23 papers · ranked by Valyu relevance
Dina Albassam, Kexin Quan, Mengke Wu, Sanika Pande + 2 more
YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: learners must decide what to watch, how videos relate, and how knowledge builds. Existing tools provide partial support but treat planning and…
Kelsey Urgo, Jaime Arguello
Search systems are often used to support learning-oriented goals. This trend has given rise to the "search-as-learning" movement, which proposes that search systems should be designed to support learning. To this end, an important research question is: How does a searcher's type of learning objective influence their…
Pilar Ortiz-Vilchis, Aldo Ramirez-Arellano, Boleslaw K. Szymanski, Jianxi Gao + 2 more
'Jianxi Gao' 'Lu Zhong' 'Xueming Liu'] In this study, learning pathways are modelled by networks constructed from the log data of student-LMS interactions. These networks capture the sequence of reviewing the learning materials by the students enrolled in a given course. In previous research, the networks of successful…
Remya Sankar, Arthur Leblois, Nicolas P. Rougier
Song acquisition and production in songbirds is governed by a dedicated neural circuitry that involves two parallel pathways: a motor pathway for the production and a basal ganglia (BG) pathway for the acquisition. Juveniles learn by imitating adult vocalizations and proceed by trial and error, errors being conveyed by…
Rachel Verheijen-Tiemstra, Anje Ros, Marc Vermeulen, Rob F. Poell
In the field of Human Resource Development (HRD), inclusive leadership is emerging as an innovative approach to leadership development, reflecting the growing importance of collaboration in the evolving work landscape. This study examines the development of inclusive leadership in an interprofessional education…
Haipeng Wan, Rongping Que, Lingna Cheng, Shan Li + 2 more
Introduction The effectiveness of online learning is often hindered by fragmented content organization and limited guidance, leading to reduced student engagement and learning outcomes. Methods This study introduces an activity-enhanced scaffolding for knowledge structure representing that combines dynamic knowledge…
Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang + 1 more
Transfer learning aims to leverage knowledge from pre-trained models to benefit the target task. Prior transfer learning work mainly transfers from a single model. However, with the emergence of deep models pre-trained from different resources, model hubs consisting of diverse models with various architectures…
Jean-Baptiste Gartner, Célia Lemaire, André Côté
Implications for policy makers 1. The Learning Care Pathways (LCP) framework offers a rigorous step-by-step approach to guide policy-makers, managers, and researchers in the structured implementation of care pathways on a national scale for and with the patient. 2. Designed around 13 steps grouped into five main…
Alexandre R. Caitano, Cristine M. G. Gusmão, Sara Dias-Trindade, Ingridy M. P. Barbalho + 10 more
'Ingridy M. P. Barbalho' 'Philippi Sedir G. Morais' 'Gleyson J. P. Caldeira-Silva' 'Manoel H. Romão' 'Janaína L. R. S. Valentim' 'Aline P. Dias' 'Joaquim L. M. Alcoforado' 'Carlos A. P. Oliveira' 'Karilany D. Coutinho' 'Maria C. F. D. Rêgo' 'Ricardo A. M. Valentim'] With syphilis cases on the rise, Brazil declared an…
Melisa Gumus, Michael L. Mack
Fundamental aspects of learning are theorized to be supported by hippocampal pathways: monosynaptic pathway (MSP) extracts regularities whereas trisynaptic pathway (TSP) rapidly encodes exceptional items. Yet, the empirical evidence for the dynamic involvement of MSP and TSP in learning remains elusive. We leveraged…
Jianjun Xiao, Yuxi Long
Internet technologies have expanded higher education students' access to learning resources, peer guidance, and skill-development opportunities beyond formal curricula. Yet the ways students assemble these distributed online resources into coherent learning pathways remain insufficiently understood. This study examines…
Gautam Reddy
Problem-solving and reasoning involve mental exploration and navigation in sparse relational spaces. A physical analogue is spatial navigation in structured environments such as a network of burrows. Recent experiments with mice navigating a labyrinth show a sharp discontinuity during learning, corresponding to a…
Minho Noh, Sungkyung Lee, Sunghyun Kim, Sangsoo Lim
Spatial transcriptomics provides high-resolution insights into tissue architecture and disease progression. While recent computational methods have advanced spatial domain identification, many focus primarily on gene expression alone, which may limit biological interpretability and underexploit complementary data such…
Melissa Parsons, Martina T. Caldwell, Al’ai Alvarez, Dayle Davenport + 4 more
'Moises Gallegos' 'Adaira Landry' 'Michael Gottlieb' 'Sreeja Natesan'] Improving the diversity and representation in the medical workforce requires intentional and deliberate efforts to improve the pipeline and pathway for underrepresented in medicine (UIM) applicants. Diversity enhances educational experiences and…
Authors not listed
The identification of kinetically feasible reaction pathways that connect a reactant to its product, including numerous intermediates and transition states, is crucial for predicting chemical reactions and elucidating reaction mechanisms. However, as molecular systems become increasingly complex or larger, the number…
Chonghuan Zhang, Alexei Lapkin
Computer assisted synthesis planning (CASP) accelerates the development of organic synthesis routes of pharmaceuticals and industrial chemicals. CASP tools are generally developed on the rules or data of synthetic chemistry which include some enzymatic reactions. However, synthetic biology offers a new degree of…
Asia McCleary-Gaddy, Erica Tengyuan Yu, Robert D. Spears, José Carmelo Adsuar Sala
'José Carmelo Adsuar Sala'] There is an emphasis on increasing the diversity of healthcare providers with the goal of reducing health disparities among racial/ethnic minorities. To support this initiative, pathway programs were designed to provide educational and career support to students belonging to racial/ethnic…
Arfa Jabin, Shandar Ahmad
Molecular profiling of tumours via RNA sequencing (RNA-seq) enables clinically actionable stratification but remains costly, tissue-intensive, and time-consuming. Recent advances in computational pathology suggest that routine H&E whole-slide images (WSIs) can be utilized to estimate transcriptomic states of cancer…
Vidhi Kulkarni, Igor Tsigelny, Valentina Kouznetsova
Feline mammary carcinoma (FMC) is a prevalent and fatal carcinoma that predominantly affects unsprayed female cats. FMC is the third most common carcinoma in cats but is still underrepresented in research. Current diagnosis methods include physical examinations, imaging tests, and fine-needle aspiration. The diagnosis…
Denise Slenter, M. Kutmon, Chris T. Evelo, Egon L. Willighagen
Metabolomics data analysis for phenotype identification commonly reveals only a small set of biochemical markers, often containing overlapping metabolites for individual phenotypes. Differentiation between distinctive sample groups requires understanding the underlying causes of metabolic changes. However, combining…
Lucie Denisart, Diana Zapata-Dominguez, Xavier David, Aubin Leclere + 5 more
The manufacturing process of batteries can be complex and time-consuming. We introduce a new version of the digital twin of our lithium ion battery pilot line, Simubat 4.0 Gen-2, based on a new combination of Virtual Reality and Mixed Reality. This digital twin is designed to deliver training on the lithium-ion battery…
Yuanqi Du, Chenru Duan, Andres Bran, Anna Sotnikova + 5 more
Large language models (LLMs) have demonstrated outstanding capabilities in general problem-solving and been shown to improve productivity in certain domains. Thanks to their flexibility, recent work has leveraged them for diverse scientific applications, ranging from predictive modeling, scientific Q&A, and even as…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…