Curiosity benefits memory for target information and may also benefit memory for incidental information presented during curiosity states. However, it is not known whether incidental curiosity-enhanced memory depends on or is affected by the valence...
Human adipose-derived stromal/stem cells (hASC) are widely used for in vitro modeling of physiologically relevant human adipose tissue. These models are useful for the development of tissue constructs for soft tissue regeneration and 3-dimensional (3...
Acute and chronic skin wounds due to burns, pressure injuries, and trauma represent a substantial challenge to healthcare delivery with particular impacts on geriatric, paraplegic, and quadriplegic demographics worldwide. Nevertheless, the current st...
Introduction: Adipose derived stromal/stem cells (ASCs) hold potential as cell therapeutics for a wide range of disease states; however, many expansion protocols rely on the use of fetal bovine serum (FBS) as a cell culture nutrient supplement. The c...
Tissue engineering is a promising approach for the repair and regeneration of cartilaginous tissue. Appropriate three-dimensional scaffolding materials that mimic cartilage are ideal for the repair of chondral defects. The emerging decellularized tis...
Female breast cancer accounts for 15.2% of all new cancer cases in the United States, with a continuing increase in incidence despite efforts to discover new targeted therapies. With an approximate failure rate of 85% for therapies in the early phase...
Cellulose nanofibrils (CNFs) and TEMPO-oxidized cellulose nanofibrils (TOCNFs) are hydrated, high-aspect-ratio biomaterials with tunable physicochemical properties, whereas human-derived extracellular matrix (ECM) hydrogels provide matrix-associated...
In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers. However, the performance of OpenQA systems is often hindered by issue...
Once a niche part of the cyber community, video games today represent one of the major industries and “the combination of technology and spiritualist narratives”. In the cyberspace dedicated to video game trivia, we can find intimate repo...
Open-domain question-answering systems need models capable of referencing multiple passages simultaneously to generate accurate answers. The Rational Fusion-in-Decoder (RFiD) model focuses on differentiating between causal relationships and spurious...
Uncertainty quantification (UQ) for open-ended language generation remains a critical yet underexplored challenge, particularly in settings where token-level log-probabilities are available during decoding. We present Token-Entropy Conformal Predicti...
Although Shakespeare and his plays have been a frequent subject of videogame adaptations in the past, these have often been confined to either theatre-making games (which present the staging of Shakespeare plays using the mechanisms of strategy or si...
11 November 2022
Dishonesty is an interpersonal process that relies on sophisticated socio-cognitive mechanisms embedded in a complex network of individual and contextual factors. The present study examined parental rearing practices, bilingualism, socioeconomic stat...
In a design department’s practice course there are often group exercises that include intensive interactions between students in the classroom or in the internship factory. In addition, students will deepen the interaction between peers due to...
Safety researchers increasingly recognize the impacts of task-induced fatigue on vehicle driving behavior. The current study (N = 180) explored the use of a multidimensional fatigue measure, the Driver Fatigue Questionnaire (DFQ), to test the impacts...
Students claim that multiple-choice questions can be tricky, particularly those with competitive incorrect choices or choices like none-of-the-above (NOTA). Additionally, assessment researchers suggest that using NOTA is problematic for assessment. I...
In the age of abundant digital content, children and adolescents face the challenge of developing new information literacy competencies, particularly those pertaining to online inquiry, in order to thrive academically and personally. This article add...
Theoretical subjects, such as history, usually do not attract the interest of students and as a result educational games and serious games that use augmented reality (AR) are increasingly used as a means of supporting education. It is believed that t...
Selective prediction requires a statistically reliable rule for deciding which model outputs can be returned while controlling the error rate among accepted predictions. In large language model (LLM) applications, uncertainty scores provide useful ra...
Despite the remarkable progress of large language models (LLMs) in understanding and generating unstructured text, their application in structured data domains and their multi-role capabilities remain underexplored. In particular, utilizing LLMs to p...
Retrieval-Augmented Generation (RAG) has become an important paradigm for knowledge-intensive natural language processing, as it enables Large Language Models (LLMs) to access external evidence beyond their parametric memory. However, existing RAG pi...