Results 91 to 100 of about 42,265 (216)

Business Process Management Maturity and Digital Transformation: Evidence From a Financial Institution in an Emerging Economy

Knowledge and Process Management, EarlyView.
ABSTRACT This study examines how business process management (BPM) maturity shapes digital transformation in a large financial institution operating in a highly regulated, emerging‐economy context. Drawing on a qualitative single case study, the research applies Rosemann and De Bruin's BPM Maturity Model to analyse how different maturity dimensions ...
Shirley Xavier Segala, Sérgio Nogueira Seabra, André Rehbein Sathler Guimarães   +2 more
wiley   +1 more source

Kinematic alignment, but not mechanical alignment, preserves the knee–ankle relationship after total knee arthroplasty: A retrospective radiographic analysis from the FP‐UCBM Knee Study Group

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
ABSTRACT Purpose Several alignment strategies have been proposed in total knee arthroplasty (TKA), with the two extremes being mechanical alignment (MA) and unrestricted kinematic alignment (KA). While MA standardises coronal knee parameters to achieve a neutral alignment, KA reproduces each patient's native joint lines.
Edoardo Franceschetti, Giancarlo Giurazza, Marco Donantoni, Stefano Campi, Andrea Tanzilli, Pietro Gregori, Michele Paciotti, Biagio Zampogna, Andrea Marinozzi, Umile Giuseppe Longo, Rocco Papalia   +10 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

Joint line obliquity disruption negatively affects mid‐term patient‐reported outcomes following total knee arthroplasty

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The influence of change in coronal alignment on clinical outcomes following total knee arthroplasty (TKA) remains unclear. The Coronal Plane Alignment of the Knee (CPAK) classification can be broken up into arithmetic hip–knee–ankle (aHKA) angle and joint line obliquity (JLO) components, potentially identifying distinct failure ...
Patrick Pflüger, Alberto Pedrazzini, Lukas Fischer, Lukas Jud, Lazaros Vlachopoulos, Sandro F. Fucentese   +5 more
wiley   +1 more source

Automated data extraction for systematic reviews using GPT‐5.2 and Google Gemini Pro 3: A dual‐large language model approach in orthopaedic research

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate the accuracy, agreement, and efficiency of a dual‐large language model (LLM) approach using Generative Pre‐Trained Transformer 5.2 (GPT‐5.2) and Google Gemini 3 Pro for automated data extraction in orthopaedic systematic reviews.
Prushoth Vivekanantha, Harjind Kahlon, Oluwatoba T. Balogun, Marc Daniel Bouchard, Darren de Sa, Olufemi R. Ayeni, Jeffrey Kay   +6 more
wiley   +1 more source

Static and Dynamic Analysis of Porous Gas Bearings Lubricated With Air, Refrigerant R‐134a, Helium and Hydrogen

Lubrication Science, EarlyView.
ABSTRACT Porous gas bearings (PGBs) enable high‐speed, oil‐free operation in modern rotating machinery. This study develops a coupled thermo‐hydrodynamic (THD) model for a cylindrical porous gas bearing lubricated with four working fluids—air, R‐134a, helium and hydrogen.
S. Bechiri, B. Bouchehit, B. Bou‐Saïd
wiley   +1 more source

A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science

Materials Genome Engineering Advances, EarlyView.
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao, Yi Chen, Shan Man Song, Jian Xu, Peipei Yang, Qing Bo Yan, Gang Su   +6 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

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2)$$ {b}_{\mathrm{max}}=2000\kern0.3em \mathrm{s}/{\
Mustafa Abbas, Wenyin Zhou, Stephan E. Maier, Fredrik Langkilde, Stefan Kuczera   +4 more
wiley   +1 more source

Faster and More Robust CK Reaction Rate Estimation at 3T Using Acquisition‐Weighted 31P Cardiac 1D‐MRSI With Compartment‐Based Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of the creatine kinase (CK) forward reaction rate (kf) in the human heart using phosphorus magnetic resonance spectroscopy is clinically important; however, it is limited by long acquisition times, operator subjectivity in analysis, and potential skeletal muscle contamination.
Aaron Axford, Iveta Pajanová, William D. Watson, Andrew C. Tyler, Roshan Xavier, Ferenc E. Mózes, Oliver J. Rider, Damian J. Tyler, Ladislav Valkovič   +8 more
wiley   +1 more source