Without Land and Water in Wallmapu (Ancestral Mapuche Territory): Exploring Causal Relationships and Perceptions in the Chol-Chol Watershed, La Araucanía, Chile

From a multi-variate database, causal relationships regarding water scarcity for human consumption in the Chol-Chol River basin were identified. The relationships were examined using the principal component analysis (PCA) statistical technique, and digital coverage was processed with ArcGIS 10.1, allowing for the construction of different thematic maps. Semi-structured interviews were conducted with various local actors, including Mapuche community leaders or lonkos (chiefs in the Mapudungun language) and local planners. The models with the greatest statistical significance are associated with the variables that measure land use changes between 2013 and 2017, particularly native forest and agricultural crops. In areas with greater changes in land use, there is less water availability and greater drinking water distribution by tanker trucks. A group of three models with the best goodness of fit (statistically significant) were identified. The models are related to the replacement of native forests with forest plantation (monoculture) and overexploitation of groundwater for irrigation. This model also links lower native vegetation cover in the southeastern part of the basin to agricultural uses on arable land, which is of higher quality than land in the north, and to lower drinking water consumption. The historical occupation processes of the Araucanía region (Wallmapu), the public policies of land and water (water emergency zone), climate change (decreases in flow and precipitation and increases in temperatures) are some of the driving forces behind land use change and water availability observed. An important innovation of this work has been the realization and discussion of the interviewees’ perceptions, showing different perspectives on a common problem; water scarcity. The interviews reveal diverse responses to the research question: What are the main variables related to the lack of water in Mapuche territory? The perception of Mapuche lonkos is that the lack of water is mainly associated with the rapid expansion of forest plantations. Local planners in the municipalities share a similar opinion.

Parental Warmth and Adolescents’ Meaning in Life: Mediator of Perceived Control and Moderator of Relative Deprivation

This study establishes a moderated mediation model that incorporates the roles of perceived control and relative deprivation. Specifically, we hypothesized that parental warmth positively predicts adolescents’ meaning in life, with perceived control mediating this relationship. Furthermore, relative deprivation moderates both the direct effect of parental warmth on meaning in life and the indirect effect through perceived control. A total of 406 adolescents participated in this study. The results revealed that: (1) parental warmth positively related to adolescents’ meaning in life; (2) perceived control significantly mediated the relationship between parental warmth and meaning in life; and (3) relative deprivation moderated the association between parental warmth and perceived control, such that higher levels of relative deprivation attenuated the positive effect of parental warmth on perceived control. These findings contribute to a deeper understanding of the psychological mechanisms linking parental warmth to adolescents’ meaning in life and provide valuable insights for interventions aimed at fostering meaning development in youth.

Enhancing Streamflow Forecasting in Major West African Rivers by Utilizing Meta-Heuristic Algorithms and Climate Data Time Lag Analysis

Accurate streamflow prediction is essential for irrigation planning, water allocation, and flood risk management, particularly in water-scarce regions like the Niger River Basin. However, the complexity of hydrological processes and data limitations make reliable predictions challenging. This study optimizes Support Vector Machine (SVM) hyperparameters for daily streamflow prediction using time-lagged climate data and four metaheuristic algorithms—Binary Slime Mould Algorithm (BSMA), African Vulture Optimisation Algorithm (AVOA), Archery Algorithm (AA), and Intelligent Ice Fishing Algorithm (IIFA). Model performance was assessed using eight evaluation metrics, with results showing that AA and IIFA consistently outperform the others, achieving Nash-Sutcliffe Efficiency (NSE) values between 0.986–0.999 and 0.893–0.999, respectively. AVOA and BSMA show less consistent performance, with NSE ranges of 0.524–0.999 and 0.863–0.965, respectively. The study highlights the novel integration of multiple metaheuristic algorithms for optimizing machine learning models, offering insights into their effectiveness for hydrological prediction. By demonstrating the superior performance of AA and IIFA, this research provides a robust framework for enhancing long-term streamflow forecasting. These findings support improved water resource management in West Africa, helping policymakers address climate variability, water scarcity, and hydrological uncertainty.

Sex Estimation Using Bare Footprint Dimensions: A Review of Literature

In forensic podiatry, bare footprints are considered an essential evidence element. The anthropometric and morphological study of the footprints takes into account both quantitative and qualitative features. Predictions of sexual dimorphism from bare footprints are deemed effective, pertaining to the fact that the overall body structure of humans influences the actual foot size. In the current review, 11 research articles have been identified that have exclusively focused on sex estimation from bare footprint dimensions across diverse demographic groups worldwide. The study found analytical techniques such as sectioning points, regression analysis, discriminant function analysis, and machine learning models have been used for sex estimation. The studies under review infer that different populations and best predictors have varying degrees of accuracy when compared to predicting sex from footprints. By pointing out that machine learning approaches are more accurate than traditional analytical methods, the study promotes their use in sex estimation from footprint dimensions for improving accuracy and analyzing large and complex datasets.

Advancements in Flexible Ceramic Fibers for High-Temperature Applications: A Comprehensive Review

Flexible ceramic fibers (FCFs) have emerged as a highly promising material for high-temperature applications, effectively combining the excellent thermal stability of ceramic materials with the robust mechanical properties of flexible fibers. This review provides a comprehensive overview of recent advances in multifunctional FCF devices, focusing on innovative methods across material selection, structural design, and fabrication techniques to enhance their functional properties. These improvements, i.e., mechanical strength, thermal conductivity, and oxidation resistance, make FCFs particularly suitable for a wide range of applications, including energy storage, sensing, and high-temperature filtration. Notably, advancements in fabrication techniques have enabled the creation of novel FCF devices for thermal insulation and high-temperature sensing, such as stretchable ceramic membranes and printable ceramic fiber papers. The review concludes by discussing the future potential of FCFs, especially in multifunctional applications in high-temperature environments, where they can serve as essential components of advanced technologies. This work highlights the versatility and potential of FCFs as a transformative material for next-generation high-temperature applications.

Efficient Extracellular Production of Phospholipase D in Escherichia coli via Genetic and Process Engineering Modification

Phospholipase D (PLD) is the key enzyme in the catalytic production of rare phospholipids including phosphatidylserine. It was considered a promising method via genetic manipulation for the heterologous production of PLD in the model chassis. Few works focused on the extracellular production of PLD in engineered microbes. Herein, genetic and process engineering modification strategies were developed to achieve secretory production of PLD in Escherichia coli. The N-terminal fusion secretion signal peptide OmpA and the plasmid pBAD-gⅢC with pBAD promoter were proven to be the most effective in promoting the secretory production of PLD. Given the limitation of the cell membrane, the regulation of the key protein expression in the cell membrane as well as the addition of surfactants, were explored to accelerate the secretory production of PLD further. It was indicated that adding 0.5% (w/v) Triton X-100 was more conducive to producing PLD. Finally, fed-batch fermentation was conducted, and the maximum extracellular PLD activity achieved was 33.25 U/mL, which was the highest level reported so far. Our work demonstrated the effectiveness of genetic and process engineering strategies for the secretory production of PLD in E. coli, which provided an alternative platform for the industrial production of PLD.

Virtual Spaces of Islamic Preaching: Digital Majelis Taklim and the Changing Role of Women in Indonesia

This study investigates the changing role of women in digital da’wah and the digital transformation of Majelis Taklim (Islamic study groups) in Indonesia. As digital platforms like YouTube, Instagram, WhatsApp, Telegram, and TikTok become more widely used, this study explores how women negotiate power, shape religious discourse, and interact with audiences online. The study employs a qualitative approach using digital ethnography and critical discourse analysis (CDA) to examine the interactions and narratives shaping women’s roles in digital da’wah. Data were collected through digital observations, in-depth interviews with female preachers (ustazah), moderators, and active participants, and content analysis of Majelis Taklim sessions on social media. The study applies Fairclough’s CDA to analyze power relations within religious discourse and Van Dijk’s Critical Discourse Studies (CDS) to examine how digital da’wah reconstructs female religious authority. The results reveal a shift in women’s roles from passive participants to active producers of religious discourse. While digitalization provides broader access and participation opportunities, female preachers still face challenges in establishing religious authority, particularly in male-dominated Islamic discourses. The study finds that key themes in women-led da’wah include Islamic parenting, hijrah (religious transformation), Islamic economy, and women’s roles in Islam. Digital platforms do provide female scholars more prominence, but they also perpetuate patriarchal interpretations of religious norms. By combining digital ethnography, critical discourse analysis, and religious studies, this work adds to the conversation on Islam, gender, and digital religious practices. It shows how digital media influences women’s involvement in da’wah by presenting opportunities and limitations. Unlike other studies concentrating on male religious authority in digital da’wah, this research offers a thorough, empirical, and theoretical examination of how women manage religious influence and legitimacy online. The findings have implications for developing inclusive, digital-based Islamic education and policymaking on religious discourse in the digital era.

Research on the Logic of Mobile Governance from the Perspective of Path Dependency: A Case Study of the Implementation of the “Coal-to-Gas” Policy in Rural Areas of Handan

Mobile governance, a commonly used governance approach in China, has always been controversial. Behind the persistence of mobile governance lies the underlying governance logic. This paper takes the implementation of the “coal-to-gas” policy in rural areas of Handan as a case study to analyze the path-dependent logic inherent in mobile governance. The paper argues that mobile governance’s selection path embodies path dependency characteristics, including three paths: conformist path dependency, policy-based path dependency, and demand-based path dependency. Mobile governance can be regulated through three paths: formulating a comprehensive list of rights and responsibilities for grassroots governance, the provincial government enacting relevant regulations to standardize the grassroots governance process, and vigorously developing e-government and digital government technologies to enhance the rule of law and standardization in grassroots governance.

Evaluating a Motion-Based Region Proposal Approach with Background Subtraction Methods for Small Drone Detection

The detection of drones in complex and dynamic environments poses significant challenges due to their small size and background clutter. This study aims to address these challenges by developing a motion-based pipeline that integrates background subtraction and deep learning-based classification to detect drones in video sequences. Two background subtraction methods, Mixture of Gaussians 2 (MOG2) and Visual Background Extractor (ViBe), are assessed to isolate potential drone regions in highly complex and dynamic backgrounds. These regions are then classified using the ResNet18 architecture. The Drone-vs-Bird dataset is utilized to test the algorithm, focusing on distinguishing drones from other dynamic objects such as birds, trees, and clouds. By leveraging motion-based information, the method enhances the drone detection process by reducing computational demands. Results show that ViBe achieves a recall of 0.956 and a precision of 0.078, while MOG2 achieves a recall of 0.857 and a precision of 0.034, highlighting the comparative advantages of ViBe in detecting small drones in challenging scenarios. These findings demonstrate the robustness of the proposed pipeline and its potential contribution to enhancing surveillance and security measures.

Hepatic Stellate Cell Phenotypes in Metabolic Dysfunction-Associated Steatohepatitis (MASH)