Results 91 to 100 of about 85,546 (299)
College Dropouts and Difference Scores
It is shown that not only will the usual predictors of college grades such as the Scholastic Aptitude Tests-Verbal and Mathematical (SAT-V & SAT-M) and rank in high school graduating class (HSR) differentiate significantly between college dropouts ...
Lewis R. Aiken
core +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments [PDF]
Failure of participants to complete training programs is pervasive in existing active labor market programs both in developed and developing countries. The proportion of dropouts in prototypical programs ranges from 10 to 50 percent of all participants ...
Lee, Sang-Jun +2 more
core
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
Patient characteristics and comparison between dropouts and non-dropouts.
Frequencies were compared via Pearson's chi-square test. Continuous factors were compared via the Kruskal-Wallis test. Median times from enrollment until CART start were estimated via the method of Kaplan and Meier and were compared by the log-rank test.
Vincent Ochieng (375807) +10 more
core +1 more source
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu +9 more
wiley +1 more source
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
One-Day Dropouts from Correctional Drug Treatment
13 one-day dropouts of treatment scored on the MMPI more impulsive, antisocial, and pathological than the stayers with whom they were matched. Dropouts also had used drugs longer (6.46 vs 3.23 yr.).
Kenneth D. Robinson, Gregory L. Little
core +1 more source
Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source

