Results 191 to 200 of about 39,054 (263)

A Monolithic Janus Hydrogel Pressure Sensor for Wearable Motion and Physiological Monitoring

Advanced Science, EarlyView.
This work reports a monolithic Janus hydrogel pressure sensor featuring integrated conductive PEDOT and insulating PEGDA layers. The fabricated device achieves a rapid response time, a wide operating range, and good cyclic durability. The sensor demonstrates robust performance in tracking dynamic human joint motions, offering a scalable strategy for ...
Syed Atif Ali, Zeeshan Alam Ansari, Reynaldo Carlos Kuizon Montalbo, Hailemichael Ayalew, Yu‐Sheng Hsiao, Chih‐Wei Chu, Hsiao‐hua Yu, Hsiung‐Lin Tu   +7 more
wiley   +1 more source

Lowering Barriers to Augmented Reality in ChemistryEasy Creation of Virtual 3D Molecular Models. [PDF]

J Chem Educ
Loch F, Huwer J, Thoms LJ.
europepmc   +1 more source

Geometry‐Encoded Actuation as a Structural Interaction Layer in Origami Robots

Advanced Science, EarlyView.
We present geometry‐encoded actuation (GEA), a design framework that integrates multistable origami with liquid crystal elastomer actuators to encode environmental interactions into autonomous structural responses. GEA enables programmable shape transformation without continuous sensing or complex control, achieving robust adaptive manipulation and ...
Jianshu Zhou, Yitong Li, Junda Huang, Ian Zhang, Haoran Liu, Boyuan Liang, Yiyuan Zhang, Xiaohui Xiao, Qiguang He   +8 more
wiley   +1 more source

Examination of undergraduate learning assistants' science communication and science teaching approaches. [PDF]

J Microbiol Biol Educ
Spengler M, Kelp N.
europepmc   +1 more source

Receptogenesis in a Vascularized Robotic Embodiment

Advanced Science, EarlyView.
Functional augmentation of situated robots via ex novo hardware generation extends physical adaptability. Drawing inspiration from open circulatory systems for mass and function redistribution, this study presents a vascularized robotic composite exhibiting receptogenesis ‐ the on‐demand construction of sensors ‐ from internal fluid reserves based on ...
Kadri‐Ann Pankratov, Leonid Zinatullin, Hans Priks, Adele Metsniit, Urmas Johanson, Tarmo Tamm, Alvo Aabloo, Edoardo Sinibaldi, Indrek Must   +8 more
wiley   +1 more source

Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue

Advanced Science, EarlyView.
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg, Thijs J. van der Burg, Stijn Y. Kolkman, Santiago Saavedra Castano, David Fernandez Rivas, Anke Klingner, Roger M. L. M. Lomme, Lucas S. Joziasse, Dorothee Wasserberg, H. Remco Liefers, Doron Ben Ami, Udi Sadeh, Oded Shoseyov, Giulio Dagnino, Pascal Jonkheijm, Jurgen J. Fütterer, Stefano Stramigioli, J. Frank W. Nijsen, Michiel C. Warlé, Islam S. M. Khalil   +19 more
wiley   +1 more source

Facilitators' perspectives on a pre-matriculation program in basic biomedical sciences for medical students: a qualitative study. [PDF]

BMC Med Educ
Istadi Y, Rinawati R, Lestari E, Fatmawati D.   +3 more
europepmc   +1 more source

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface

Advanced Science, EarlyView.
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong, Yiming Luo, Chuanliu Liu, Mahamood Modupe Rasheedat, Wenjiayi Tan, Fangyu Zhao, Yixue Zhang, Chris Connor, Hua Hou, Hamdy Khamees Thabet, Ben Bin Xu, Huige Wei   +11 more
wiley   +1 more source

Who Leads, What Matters? Machine Learning and the Complexity of University Performance. [PDF]

PLoS One
Ballestar MT, Komp-Leukkunen K, Malfeito-Gaviro J, Ramos A, Sainz J.   +4 more
europepmc   +1 more source

Toward Material‐Specific Peptides From in Silico Guided Peptide Engineering to Target PET in the Presence of PS

Advanced Science, EarlyView.
This work presents a computational–experimental strategy to engineer material‐binding peptides toward polymer specificity. Molecular dynamics simulations identified residues driving polystyrene binding, enabling targeted substitutions that greatly reduced polystyrene affinity while preserving PET binding.
Julian Luka, Marian Bienstein, Jonas Berger, Ulrich Schwaneberg   +3 more
wiley   +1 more source