Results 141 to 150 of about 1,295,192 (344)

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

AI and ML patent intensity and firm performance: A machine learning-based lagged analysis

European Research on Management and Business Economics
This study investigates the long-term impact of artificial intelligence (AI) and machine learning (ML) patent intensity on firms’ performance, focusing on innovation-driven competitive advantage.
Melih Sefa Yavuz, Hilal Çalik
doaj   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Machine Learning Approaches for Forecasting Raspberry Prices and Farm Profitability in Serbia

Contemporary Agriculture
Price volatility and uncertain profitability remain critical challenges for Serbia’s raspberry sector, which is among the largest in the world and highly dependent on export markets.
Milosavljević Nataša, Glavaš-Trbić Danica, Tomić Vedran, Radišić Robert, Čanak Stevan   +4 more
doaj   +1 more source

Disengaging the Engine: Histone Deacetylases 1 and 2‐Mediated Acetylation of Hexokinase‐2 Regulates Energy Metabolism in Microglia Following Intracerebral Hemorrhage

Advanced Science, EarlyView.
This study demonstrates that HDAC1/2 knockout in microglia alleviates neurological deficits, preserves white matter, and accelerates hematoma clearance after ICH. HDAC1/2 inhibition reduces HK2 acetylation, shifts metabolism from glycolysis to fatty acid oxidation, reduces inflammation, and enhances phagocytosis.
Zhiwen Jiang, Heng Yang, Xinjie Gao, Zengyu Zhang, Ruiyuan Weng, Yuchao Fei, Jiabin Su, Hanqiang Jiang, Wei Ni, Yuxiang Gu   +9 more
wiley   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

Enhancing Nuclear Safety Margins: A Hybrid Layered Architecture Combining Deterministic Physics and Machine Learning

Bruno Henrique Araújo Bezerra
  +4 more sources

Prediction of titanium burn-off and untimate titanium content in electroslag process

Journal of Materials Research and Technology
In this study, we investigate the burning behavior of titanium during the electroslag remelting (ESR) process and its impact on the titanium content at the endpoint using machine learning. Initially, a comprehensive database was established by collecting
Xi Chen, Yanwu Dong, Zhouhua Jiang, Jia Wang, Yuxiao Liu   +4 more
doaj   +1 more source

Optimization of Marginal Price Forecasting in Mexico through applying Machine Learning Models

International Journal of Combinatorial Optimization Problems and Informatics
The Local Marginal Price (LMP) represents the value of energy at a specific moment and location, and its proper management is crucial for the development of the country's strategic sectors. This study compares the ADR, RPSG, SARIMA, and LSTM-H models for predicting the LMP, achieving an approximate effectiveness of 88%.
Marcos Fidel Guzmán Escobar, Alberto Alfonso Aguilar-Lasserre, Marco Julio Del Moral Argumedo, Nicasio Hernández Flores, Gustavo Arroyo Figueroa   +4 more
openaire   +1 more source