Article
Multidisciplinary Sciences
Akihiro Mine, Sawako Okamoto, Tomoya Myojin, Miki Hamada, Tomoaki Imamura
Summary: While the availability of genetically modified (GM) food has increased worldwide, its acceptance remains low. This study aimed to determine the influence of basic biology education on the acceptance of GM food in Japan. Online questionnaires were distributed to 1,594 people, with 1,122 valid responses obtained. Results showed that the acceptance rates of GM vegetables, fish, and meat were relatively low. High school biology education did not directly affect acceptance of GM foods, suggesting that factors other than education play a role in people's attitudes towards GM foods.
Article
Computer Science, Artificial Intelligence
Jing Li, Qingbao Huang, Yi Cai, Yongkang Liu, Mingyi Fu, Qing Li
Summary: A Topic-level Knowledge aware Dialogue Generation model is proposed to capture context-aware topic-level knowledge information and enhance the topic-coherence, fluency, and diversity of generated responses. By decomposing the Knowledge Graph into topic-level sub-graphs and using a Topic-level Sub-graphs Attention Network, the model outperforms existing strong baselines in experiments on DuRecDial and KdConv datasets.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Agriculture, Dairy & Animal Science
Nusrat Jahan, Muhammad Wasim, Rubaya Rubaya, Kazi Rafsan Radeen, Md. Abdul Alim, M. M. Kamal Hossain, Fatama Tous Zohora, Keshob Chandra Das, Md. Salimullah, Anjuman Ara Bhuyan, Jahangir Alam
Summary: This study investigated the genetic variation of CatSper1 and TNP2 genes in indigenous and crossbred cattle in Bangladesh. Results showed that indigenous cattle only possessed the TT genotype, while crossbred cattle had both TT and CT genotypes. CatSper1 gene was conserved in both breeds, while TNP2 gene was mostly conserved in indigenous breeds and partially conserved in crossbreds.
ANIMAL BIOTECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Deeksha Varshney, Aizan Zafar, Niranshu Kumar Behera, Asif Ekbal
Summary: Smart healthcare systems that leverage health data can enhance healthcare access, reduce costs, and ensure high-quality patient care. We propose a method to improve existing knowledge-grounded dialogue models by incorporating contextual information from dialogues and generating clinically correct responses based on dialogue history.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Junhee Cho, Youngjoong Ko
Summary: Knowledge-grounded dialogue is a task that utilizes external knowledge to generate appropriate responses. In this study, a novel selection model using contrastive learning and negative sampling is proposed to create dialogue-centric representations of knowledge. The model incorporates knowledge selection loss and topic prediction loss to improve similarity between knowledge and dialogue history. The proposed model shows remarkable improvement on knowledge selection and response generation tasks.
PATTERN RECOGNITION LETTERS
(2023)
Article
Ecology
Diane Jarvis, Natalie Stoeckl, Silva Larson, Daniel Grainger, Jane Addison, Anna Larson
Summary: The perceived impact of knowledge-exchange opportunities from Indigenous land and sea management programs is explored through a survey of Indigenous people in northern Australian communities. The findings suggest that these programs provide opportunities for both Western and Indigenous knowledge exchange, with a focus on traditional knowledge. Learning and sharing in these programs have been shown to positively impact wellbeing and improve aspects of life related to self, community, and Indigenous culture.
ECOLOGICAL ECONOMICS
(2021)
Editorial Material
Multidisciplinary Sciences
Walter Leal Filho, Newton R. Matandirotya, Johannes M. Lutz, Esubalew Abate Alemu, Francis Q. Brearley, Anastasia Ago Baidoo, Adolphine Kateka, George M. Ogendi, Girma Berhe Adane, Nega Emiru, Richard Achia Mbih
Summary: Climate change has had a negative impact on the livelihoods of indigenous communities in Africa, but they have also adopted adaptation mechanisms to mitigate the effects.
NATURE COMMUNICATIONS
(2021)
Article
Geosciences, Multidisciplinary
Ayusha Bajracharya, Krishna K. Shrestha, Anthony B. Zwi, Eileen Baldry
Summary: This paper examines the experience of Indigenous women in the disaster recovery process, using a case study of Indigenous Guthi in Nepal's Kathmandu Valley. The study shows that Indigenous women experience fear and anxiety and have limited capacity to influence the recovery process. The government's response has been unsatisfactory, focusing too much on physical reconstruction and neglecting social and cultural recovery. However, Indigenous knowledge, institutions, and cultures have attempted to combine physical and social recovery, addressing the needs of many Indigenous women. The paper highlights the need for a reframing of gendered disasters through understanding knowledge hegemony, challenging tokenistic participation, and changing misguided gender mainstreaming policies and practices in disaster risk reduction.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Deeksha Varshney, Asif Ekbal, Erik Cambria
Summary: This paper focuses on the neural-based interactive dialogue system that aims to engage and retain humans in long-lasting conversations. It proposes a new neural generative model that combines step-wise co-attention, self-attention-based transformer network, and an emotion classifier to control emotion and knowledge transfer during response generation. The results from quantitative, qualitative, and human evaluation show that the proposed models can generate natural and coherent sentences, capturing essential facts with significant improvement over emotional content.
KNOWLEDGE-BASED SYSTEMS
(2024)
Article
Computer Science, Information Systems
Longxuan Ma, Mingda Li, Wei-Nan Zhang, Jiapeng Li, Ting Liu
Summary: This article studies the Unstructured Text Enhanced Dialogue System (UTEDS), which incorporates external knowledge from unstructured text sources. The article provides definitions and summaries of datasets, models, and evaluation methods related to UTEDS. It analyzes the performance of current models and discusses future development trends in this field.
ACM TRANSACTIONS ON INFORMATION SYSTEMS
(2022)
Review
Biodiversity Conservation
Eleanor R. Stern, Murray M. Humphries
Summary: The inclusion of local, expert, or Indigenous knowledge in wildlife research can provide valuable insights and support for wildlife conservation decisions. However, integrating experiential wildlife knowledge with systematic observations presents challenges due to the differences in data type and functionality. This systematic review examines studies that incorporate experiential wildlife knowledge into quantitative analyses of terrestrial vertebrate populations and their habitats, highlighting key challenges and solutions.
BIOLOGICAL CONSERVATION
(2022)
Article
Chemistry, Analytical
Qiang He, Shuobo Xu, Zhenfang Zhu, Peng Wang, Kefeng Li, Quanfeng Zheng, Yanshun Li
Summary: Researchers aim to design a knowledgeable model for dialogue systems using pretrained language models, but these models may still generate bland or inappropriate responses in specific domains and lack interpretability. This paper proposes the KRP-DS model, which incorporates a knowledge graph into the dialogue system and utilizes contextual information for path reasoning and knowledge prediction, leading to enhanced response generation.
Article
Green & Sustainable Science & Technology
Johanna Bergstroem
Summary: This paper examines the role and importance of indigenous knowledge in sustainability, discussing the struggles of indigenous groups in seeking recognition and validation of their knowledge, as well as their efforts to find paths towards socioecological balance. It utilizes decolonial theory in its analysis, highlighting power structures and hierarchies within academia.
Article
Biology
Maria Tengo, Beau J. Austin, Finn Danielsen, Alvaro Fernandez-Llamazares
Summary: Citizen science (CS) is seen as a way to incorporate Indigenous and local knowledge (ILK) in ecosystem stewardship and conservation efforts, which can generate useful knowledge while strengthening ILK systems.
Article
Environmental Sciences
Laura Cameron, Dave Courchene, Sabina Ijaz, Ian Mauro
Summary: In June 2017, the Turtle Lodge Indigenous knowledge centre hosted the Onjisay Aki International Climate Summit, bringing together environmental leaders and Indigenous Knowledge Keepers from 14 Nations worldwide for cross-cultural dialogue on climate change. The Summit highlighted climate change as a symptom of colonialism altering the human condition, emphasizing the need for a shift in values and behaviors to establish a balanced relationship with the natural world. The Knowledge Keepers emphasized the importance of their diverse knowledge and traditions in inspiring and guiding this cultural shift, contributing significantly to the literature on Indigenous knowledge on climate change and its application in research and action.
Article
Public, Environmental & Occupational Health
John R. Broughton, Joyce Te H. Maipi, Marie Person, W. Murray Thomson, Kate C. Morgaine, Sarah-Jane Tiakiwai, Jonathan Kilgour, Kay Berryman, Herenia P. Lawrence, Lisa M. Jamieson
Article
Ethnic Studies
Leonie Pihama, Jenny Lee-Morgan, Linda Tuhiwai Smith, Sarah Jane Tiakiwai, Joeliee Seed-Pihama
ALTERNATIVE-AN INTERNATIONAL JOURNAL OF INDIGENOUS PEOPLES
(2019)
Article
Education & Educational Research
Carl Te Hira Mika, Sarah-Jane Tiakiwai
EDUCATIONAL PHILOSOPHY AND THEORY
(2017)
Article
Ethnic Studies
Sarah-Jane Tiakiwai, Jonathan Timatanga Kilgour, Amy Whetu
ALTERNATIVE-AN INTERNATIONAL JOURNAL OF INDIGENOUS PEOPLES
(2017)