Results 91 to 100 of about 153,582,606 (300)

Advancing Biotherapeutic Treatment of Ulcerative Colitis Using Lipid Mesophases: Formulation Design and Preclinical Validation

Advanced Science, EarlyView.
Lipid mesophases provide a versatile platform for colon‐targeted delivery of biotherapeutics, protecting them from degradation while enhancing mucoadhesion and enabling localized, controlled release to the inflamed mucosa after oral or rectal administration. In a DSS‐induced colitis model, this strategy reduced disease activity, inflammatory biomarkers,
Rafaela Gazzi, Tiziana Cremona, Reto Czekalla, Emily Campbell, Marlene Schwarzfischer, Doris Pöhlmann, Vanessa Dobernig, Gerhard Rogler, Michael Scharl, Alessandra Bergadano, Raffaele Mezzenga, Martin Kuentz, Paola Luciani, Simone Aleandri   +13 more
wiley   +1 more source

An improved MOPSO technique based optimal location and size of DGs in distribution power grids considering true multi-objectives

Engineering and Applied Science Research, 2023
Distribution grids have received a lot of attention lately because of the increase in load demand. Promoting the widespread use of distributed generation (DG) is a strategy to meet the growing demand for energy.
Fouad Zaro
doaj  

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

Advanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang, Xinyu Lu, Tong Liu, Jinjie Fang, Xin Li, Siqian Wu, Liuchao Jin, Wei‐Hsin Liao, Shuyou Zhang, Jianrong Tan   +9 more
wiley   +1 more source

Pyruvate Kinase M2‐Mediated H3K9 Lactylation and XBP1 Signaling Positive Feedback Loop Facilitates CD4+ T Cell Spinal Recruitment and Central Sensitization in Rheumatoid Arthritis

Advanced Science, EarlyView.
In collagen‐induced arthritis (CIA) mice, increased CD4+ T cell accumulation in the spinal dorsal horn induces pain hypersensitivity. Mechanistically, PKM2‐mediated H3K9 lactylation and XBP1 signaling positive feedback loop facilitates CD4+ T cell spinal migration and induces central sensitization‐like behaviors in CIA mice.
Yuepeng Jiang, Xiaoxuan Zhao, Xiao Ma, Mengjia Zheng, Junjun Wen, Yujie Li, Yue Wu, Yun Zhang, Jie Yu, Charles R. Ashby Jr, Chengping Wen   +10 more
wiley   +1 more source

Improving Prediction Accuracy and Robustness in Injection Mechanism Based on Simplified Pareto and Updated Training Set Hybrid Metamodel

Journal of Manufacturing and Materials Processing
In squeeze casting, the injection parameters including fit clearance, speed, temperature, and their uncertainties significantly impact the forming quality.
Dongdong You, Shiwen Zheng, Fenglei Li, Xiao Luo   +3 more
doaj   +1 more source

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Advanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

Bi-Objective Optimization for Transportation: Generating Near-Optimal Subsets of Pareto Optimal Solutions

Applied Sciences
Bi-objective optimization seeks to obtain Pareto optimal solutions that balance two trade-off objectives, providing guidance for decision making in various fields, particularly in the field of transportation. The novelty of this study lies in two aspects.
Hongyu Zhang, Qingfang Ruan, Yong Jin, Shuaian Wang   +3 more
doaj   +1 more source

Reliability-based multiobjective optimization using the satisficing trade-off method

Mechanical Engineering Journal, 2014
This study proposes a reliability-based multiobjective optimization (RBMO) approach using the satisficing trade-off method (STOM). STOM is a multiobjective optimization method that obtains a highly accurate single Pareto solution, regardless of the shape
Nozomu KOGISO, Ryo KODAMA, Masahiro TOYODA   +2 more
doaj   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Efficient Pareto-improving Processes [PDF]

We give two procedures for determining whether efficient Pareto improving local changes are possible. When they are, the procedures compute for them. Any procedure generating efficient and Pareto improving changes can be replicated by these procedures ...
Kwan Koo Yun
core