Results 171 to 180 of about 1,406,587 (292)

From landscapes to lesions: Pathology's role in wildlife mortality investigations and conservation health

Wildlife Society Bulletin, EarlyView.
Wildlife mortality investigations are important toward understanding health threats to wildlife and management considerations. The who, what, why and how are critical pieces of these investigations. Wildlife pathologists play a central role in this process in elucidating causes and contributors to mortality. Abstract To effectively recognize and manage
Nicole M. Nemeth
wiley   +1 more source

Case report on ileosigmoid knotting: a rare cause of intestinal obstruction. [PDF]

Int J Surg Case Rep
Tewelde AG, Negash BM, Yihdego YG.
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

A re-tightening suture technique for hemostasis during aortic root remodeling in chronic DeBakey type II aortic dissection. [PDF]

J Surg Case Rep
Aratame A, Kunihara T, Kaku D, Baba T.
europepmc   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Planck-scale effects on nucleon decay in minimal supersymmetric SU(5). [PDF]

Eur Phys J C Part Fields
Ellis J, Evans JL, Hor S, Nagata N, Olive KA.   +4 more
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

From concept to measurement: operationalizing and normalizing Integrity Risk Indicators by SCImago (IRIS). [PDF]

Res Integr Peer Rev
Sánchez-Jiménez R, Guerrero-Bote VP, Halevi G, De-Moya-Anegón F, González DG.   +4 more
europepmc   +1 more source

Generative AI, Technology and the Ecology of Persistence: A Response to Tække

Systems Research and Behavioral Science, EarlyView.
Steve Watson, Erik Brezovec
wiley   +1 more source

Salient Object Detection in Complex Weather Conditions via Noise Indicators

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Salient object detection (SOD), a foundational task in computer vision, has advanced from single‐modal to multi‐modal paradigms to enhance generalisation. However, most existing SOD methods assume low‐noise visual conditions, overlooking the degradation of segmentation accuracy caused by weather‐induced noise in real‐world scenarios.
Quan Chen, Xiaokai Yang, Tingyu Wang, Rongfeng Lu, Xichun Sheng, Yaoqi Sun, Chenggang Yan   +6 more
wiley   +1 more source