504 research outputs found
Editorial: Women in AI medicine and public health 2022
No full textThe landscape of technology has undergone a dramatic transformation with the widespread adoption and rapid advancement of artificial intelligence (AI). This evolution has had a profound impact on various sectors, reshaping not only the way industries operate but also fundamentally altering the way we perceive and interact with the world around us. In particular, AI are revolutionizing the fields of medicine and public health by offering innovative ways to analyze data, make predictions, improve patient care, and even playing central role in advancing agendas of inclusion and equality. However, gender disparity is still evident within the realms of AI, especially within the context of medicine and public health. Despite their accomplishments, women scientists continue to face gender-specific hurdles, such as navigating their public presence and cultivating secure, inclusive work environments.
This Research Topic from Frontiers in Big Data aims to promote and highlight the research work of women scientists, across the fields of AI in medicine and public health. This Research Topic is part of the Women in Artificial Intelligence series. In each work, the first author or the last author needs to be a woman researcher. Each paper underwent a rigorous review process, involving at least two reviewers and two rounds of thorough revisions before acceptance. Six articles were selected that comprise four original research, one brief research report, and one study protocol. Listed below are the papers that made important contributions to this Research Topic
MAINTAINABILITY GUIDELINES FOR PNEUMATIC WASTE CONVEYANCE SYSTEMS IN SINGAPORE
No full textBachelor'sBACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT
Towards an AI policy framework in scholarly publishing
No full textGenerative artificial intelligence (AI) tools are rapidly transforming scholarly research. To harness their benefits while minimizing potential pitfalls, robust policies are urgently needed. In analyzing AI policies for authors and reviewers from major publishing organizations and leading journal groups, we found not only marked inconsistencies in permitted usage and reporting requirements, but also a general lack of clarity or guidance on ethical principles, transparency, and reproducibility. Furthermore, the restrictions set by these policies are largely unenforceable. To establish ethical norms and best practices, we propose a pragmatic, enabling principle that encourages authors to produce their best work with AI assistance, emphasizing responsible disclosure over unenforceable restrictions. Building on this principle and the strengths of existing policies, we offer ready-to-use author and reviewer policy templates. When AI systems are used beyond typical editing services, authors should report details of the tool, its usage, generated content, and prompts. Reviewer policies should articulate confidentiality risks. Our analysis and policy templates offer a roadmap for building consensus and best practices for the responsible integration of AI into scholarly routines, thereby accelerating discovery without compromising academic integrity
Data-Centric Green AI: An Exploratory Empirical Study
No full textWith the growing availability of large-scale datasets, and the popularization
of affordable storage and computational capabilities, the energy consumed by AI
is becoming a growing concern. To address this issue, in recent years, studies
have focused on demonstrating how AI energy efficiency can be improved by
tuning the model training strategy. Nevertheless, how modifications applied to
datasets can impact the energy consumption of AI is still an open question. To
fill this gap, in this exploratory study, we evaluate if data-centric
approaches can be utilized to improve AI energy efficiency. To achieve our
goal, we conduct an empirical experiment, executed by considering 6 different
AI algorithms, a dataset comprising 5,574 data points, and two dataset
modifications (number of data points and number of features). Our results show
evidence that, by exclusively conducting modifications on datasets, energy
consumption can be drastically reduced (up to 92.16%), often at the cost of a
negligible or even absent accuracy decline. As additional introductory results,
we demonstrate how, by exclusively changing the algorithm used, energy savings
up to two orders of magnitude can be achieved. In conclusion, this exploratory
investigation empirically demonstrates the importance of applying data-centric
techniques to improve AI energy efficiency. Our results call for a research
agenda that focuses on data-centric techniques, to further enable and
democratize Green AI.Comment: 11 pages, 3 figures, 2 tables. Accepted at the 8th ICT for
Sustainability Conference (ICT4S) 202
Immunosuppressive effects of clozapine and haloperidol: enhanced production of the interleukin-1 receptor antagonist
No full textThere is some evidence that antipsychotic drugs may have immunosuppressive effects. This study examined the in-vitro effects of different concentrations of antipsychotic agents on cytokine production by human whole blood
[[alternative]]The life story of an expert teacher in early childhood education
No full text[[abstract]]The life story of an expert teacher in early childhood education
Abstract
By the methodology of life story research, this study is conducted for the life of well-known expert teacher of preschool, Madam Su Ai-Chu, with her 70 year-old history.
The purpose of this study is to explore the life story of Madam Su, trying to clarify the relationship between her life path and social cultural context, and to realize how the path models herself and the way she is now.
The methods in the study include interviews, document and archive search, observation, etc. to obtain the information needed.
The main findings in the study are followed,
1. The certain period of history is given as the background for Madam Su’s development on her profession and career.
2. “Others” is the important factor in Madam Su’s professional life.
3. Childhood experience is the critical factor to Madam Su’s career development.
4. “Positive interpretation and facing toward challenge bravely” is one of the most important attitudes for Madam Su to face the difficulties that enhances her professional development.
In the end of the study, the suggestions for further study and preschool personnel are listed and mentioned.
Key words: life history, life story, expert preschool teacher,
professional development.
Metabolic and Vascular Imaging Biomarkers for Brain Aging and Alzheimer’s Disease
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Resonance as a Design Strategy for AI and Social Robots
No full textResonance, a powerful and pervasive phenomenon, appears to play a major role in human interactions. This article investigates the relationship between the physical mechanism of resonance and the human experience of resonance, and considers possibilities for enhancing the experience of resonance within human–robot interactions. We first introduce resonance as a widespread cultural and scientific metaphor. Then, we review the nature of “sympathetic resonance” as a physical mechanism. Following this introduction, the remainder of the article is organized in two parts. In part one, we review the role of resonance (including synchronization and rhythmic entrainment) in human cognition and social interactions. Then, in part two, we review resonance-related phenomena in robotics and artificial intelligence (AI). These two reviews serve as ground for the introduction of a design strategy and combinatorial design space for shaping resonant interactions with robots and AI. We conclude by posing hypotheses and research questions for future empirical studies and discuss a range of ethical and aesthetic issues associated with resonance in human–robot interactions.Design AestheticsHuman Information Communication Desig
[[alternative]]Research for safe driving on the Number One highway ─ For example:The central controlling system
No full text[[abstract]]Abstract：
This research is based on the highway from the 100KM mark to the 251KM mark, or, the transportation system from Hsin-Chu to Da-lin, and to process and discuss in regards to the safety policies, route management, traffic controlling system and equipment and AI management.
Here is the goal for this essay, as below:
1. To review the safety and policies of highways in Taiwan.
2. To suggest and advise on the present state of the route controlling systems and maintenance condition.
3. To revue the achievements and management of our highway central traffic system.
4. To provide the development and use of our traffic control system and AI management.
Keywords: Number One Highway, central traffic control system, the polities for transportation safe, route management, AI management.
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