Results 191 to 200 of about 153,927 (313)

Sponge Galectins: Structure, Evolution, and Function. [PDF]

ACS Omega
Sousa ARO, Ferreira da Ponte JAD, Sampaio AH, Nagano CS, Carneiro RF.   +4 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

An Ex Vivo Study Measuring the Effects of Circumferential and Near-Circumferential Closed Incisional Negative Pressure Wound Therapy Dressings on a Porcine Model. [PDF]

Hawaii J Health Soc Welf
Hasegawa ME, Livingstone J, Chan SK, Rimm JB, Burnham M, Murray P.   +5 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

Tracking pathogen-related markers with eDNA in natural areas: how environmental factors shape surveillance strategies. [PDF]

Vet Res
Perelló A, Smoglica C, González-Crespo C, Pérez-Sancho M, González-Barrio D, Herranz C, Dashti A, Sánchez S, Carmena D, Varzandi AR, Ferroglio E, Domínguez L, Martínez-López B, Gortázar C.   +13 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

Comparative Evaluation of Soft Tissue Regeneration Rate Using Different Wound Closure Methods After Palatal Donor Site Harvesting: A Retrospective Cohort Study. [PDF]

Medicina (Kaunas)
Ryko T, Timoshin A, Shakaryants A, Borisov V, Ershov K, Timoshina M, Emelina E, Kazumova A.   +7 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

Plant spacing modulates growth, yield and nutrient dynamics of sponge gourd under semi-arid conditions. [PDF]

Sci Rep
Abbas SM, Ijaz R, Hussain T, Haider MW, Nafees M, Stanciu AS, Shokeralla AA, İbrahimova U, Rzayeva A.   +8 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