Results 51 to 60 of about 84,321 (306)

Purification tags markedly affect self‐aggregation of CPEB3

FEBS Letters, EarlyView.
Although recombinant proteins are used to study protein aggregation in vitro, uncleaved tags can interfere with accurate interpretation. Our findings demonstrate that His₆‐GFP and His₁₂ tags significantly affect liquid droplet and amyloid fibril formation in the intrinsically disordered region (IDR) of mouse cytoplasmic polyadenylation element‐binding ...
Harunobu Saito, Yujin Lee, Motoharu Ueno, Naotaka Sekiyama, Masatomo So, Ayako Furukawa, Kenji Sugase   +6 more
wiley   +1 more source

Accuracy of compact-stencil interpolation algorithms for unstructured mesh finite volume solver

Heliyon, 2021
This study considers the accuracy of cell-to-face centre interpolation of convected quantities in unstructured finite volume meshes with cell-centred storage of variables.
Adek Tasri, Anita Susilawati
doaj  

Effect of temperature on fatigue life behaviour of aluminium alloy AA6061 using analytical approach

Journal of Mechanical Engineering and Sciences, 2016
This paper presents the effect of temperature on the fatigue life behaviour of aluminium alloy AA6061, under constant loading conditions, by using an analytical approach.
F. Hussain, S. Abdullah, M.Z. Nuawi
doaj   +1 more source

Insights into pegRNA design from editing of the cardiomyopathy‐associated phospholamban R14del mutation

FEBS Letters, EarlyView.
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao, Qiangbing Yang, Christian J.B. Snijders Blok, Mark A. Daniels, Pieter A. Doevendans, Raymond Schiffelers, Joost P.G. Sluijter, Zhiyong Lei   +7 more
wiley   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Remarks on interpolation in certain linear spaces (III)

Journal of Numerical Analysis and Approximation Theory, 2006
In this paper we study a way of extending the model of interpolating the real functions, with simple nodes, to the case of the functions defined between linear spaces, especially between linear normed spaces.
Adrian Diaconu
doaj   +2 more sources

Evaluation of rock burst tendency of coal seam based on Hamming distance method

Gong-kuang zidonghua, 2016
In allusion to shortcomings of current evaluation methods about rock burst tendency of coal seam, a model was built for comprehensively evaluating rock burst tendency of coal seam on basis of Hamming distance theory.
ZHANG Weiqiang, WANG Enyuan, LI Xuelong, KONG Xiangguo, LI Guoai   +4 more
doaj   +1 more source

Intron‐oriented HTLV‐1 integration in an adult T‐cell leukemia/lymphoma cell line sustains expression of intact ift81 mRNA

FEBS Letters, EarlyView.
In the adult T‐cell leukemia/lymphoma (ATL) cell line ED, the human T‐cell leukemia virus type 1 (HTLV‐1) provirus was integrated into the intron of the ift81 gene in the antisense orientation. Despite this integration, both the intact ift81 and the viral oncogene hbz were simultaneously expressed, likely due to the functional insufficiency of viral ...
Mayuko Yagi, Yuka Hirosawa, Yusaku Sagisaka, Minami Hama, Satoshi Takeda, Jun A. Komano   +5 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source