Results 51 to 60 of about 4,307 (261)
CHARACTERISTICS OF THE YARNS SPUN FROM REGENERATED CELLULOSIC FIBERS
, 2018 WOS ...
KIVRAK, Nazlı Merve +2 more
openaire +4 more sources
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 +8 more
wiley +1 more source
Clothing the world efficiently: The MFA and consumers [PDF]
The sarcasm of Baetiat almost 150 years ago quite aptly and in all seriousness covers a fair share of the arguments raised whenever foreign industries are more competitive than domestic ones.
Glismann, Hans H., Spinanger, Dean
core
Advanced Science, EarlyView.SJNPs co‐deliver JHU083 and spermine to reprogram macrophage–neuron immunometabolic crosstalk in sepsis. By suppressing pro‐inflammatory M1 polarization and promoting NGF‐mediated neurotrophic signaling, SJNPs preserve pulmonary neuronal integrity, alleviate lung injury, and improve survival in murine sepsis models.
Wenhui Wang +11 more
wiley +1 more source
Morphology of cellulose objects regenerated from cellulose-N-methylmorpholine N-oxide-water solutions [PDF]
, 2009 International audienceThe precipitation in aqueous media of cellulose from solutions in N-methylmorpholine N-oxide (NMMO) hydrates is an important stage in the process of manufacturing of fibres, films and other cellulose objects.
Biganska, Olga, Navard, Patrick
core +2 more sources
Journal of Natural Fibers, 2019 Mercerization is an important process applied to cellulosic fibers for improving the properties like dimensional stability, luster, and dye uptake. Strain hardening is a technology for strengthening materials by realigning of atoms in crystal lattice and is generally used in metallurgy and is being tried on yarns.
G.R. Poongodi +3 more
openaire +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
China's Long-Term International Trade Statistics: By Commodity, 1952-1964 and 1981-2000 [PDF]
International trade has been a key engine driving Chinese economic growth in recent decades. Yet, long-term analyses of China's trade are still difficult because the country's trade statistics for the post-war period up to the mid-1980s have many ...
Kozo Kiyota, Kyoji Fukao, Ximing Yue
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Economic Complexity Unfolded: Interpretable Model for the Productive Structure of Economies
, 2018 Economic complexity reflects the amount of knowledge that is embedded in the productive structure of an economy. It resides on the premise of hidden capabilities - fundamental endowments underlying the productive structure.
Kocarev, Ljupco +4 more
core +2 more sources
Ketahanan Tekan Komposit Dari Resin Epoksi Berpenguat Serat Bambu [PDF]
, 2015 Serat bambu memiliki sifat mekanis lebih baik dibandingkan dengan serat alam yang lainnya. Oleh sebab itu, serat bambu dapat digunakan sebagai penguat komposit.
Hermawan, D. W. (Dian) +2 more
core +2 more sources