Knowledge graph revision in the context of unknown knowledge.

The role of knowledge graph encompasses the representation, organization, retrieval, reasoning, and application of knowledge, providing a rich and robust cognitive foundation for artificial intelligence systems and applications. When we learn new things, find out that some old information was wrong, see changes and progress happening, and adopt new technology standards, we need to update knowledge graphs. However, in some environments, the initial knowledge cannot be known. For example, we cannot have access to the full code of a software, even if we purchased it. In such circumstances, is there a way to update a knowledge graph without prior knowledge? In this paper, We are investigating whether there is a method for this situation within the framework of Dalal revision operators. We first proved that finding the optimal solution in this environment is a strongly NP-complete problem. For this purpose, we proposed two algorithms: Flaccid_search and Tight_search, which have different conditions, and we have proved that both algorithms can find the desired results.

Peasant perception of beekeeping constraints and practices in large honey production areas in Burkina Faso.

BACKGROUND: In recent decades, agricultural landscapes have been profoundly modified due to the intensification of agriculture, therefore leading to significant disturbances in all components of biodiversity. A survey on the knowledge of beekeeping realities and the use of phytosanitary products in areas of high honey production in Burkina Faso was carried out. Beekeeping realities design the state of beekeeping activities in the study localities. METHODS: The objective of this survey was to characterize Beekeeping operations and to assess the level of knowledge of beekeepers on the effects of the use of phytosanitary products through different beekeeping and agricultural practices. In this sense, 113 farmer beekeepers from the Boucle du Mouhoun, Hauts-Bassins and Nord regions in Burkina Faso were surveyed about their different beekeeping practices. RESULTS: The results obtained indicated that beekeeping is a secondary activity (96.47%) and is mainly practiced by men (90.27%). The respondents have mostly an average of 22 traditional hives. The majority of beekeepers have not received training (84.07%) on the hazards of plant protection products on their beekeeping farms. However, a large amount of beekeepers (70.73%) acknowledged that the use of plant protection products could be harmful to their activity. Hives are usually installed in or near the fields. The plant protection products used for crop protection are herbicides (27%), insecticides (23%), fungicides (8%), but especially mixed (42%). CONCLUSION: The results show that beekeeping in Burkina Faso remains traditional and is practiced for sociocultural reasons. The use of pesticides close to beekeeping could play a role in bee colony collapse taking place in these regions. Training beekeepers on the dangers of the chemicals they use in fields near hives is therefore essential.

Research as resistance: Naming and dismantling the master narrative of "good" science.

The call for psychological science to make amends for "causing harm to communities of color and contributing to systemic inequities" (American Psychological Association, 2022a) requires a critical acknowledgment that science itself is not neutral but a sociopolitical and ideological endeavor. From its inception, psychology used science to produce what was framed as incontrovertible "hard" evidence of racial hierarchy, infallible "proof" that white people (i.e., cismale, heteronormative, and economically resourced white people) were superior to Indigenous and Black people. We first trace the historical links between postpositivist epistemology and the ideology of white supremacy in psychological science, showing that although explicitly racist science (e.g., eugenics) has faded, the widely shared and strictly enforced epistemological norms about what is (and is not) "good" science remain entrenched. We then outline three epistemic imperatives to resist this harmful master narrative: (a) embrace humanizing epistemologies, (b) listen and learn from those who have been systematically left out of science, and (c) recognize resistance as normative and necessary. We discuss how these imperatives, rooted in critical, feminist, and antiracist scholarship, disrupt oppression and guide us toward doing science that does good. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Epistemic exclusion: A theory for understanding racism in faculty research evaluations.

Despite institutional efforts, growth in the number of faculty of color has largely plateaued, limiting research innovation and other benefits of diversity. In this article, we seek to understand structural barriers to faculty equity by (a) detailing a theory of epistemic exclusion within academia and (b) applying the theory of epistemic exclusion to the specific context of faculty departmental reviews of scholarly research (e.g., annual review, promotion and tenure review). Epistemic exclusion is a form of scholarly devaluation that is rooted in disciplinary biases about the qualities of rigorous research and identity-based biases about the competence of marginalized group members. These biases work in tandem to systemically and disproportionately exclude marginalized scholars (e.g., people of color, women) from the academy. In the context of faculty departmental reviews, epistemic exclusion can happen in formal systems of evaluation through criteria, metric, and application exclusion. It can also occur informally during interpersonal interactions and communications through legitimacy, contribution, and comprehension exclusion. In this article, we detail each of these types of exclusion, how they may interact with each other, and their consequences. We assert that epistemic exclusion threatens the diversification of academia and offer suggestions for equitable evaluation practices and reducing epistemic exclusion within higher education broadly. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Knowledge in motion: temporal dynamics of wild food plant use in the Polish-Lithuanian-Belarusian border region.

BACKGROUND: Understanding how Local Ecological Knowledge (LEK) evolves over time is crucial for fostering social and environmental responsibility. This study aims to develop a conceptual model of plant knowledge circulation, providing insights into the temporal dynamics of LEK in the Polish-Lithuanian-Belarusian border region. It explores the key patterns and driving forces behind changes in the use of wild plants for food. METHODS: Field research was conducted in 60 rural settlements across Podlasie Voivodeship (Poland), Vilnius Region (Lithuania), and Hrodna Region (Belarus). This included 200 semi-structured interviews and participant observation among two local communities, Lithuanians and Poles. To assess the temporal dynamics of wild food use, we performed a cross-ethnic, cross-border analysis over time, dividing the data into three major temporal dimensions: past, continuous, and recently acquired uses. RESULTS: Of the 72 wild plant taxa reported by Poles or Lithuanians in the Polish-Lithuanian-Belarusian borderland, 47 were continuously used for food, 58 were utilised in the past, and 41 were recently acquired. Cross-country trends were similar, with Poland showing more past uses. Diachronic comparisons between Poles and Lithuanians in each studied country revealed no significant differences. Recently acquired taxa overlapped considerably with those used continuously and in the past. The most diversely utilised taxa showed the greatest overlaps. By observing the movement of specific plant taxa within various time dimensions, we distinguished overlapping flow variations: retention (3 taxa), decay (11), invention (8), stagnation (17), revitalisation (6), re-invention (3), and knowledge in motion (24). Shifts in the use of wild food plants were influenced by changes in environmental conditions, governmental policies, cultural practices, and economic factors. CONCLUSION: The findings of this study have important implications for improving methods of tracking changes in LEK and enhancing our understanding of the relationship between people and nature. Our results underscore the importance of considering knowledge circulation over time in different directions. Recognising the various stages of knowledge circulation might help in pursuing sustainable solutions that balance the needs of human communities with environmental protection.

How to strengthen societal impact of research and innovation? Lessons learned from an explanatory research-on-research study on participatory knowledge infrastructures funded by the Netherlands Organization for Health Research and Development.

BACKGROUND: Scientific research and innovation can generate societal impact via different pathways. Productive interactions, such as collaboration between researchers and relevant stakeholders, play an important role and have increasingly gained interest of health funders around the globe. What works, how and why in research partnerships to generate societal impact in terms of knowledge utilisation is still not well-known. To explore these issues, the Netherlands Organization for Health Research and Development (ZonMw) initiated an exploratory research-on-research study with a focus on participatory knowledge infrastructures (PKIs) that they fund in the field of public health and healthcare. PKIs are sustainable infrastructures in which knowledge production, dissemination and utilisation takes place via committed collaboration between researchers and stakeholders from policy, practice and/or education. Examples are learning networks, academic collaborative centres, care networks and living labs. The aim of the study was twofold: to gain insights in what constitutes effective collaboration in PKIs; and to learn and improve the research governance, particularly of ZonMw as part of their dissemination and implementation activities. METHODS: During 2020-2022, we conducted a literature review on long-term research partnerships, analysed available documentation of twenty ZonMw-funded PKIs, surveyed participants of the 2021 European Implementation Event, interviewed steering committee members, organized a Group Decision Room with lecturers, and validated the findings with key experts. RESULTS: We identified eight mechanisms ('how and why') that are conditional for effective collaboration in PKIs: transdisciplinary collaboration; defining a shared ambition; doing justice to everyone's interests; investing in personal relationships; a professional organisation or structure; a meaningful collaborative process; mutual trust, sufficient time for and continuity of collaboration. Several factors ('what') may hinder (e.g., lack of ownership or structural funding) or facilitate (e.g., stakeholder commitment, embeddedness in an organisation or policy) effective collaboration in research partnerships. CONCLUSION: To use the study results in policy, practice, education, and/or (further) research, cultural and behavioural change of all stakeholders is needed. To facilitate this, we provide recommendations for funding organisations, particularly ZonMw and its partners within the relevant knowledge ecosystem. It is meant as a roadmap towards the realisation and demonstration of societal impact of (health) research and innovation in the upcoming years.

Standard medical ethnobotany of Kohistan, North Pakistan.

BACKGROUND: This study was exclusively focused on the documentation and cross-cultural evaluation of ethnomedicinal knowledge (EMK) within the diverse linguistic groups of Kohistan situated between the Himalayan and Hindukush Mountain ranges in the north Pakistan. METHODS: Data were gathered during the field survey (May 2022 to July 2023) through group conversations, semi-structured interviews, and on-site observation. Venn diagrams were employed to illustrate the comparative assessment of EMK, and different ethnobotanical indices were utilized to examine the data. RESULTS: A total of 96 wild medicinal plant species (MPs) belonging to 74 genera and 52 botanical families were documented. The most reported MPs belong to the family Polygonaceae (11 species), followed by Asteraceae (9 species) and Lamiaceae (8 species). The ethnomedicinal uses of Leontopodium himalayanum, Pedicularis oederi, Plocama brevifolia, Polypodium sibiricum, Pteridium esculentum, Sambucus wightiana, Solanum cinereum, Teucrium royleanum, Rhodiola integrifolia, Aconitum chasmanthum were reported for the first time in this region. Among the reported taxa herbaceous species were dominated (72%), followed by trees and shrubs (17% and 10%, respectively). Digestive problems (40 taxa and 114 use reports) and skin disorders (19 taxa and 549 use reports) were the most cited disease categories, whereas M. communis, M. longifolia, Ajuga integrifolia, Ziziphus jujuba, and Clematis grata exhibited the highest percentage fidelity levels. Out of 109 documented medicinal uses, a mere 12 were shared across all linguistic groups, and Bateri emerges as a notable outlier with the highest number of medicinal uses. In addition, a significant homogeneity was noted in the reported botanical taxa (61 species) among different linguistic groups. However, since the last decade biocultural heritage of Kohistan is facing multifaceted risks that need urgent attention. CONCLUSION: Our findings could be valuable addition to the existing stock of ethnomedicinal knowledge and may provide ethnopharmacological basis to novel drug discovery for preexisting and emerging diseases prioritizing detailed phytochemical profiling and the evaluation of bioactive potential.

Traditional ecological knowledge for monitoring Anaphalis javanica (DC.) Sch.Bip. (Asteraceae) in Bromo Tengger Semeru National Park, Indonesia.

Traditional ecological knowledge (TEK) possessed by indigenous communities offers a vital source of information regarding the status and threats faced by species. Anaphalis javanica (DC.) Sch.Bip. commonly known as Javanese edelweiss is a culturally significant species in Indonesia's mountainous regions, yet conservation efforts for it remain limited. We utilized TEK to assess the status and threats to the Javanese edelweiss in Bromo Tengger Semeru National Park, Indonesia. The research aims to assess the distribution, abundance, population trends, and threats faced by Javanese edelweiss using TEK. We interviewed 641 individuals from seven Tengger villages near the park to gather data on the distribution, status, and threats facing the Javanese edelweiss, contributing to conservation efforts. Data were analyzed using generalized linear mixed models and ordinal logistic regression. TEK regarding the Javanese edelweiss was extensive, as 96.3% of respondents recognized the plant. A majority (73.2%) had observed Javanese edelweiss in the wild, yet a significant portion (85%) perceived it as "very rare" or "rare." Furthermore, 50% of respondents reported a decline in its population. Variations in sighting frequency, perceived abundance, and population trends across different locations provide crucial insights for identifying priority areas and shaping community-based conservation strategies for Javanese edelweiss. This research underscores the importance of integrating TEK into conservation planning, emphasizing community involvement for effective and sustainable biodiversity conservation.

Foraging for the future: traditional culinary uses of wild plants in the Western Himalayas-Kashmir Valley (India).

BACKGROUND: In the intricate tapestry of food security, wild food species stand as pillars, nourishing millions in low-income communities, and reflecting the resilience and adaptability of human societies. Their significance extends beyond mere sustenance, intertwining with cultural traditions and local knowledge systems, underscoring the importance of preserving biodiversity and traditional practices for sustainable livelihoods. METHODS: The present study, conducted between February 2022 and August 2023 along the Line of Control in India's Kashmir Valley, employed a rigorous data collection encompassing semi-structured interviews, focus group discussions, and specific field observations facilitated through a snowball sampling technique. RESULTS AND DISCUSSION: The comprehensive inventory includes 108 edible plant and fungal species from 48 taxonomic families, with Rosaceae (N = 11) standing out. Young and soft leaves (N = 60) are an important component of various culinary preparations, with vegetables (N = 65) being the main use, followed by fruits (N = 19). This use is seasonal, with collection peaks in March-April and June-August (N = 12). The study also highlights the importance of use value (UV), with Portulaca oleracea standing out as the plant taxon (UV = 0.61), while Asyneuma thomsoni has the lowest use value (UV = 0.15). Many species such as Senecio chrysanthemoides, Asperugo procumbens, Asyneuma thomsoni, and Potentilla nepalensis were classified as new for gastronomic use. Furthermore, the study underlines the great cultural importance of mushrooms such as Morchella esculenta and Geopora arenicola in influencing social hierarchies within the community. However, the transmission of traditional knowledge across generations is declining in the region. At the same time, the conservation of endangered plant species on the IUCN Red List, such as Trillium govanianum, Taxus wallichiana, Saussurea costus, and Podophyllum hexandrum, requires immediate attention. CONCLUSION: Conservation measures should be prioritized, and proactive remedial action is needed. Further research into the nutritional value of these edible species could pave the way for their commercial cultivation, which would mean potential economic growth for local communities, make an important contribution to food security in the area under study, and contribute to scientific progress.

Local knowledge as the basis of disaster management and humanitarian assistance.

Recent policy discourse on the localisation of disaster management and humanitarian assistance lacks attention to the culture, history, and traditions of the Global South. This special issue of Disasters argues that it is imperative to recognise the dynamic, interactive, contested, and negotiated nature of local knowledge. Such local knowledge saves lives by enabling responders to situate ad hoc, one-off events such as disasters in the broader and deeper context of community relationships, thereby providing more appropriate and more effective aid. Through the cases of China, Japan, Indonesia, and the Philippines, this special issue examines such dynamic local knowledge using an analytical framework consisting of three manifestations of local knowledge, namely: social capital; contextual historical memories; and adaptation to new ideas. These three manifestations show the ways in which local knowledge creates local capacity, via which local, national, and international disaster respondents can centre their response coordination, and in turn, demonstrate how local capacity reformulates local knowledge.

On the Efficacy of Indigenous Knowledge Systems in Responding to the COVID-19 Pandemic: Unsettling Coloniality.

Indigenous groups across Africa mobilized Indigenous Knowledge (IK) practices, albeit not without challenges, to respond to the COVID-19 pandemic. Yet Indigenous Knowledge Systems (IKS) continue to be sidelined in formal healthcare policies and programmes. This underscores the urgency to liberate Africa's epistemologies. Employing the decoloniality lens, this paper examined the colonial influences inherent in African responses to COVID-19 while also exploring the role of IKS in the uMkhanyakude District Municipality (UKDM). The argument is made that, in the case of the UKDM, the efficacy of IKS was demonstrated in the response to and fight against the COVID-19 pandemic. This is the basis for the call to embrace and recognize that IKS is a legitimate body of knowledge comparable to Western science. Such recognition paves the way for more equitable, contextually relevant, and sustainable health strategies that can better address the complexities of current and future pandemics.

Prefrontal coding of learned and inferred knowledge during REM and NREM sleep.

Idling brain activity has been proposed to facilitate inference, insight, and innovative problem-solving. However, it remains unclear how and when the idling brain can create novel ideas. Here, we show that cortical offline activity is both necessary and sufficient for building unlearned inferential knowledge from previously acquired information. In a transitive inference paradigm, male C57BL/6J mice gained the inference 1 day after, but not shortly after, complete training. Inhibiting the neuronal computations in the anterior cingulate cortex (ACC) during post-learning either non-rapid eye movement (NREM) or rapid eye movement (REM) sleep, but not wakefulness, disrupted the inference without affecting the learned knowledge. In vivo Ca2+ imaging suggests that NREM sleep organizes the scattered learned knowledge in a complete hierarchy, while REM sleep computes the inferential information from the organized hierarchy. Furthermore, after insufficient learning, artificial activation of medial entorhinal cortex-ACC dialog during only REM sleep created inferential knowledge. Collectively, our study provides a mechanistic insight on NREM and REM coordination in weaving inferential knowledge, thus highlighting the power of idling brain in cognitive flexibility.

Traditional knowledge of wild plants on traditional tools, materials, products and economic practices in southern Yemen.

BACKGROUND: The traditional knowledge in southern Yemen is rich in wild medicinal and food plants, which has been documented in our previous studies. In addition, other significant and general traditional usage for the daily livelihood requirements of local people (beyond medicinal and food plant uses) has not been studied before and needs urgent documentation. METHODS: Ethnobotanical data on of wild plants used by local people in southern Yemen were collected by oral questionnaire interviews. Most informants (n = 1020) were local elderly from 15 different localities in southern Yemen. The local names and non-medicinal and non-food uses of plants were identified and analyzed. RESULTS: The ethnobotanical data resulted various traditional uses of 73 plant species distributed in 28 families. The most represented families were Fabaceae, Asteraceae and Malvaceae. The most growth forms were trees and shrubs. Seven main and common categories of traditional uses were determined and classified as handicraft, health aids, livestock husbandry and beekeeping, economic and commercial plant products, agriculture tools, construction timber and fuel. The most cited species were identified for Ziziphus spina-christi, Vachellia tortilis, Vachellia nilotica, Anisotes trisulcus, Dracaena hanningtonii (Sansevieria ehrenbergii) and Aerva javanica, which have multi-purpose values of traditional usage. Nine major traditional uses of local wild plants were recorded: handicraft, agriculture tools, products aid general health, economic products, construction timber, livestock husbandry, bee keeping, fuel and ornamental. CONCLUSIONS: Despite the challenges on local traditional knowledge of wild plants, it still requested vital to many usages of traditional life and still have an economic value and heritage required of develop the daily livelihood level of the local people especially in rural areas. This includes the traditional uses of wild plants in handicraft skills, tools of agriculture, constructions. The importance of the continuity of traditional industries and their transmission to generations lies in the local population's reliance on local natural resources without relying on external resources in situations such as wars. This is the first study that contributes to documenting and analyzing the indigenous knowledge on traditional general usage of wild plants in southern Yemen.

Ten simple rules to make computable knowledge shareable and reusable.

Computable biomedical knowledge (CBK) is: "the result of an analytic and/or deliberative process about human health, or affecting human health, that is explicit, and therefore can be represented and reasned upon using logic, formal standards, and mathematical approaches." Representing biomedical knowledge in a machine-interpretable, computable form increases its ability to be discovered, accessed, understood, and deployed. Computable knowledge artifacts can greatly advance the potential for implementation, reproducibility, or extension of the knowledge by users, who may include practitioners, researchers, and learners. Enriching computable knowledge artifacts may help facilitate reuse and translation into practice. Following the examples of 10 Simple Rules papers for scientific code, software, and applications, we present 10 Simple Rules intended to make shared computable knowledge artifacts more useful and reusable. These rules are mainly for researchers and their teams who have decided that sharing their computable knowledge is important, who wish to go beyond simply describing results, algorithms, or models via traditional publication pathways, and who want to both make their research findings more accessible, and to help others use their computable knowledge. These rules are roughly organized into 3 categories: planning, engineering, and documentation. Finally, while many of the following examples are of computable knowledge in biomedical domains, these rules are generalizable to computable knowledge in any research domain.

Exploring the power of data mining for uncovering traditional medicinal plant knowledge: A case study in Shahrbabak, Iran.

The present study recorded indigenous knowledge of medicinal plants in Shahrbabak, Iran. We described a method using data mining algorithms to predict medicinal plants' mode of application. Twenty-oneindividuals aged 28 to 81 were interviewed. Firstly, data were collected and analyzed based on quantitative indices such as the informant consensus factor (ICF), the cultural importance index (CI), and the relative frequency of citation (RFC). Secondly, the data was classified by support vector machines, J48 decision trees, neural networks, and logistic regression. So, 141 medicinal plants from 43 botanical families were documented. Lamiaceae, with 18 species, was the dominant family among plants, and plant leaves were most frequently used for medicinal purposes. The decoction was the most commonly used preparation method (56%), and therophytes were the most dominant (48.93%) among plants. Regarding the RFC index, the most important species are Adiantum capillus-veneris L. and Plantago ovata Forssk., while Artemisia auseri Boiss. ranked first based on the CI index. The ICF index demonstrated that metabolic disorders are the most common problems among plants in the Shahrbabak region. Finally, the J48 decision tree algorithm consistently outperforms other methods, achieving 95% accuracy in 10-fold cross-validation and 70-30 data split scenarios. The developed model detects with maximum accuracy how to consume medicinal plants.

[Nursing science put to the epistemological test]. / La science infirmière à l'épreuve de l'épistémologie.

Today, we are witnessing the emergence of a nursing discipline that is clearly seeking to base its legitimacy primarily on science. However, only an epistemological approach can assure us of the relevance of such an approach. While the nursing discipline must unquestionably be based on a rational, scientific approach, can we not nevertheless assume that an irreducible element of mystery will forever remain at the heart of care?

On the embodied nature of knowledge: From neurons to numbers.

Interdisciplinary investigations of the human mind through the cognitive sciences have identified a key role of the body in representing knowledge. After characterizing knowledge at grounded, embodied, and situated levels, number knowledge is analyzed from this hierarchical perspective. Lateralized cortical processing of coarse versus fine detail is identified as a grounding substrate for the population stereotype few/left, many/right, which then contributes to number-related sensory and motor biases at the embodied and situated levels. Implications of this perspective for education and rehabilitation are discussed.

Concept of the knowledge-based city logistics: Problems and solutions.

Efficient city logistics is essential to build smart sustainable cities where inhabitants' well-being is a priority. Meanwhile, despite the great importance of city logistics processes, their improvement is problematic for many cities. Although solutions from the field of emerging technologies are more and more often used, the question is whether implementing technological tools and filling cities with sensors is a sufficient solution that can solve the problems of intensely growing urban freight transport. The aim of the paper is to examine the role of knowledge management in city logistics and identify barriers to the implementation of knowledge-based city logistics. A key element of the research procedure was an expert survey, to which 31 international experts specialising in city logistics issues were invited, characterised by extensive experience working on research projects in the area of interest. Four knowledge management processes have been transferred to the city logistics area. The results of the study show that the difficulties are observed mainly in the processes of data gathering and knowledge acquisition. The main reason for difficulties in that area is the reluctance of city users, retailers, transport and logistics operators to share information. Identifying these processes as the most problematic is a valuable hint for logistics managers, municipalities and academics. To improve knowledge-based city logistics, it is therefore necessary to focus on these processes and look for the best solutions and new forms of organisational and business support. The solution to the problems identified in the study is the proposal to create a city logistics collaborative knowledge base which is a combination of an IT tool - the CL knowledge management platform, and the Freight Quality Partnership.

'Forgotten crises' as forgotten sites of knowledge production for building lasting peace.

'Forgotten crises' constitute a permanent background to any present and future global humanitarian and development efforts. They represent a significant impediment to promoting lasting peace given concurrent catastrophes exacerbated by climate change. Yet, they are routinely neglected and remain unresolved. Building on critical and feminist approaches, this paper theorises them as forgotten sites of local knowledge production. It asks: what is local knowledge of and from forgotten crises? How can it be recovered and resignified, and what lessons can such knowledge provide at the global level? Drawing on examples from the intersections of conflict, disasters, and pandemics in the Philippines, the paper makes a case for valuing local knowledge arising from forgotten crises because of its potential contribution to adapting global humanitarian and development systems to address crises on multiple fronts. Such epistemic margins are generative of vantage points that can present a fuller account of how different crises interact and how best to respond to them.