Results 71 to 80 of about 5,416,756 (285)

Bacteria‐Trained, MnO2‐Armored Dendritic Cells for Immunotherapy

Advanced Materials, EarlyView.
MnO2‐armored, bacteria‐trained dendritic cells undergo tumor‐responsive mechanical and immunological transformation. The nanocoating masks immune ligands and maintains a mechanically stiff, quiescent state during circulation, while the tumor microenvironment removes the armor and restores cellular deformability and immune accessibility.
Zhao Guo, Min Ge, Zesong Ruan, Tingwang Shi, Mahyar Mahmoudi, Soohwan An, Na Kong, Yunfeng Chen, Han Lin, Wei Tao   +9 more
wiley   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Uncertainty‐Quantified Primary Particle Size Prediction in Li‐Rich NCM Materials via Machine Learning and Chemistry‐Aware Imputation

Advanced Science
Lithium‐rich Nickel–Cobalt–Manganese (Li‐rich NCM) materials are promising cathodes for lithium‐ion batteries, where electrochemical performance is sensitive to primary particle size.
Benediktus Madika, Chaeyul Kang, JooSung Shim, Taemin Park, Jung Hyeon Moon, EunAe Cho, Seungbum Hong   +6 more
doaj   +1 more source

IoT-Based Cybersecurity Threat Detection Using Feature Se-lection and Dipper Throated Optimization Algorithm [PDF]

International Journal of Telecommunications
This work aims to investigate enhancing programs employed in threat identification associated with cybersecurity in the back-ground of the IoT in combination with the Dipper Throated Optimization (DTO) algorithm and Gradient Boosting.
Ali Takieldeen, S Towfek, Ahmed Zaki, Nima Khodadadi   +3 more
doaj   +1 more source

Forecasting with many predictors - Is boosting a viable alternative? [PDF]

This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Wohlrabe, Klaus, Buchen, Teresa
core  

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source

Automated Spam Detection in YouTube Comments: A Natural Language Processing and Gradient Boosting Approach

International Research Journal of Innovations in Engineering and Technology
The rapid growth of social media platforms such as YouTube, Facebook, Twitter, and TikTok has revolutionized communication but has also led to an increase in spam and harmful content. Detecting spam comments automatically is crucial to maintaining a safe and engaging digital environment. This study proposes a spam detection model using Natural Language
B. Dhashvanth Sai, null E. Bhargavi, G. Srija Naidu, G. Aditya Srinivas, A. Vimal Kumar   +4 more
openaire   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Multidimensional Heat‐Path Engineering in Thermal Interface Materials for High‐Performance Electronics

Advanced Materials Technologies, EarlyView.
This review presents multidimensional heat‐path engineering for thermal interface materials, showing how internal heat transport, interfacial contact and bondline formation, and processing‐defined pathway architectures together determine bonded‐joint thermal performance.
Jinsoo Na, Jaeho Seo, Sungwoo Yang, Wonjin Lee, James Sangmin Choo, Sangjae Kim, Sanghyun Park, Juhyuk Park   +7 more
wiley   +1 more source

Enhancing sustainable concrete using waste ceramic powder and natural pozzolan through experimental and machine learning approaches

Scientific Reports
As global demand rises and natural aggregates become scarcer, using supplementary materials and industrial waste for concrete production offers a sustainable solution that conserves resources and reduces waste.
Danial Nasr, Rezvan Babagoli, Amirhossein Khaghani Dehaghani   +2 more
doaj   +1 more source