Abstract This study examines the socioeconomic impacts of the March 2024 earthquake on household resilience in Bawean Island, East Java, Indonesia. Data for this study were collected through a survey with a snowball sampling technique, with a total of 221 valid respondents from affected regions. Using a household survey across 12 affected villages and partial least squares-structural equation modeling (PLS-SEM), the study identifies critical factors contributing to household resilience, namely social, economic, human, and physical capital assets. The findings can be explained in two ways. First, the result confirms social, economic, human, and physical capital as critical resilience determinants. Second, higher household resilience could reduce the impact of natural disasters. This study can be an input for policymakers to strengthen household resilience in disaster-prone areas to support sustainable development goals (SDGs).
Sustainable tourism villages face complex governance challenges because they must simultaneously support economic development, protect local culture, preserve ecological resources, and respond to changing social conditions. Existing studies have examined sustainable tourism governance mainly from administrative, community-based, or institutional perspectives, but less attention has been given to how distributed authority interacts with nonlinear adaptive dynamics in village-level governance systems. To address this gap, this study develops an integrated framework that combines polycentric governance theory and chaos theory. Using a quantitative explanatory design, survey data were collected from 590 stakeholders involved in tourism village governance across four regencies and one city in Yogyakarta Province, Indonesia. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). The findings indicate that institutional diversity has the strongest association with sustainable tourism village governance, followed by decentralization and local autonomy, bifurcation and cosmology, community participation, flexibility and adaptability, edge of chaos and the butterfly effect, and self-organization and strange attractors. The model yields a very high coefficient of determination, which suggests a close within sample fit between the proposed constructs and the observed perception data. This result is interpreted cautiously because the study is cross-sectional and several constructs are conceptually proximate. The study contributes to governance theory by showing that sustainable tourism village governance can be understood as both polycentric and complex-adaptive. Practically, the findings suggest that policymakers and tourism village managers should strengthen multi-actor coordination while maintaining flexibility to respond to uncertainty and local change.
Marine bacteria represent a prolific source of structurally diverse and pharmacologically potent natural products, many of which exhibit promising anticancer properties. This bibliometric review systematically maps the landscape of marine bacteria-derived anticancer research, integrating insights from structural elucidation, bioactivity screening, and genomic exploration. Advanced analytical techniques such as nuclear magnetic resonance spectroscopy, mass spectrometry, and X-ray crystallography have enabled the identification of novel compounds with cytotoxic activity, while in vitro assays and in silico modeling have accelerated pharmacological profiling and mechanism-of-action studies. Concurrently, molecular tools including 16S rRNA sequencing, metagenomics, and genome mining have expanded our understanding of marine microbial diversity and biosynthetic gene clusters, revealing underexplored taxa with therapeutic potential. Synthetic biology and biosynthetic pathway engineering further enhance compound accessibility, addressing limitations in natural extraction yields. Moreover, overlapping mechanisms of action present an opportunity to simultaneously assess cytotoxic, antifungal, antimicrobial, and antioxidant activities, enabling the identification of multifunctional compounds with broad therapeutic potential. By combining bibliometric analysis with thematic synthesis, this study highlights emerging trends, key contributors, and future directions in marine bacterial anticancer research, underscoring the importance of interdisciplinary approaches in unlocking the pharmaceutical potential of marine microbiomes.
Leersia hexandra, a perennial grass widely distributed in rice agroecosystems, presents a striking ecological paradox. It is simultaneously recognized as an asymptomatic reservoir for Xanthomonas spp. the causal agent of Bacterial Leaf Blight (BLB), and as a potent ecoremediation agent capable of hyperaccumulating heavy metals such as chromium. This hypothesis-driven systematic review, conducted in accordance with PRISMA guidelines, addresses this dual identity by integrating findings from phytopathology and environmental sciences through the lens of the cross-tolerance hypothesis. We propose that the physiological mechanisms enabling tolerance to chronic abiotic stress also modulate the plant’s interaction with biotic pathogens. Based on a synthesis of 30 primary studies, we suggest that the physical traits of L. hexandra (e.g., iron plaque formation) and its internal biochemical defenses, primed by long-term abiotic exposure, may create a tightly regulated host–pathogen equilibrium. This containment does not eliminate the pathogen but may allow sustained, asymptomatic colonization, positioning L. hexandra as a potential cryptic reservoir. The very traits that enable pollutant remediation may inadvertently facilitate pathogen survival, rendering this species a persistent “green bridge” for BLB epidemics. These findings highlight the need for integrated management strategies that reconcile environmental resilience with disease risk and invite experimental validation of the proposed framework.
This study investigated the effects of composition of carbohydrate, protein, and fiber fractions-individually and in mixtures-on anaerobic digestion (AD) performance using an integrated kinetic, statistical, and metagenomic framework. Batch AD experiments were designed according to the augmented simplex centroid protocol for three components. Time-resolved profiles of chemical oxygen demand (COD), volatile fatty acids (VFAs), and biogas yields (CH4 and CO2) were analyzed using a Contois-based kinetic model to quantify acidogenic and methanogenic parameters. Mixture regression modeling was employed to resolve the individual and interactive contributions of substrate fractions to process yields and kinetic constants. Microbial community dynamics were elucidated through metagenomic analysis of bacterial and archaeal populations. The results demonstrated that substrate composition exerts a statistically significant influence on both reaction kinetics and methane yield. Carbohydrate-rich systems exhibited high acidogenesis rates but were prone to VFA accumulation and reduced methane conversion efficiency. Protein-containing systems showed elevated VFA and CO2 production, consistent with amino acid fermentation and ammonia-related inhibition. In contrast, fiber-dominant and balanced ternary systems achieved superior COD removal, stable VFA turnover, and the highest methane yields. Regression analysis identified fiber as the primary positive contributor to methane yield, while negative interaction terms explained yield suppression in rapidly fermentable or nitrogen-rich mixtures. Metagenomic data revealed that fiber-rich systems favored syntrophic bacterial consortia and hydrogenotrophic methanogens, underpinning their kinetic stability and enhanced methane production. This study provides mechanistic insights and quantitative tools for rational feedstock design, supporting the development of robust, high-efficiency AD systems for diverse organic waste streams.
