Results 171 to 180 of about 1,707,394 (241)

Artificial Neural Network Driven Computational Modeling of Naegleria fowleri Epidemics Using Variational Optimization

Advanced Physics Research, Volume 5, Issue 9, September 2026.
ABSTRACT This study presents a mathematical framework to analyze the transmission dynamics of an amoeba‐induced central nervous system infection. The population is divided into compartments including susceptible, exposed, infected, quarantined, hospitalized, recovered, protected, and deceased.
Wakeel Ahmed, Areej Yaseen, Ghulamullah Saeedi, Shakeel Ahmed   +3 more
wiley   +1 more source

Seascape Genomics Uncovers Weak Signs of Local Adaptation Despite Bottleneck Events, High Inbreeding and Low Heterozygosity in the Vulnerable Smooth Hammerhead Shark (Sphyrna zygaena)

Aquatic Conservation: Marine and Freshwater Ecosystems, Volume 36, Issue 9, September 2026.
ABSTRACT The smooth hammerhead shark (Sphyrna zygaena) is a highly migratory pelagic predator classified as Vulnerable due to overexploitation and rapid climate change. However, its genomic diversity, connectivity patterns and demographic history remain poorly understood.
Bruno Lopes da Silva Ferrette, Rui Coelho, Rodrigo Rodrigues Domingues, Diego Peres Alonso, Paulo Eduardo Martins Ribolla, Claudio Oliveira, Fernando Fernandes Mendonça   +6 more
wiley   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

Development and validation of a hypertension risk prediction model using electronic health records data from general practices in Hampshire and Isle of Wight integrated care system. [PDF]

BMC Cardiovasc Disord
Gammall J, Ruffini D, Parmar S, Mastellos N, Beegan L, Griffiths K, Gibbons C, Betteridge R.   +7 more
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Feature-Level Reliability of Directional-Kernel Richardson-Lucy Deblurring Under Kernel-Length and Direction Controls. [PDF]

Sensors (Basel)
Ku X, Xue R, Liang Y.
europepmc   +1 more source

FedGATE: Topology‐Aware Personalized Federated Learning With Utility and Carbon‐Aware Scheduling for Mobile Traffic Prediction

Concurrency and Computation: Practice and Experience, Volume 38, Issue 18, September 2026.
ABSTRACT Accurate mobile traffic prediction is important for proactive resource allocation, congestion management, and service assurance in fifth‐generation and emerging sixth‐generation networks. Centralized deep‐learning approaches can provide strong forecasting performance but require raw traffic data to be transferred to a common server, creating ...
Muhammad Qasim, Muhammad Imran, Muhammad Ahmad Bilal, Adil Masood Siddiqui, Maryam Rasool, Muhammad Junaid Khan, Hassan Khan   +6 more
wiley   +1 more source

Outlier detection in state-space models using mean-shift penalisation. [PDF]

Stat Comput
Shankar R, Wilms I, Raymaekers J, Tarr G.   +3 more
europepmc   +1 more source

From Executor to Orchestrator: The Pharmacology Scientist in the Age of Agentic AI

Clinical Pharmacology &Therapeutics, Volume 120, Issue 3, Page 648-662, September 2026.
Drug development productivity has not improved despite five decades of computational advancement, with the probability that a compound entering Phase I achieving regulatory approval remaining near 10%. Each automation wave increased throughput while leaving the interpretive bottleneck intact; scientists continued to formulate questions, evaluate ...
Michael McCoy, Matthew McCoy
wiley   +1 more source

Class-adaptive oracle-free metamorphic test case prioritization framework for vision-based deep neural networks. [PDF]

Sci Rep
Li J, Mohamad R, Ahmad J.
europepmc   +1 more source