Results 251 to 260 of about 203,481 (279)

Expert consensus on imaging diagnosis and analysis of early correction of childhood malocclusion. [PDF]

Int J Oral Sci
Lin Z, Zhou C, Hu Z, Zhang Z, Cheng Y, Fang B, He H, Wang H, Li G, Guo J, Guo W, Li X, Zheng G, Li Z, Zeng D, Liu Y, Liu Y, Hu M, Xia L, Zhao J, Song Y, Li H, Ji J, Song J, Chen L, Wang T.   +25 more
europepmc   +1 more source

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

Surface Pretreatment Protocols For Indirect/Semi-Direct Dental Restorations: A Cross-Sectional Survey and Expert Consensus. [PDF]

J Adhes Dent
Mayinger F, Lankes V, Roos M, Rohr N, Ioannidis A, Elsayed A, Güth JF, Edelhoff D, Passia N, Esmail I, Beuer F, Wolfart S, Spies BC, Schimmel M, Abou-Ayash S, Hahnel S, Schlenz MA, Frankenberger R, Blunck U, Kraus D, Engelschalk M, Huettig F, Kern M, Luehrs AK, Gierthmuehlen PC, Stawarczyk B.   +25 more
europepmc   +1 more source

Exploring Skill Generalization with an Extra Robotic Arm for Motor Augmentation

Advanced Intelligent Systems, EarlyView.
Extra robotic arms promise to augment human motor functions during multitasking. Herein, diaphragmatic‐controlled extra robotic arm (XRA) is investigated, demonstrating significant performance improvements—true functional augmentation—in trimanual tasks. However, limited generalization to tasks requiring fine motor skills is identified.
Daniel Leal Pinheiro, Giulia Dominijanni, Francesca Paola Maenza, Hugo Dirat, Solaiman Shokur, Silvestro Micera   +5 more
wiley   +1 more source

Canadian Expert Consensus Recommendations for the Diagnosis and Management of Glioblastoma: Results of a Delphi Study. [PDF]

Curr Oncol
Mason WP, Harrison RA, Lapointe S, Lim-Fat MJ, MacNeil MV, Mathieu D, Perry JR, Pitz MW, Roberge D, Tsang DS, Tsien C, van Landeghem FKH, Zadeh G, Easaw J.   +13 more
europepmc   +1 more source

Multiple Unmanned Aerial Vehicle Formation Control through Deep Reinforcement Learning with Offline Sample Correction

Advanced Intelligent Systems, EarlyView.
Herein, a deep reinforcement learning‐based multi‐UAV formation control approach is proposed. By optimizing the utilization of historical data through correcting of offline samples, the past experience is better leveraged and learning performance is improved.
Zhongkai Chen, Han Zhou, Chao Yan, Yihao Sun, Xiaojia Xiang   +4 more
wiley   +1 more source

Expert consensus on orthodontic treatment of protrusive facial deformities. [PDF]

Int J Oral Sci
Pan J, Lu Y, Liu A, Wang X, Wang Y, Gong S, Fang B, He H, Bai Y, Wang L, Jin Z, Li W, Chen L, Hu M, Song J, Cao Y, Wang J, Fang J, Shi J, Hou Y, Wang X, Mao J, Zhou C, Liu Y, Liu Y.   +24 more
europepmc   +1 more source

An Ultrathin and Lightweight Soft Inflatable Actuator for Natural Tactile Sensory Feedback

Advanced Intelligent Systems, EarlyView.
A lightweight, ultrathin soft actuator mimics natural touch by delivering strong, multimodal haptic feedback through pressure and vibration. Tested on both able‐bodied individuals and amputees, it achieves high sensory precision in a compact form. Its simplicity, power, and adaptability hint at transformative applications in prosthetics, immersive ...
Hanna Scherer, Francesco Iberite, Giulia Caserta, Nicolo Boccardo, Jacopo Carpaneto, Emanuele Gruppioni, Silvestro Micera, Tommaso Proietti   +7 more
wiley   +1 more source

Expert consensus on the prevention and treatment of enamel demineralization in orthodontic treatment. [PDF]

Int J Oral Sci
Xia L, Zhou C, Mei P, Jin Z, He H, Wang L, Bai Y, Chen L, Li W, Wang J, Hu M, Song J, Cao Y, Liu Y, Hou B, Wei X, Niu L, Lu H, Ma W, Wang P, Zhang G, Guo J, Li Z, Lu H, Ren L, Xu L, Wu X, Lu Y, Hu J, Yue L, Zhang X, Fang B.   +31 more
europepmc   +1 more source

Exploring the Influence of Applied Potential and Catalyst Morphology on the Selectivities of Copper Toward Carbon Dioxide Electroreduction Using Machine Learning

Advanced Intelligent Systems, EarlyView.
A machine learning‐assisted workflow integrates experimental data mining, model training, and SHapley Additive exPlanations‐based interpretation to map the coupled effects of catalyst morphology, particle size, and applied potential on CO2 electroreduction selectivity, revealing critical multifactorial trends for designing Cu‐based catalysts toward ...
Chengxi Yao, Mo Yan, Muhammad Asif, Ziyang Wang, Seungjae Lee, Joohwan Ha, Taesung Kim   +6 more
wiley   +1 more source