Results 41 to 50 of about 11,695 (306)
Abstract In a large sample of adult crab‐eating macaques, we quantified sexual dimorphism in size, shape, and covariance across the whole skull and among anatomical regions of the cranium and mandible. All regions showed significant mean sex differences, but the magnitude of size and shape dimorphism varied substantially.
Andrea Cardini, Paul O'Higgins
wiley +1 more source
Background and Objective Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis.
Evren Ekingen +7 more
doaj +1 more source
Learnable Nonlocal Contrastive Network for Single Image Super-Resolution
Single image super-resolution (SISR) aims to recover a high-resolution image from a single low-resolution image. In recent years, SISR methods based on deep convolutional neural networks have achieved remarkable success, and some methods further improve ...
Binbin Xu, Yuhui Zheng
doaj +1 more source
Competence in digital forensics
Those practising in the field of digital forensics must be competent to conduct the work they carry out, and such competence must also be evidenced and assessed. Those seeking to demonstrate staff competence must consider what tasks and roles it is being sought for, how it is achieved, what is an acceptable level of performance for a task, and how to ...
Horsman, Graeme, Dodd, Andrew
openaire +2 more sources
Histories in bone: Navigating the ethical landscape of human skeletal collections in South Africa
Abstract Provenance is at the center of addressing the complicated ethical stewardship of legacy human skeletal collections. Many South African (SA) health science institutions have skeletal collections. While the history of the collections and the demographics of the skeletons have been reported, the provenance of the individuals within the ...
Quenth Chinenere +2 more
wiley +1 more source
An Efficient Boosting-Based Windows Malware Family Classification System Using Multi-Features Fusion
In previous years, cybercriminals have utilized various strategies to evade identification, including obfuscation, confusion, and polymorphism technology, resulting in an exponential increase in the amount of malware that poses a serious threat to ...
Zhiguo Chen, Xuanyu Ren
doaj +1 more source
Medical students' perspectives on body donation to science within the Italian context
Abstract Body donation is essential for medical education and research, supporting anatomical training and clinical competence. In Italy, national data on awareness of the legislation regulating body donation and factors shaping donation‐related decisions among healthcare trainees remain limited. This study investigated knowledge of the legal framework,
Antonietta Fazio +20 more
wiley +1 more source
Blockchain enhanced smart healthcare management for chronic diseases
Chronic diseases affect millions of people worldwide, making it a significant issue for the efficient and secure management of patient data. Most traditional chronic disease management systems fail to manage data in real time and struggle with ...
Shruti Saxena +3 more
doaj +1 more source
Image Structure-Induced Semantic Pyramid Network for Inpainting
The existing deep-learning-based image inpainting algorithms often suffer from local structure disconnections and blurring when dealing with large irregular defective images.
Rong Huang, Yuhui Zheng
doaj +1 more source
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han +3 more
wiley +1 more source

