Results 101 to 110 of about 29,478 (263)

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

open access: yesAdvanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

open access: yesAdvanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan   +13 more
wiley   +1 more source

The data on exploratory factor structure of [pre-service] teacher beliefs about educational research scale. [PDF]

open access: yesData Brief, 2020
Purnomo YW   +5 more
europepmc   +1 more source

Harnessing MDM2‐Mediated Targeted Degradation of Transcriptional and Epigenetic Machinery to Disrupt Oncogenic Addictions in Pediatric Sarcoma

open access: yesAdvanced Science, EarlyView.
MDM2 dependency in pediatric sarcomas is driven by a novel p53‐independent oncogenic cistrome alongside canonical p53 pathway suppression. This study introduces MDM2‐recruiting transcriptional and epigenetic machinery degraders (MDM2‐TEMADs) as a novel precision oncology modality.
Jiawei Zhou   +21 more
wiley   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

open access: yesAdvanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua   +6 more
wiley   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

open access: yesAdvanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita   +4 more
wiley   +1 more source

Prmt6 Deficiency or Inhibition Restores Microglial Homeostasis and Promotes Scar‐Limited Repair in Adult Spinal Cord Injury

open access: yesAdvanced Science, EarlyView.
After spinal cord injury, adult microglia remain persistently activated with chronic PRMT6 (protein arginine methyltransferase 6) upregulation. Prmt6 deficiency or inhibition reestablishes microglial homeostasis and promotes a scar‐limited repairment, enhancing axonal regrowth.
Weilin Peng   +9 more
wiley   +1 more source

Tumor‐Infiltrating mregDCs Restrain Anti‐Tumor Immunity in Early Relapse HCC

open access: yesAdvanced Science, EarlyView.
Tumor‐infiltrating mregDCs are regulated by the TNFR2‐non‐canonical NF‐κB axis, which is mediated by TNF‐α secreted by CD161+CD8+ T cells. These mregDCs recruit CD161+CD8+ T cells via the CCL20‐CCR6 axis, forming a positive feedback loop that enhances immunosuppression, promotes early recurrence of HCC, and further confirms TNFR2 as a key therapeutic ...
Zefan Zhang   +13 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

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