Results 201 to 210 of about 4,080,217 (306)

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Highlighting Recent Progress in Fiber Energy Harvesters: From Working Principles to Future Perspectives

Advanced Science, EarlyView.
Fiber energy harvesters offer unprecedented flexibility and a unique capacity for integration into commercial textiles, overcoming the limitations of bulky and rigid conventional devices. This review summarizes recent advances in fiber‐based energy harvesting and provides strategic outlooks to accelerate technological progress in the field. ABSTRACT As
Hanhwi Jang, Junseong Ahn, Yongrok Jeong, Sohee Jeon, Soon Hyoung Hwang, Min‐Wook Oh, Jun‐Ho Jeong, Inkyu Park, Yeon Sik Jung   +8 more
wiley   +1 more source

Economic risks in Kazakhstan

Scientific achievements of the third millennium, 2018
Y. K. Kaldybayev, B. M. Orazalyev
openaire   +1 more source

Marburg Virus Glycoprotein Is a Remarkable Virulent Factor Linked to Hemorrhagic Pathology: Evidence from Multimodal Experimental Systems

Advanced Science, EarlyView.
By integrating data from in vitro, ex vivo, and in vivo models, our research identifies the MARV glycoprotein as a remarkable hemorrhagic factor, filling a major gap in this important field. It also provides practical experimental tools for the basic research on viral pathogenesis and applied research aimed at antiviral intervention for hemorrhagic ...
Ting Yao, Hang Liu, Yanfeng Yao, Wei Deng, Jiawen Sun, Zhenyu Kang, Ashaq Ali, Chao Shan, Zhiming Yuan, Fei Deng, Hualin Wang, Yun‐Jia Ning   +11 more
wiley   +1 more source

A Nanoparticle‐Integrated Complete Manufacturing Pipeline of Chemically Engineered Exosomes

Advanced Science, EarlyView.
We report a novel manufacture technology of chemically engineered exosomes. The four steps of manufacturing, i.e., biogenesis, loading, isolation, and storage, are integrated by the use of a nanoparticle. The manufacture technology incorporates three innovative components, i.e., a new nano‐bio effect, a new composite nanoparticle, and a new isolation ...
Xiaowei Wen, Zixing Xu, Zerun Hao, Yanming Chen, Kai Xie, Haofan Yin, Xueying Wang, Jie Min, Sihan Sun, Baiding Chen, Chengxiu Ling, Mingming Xu, Yizhao Chen, Gang Ruan   +13 more
wiley   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

Advanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su, Zhentao Zhang, Jin Zhao, Xia Liang, Chuang Zhao, Zhijuan Liu, Minghao Zhuang, Jing Sun, Bo Lu, Ke Liu, Johannes W. M. Pullens, Matthew T. Harrison, Deli Chen, Xiaoguang Yang   +13 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source