Results 41 to 50 of about 96,836 (254)
Self‐Sealing Microneedles Improve Precision and Reduce Reflux in Subretinal Cell Transplantation
Ultrafine 49G microneedles enable subretinal delivery of induced pluripotent stem cell‐derived retinal pigment epithelial cells through a 50 µm outer diameter tip. Compared with conventional 38G microcannulas, these microneedles reduce cell suspension reflux in a rabbit model, highlighting the potential of microinvasive delivery instruments to improve ...
Jared Ching +9 more
wiley +1 more source
The influence of pre-university education resources on school dropout and the unemployment rate in Romania is significant? [PDF]
In Romania, especially at county level, school dropout rate in primary and secondary education, school dropout rate in high school and professional education, as well as unemployment rate, differ significantly from one county to another, the values ...
Marian Zaharia
doaj +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
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
This study assessing the effect of home-to-school distance on student's dropout rate in Adi-Keyih sub-zone, Southern administrative region, Eritrea. In the current study, correlational method is used to test the significance of home-to-school distance on
Tsinat Yemane Zeragaber +2 more
doaj +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
Exploring the Unexpected: the Relationship Between Higher Family Income and Dropout Risk
This study investigates the paradoxical influence of family income on school dropout risks among Brazilian public-school students. Discussing previous results that challenges traditional perspectives on school dropout by examining how students from ...
Gabriel Fortes +9 more
doaj +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
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

