Results 121 to 130 of about 92,198 (268)

Mitigating Health Disparities Through Empathetic Policymaking During Times of Crisis

Public Administration and Development, EarlyView.
ABSTRACT The COVID‐19 pandemic greatly exacerbated the existing disparities and inequities in health and healthcare among historically marginalized populations. Today, these impacts still echo. These persistent structured inequities erode the public's trust in government, lead to failure in public policies, and result in worse health consequences ...
Yali Pang, Brittany Keegan, Robyn D. McDougle   +2 more
wiley   +1 more source

Machine learning‐based predictive models versus traditional risk scores in hemodialysis patients with comorbid urolithiasis

Precision Medical Sciences, EarlyView.
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain, Muhammad Riaz, Mirza Muhammad Hadeed Khawar, Jawad Hameed, Malik Sohail Riaz   +4 more
wiley   +1 more source

Transparency, Sustainable Governance and Digital Accessibility in Municipalities: A Machine Learning Approach

Sustainable Development, EarlyView.
ABSTRACT Achieving the Sustainable Development Goals (SDGs) requires transparent and accountable local governments, yet little is known about the structural drivers of municipal transparency. This study introduces a machine learning approach to predict municipal transparency using the Bidimensional Transparency Index (BTI), which measures both the ...
Ana M. Plata‐Díaz, Elisabeth Zafra‐Gómez, Juan C. Garrido‐Rodríguez, M. Carmen Pérez‐López   +3 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

Denoising framework for X‐ray absorption spectroscopy data

Journal of Synchrotron Radiation, EarlyView.
We introduce a high‐performance Python‐based XAS denoising package called XASDenoise, which implements our newly developed stationarity warping method and advanced denoising techniques based on Gaussian process regression and a convolutional autoencoder.X‐ray absorption spectroscopy (XAS) is a powerful tool for probing the structural and electronic ...
Tomas Aidukas, Ilnura Usmanova, Benjamín Béjar Haro, Maarten Nachtegaal, Adam H. Clark   +4 more
wiley   +1 more source

Gender‐Sensitive Resilience in Kyrgyz Households: Latent Profile and Cross‐Lagged Dynamic Panel Approaches

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Resilience is still conceptualised as gender‐neutral in research and policy discussions. However, a gendered resilience framework suggests that gender roles and intra‐household dynamics are intricately linked with household resilience. This manuscript aims to analyse the effect of gender role attitudes on climate change resilience.
Bekhzod Egamberdiev, Lena Kuhn, Ihtiyor Bobojonov, Thomas Glauben   +3 more
wiley   +1 more source

Uncovering temporal patterns of wildlife activity, habitat use and habitat preference from camera‐trap data

Methods in Ecology and Evolution, EarlyView.
Abstract An understanding of habitat use and levels of active behaviour is foundational to wildlife behaviour, ecology, conservation and management. These variables are commonly measured by tracking individuals in space and time using biologging. In principle, camera‐trap data also contain information about both activity level and habitat use; however,
J. Marcus Rowcliffe, Laurens R. Dijkhuis, Patrick A. Jansen   +2 more
wiley   +1 more source

Determining the impact of cannabis use on tobacco cessation: Results from a prospective non‐randomized tobacco treatment trial

Addiction, EarlyView.
Abstract Background and aims Tobacco‐cannabis co‐use is associated with increased psychosocial and health harms; however, the treatment literature assessing the impact of co‐use has been mixed and suffers from critical limitations. To date, no prospective studies have evaluated the degree to which cannabis co‐use affects tobacco cessation, nor are ...
Erin A. McClure, Nathaniel Baker, Rachel L. Tomko, Kyle J. Walters, Elizabeth Chapman, Matthew J. Carpenter, Kevin M. Gray   +6 more
wiley   +1 more source