Results 191 to 200 of about 433,497 (298)

Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications

Advanced Intelligent Systems, EarlyView.
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu, Amar Salehi, Lei Xu, Wei Yuan, Tingting Yu   +4 more
wiley   +1 more source

Unravelling agronomic performance and genetic diversity of newly developed maize inbred lines for arid conditions. [PDF]

PeerJ
Hassanin AA, Jalal AS, Mahdy EM, Mandour H, Mansour E, Kamara MM, Alshaharni MO, Fayad E, Alqurashi M, Aljabri M, Fallatah TA, Abd El-Moneim D, Eldomiaty AS.   +12 more
europepmc   +1 more source

The ear as morphologically an apparatus for perceiving depth below sea‐level

, 1920
H. Hartridge
openalex   +2 more sources

Summary of Report on Diseases of the Ear, Nose, and Throat in Egypt from 1915. Part I [PDF]

, 1918
James W. Barrett
openalex   +1 more source

Compliant Robotics in Space: A Prospective Review of Soft and Deformable Systems for Space Missions

Advanced Intelligent Systems, EarlyView.
Compliant robots are increasingly becoming integral to space exploration due to their adaptability, flexibility, and lightweight design. This article reviews categories such as soft, reconfigurable, and hyper‐redundant robots and their evolving role in enhancing space missions.
Hamed Rahimi Nohooji, Holger Voos
wiley   +1 more source

Detection of Gait Events Using Ear-Worn IMUs During Functional Movement Tasks. [PDF]

Sensors (Basel)
Fawden T, Roberts IV, Goldin S, Sharma Y, Dunne H, Stone T, Bance M.   +6 more
europepmc   +1 more source

Fungus-Disease of the Ear. [PDF]

, 1898
W K Hatch
openalex  

Injuries of the Middle and Internal Ear [PDF]

, 1911
Charles Ballance
openalex   +1 more source

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

Advanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo, Francesca Borghi, Tommaso Angì, Marta Maschietto, Stefano Vassanelli, Paolo Milani   +5 more
wiley   +1 more source

Micro-CT Analysis of Rodent Temporal Bones: Identifying Optimal Species for Otological Research. [PDF]

Laryngoscope Investig Otolaryngol
Daoudi H, Ferrary E, Moula C, Agnely F, Bochot A, Cailleau C, Nguyen Y, Lahlou G, Torres R.   +8 more
europepmc   +1 more source