Results 51 to 60 of about 88,503 (313)
Advanced Science, EarlyView.Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source
Raise the Age, Lower the Dropout Rate? Considerations for Policymakers [PDF]
, 2009 In the United States, nearly 1.23 million public school students from the class of 2008 failed to graduate with a diploma. In Massachusetts, 91 students drop out of high school each day.
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Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Perception of Budding Indian Medical Graduates Towards Competency-based Medical Education: A Cross-sectional Study in a Private Medical College of Northwestern Karnataka, India [PDF]
Journal of Clinical and Diagnostic ResearchIntroduction: Competency-Based Medical Education (CBME) has fundamentally reshaped India's medical education since its adoption in 2019-20 under the former Medical Council of India (MCI), now National Medical Commission (NMC).
Chethana Warad +4 more
doaj +1 more source
Gateway to College: Lessons from Implementing a Rigorous Academic Program for At-Risk Young People [PDF]
, 2015 Despite efforts to improve the high school graduation rate in the United States, an estimated 7,200 students drop out of high school every day -- a staggering 1.3 million every year.
Brian Bayes +2 more
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Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Infection and Drug Resistance, 2022 Dereje Gebeyehu Ababu,1 Woldemariam Erkalo Gobena,2 Azmeraw Misganaw Getahun2 1Department of Statistics, College of Natural Science, Salale University, Fitche, Ethiopia; 2Department of Statistics, College of Natural and Computational Sciences, Mettu ...
Ababu DG, Gobena WE, Getahun AM
doaj
The High Cost of High School Dropouts: What the Nation Pays for Inadequate High Schools [PDF]
, 2008 Outlines the impact of high dropout rates on income, health, and economic and societal contribution, as translated into reduced benefits and larger costs for the government and community.
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Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Effectiveness of Tai Chi Exercise on VO2max in Patients with Cancer after Chemotherapy: An Experimental Study [PDF]
Journal of Clinical and Diagnostic ResearchIntroduction: Tai Chi, originally a Chinese martial art, is now recognised as an effective form of aerobic exercise beneficial for cardiac rehabilitation and mental well-being.
Seema Das +3 more
doaj +1 more source