Results 191 to 200 of about 327,732 (266)

Optimization of PEI-mediated transient transfection for antibody production in Expi293F cells by iron ion supplementation. [PDF]

Biochem Biophys Rep
Liu Y, Xiao S, Gui Y, Gong S, Hu Y, He J, Rehman TU, Mohsin A, Guo M.   +8 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Antibody-drug conjugate engineering: from design to efficacy and safety. [PDF]

Signal Transduct Target Ther
Ocana A, Espinosa JR, Alonso-Moreno C, Győrffy B, Tong H, Pandiella A.   +5 more
europepmc   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Research progress on biosynthesis and regulation of monoterpenoid compounds. [PDF]

Nat Prod Bioprospect
Zhang J, Cui J, Li S, Chu S, Liu R, Wang K, Ren Y, Xiao C, Yin J.   +8 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Grouping-Based and Position-Based Phase Optimization for RIS-Assisted Millimeter-Wave Vehicular Communications. [PDF]

Sensors (Basel)
Xu Z, Yu G, Luo Y.
europepmc   +1 more source

Accelerating natural product discovery, characterization and engineering by biofoundries.

Nat Prod Rep
Hu L, Pan Y, Zhao H.
europepmc   +1 more source

Improving recombinant protein productivity in CHO cells via multi-omics data integration. [PDF]

Bioresour Bioprocess
Shen Y, Shi L, Zhang X, Guo X, Dong WH, Wang TY.   +5 more
europepmc   +1 more source