Results 121 to 130 of about 434,444 (268)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Band 3, 242 (Sammlung Friedlaender) [PDF]
BAND 3, 242 (SAMMLUNG FRIEDLAENDER) Band 3, 242 (Sammlung Friedlaender) (Public Domain ...
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Expert conclusions of accreditation expertise of bachelor students’ training according to educational and professional program «Science of Tourism» on specialty 242 «Tourism» at Zaporizhzhya National Technical University [PDF]
Голова експертної комісії – завідувач кафедри менеджменту та туристичного бізнесу Дніпровського національного університету імені Олеся Гончара, доктор економічних наук, професор, Н.П. МешкоUK: ЗАГАЛЬНИЙ ВИСНОВОК На підставі аналізу поданих на акредитацію
Expert Board on accreditation expertise of the educational and professional program «Science of Tourism» on specialty 242 «Tourism» at Zaporizhzhya National Technical University +2 more
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Molecular editing of bilobalide uncovers BB56, a PREP‐engaging chemotype with enhanced anti‐inflammatory activity in microglia. Integrated CETSA‐MS, SAR, and pathway analyses link BB56 to attenuation of p38 MAPK/NF‐κB and NLRP3‐associated inflammatory signaling, highlighting bilobalide editing as a strategy for developing neuroinflammation‐modulating ...
Chanin Sillapachaiyaporn +20 more
wiley +1 more source
Iwao Seiichi, Iyanaga Teizō, Ishii Susumu, Yoshida Shōichirō, Fujimura Jun'ichirō, Fujimura Michio, Yoshikawa Itsuji, Akiyama Terukazu, Iyanaga Shōkichi, Matsubara Hideichi. 242. Sembutsu. In: Dictionnaire historique du Japon, volume 17, 1991. Lettres R (
Iwao, Seiichi +9 more
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Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +1 more source
NMI Regulates Adipose Adaptive Thermogenesis Through TLR4/IRF3 Signaling to Promote Obesity
Adipose tissue‐derived NMI is secreted under metabolic stress and suppresses adaptive thermogenesis through TLR4/IRF3 signaling, repressing the PPARα/PGC‐1α/UCP1 thermogenic transcriptional program. Genetic ablation or anti ‐ NMI monoclonal antibody treatment enhances energy expenditure, protects against DIO, and ameliorates adipose tissue inflammation,
Ting‐Ting Li +7 more
wiley +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source

