Results 111 to 120 of about 15,323 (252)

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

Defining sagittal knee phenotypes via monopedal static anterior tibial translation. Part 2: The assessment‐led personalization (ALP) system for indication and correction target planning in slope‐reducing osteotomy

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Current decision‐making for slope‐reducing osteotomy (SRO) often relies on isolated posterior tibial slope (PTS) thresholds, potentially misidentifying patients with acquired soft‐tissue decompensation or possibly overtreating those with an asymptomatic, inherently hyperlax baseline.
Mahmut Enes Kayaalp, Hamit Caglayan Kahraman, Tunay Erden, Christoph Lutter, Sven Scheffler, Omer Taser, Roland Becker, Michael T. Hirschmann, David H. Dejour   +8 more
wiley   +1 more source

Quantifying Soft‐Surgery in Cochlear Implantation: Multimodal Data From 30 International Specialists

The Laryngoscope, EarlyView.
Objective data from 30 specialist cochlear implant surgeons showed that surgical handling strongly influences intracochlear mechanical stress during implantation. Surgeons with fewer than 50 lifetime insertions performed significantly worse than more experienced colleagues, while self‐assessment did not reflect objective performance in any group ...
Philipp Aebischer, Georgios Mantokoudis, Marco Caversaccio, Stefan Weder   +3 more
wiley   +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

On Matrix‐Based Cryptography Using Matrix Norm and Special Integer Sequences

Mathematische Nachrichten, EarlyView.
ABSTRACT In this paper, a novel matrix‐based encryption approach based on the Affine Hill cipher is presented. The key matrix is constructed using the Narayana integer sequence, and the Frobenius norm of the key matrix is used as a scaling factor in the key construction.
Melih Göcen, Sümeyye Hacer Büyükakyol   +1 more
wiley   +1 more source

Development and Validation of a Questionnaire‐Based Model for Households With Multiple Helicobacter pylori Infections: A Family‐Based Screening Strategy

Med Research, EarlyView.
This study developed and externally validated a questionnaire‐based household risk model to identify families with multiple Helicobacter pylori infections. Using only noninvasive, readily available household information, the model showed good discrimination and enabled a family‐based screening strategy that substantially improved detection efficiency ...
Yifan Qiu, Xianzhu Zhou, Yi Hu, Liting Shen, Jiayue Wang, Shihan Xu, Huiyun Zhu, Huabing Huang, Zhaoshen Li, Yiqi Du   +9 more
wiley   +1 more source

GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler, Roberto Souza, Ashley D. Harris   +2 more
wiley   +1 more source

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra‐Low Field Using Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe, James Gholam, Leandro Beltrachini, Mara Cercignani, Derek Kenton Jones   +4 more
wiley   +1 more source

A Study on the Peak-to-Valley Characteristics of Intellectual Structure in Low-Functioning Children With Autism Spectrum Disorder. [PDF]

Pediatr Discov
Zhang D, Wei Q, Hu B, Ai D, Zhang Y, Xiang X, Yang T, Zhang Q, Chen Q, Guo M, Chen J, Li T, Wei H.   +12 more
europepmc   +1 more source

Leaf micromorphology and genetic diversity analysis of Iranian Hordeum species using ISSR and SCoT markers

Nordic Journal of Botany, EarlyView.
The genus Hordeum (Poaceae), of the tribe Triticeae, comprises approximately 32 species with substantial potential for barley improvement. Hordeum vulgare is an economically important cereal widely cultivated across diverse environments, from the Arctic to desert and humid regions.
Maryam Keshavarzi, Raheleh Tabaripour, Nasrin Farasat   +2 more
wiley   +1 more source