Results 211 to 220 of about 168,669 (306)

Synergistic adsorption of ciprofloxacin on an amine-functionalized Zn-MOF/chitosan-polyethylenimine composite sponge: experimental and statistical optimization and biological activity. [PDF]

RSC Adv
Aljohani MM, Alharthi SG, Alhawiti AS, Alkhathami N, Alahmari H, Obaid AO, El-Metwaly NM.   +6 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Microbiological contamination of domestic kitchen sponges and associated hygiene practices. [PDF]

Front Microbiol
De Lella A, Nappi R, Anzalone A, Nappa M, Brunetti R, Montone AMI, Esposito A, Garofalo F.   +7 more
europepmc   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

Highly curved and flexible SiO₂ fiber sponge <i>via</i> turbulence spinning for efficient and portable plasma/serum separation. [PDF]

Nanoscale Adv
Zhou S, Chen H, Cheng Z, Gao Y, Zhao M, Wang Y, Xue Q, Feng Z, Hou S, Zhang Y, Xu R, Pang Y, Zhang J, Wu H, Lin S.   +14 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Post-Operative Magnetic Resonance Imaging of Canine Cervical Spine After Ventral Slot Surgery; Evaluation of the Porcine-Derived Hemostatic Compound Spongostan™ Specific Imaging Features. [PDF]

Animals (Basel)
Armellini M, Signore FD, Lombardo R, Zarelli M, Contiero B, Cozzi F, Vignoli M.   +6 more
europepmc   +1 more source

A Compact, High‐Performance, and Deformation‐Resilient Trielectrode Electrostatic Soft Pump for Soft Robotics

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin, Xiaoli Yang, Tao Jin, Jieyu Wang, Sicheng Yi, Yue Wang, Songyi Zhong, Tao Yue, Quan Zhang, Yingzhong Tian, Long Li   +10 more
wiley   +1 more source

Research on the ecology of the carnivorous sponge-associated iridovirus (CaSpA-IV) reveals its presence in the Cnidaria. [PDF]

Discov Viruses
Zaluzhnyi V, Bélanger D, Verhoeven JTP, Weiler BA, Canuti M, Dufour SC.   +5 more
europepmc   +1 more source

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka   +7 more
wiley   +1 more source