Results 91 to 100 of about 22,828,036 (302)

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

open access: yesFEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court   +3 more
wiley   +1 more source

Exploring a Metacognitive Scaffolding-Based GenAI-Assisted Peer Feedback Provision Approach to Enhance Feedback Engagement Among Nursing Students

open access: yesNursing Reports
Background: Providing effective peer feedback is a challenge in nursing education. While Generative AI (GenAI) can assist, students often struggle with the task. Metacognitive scaffolding may help guide students through this complex process.
Shuling Wei, Wei Wei
doaj   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

open access: yesAging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

The relationship between color cycles in home furnishings and apparel, 1969–2009

open access: yesFashion and Textiles, 2018
Fashion is visible in many product categories; color can be an important component in consumers’ product selection decisions. The current phenomenon of fast fashion suggests color cycles have shortened and overlapped between product categories, however ...
Olivia Johnson, Pamela Ulrich
doaj   +1 more source

Optimal sequential procedure for early detection of multiple side effects

open access: yes
We propose an (,)-optimal sequential procedure for the early detection of multiple potential side effects resulting from the administration of some treatments.
Wang, Jiayue, Boukai, Ben
core   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

open access: yesAging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer   +11 more
wiley   +1 more source

A CAUTIONARY NOTE ON POLYNOMIAL DISTRIBUTED LAG FORMULATIONS OF SUPPLY RESPONSE [PDF]

open access: yes
This paper uses the Pagano-Hartley procedure to estimate the lag length and polynomial degree for the case of a quarterly hog supply equation. The results show that the nicely humped shapes which materialize when using the Almon lag may be caused by the ...
Yanagida, John F., Azzam, Azzeddine M.
core  

Anscombe\u27s model for sequential clinical trials revisited

open access: yes, 2018
In Anscombe\u27s classical model, the objective is to find the optimal sequential rule for learning about the difference between two alternative treatments and subsequently selecting the superior one.
Christensen, Sören   +6 more
core   +1 more source

Reducing and meta-analysing estimates from distributed lag non-linear models. [PDF]

open access: yes, 2013
BACKGROUND: The two-stage time series design represents a powerful analytical tool in environmental epidemiology. Recently, models for both stages have been extended with the development of distributed lag non-linear models (DLNMs), a methodology for ...
Gasparrini, Antonio, Armstrong, Ben
core   +1 more source

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