Examination of Separator Reconnection Rates in a Series of Adjacent Emerging/Existing Active Region Pairs

No abstract availabl

Elementary school educators\u27 opinions about Child Protective Services

This study examined the opinions of public elementary school educators in Western Riverside County towards Child Protective Services (CPS). It also investigated whether their opinions influenced cooperation with CPS surrounding child abuse and neglect. Data was gathered from 196 public elementary school teachers from 12 elementary schools in 3 districts using a quantitative, non-standardized, group-administered questionnaire

Development and Evaluation of Online Approaches for Improved Kinaesthetic Learning in Science

[EN] Kinaesthetic learning is expressed when physical actions are used to connect concept development to reality, for example through model building, trial and error practice, or role-play interactions. Learning through a kinaesthetic modality is highly effective and complementary to other learning modalities. Recent advances in gamification for education have increased access to science simulations and learning online. However, the transfer of offline kinaesthetic techniques to online learning remains under-researched and poorly implemented on affordable, scalable platforms. Here we describe an accessible approach for educators on how to incorporate online kinaesthetic aspects into lessons through use of a scalable and affordable framework developed called the ‘Kinaesthetic Learning System’ (KLS). This framework should be of particular use for learning complex molecular life science topics but can be adapted and modified independently by the educator to address different knowledge levels and for expansion to other disciplines.Scanlan, A.; Kennedy, D.; Mccarthy, T. (2021). Development and Evaluation of Online Approaches for Improved Kinaesthetic Learning in Science. En 7th International Conference on Higher Education Advances (HEAd'21). Editorial Universitat Politècnica de València. 153-161. https://doi.org/10.4995/HEAd21.2021.13146OCS15316

Measuring Context-Word Biases in Lexical Semantic Datasets

State-of-the-art contextualized models eg. BERT use tasks such as WiC and WSD to evaluate their word-in-context representations. This inherently assumes that performance in these tasks reflect how well a model represents the coupled word and context semantics. We question this assumption by presenting the first quantitative analysis on the context-word interaction required and being tested in major contextual lexical semantic tasks, taking into account that tasks can be inherently biased and models can learn spurious correlations from datasets. To achieve this, we run probing baselines on masked input, based on which we then propose measures to calculate the degree of context or word biases in a dataset, and plot existing datasets on a continuum. The analysis were performed on both models and humans to decouple biases inherent to the tasks and biases learned from the datasets. We found that, (1) to models, most existing datasets fall into the extreme ends of the continuum: the retrieval-based tasks and especially the ones in the medical domain (eg. COMETA) exhibit strong target word bias while WiC-style tasks and WSD show strong context bias; (2) AM2iCo and Sense Retrieval show less extreme model biases and challenge a model more to represent both the context and target words. (3) A similar trend of biases exists in humans but humans are much less biased compared with models as humans found semantic judgments more difficult with the masked input, indicating models are learning spurious correlations. This study demonstrates that with heavy context or target word biases, models are usually not being tested for word-in-context representations as such in these tasks and results are therefore open to misinterpretation. We recommend our framework as a sanity check for context and target word biases in future task design and model interpretation in lexical semantics

Supplemental prophylactic intervention for chemotherapy-induced nausea and emesis (spice) trial: Protocol for a multi-centre double-blind placebo-controlled randomized trial

Aim: There is significant recent interest in the role of ginger root (Zingiber officinale) as an adjuvant therapy for chemotherapy‐induced nausea. The supplemental prophylactic intervention for chemotherapy‐induced nausea and emesis (SPICE) trial aims to assess the efficacy by reduced incidence and severity of chemotherapy‐induced nausea and vomiting, and enhanced quality of life, safety and cost effectiveness of a standardised adjuvant ginger root supplement in adults undergoing single‐day moderate‐to‐highly emetogenic chemotherapy. Methods: Multisite, double‐blind, placebo‐controlled randomised trial with two parallel arms and 1:1 allocation. The target sample size is n = 300. The intervention comprises four capsules of ginger root (totalling 60 mg of active gingerols/day), commencing the day of chemotherapy and continuing for five days during chemotherapy cycles 1 to 3. The primary outcome is chemotherapy‐induced nausea‐related quality of life. Secondary outcomes include nutrition status; anticipatory, acute and delayed nausea and vomiting; fatigue; depression and anxiety; global quality of life; health service use and costs; adverse events; and adherence. Results: During the five‐month recruitment period from October 2017 to April 2018 at site A only, a total of n = 33 participants (n = 18 female) have been enrolled in the SPICE trial. Recruitment is expected to commence at Site B in May 2018. Conclusions: The trial is designed to meet research gaps and could provide evidence to recommend specific dosing regimens as an adjuvant for chemotherapy‐induced nausea and vomiting prevention and management.No Full Tex

Prominence Driven Character Animation

This paper details the development of a fully automated system for character animation implemented in Autodesk Maya. The system uses prioritised speech events to algorithmically generate head, body, arms and leg movements alongside eyeblinks, eyebrow movements and lip-synching. In addition, gaze tracking is also generated automatically relative to the definition of focus objects- contextually important objects in the character\u27s worldview. The plugin uses an animation profile to store the relevant controllers and movements for a specific character, allowing any character to run with the system. Once a profile has been created, an audio file can be loaded and animated with a single button click. The average time to animate is between 2-3 minutes for 1 minute of speech, and the plugin can be used either as a first pass system for high quality work or as part of a batch animation workflow for larger amounts of content as exemplified in television and online dissemination channels

Leicester Research A Study in Effective Technology in Education

The LPS Research Team has been tasked with researching and recommending a technology plan for a new school that Leicester Public Schools is planning to build. In this paper, we present an overview of the our goals and our client’s goals, an introduction to industry trends, and discuss our findings based on research conducted via interviews with schools that have undergone similar projects. We also outline the conclusions drawn from this research and our analysis of the data we uncovered, and make specific recommendations for technology to be utilized in Leicester’s new school. Finally, we present a 3-part framework that Leicester Public Schools can use to refresh this data as needed, for this or future educational technology endeavors

Emerging Areas of Science: Recommendations for Nursing Science Education from the Council for the Advancement of Nursing Science Idea Festival

The Council for the Advancement of Nursing Science aims to “facilitate and recognize life-long nursing science career development” as an important part of its mission. In light of fast-paced advances in science and technology that are inspiring new questions and methods of investigation in the health sciences, the Council for the Advancement of Nursing Science convened the Idea Festival for Nursing Science Education and appointed the Idea Festival Advisory Committee (IFAC) to stimulate dialogue about linking PhD education with a renewed vision for preparation of the next generation of nursing scientists. Building on the 2005 National Research Council report Advancing The Nation\u27s Health Needs and the 2010 American Association of Colleges of Nursing Position Statement on the Research-Focused Doctorate Pathways to Excellence, the IFAC specifically addressed the capacity of PhD programs to prepare nursing scientists to conduct cutting-edge research in the following key emerging and priority areas of health sciences research: omics and the microbiome; health behavior, behavior change, and biobehavioral science; patient-reported outcomes; big data, e-science, and informatics; quantitative sciences; translation science; and health economics. The purpose of this article is to (a) describe IFAC activities, (b) summarize 2014 discussions hosted as part of the Idea Festival, and (c) present IFAC recommendations for incorporating these emerging areas of science and technology into research-focused doctoral programs committed to preparing graduates for lifelong, competitive careers in nursing science. The recommendations address clearer articulation of program focus areas; inclusion of foundational knowledge in emerging areas of science in core courses on nursing science and research methods; faculty composition; prerequisite student knowledge and skills; and in-depth, interdisciplinary training in supporting area of science content and methods

Emerging Areas of Nursing Science and PhD Education for The 21\u3csup\u3est\u3c/sup\u3e Century: Response to Commentaries

We respond to commentaries from the American Academy of Nursing, the American Association of Colleges of Nursing, and the National Institute of Nursing Research on our thoughts about integrating emerging areas of science into nursing PhD programs. We identify areas of agreement and focus our response on cross-cutting issues arising from cautions about the unique focus of nursing science and how best to proceed with incorporation of emerging areas of science into nursing PhD programs