Critical and underrecognized home visitor competencies: Indigenous knowledge, culture, and self-determination in early childhood service delivery

A holistic approach to evaluating climate vulnerability of French Polynesia pearl oyster farming: Bridging communities and scientific knowledge

Abstract: This article is the first to trace the classical, scriptural, and interpretive origins of the partridge-devil motif and its development in early Christian literature up to the fifth century c.e. It argues that while Hippolytus of Rome first associated the partridge with a counter-messianic figure, the antichrist, it was Origen of Alexandria expanding on the work of Hippolytus who first associated the partridge with the devil. As the primary instigator of the motif, Origen draws not only upon a Septuagintal misunderstanding of Jer 17.11 in the Hebrew Bible but also on classical ideas about partridges, especially from the work of Aristotle, Pliny, and possibly Aelian. Although it is not always possible to pinpoint with precision the exact ancient sources they used, early Christian authors seemed to have some knowledge of Greek and Roman traditions about partridges even if they occasionally were ambiguous about what they were drawing from their sources. Origen's innovation shapes later receptions of the partridge-devil motif in four ways: (a) the craftiness and cleverness of the partridge, (b) its association with heretics, (c) the partridge-devil speaking through others, (d) and the partridge-devil as purveyor of same-sex sexual activity. In the work of Ambrose, Augustine, and Jerome, each of these authors shared a core set of source material, and each of them expands and introduces novel interpretations within the context of their own rhetorical aims. What this shows us is that even though this partridge-devil metaphor was widespread, it was not uniform. The development of each author's satanology is influenced by a combination of Jewish scripture, Greek and Roman sources, and their own personal innovation.

Integration of indigenous medicinal knowledge into Kenya's modern health care sector and its conservation: A systematic review

Mechanism of Shenqi Citian Granules in the treatment of acute mountain sickness based on proteomics and serum pharmacochemistry.

Traditional ecological knowledge in volcanic risk governance: Rethinking human–volcano relationships

Integrated LEK, eDNA, and Maxent modeling reveals habitat suitability and conservation priorities for Chinese sturgeon(Acipenser sinensis) in the East China Sea coastal waters

A review of evolving remote sensing and automated techniques in rock glacier mapping

Rural women in developing countries often face significant barriers to employment, income generation, and access to productive resources. In Iran, medicinal plants (MPs) cultivation offers a sustainable pathway toward economic empowerment and livelihood resilience. This study develops and prioritizes strategies to enhance the livelihood sustainability of rural women through MPs cultivation using an integrated SWOT (Strengths – Weaknesses – Opportunities – Threats)–Fuzzy AHP (Analytic Hierarchy Process)–TOWS (Threats– Opportunities – Weaknesses– Strengths) model. Data collected from experts in agricultural and rural development sectors were analyzed to evaluate internal and external strategic factors. The strategic space analysis revealed that internal strengths (0.473) outweighed weaknesses (0.128), while external opportunities (0.325) surpassed threats (0.092), indicating that the favorable strategic space (O + S = 0.798) dominated the risky space (T + W = 0.220). Twelve strategies were formulated and prioritized, among which two emerged as most critical: (1) economic empowerment of rural women through home-based MPs processing enterprises and (2) promotion of greenhouse-based cultivation as a sustainable alternative to wild harvesting. The findings highlight the importance of leveraging indigenous knowledge, improving branding and packaging, and strengthening institutional support to achieve sustainable rural livelihoods. The proposed hybrid framework provides a replicable analytical tool for policymakers to design context-specific interventions linking women's empowerment, biodiversity conservation, and rural economic sustainability.

In your hands (Ezandleni Zakho): A theatre-based approach to engaging embodied indigenous knowledge towards collaborative social action

Ethnobotany, phytochemistry and pharmacological activities of the Blumea Genus: A comprehensive review.

The online version contains supplementary material available at 10.1007/s40200-026-01913-8.

Rutin targets PD-L1 for the treatment of atopic dermatitis: network pharmacological analysis and experimental evidence.

Experiences of the Shieling: A phenomenological study of a Gaelic culture-specific outdoor learning program

Mythology and machine: harnessing the power of traditional knowledge and artificial intelligence for biodiversity conservation in South West Nigeria

Research progress on employing medicinal plants and their active compounds to target autophagic pathways for Parkinson's disease therapy.

ABSTRACT This study examined the integration of Indigenous knowledge in elementary social studies. The issue of integrating Indigenous knowledge into basic education in Africa, particularly in Ethiopia, has not received due attention for a long period of time. Despite its rich Indigenous knowledge (IK), Ethiopia has struggled to integrate it into formal education. The curriculum neglects the potential benefits of integrating Indigenous knowledge into the school syllabus. These issues are especially evident when evaluating junior-level social study education in the Amhara regional state. For this study, the researchers used a concurrent mixed methods approach. This approach enhanced understanding and provided comprehensive insights into the research problem. In addition, it helped to mitigate the limitations associated with each individual method during data collection. Furthermore, a concurrent triangulation design was chosen to fulfill the study’s objectives, as it allowed researchers to give equal weight to qualitative and quantitative data throughout the research process. The major findings of the study revealed divergence in perceptions from teachers interview, with Grade 7 social study teachers reporting a lack of IK representation, lacking effective activities to encourage critical thinking and there is no deeper engagement with Indigenous knowledge concepts in the textbook. In contrast, Grade 8 teachers acknowledged that there are some integrated indigenous knowledge lessons related to Ethiopian culture and traditional practices. Despite recognizing the benefits of integrating IK for students’ cultural understanding and skill development, teachers cited inadequate training as a barrier to effectively teach IK alongside other textbook content.

ABSTRACT Colonial violence is ongoing. It started with the first imperial invasions of Indigenous lands and continues harming communalist ways of life. Indigenous scholars think of the trauma of colonial violence as historical, connecting past, present, and future and wounding the spirits and souls of body-territories. Collective healings are ritual practices that strengthen or restore memories, identities, knowledge, and practices, reconnecting reciprocal relationships across beings and territories and alleviating colonial wounds. As such, collective healings processes support Indigenous resurgence in colonially wounded lands. As Indigenous knowledges, practices, identities, memories, languages, and rituals are strengthened, the body-territory rebalances what colonial violence disrupts.

Traditional ethnobotanical knowledge remains a vital healthcare resource, especially in rural areas of Pakistan. However, rapid modernization and the migration of younger generations threaten the preservation of this indigenous heritage, creating a critical gap for documentation in unexplored regions. While numerous studies exist across Pakistan, the unique floristic diversity of Daulat Nagar situated between the Jhelum and Chenab Rivers, needs to be documented. Field surveys were conducted across five villages in Daulat Nagar, using purposive and snowball sampling to interview 416 respondents through structured and semi-structured forms. Quantitative indices, including Use Value (UV), Relative Frequency of Citation (RFC), Informant Consensus Factor (ICF) and Fidelity Level (FL) were employed to determine the medicinal importance of documented species. Cultural uniqueness and knowledge retention were evaluated using Jaccard's Similarity Index (JSI) and Novelty Percentage (NP). A total of 64 plant species from 31 families were documented during this study. The results revealed that herbs (59%) and leaves (35%) were the most utilized for local preparations, primarily through juice or extract. Pluchea ovalis showed the highest Use Value (UV = 1.01), mainly used for respiratory disorders. Curcuma longa had the highest RFC (0.055) used in skin problems. Gastrointestinal disorders showed the highest consensus (ICF = 0.46). Mentha arvensis and Azadirachta indica had highest FL 96.5% and 91.6%, respectively. Analysis of intergenerational retention revealed that youth (18-28 years) comprised 16.11% of the current study, but ethnobotanical knowledge mainly for complex and specialized treatments was held by the elders aged 49-78 years. Comparative analysis indicated low similarity with other regions (JSI = 4.81 to 37.5%) and high NP values (87.5%), indicating significant novelty, such as the use of Echinochloa crus-galli in diabetes and Phragmites karka for urinary infections. The study confirms that Daulat Nagar possesses a distinct ethnobotanical identity. While home remedies are successfully shared across generations, specialized therapeutic wisdom is concentrated among elders (49-78 years) with 42% retention rate. These findings provide a baseline for drug discovery and underscore the urgent need for conservation strategies to preserve specialized knowledge.

Deep learning classifies medicinal plants, driven by the need to preserve traditional knowledge and automate identification for practical uses. This review extensively summarizes 30 recent studies (2021–June 2025) on applying deep learning, primarily using image data, to classify medicinal plants. This review analyzes research distribution, dataset preparation, image preprocessing, augmentation, and deep learning architectures like convolutional neural networks, Vision Transformers, and hybrid models. Our analysis reveals a strong geographic focus, with 50% of the selected studies originating from India and Bangladesh. The focus is overwhelmingly on leaf imagery, with 29 out of the 30 studies relying on this approach. The field is also characterized by its dependence on existing data, as 56.6% of studies utilized public datasets and another 26.6% employed a hybrid of public and private data, with dataset sizes ranging from a minimum of 637 to a maximum of 13,500 images. Methodologically, the vast majority of studies rely on a transfer learning approach (36.7%), achieving robust accuracy rates between 74% and 99.9%. Furthermore, we recognize significant limitations, such as the absence of standardized and diverse datasets, insufficient inclusion of uncommon or endangered species, and inadequate representation of whole-plant imaging. The research underscores the necessity for collaborative, multidisciplinary initiatives to develop centralized, high-quality, and geographically comprehensive datasets. We delineate prospective avenues, including multimodal feature integration, the development of real-world applications, and optimization for privacy-preserving frameworks such as federated learning. This study guides academics advancing deep learning for medicinal plant classification and biodiversity conservation. Received: 13 September 2025 | Revised: 8 December 2025 | Accepted: 5 March 2026 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. Author Contribution Statement Monir Hossain: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision. Fahmid Al Farid: Validation, Formal analysis, Investigation, Resources, Writing – review & editing, Visualization. Momotaz Begum: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – review & editing, Visualization. Jia Uddin: Conceptualization, Validation, Formal analysis, Investigation, Resources, Writing – review & editing, Visualization, Supervision, Project administration. Hezerul Bin Abdul Karim: Validation, Formal analysis, Investigation, Resources, Writing – review & editing, Visualization, Funding acquisition.