194 research outputs found
Related Data for: Where literacy meets geography: Using talk moves to engage students in geographical data
No full textFrom a perspective of social constructivism, literacy is shaped by social practices (Moje, 1996) and serves the purpose of knowledge construction in a discipline (Moje, 2008). To help students become “geographically literate” (Dolan, 2019) entails equipping them with skills to make sense of and critique geographical data presented in multimodal formats (Roberts, 2014) by creating more space for geographical dialogue in the classroom. This paper first discusses the relationship between talk and students’ ability to analyse and account for geographical data. Using the evidence of a questionnaire
survey, it examines the impact of Talk Moves in supporting dialogic teaching in 3 Singapore’s secondary geography classrooms. Statistics show that Talk Moves helped students improve their analytical skills for geographical data and their ability to articulate answers in a geographical manner. However, more support could be provided to enhance students’ classroom participation and their writing based on geographical data
Related Data for: Thinking and talking like a geographer: Teachers’ use of dialogic talk for engaging students with multimodal data in the geography classroom
No full textGeographical inquiry is an approach to learning that acknowledges the constructivist view of knowledge and prioritises the need for students to make sense of what they are learning for themselves. Alexander (2003; 2008) advanced dialogic teaching as a strategy for eliciting students’ understanding and engaging students in using language as a tool for constructing knowledge. This suggests that the successful use of geographical inquiry as a pedagogy entails learning how to think and talk like a geographer. Geography teachers in Singapore are encouraged to use inquiry-based pedagogies in order to help students understand the nature of disciplinary work in geography and as the main route to knowledge construction (CPDD, 2013; 2014). This chapter draws on a study that examines geography teachers’ language knowledge for content teaching (Morton, 2018) through the use of dialogic talk to guide multimodal data analysis, interpretation, and knowledge construction in geography. Using examples of teachers’ enactment of knowledge in the classroom, we suggest how geography teachers can help students make sense of geographical data through greater attention to language use. We further argue that exploring the qualitative dimension of using dialogic talk as a pedagogic strategy addresses a gap in geography education and contributes to the growing body of work on disciplinary literacy
IMR902912 Supplemental Material1 - Supplemental material for Intravenous transfusion of iron sucrose reduces blood transfusions and improves postoperative anaemia after a second thoracotomy: a propensity-score matching study
No full textSupplemental material, IMR902912 Supplemental Material1 for Intravenous transfusion of iron sucrose reduces blood transfusions and improves postoperative anaemia after a second thoracotomy: a propensity-score matching study by Chentao Luo, Yunqing Shi, Yi Lin, Runhua Ma, Qi Xia and Wenjun Ding in Journal of International Medical Research</p
IMR902912 Supplemental Material2 - Supplemental material for Intravenous transfusion of iron sucrose reduces blood transfusions and improves postoperative anaemia after a second thoracotomy: a propensity-score matching study
No full textSupplemental material, IMR902912 Supplemental Material2 for Intravenous transfusion of iron sucrose reduces blood transfusions and improves postoperative anaemia after a second thoracotomy: a propensity-score matching study by Chentao Luo, Yunqing Shi, Yi Lin, Runhua Ma, Qi Xia and Wenjun Ding in Journal of International Medical Research</p
RETRACTED ARTICLE: Belinostat suppresses cell proliferation by inactivating Wnt/β-catenin pathway and promotes apoptosis through regulating PKC pathway in breast cancer
No full textWe, the Editors and Publisher of the journal Artificial Cells, Nanomedicine, and Biotechnology, have retracted the following article:Pengwei Lu, Yuanting Gu, Lin Li, Fang Wang, Xue Yang & Yunqing Yang (2019) Belinostat suppresses cell proliferation by inactivating Wnt/β-catenin pathway and promotes apoptosis through regulating PKC pathway in breast cancer. Artificial Cells, Nanomedicine, and Biotechnology, 47(1), 3955–3960, DOI: 10.1080/21691401.2019.1671855Since publication, concerns have been raised about the integrity of the data in the article. When approached for an explanation, the authors checked their data and confirmed there are fundamental errors present. Therefore, they have agreed to the retraction of this article. The authors apologise for this oversight.We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’
Correction to: Highly sensitive and robust peroxidase-like activity of Au–Pt core/shell nanorod-antigen conjugates for measles virus diagnosis
No full textAfter publication of the original article [1], an error was noted in the author affiliation. Lin Long is also affiliated to the College of Opto-electronic Engineering, Zaozhuang University, Zaozhuang, China, which is her first affiliation
Leaning to train: Linking financial news articles to company short names
No full textAs a special type of named entity, company name is frequently mentioned in financial news articles, leading to significant necessity on company-oriented information retrieval and management. However, company names are usually mentioned with short names, which are sometimes ambiguous. For example, apple refers in some cases to Apple Incorporation while in other cases to a kind of sweet fruit. This motivates our research on linking financial news articles to company short name, which aims to determine whether a mention in an article is short name of a company. The supervised approach requires labor on annotation of news article that mention the specific company short name. It is rather unpractical as new company short names appear constantly. In this work, we propose a self-contained unsupervised learning framework, which relies on probabilistic topic model to collect training data automatically. Experimental results show that the performance is close to the state-of-the-art supervised approach which relies on human-judged gold standard. ? 2014 IEEE.EI
A Recipe for Watermarking Diffusion Models
No full textDiffusion models (DMs) have demonstrated advantageous potential on generative
tasks. Widespread interest exists in incorporating DMs into downstream
applications, such as producing or editing photorealistic images. However,
practical deployment and unprecedented power of DMs raise legal issues,
including copyright protection and monitoring of generated content. In this
regard, watermarking has been a proven solution for copyright protection and
content monitoring, but it is underexplored in the DMs literature.
Specifically, DMs generate samples from longer tracks and may have newly
designed multimodal structures, necessitating the modification of conventional
watermarking pipelines. To this end, we conduct comprehensive analyses and
derive a recipe for efficiently watermarking state-of-the-art DMs (e.g., Stable
Diffusion), via training from scratch or finetuning. Our recipe is
straightforward but involves empirically ablated implementation details,
providing a foundation for future research on watermarking DMs. The code is
available at https://github.com/yunqing-me/WatermarkDM
Graphene Oxide Wrapped SERS Tags: Multifunctional Platforms toward Optical Labeling, Photothermal Ablation of Bacteria, and the Monitoring of Killing Effect
No full textAs novel optical nanoprobes, surface-enhanced Raman scattering (SERS) tags have drawn growing interests in the application of biomedical imaging and phototherapies. Herein, we demonstrated a novel in situ synthesis strategy for GO wrapped gold nanocluster SERS tags by using a tris(2,2'-bipyridyl)ruthenium-(II) chloride (Rubpy)/GO nanohybrid as a complex Raman reporter, inspired by the role of GO as an artificial receptor for various dyes. The introduction of GO in the synthesis procedure provided systematic solutions for controlling several key parameters of SERS tags, including reproducibility, sensitivity, and colloidal and signal stability. An additional interesting thermal-sensitive SERS property (SERS intensity decreased upon increasing the temperature) was also achieved due to the heat-induced release/redistribution of reporter molecules adsorbed on GO. Combining the synergic effect of these features, we further fabricated multifunctional, aldehyde group conjugated Au@Rubpy/GO SEAS tags for optical labeling and photothermal ablation of bacteria. Sensitive Raman imaging of gram-positive (Staphylococcus aureus) and gram-negative (Escherichia coli) bacteria could be realized, and satisfactory photothermal killing efficacy for both bacteria was achieved. Our results also demonstrated the correlation among the SEAS intensity decrease ratio, bacteria survival rate, and the terminal temperature of the tag-bacteria suspension, showing the possibility to use SERS assay to measure antibacterial response during the photothermal process using this tag.As novel optical nanoprobes, surface-enhanced Raman scattering (SERS) tags have drawn growing interests in the application of biomedical imaging and phototherapies. Herein, we demonstrated a novel in situ synthesis strategy for GO wrapped gold nanocluster SERS tags by using a tris(2,2'-bipyridyl)ruthenium-(II) chloride (Rubpy)/GO nanohybrid as a complex Raman reporter, inspired by the role of GO as an artificial receptor for various dyes. The introduction of GO in the synthesis procedure provided systematic solutions for controlling several key parameters of SERS tags, including reproducibility, sensitivity, and colloidal and signal stability. An additional interesting thermal-sensitive SERS property (SERS intensity decreased upon increasing the temperature) was also achieved due to the heat-induced release/redistribution of reporter molecules adsorbed on GO. Combining the synergic effect of these features, we further fabricated multifunctional, aldehyde group conjugated Au@Rubpy/GO SEAS tags for optical labeling and photothermal ablation of bacteria. Sensitive Raman imaging of gram-positive (Staphylococcus aureus) and gram-negative (Escherichia coli) bacteria could be realized, and satisfactory photothermal killing efficacy for both bacteria was achieved. Our results also demonstrated the correlation among the SEAS intensity decrease ratio, bacteria survival rate, and the terminal temperature of the tag-bacteria suspension, showing the possibility to use SERS assay to measure antibacterial response during the photothermal process using this tag
On Evaluating Adversarial Robustness of Large Vision-Language Models
No full textLarge vision-language models (VLMs) such as GPT-4 have achieved unprecedented
performance in response generation, especially with visual inputs, enabling
more creative and adaptable interaction than large language models such as
ChatGPT. Nonetheless, multimodal generation exacerbates safety concerns, since
adversaries may successfully evade the entire system by subtly manipulating the
most vulnerable modality (e.g., vision). To this end, we propose evaluating the
robustness of open-source large VLMs in the most realistic and high-risk
setting, where adversaries have only black-box system access and seek to
deceive the model into returning the targeted responses. In particular, we
first craft targeted adversarial examples against pretrained models such as
CLIP and BLIP, and then transfer these adversarial examples to other VLMs such
as MiniGPT-4, LLaVA, UniDiffuser, BLIP-2, and Img2Prompt. In addition, we
observe that black-box queries on these VLMs can further improve the
effectiveness of targeted evasion, resulting in a surprisingly high success
rate for generating targeted responses. Our findings provide a quantitative
understanding regarding the adversarial vulnerability of large VLMs and call
for a more thorough examination of their potential security flaws before
deployment in practice. Code is at https://github.com/yunqing-me/AttackVLM.Comment: NeurIPS 202
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