Results 131 to 140 of about 222,312 (289)

Knee hyperextension is a sign of through‐range laxity and may be effectively managed without routine joint line distalisation in a robotic functional alignment workflow

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Traditional management of hyperextension deformity in total knee arthroplasty (TKA) involves routine under‐resection of distal femoral bone to lower the joint line and close the extension gap. This study aimed to assess how a robotic functional alignment (FA) workflow with pre‐resection gap assessment managed hyperextending knees to ...
Anton Lambers, Serene Lee, Kate Langton, Dermot Collopy, Gavin Clark   +4 more
wiley   +1 more source

Impact of hamstring versus quadriceps tendon graft on thigh muscle strength and surface electromyography activity after anterior cruciate ligament reconstruction

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To compare quadriceps tendon (QT) and hamstring tendon (HT) autografts regarding isometric thigh muscle strength, surface electromyography (sEMG) activity and clinical outcomes following anterior cruciate ligament reconstruction (ACLR).
Benjamin Forquignon, Tobias Drenck, Matthias Krause, Ralph Akoto, Karl‐Heinz Frosch, Götz Welsch, Alexander Korthaus, Grégoire Thürig, Dimitris Dalos   +8 more
wiley   +1 more source

Interval arithmetic backpropagation

Interval arithmetic backpropagation
We present a new extension of the Backpropagation learning algorithm by using interval arithmetic. The proposed algorithm represents a generalization of Backpropagation and contains Backpropagation like a particular case. This new algorithm permits the use of training samples and targets which can be indistinctly points and intervals.
openaire   +1 more source

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

Land Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos, Borja Velázquez‐Martí, Jorge João Delfim, Laura Silva Nantes, Jose Augusto Liberato de Souza, Gabriel Augusto da Silva Lunardelli, Dayara Vivian Alvares, Carolina dos Santos Batista Bonini   +7 more
wiley   +1 more source

Photonic Systolic Array for All‐Optical Matrix–Matrix Multiplication

Laser &Photonics Reviews, EarlyView.
A photonic systolic array is introduced, offering extreme parallelism in matrix‐matrix multiplication based on the synchronized movement of optical pulses along a crossbar array. Optical pulses traveling in perpendicular directions meet at freeform‐designed multiply‐accumulate units, each tailored to generate two signals whose intensity difference ...
Jungmin Kim, Qingyi Zhou, Zongfu Yu
wiley   +1 more source

Moderate Deviation Principles for Lacunary Trigonometric Sums

Mathematische Nachrichten, EarlyView.
ABSTRACT Classical works of Kac, Salem, and Zygmund, and Erdős and Gál have shown that lacunary trigonometric sums despite their dependency structure behave in various ways like sums of independent and identically distributed random variables. For instance, they satisfy a central limit theorem (CLT) and a law of the iterated logarithm.
Joscha Prochno, Marta Strzelecka
wiley   +1 more source

Laurels or Thorns of Trust? How Embeddedness Moderates the Exchange‐Satisfaction Relationship in Franchising

Managerial and Decision Economics, EarlyView.
ABSTRACT Exchanges in franchise systems are embedded in the level of trust that exists in franchisee–franchisor relationships. Although trust is essential in business relationships, it can unfold a negative side effect on the appreciation of exchange in these relationships as hidden costs of trust.
Matthias Glaser, Josef Windsperger, Evelien Croonen   +2 more
wiley   +1 more source

A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis

Materials Genome Engineering Advances, EarlyView.
Leveraging the visual perception of pretrained models, a deep transfer learning framework with dynamic weighting is proposed to bridge natural vision and material microstructures. This strategy achieves a prediction accuracy (R2) of 0.89 and the model demonstrates superior generalization capabilities across multiple material systems, effectively ...
Zhenzhao Zhang, Yunpeng Guo, Chunran Wu, Tingbo Wang, Ming Huang, Wei Li, Xingyu Chen, Haijun Mao, Weijun Zhang, Wenjian Guo, Fenglin Wang, Zhuofeng Liu   +11 more
wiley   +1 more source

A PLP‐SEC Investigation of Di(Ethylene Glycol) Methyl Ether Methacrylate Radical Polymerization Propagation Kinetics in Solution

Macromolecular Reaction Engineering, EarlyView.
The propagation rate coefficient of di(ethylene glycol) methyl ether methacrylate exhibits the same temperature dependency but is a factor of 12 higher in aqueous solution compared to bulk. Smaller increases are observed in ethanol and ethanol/water mixtures, with the value of the rate coefficient decreasing as the monomer concentration in solution is ...
Fatemeh Salarhosseini, Robin A. Hutchinson   +1 more
wiley   +1 more source

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source