Results 91 to 100 of about 5,322,488 (334)

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

Generalization of multi-level modeling methods for development and analysis of operating conditions of large heat supply systems★

E3S Web of Conferences, 2018
The paper presents a methodology of multi-level modeling of thermal-hydraulic conditions of large heat supply systems on the basis of the scientific area of research – the theory of hydraulic circuits – that has been developed at MESI SB RAS.
Shalaginova Zoya. I., Tokarev Vyacheslav V.   +1 more
doaj   +1 more source

Effect of an Adjustable Hinged Carbon Fiber Operating Table on Sagittal Alignment of the Lumbar Spine [PDF]

, 2022
Masato Tanaka, Dhvanit Desai, Yoshihiro Fujiwara, Shinya Arataki, Kajetan Łątka, Naveen Sake, Liang Wang, Yuya Kodama, Yoshiaki Miyamoto, Taro Yamauchi   +9 more
openalex   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 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

Emotional, Social and Occupational Adjustment among Oncology Nurses

International Journal of Hematology-Oncology and Stem Cell Research, 2016
Background: Social, occupational and emotional adjustment of Oncology nurses were assessed and compared with other nurses in this study. Subjects and Methods: One hundred nurses including Oncology nurses (n=50) and non-Oncology nurses (n=50) participated
Mohammad Vaezi, Mahboubeh Vala, Maryam Souri, Ashraf Mousavi, Ardeshir Ghavamzadeh   +4 more
doaj  

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma

Molecular Oncology, EarlyView.
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf, Daniel Ehinger, Hans Brunnström, Mats Jönsson, Frida Rosengren, Marija Kotevska, Anna Karlsson, Mattias Aine, Christian Frezza, Maria Planck, Elsa Arbajian   +10 more
wiley   +1 more source

Interaction of class III cellobiose dehydrogenase with lytic polysaccharide monooxygenase

FEBS Open Bio, EarlyView.
The activity of lytic polysaccharide monooxygenase (LPMO) is supported by its auxiliary enzyme cellobiose dehydrogenase (CDH). The catalytic activity of both enzymes is coupled by electron transfer and a cyclic cascade generating substrates for both enzymes – hydrogen peroxide for LPMO and oxidized and non‐oxidized cellobiose and cello‐oligosaccharide ...
Angela Giorgianni, Florian Csarman, Peicheng Sun, Mirjam Kabel, Roland Ludwig   +4 more
wiley   +1 more source

Matrix: a complex amalgam of structures and functions in tumor microenvironment

FEBS Open Bio, EarlyView.
The matrix is a dynamic, intricate three‐dimensional mesh of biomolecules with both structural and functional properties. This review deals with the complexity of this ‘molecular amalgam’ in the tumor microenvironment and highlights its importance in the maintenance and evolution of tumors by describing certain matrix biomolecules, such as ...
Spyros S. Skandalis, Evgenia Tsoukala, Theodora D. Sarantopoulou, Maria‐Elpida Christopoulou   +3 more
wiley   +1 more source