Results 71 to 80 of about 120,010 (245)

A method for identifying the wheel state of subway vehicles based on convolution and attention mechanism

Advances in Mechanical Engineering
To identify periodic harmonic irregularities on subway wheel surfaces, a novel data-driven method is proposed to address the challenges of nonlinear interferences and low signal-to-noise ratio in vibration signals collected during operation. To avoid the
Xichun Luo, Jianlin Mao, Tao Liu, Zifang Sun   +3 more
doaj   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Comprehensive Design Optimization Framework for Prestressed Concrete Continuous Beam Bridge Using Genetic Algorithm and Backpropagation Neural Network

Buildings
Prestressed concrete (PC) continuous beam bridges are widely used in transportation infrastructure. However, their construction involves substantial material consumption, raising sustainability concerns amid increasing environmental pressures. This study
Hao Bai, Yanbo Zhang, Beiyu You, Keyu Chen   +3 more
doaj   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Gradient-free optimization of non-differentiable hybrid neural solvers for spatially heterogeneous composites

Theoretical and Applied Mechanics Letters
The data-driven machine learning paradigm typically requires high-quality, large-scale datasets for training neural networks, which are often unavailable in many scientific and engineering applications. Integrating physics equations into machine learning
Hanfeng Zhang, Tengfei Luo, Jian-Xun Wang   +2 more
doaj   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

Aging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

On-Demand Inverse Design of Metamaterials Using Deep Neural Networks with Bayesian Optimization

Intelligent Computing
Recent advances in metamaterial design highlight methodologies tailoring metamaterials to achieve target behaviors in specific applications. This investigation presents a data-driven design approach using deep neural networks for the on-demand inverse ...
Than V. Tran, S. S. Nanthakumar, Timon Rabczuk, Xiaoying Zhuang   +3 more
doaj   +1 more source

Artificial neural network and precision genome engineering frameworks for genetic system engineering in mammalian cells.

, 2021
Synthetic biology is an emerging engineering discipline that merges biology with engineering design principles with the objective to engineer novel biological behavior in living organisms. The engineering process in synthetic biology, however, is often unpredictable and inefficient.
openaire   +1 more source

A cybernetic framework for synthetic biological intelligence in the era of neural tissue engineering

Advances in synthetic biology and tissue engineering are empowering the design of neural constructs from first principles. This transition toward invention as an approach to discovery invites a critical re-engagement with the field of cybernetics, which despite being underrealized in its time due to technological constraints, continues to shape how we ...
Étienne P. Sellar, Nicolas Rouleau
openaire   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source