in terms of educational level and LKPD format through a meta-analysis method. The population and sample of this study consist of journal articles and national conference proceedings selected according to PRISMA guidelines. The results of the meta-analysis show that the use of LKPD has a very strong influence on enhancing students' KPMM, with an effect size of 2.123. Based on educational level, LKPD is proven to be more effective when used at the junior high school level (SMP) compared to the senior high school level (SMA), while in terms of format, digital LKPD is more effective than printed LKPD in supporting students' KPMM.

Mathematical Problem-Solving Ability (KPMM) is one of the essential skills that must be developed, as it trains students to formulate appropriate solution strategies, understand the meaning of each step, and cultivate systematic thinking habits. One of the tools that can be utilized to support the development of KPMM is the use of Student Worksheets (LKPD). Various studies have demonstrated the effectiveness of using LKPD in improving students' KPMM; however, comprehensive reviews that specifically examine the effectiveness of LKPD based on educational level and the form of LKPD used are still limited. Therefore, this study aims to analyze and synthesize previous research findings on the effectiveness of LKPD in supporting students’ KPMM in terms of educational level and LKPD format through a meta-analysis method. The population and sample of this study consist of journal articles and national conference proceedings selected according to PRISMA guidelines. The results of the meta-analysis show that the use of LKPD has a very strong influence on enhancing students' KPMM, with an effect size of 2.123. Based on educational level, LKPD is proven to be more effective when used at the junior high school level (SMP) compared to the senior high school level (SMA), while in terms of format, digital LKPD is more effective than printed LKPD in supporting students' KPMM.

This meta-analysis systematically and comprehensively examines the structural and functional roles of the extended family in moderating the psychological impact of war trauma in the Middle East by compiling data from 47 independent studies involving 12,483 participants published between 2000 and 2023. An analytical approach using a random-effects model revealed that the presence and involvement of the extended family demonstrated a statistically significant moderating effect on the reduction of PTSD symptoms, anxiety, and depression, with an association strength of r = .42 (p < .001). Further meta-regression results indicated that support from the extended family contributed to a 37.8% reduction in PTSD symptoms (β = -.378, SE = .042, p < .001), a 29.4% decrease in anxiety levels (β = -.294, SE = .038, p < .001), and a 31.2% reduction in depressive symptoms (β = -.312, SE = .040, p < .001). Analysis of moderator variables showed that the protective effect of the extended family structure was more pronounced among children (r = .48) compared to the adult population (r = .38) and more salient among females (r = .45) than males (r = .39), indicating demographic sensitivity to the type of collective support received. Moreover, the high heterogeneity across studies (I² = 76.3%) indicated significant contextual and methodological diversity, though it did not obscure the core findings. These results contradict the theoretical emphasis advanced by Nakeyar and Frewen (2016) and Atallah (2017), who prioritized the role of the nuclear family in post-war healing contexts. In contrast, this study found that the extended family configuration has provided a more comprehensive and multidimensional form of psychological protection rooted in the distinct collectivistic values of Middle Eastern societies. Ultimately, these findings expand the conceptual horizon for understanding resilience mechanisms to trauma within non-Western cultural landscapes and open new possibilities for developing extended family-based interventions in the context of post-conflict psychosocial reconstruction.

Through a systematic review and meta-analysis, this research investigates the relationship between spirituality and psychological resilience in the Afghan population. Of the 1,247 identified studies, 47 (N=12,468) met the inclusion criteria. The results of the random-effects model analysis confirm a strong positive correlation between spirituality and psychological resilience (r = 0.64, 95% CI [0.58, 0.70], p < .001). Furthermore, there is significant heterogeneity among studies (I² = 76.3%, Q = 182.45, p < .001). Additionally, moderator analysis reveals that the effect of spirituality on resilience is significantly stronger in Afghan groups experiencing war trauma (β = 0.72) compared to non-traumatized groups (β = 0.51). Meta-regression results indicate that daily spiritual practice accounts for 43.2% of the total variance in psychological resilience among the Afghan community. In comparison to the findings of Salsman et al. (2015) and Schwalm et al. (2022), which reported a moderate correlation between the two variables (r = 0.45-0.52), this study has reinforced the presence of a stronger effect of spirituality on resilience in the context of prolonged conflict, presenting a novel contribution. Lastly, the mediation analysis indicates that the sense of meaning in life mediates the spirituality-resilience relationship in Afghanistan by 67.8% (95% CI [61.2, 74.5]). This research expands upon the findings of Meichenbaum (2008) by identifying specific mechanisms that explain the protective role of spirituality in the context of collective trauma in Afghanistan. Thus, these findings can universally serve as an empirical foundation for developing spirituality-based interventions for trauma recovery in communities affected by prolonged conflict.

This study analyzes the psychological impact of the armed conflict in Yemen by comparing urban and rural populations through a systematic review and meta-analysis of 47 published studies (N=28,463) from 2015 to 2024. The analysis reveals a significantly higher prevalence of PTSD in the urban population (42.8%, 95% CI [39.2-46.4]) compared to the rural population (31.5%, 95% CI [28.1-34.9], p<.001). In addition, multilevel regression analysis indicates a strong correlation between the level of exposure to conflict and the severity of depressive symptoms (r=.68, p<.001) and anxiety (r=.72, p<.001) in both populations. Additionally, when examining specific urban risk factors, calculations indicate that population density (OR=1.86, 95% CI [1.54-2.18]) and loss of infrastructure (OR=1.73, 95% CI [1.45-2.01]) are significant. Moreover, geographic isolation (OR=1.92, 95% CI [1.67-2.17]) and limited access to mental health services (OR=2.14, 95% CI [1.89-2.39]) also demonstrate prominent risk factors, thereby emphasizing the predominance of specific urban risk factors in rural areas. These findings contrast with the research conducted by Le & Nguyen (2023) and Carpiniello (2023), which focused solely on general impacts; thus, the novelty of this research lies in its success in identifying distinct patterns of psychological trauma based on geographic characteristics. In addition, this study successfully reveals the differing mediating mechanisms of social support between urban (β=-.42, p<.001) and rural (β=-.28, p<.01) populations in mitigating the impacts of the Yemeni war trauma.

This meta-analysis evaluates the effectiveness of community-based interventions in addressing complex trauma among children in Gaza through a systematic analysis of 42 studies (N=4,873) published between 2010 and 2024. The findings reveal a significant treatment effect (g=0.78, 95% CI [0.65, 0.91], p<.001) with moderate heterogeneity (I²=68%). School-based interventions demonstrate the greatest effect (g=0.89), followed by family interventions (g=0.76) and peer-group interventions (g=0.65). Furthermore, protocol-based treatment significantly reduces PTSD symptoms (42.3%), anxiety (38.7%), and depression (35.2%) among children in Gaza. Moderator analysis identifies intervention duration (β=0.34, p<.01) and family involvement (β=0.29, p<.01) as significant predictors of successful treatment outcomes for complex trauma. Lastly, meta-regression results indicate a linear relationship between intervention intensity and symptom improvement (R²=0.45, p<.001). These findings expand on previous research by Thompson et al. (2021) and Al-Krenawi (2022) by identifying specific effective intervention components within the Gaza context. Additionally, the discovery that a phased approach integrating community support with protocol-based treatment yields optimal outcomes presents a novel contribution not previously addressed in meta-analyses.