16 papers · ranked by Valyu relevance
Yongsu Ahn, Lejun Liao, Benjamin Bach, Nam Wook Kim
Our formative study revealed a significant gap between the static, answer-giving nature of AI chatbots and the dynamic, processoriented guidance of human mentors. To bridge this gap, we operationalized the principles of the CAM and our specific empirical findings into the following set of prompt instructions. DG1…
Sarah R. Prowse, Miriam Brazzelli, Hanne Bruhn, Shaun Treweek
1## Introduction Despite the good intentions of researchers and participants, uninformative trials are studies so poorly conceived or executed that they fail to fulfill their purpose of improving health outcomes . Clinical trial guidance documents issued by funders, regulators, ethics bodies, and other relevant…
Tin Nguyen, Thang T. Truong, Runtao Zhou, Trung Bui + 2 more
Users browsing the web daily struggle to quickly locate relevant information in cluttered pages, complete unfamiliar multi-step tasks, and stay focused amid distracting content. State-of-the-art AI assistants (e.g., ChatGPT, Gemini, Claude) and browser agents (e.g., OpenAI Operator, Browser Use) can answer questions…
Samuel Jacob Chacko, An-I Andy Wang, Lara Perez‐Felkner, Sonia Haiduc + 2 more
Computer Science (CS) departments often serve large student populations, making timely academic monitoring and personalized feedback difficult. While the recommended counselor-to-student ratio is 250:1, it often exceeds 350:1 in practice, leading to delays in support and interventions. We present CS-Guide, which…
Bernard Ayine, Cornelius Fuumaale Suom-Kogle
Background Effective response during global health emergencies hinges on the quality of guidelines provided by authoritative organisations like the World Health Organisation (WHO). This study assessed the quality of WHO emergency guidelines disseminated through the Disease Outbreak News (DONs) platform between 2023 and…
Gemma Hunting, Olena Hankivsky, Ashlee Christoffersen
Background COVID-19 was a catalyst for popularizing intersectionality, an approach now recognized as central to understanding the inequitable consequences of COVID-19 and as a necessary lens for recovery. Yet, a key question remains: Did the pandemic provide the stimulus for improving or advancing operational…
Paul D. McGreevy, David J. Mellor, Rafael Freire, Kate Fenner + 18 more
Title: Simple Summary Negative welfare consequences of the ways animals are managed and used are increasingly being criticised in some sport and production sectors, potentially threatening their social licence to operate. Accordingly, there is a demand for studies aimed at identifying and correcting these welfare…
Lifeng Qiao, He Yan, Gary Liu, Gaoxing Guo + 1 more
IntelliFold-2 is an open-source biomolecular structure prediction model that improves accuracy and robustness through architectural refinement and multiscale structural consistency. We introduce latent space scaling in Pairformer blocks, a principled atom-attention formulation with stochastic atomization, policy-guided…
Ben Knight, Wm. Matthew Kennedy, James Edgell
AI-powered language learning tools increasingly provide instant, personalised feedback to millions of learners worldwide. However, this feedback can fail in ways that are difficult for learners--and even teachers--to detect, potentially reinforcing misconceptions and eroding learning outcomes over extended use. We…
Heather Barrington, Rebecca Craven, Paula R Williamson, Bridget Young
Background It is crucial that the outcomes used in clinical effectiveness studies are relevant to patients. This relevance can be assured by patients participating with other key stakeholders in core outcome set (COS) studies, yet recruiting patients to such studies can be challenging. Objectives As no guidance…
Amrita Ganguly, Aditya Johri, Nora McDonald, Areej Ali + 2 more
With the increased use of generative AI (GenAI) applications such as ChatGPT, higher education institutions (HEIs) have released a range of guidelines and policies to direct adoption within their institutions. In computer science (CS) courses GenAI adoption is especially high and the implications for student learning…
Davis Perez, Sophia Betzler, Patrick Cleeve, Carmela Villegas + 10 more
Cryo–electron tomography (cryo-ET) is a powerful approach for visualizing macromolecular structures directly within cells, but its broader application is limited by the difficulty of reliably targeting specific structures during sample preparation. In particular, capturing small or rare objects within cryo–focused ion…
Omar Ali Saleh Alsaiari, Nilufar Baghaei, Jason M. Lodge, Omid Noroozi + 3 more
Feedback is one of the most powerful influences on student learning, with extensive research examining how best to implement it in educational settings. Increasingly, feedback is being generated by artificial intelligence (AI), offering scalable and adaptive responses. Two widely studied approaches are directive…
Yinqi Huang, Abhilasha Vishwanath, Yu Karen Du, Matthew F Watson + 5 more
Navigation requires estimating heading and transforming these estimates into actions. Prior models explain how self-motion and landmark cues are combined into heading estimates, but less is known about how these estimates are iteratively transformed into motor commands to reach a goal. Here, we hypothesized that…
Michael Wimmer, N. ElSayed, Bruce H. Thomas, Gernot R. Müller-Putz + 1 more
Augmented reality can provide digital information about physical entities presented within its real-world context. However, this information might disagree with the user’s expectations due to factual errors in the data or cognitive biases. Such incongruity can impair user experience and undermine trust in the AR…
Maria A. van Agthoven, Marek Polák, Jan Fiala, Claude Nelcy Ounounou + 8 more
2D MS for Proteomics and Metabolomics Authors: Maria A. van Agthoven, Marek Polák, Jan Fiala, Claude Nelcy Ounounou, Petr Halada, Michael Palasser, Anne Briot-Dietsch, Alan Kádek, Kathrin Breuker, Petr Novák, Carlos Afonso, Marc-André Delsuc Two-dimensional mass spectrometry (2D MS) is a method for tandem mass…