Mapping Causal Biology: Mendelian Randomization in the Era of Big Data
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen +10 more
wiley +1 more source
Practical Guide and Best Practices for Diffusion NMR Processing With GNAT
A practical and reproducible workflow for diffusion‐NMR (DOSY) data analysis is introduced through a step‐by‐step GNAT tutorial. By establishing clear processing guidelines, validation strategies, and reporting standards, this work aims to reduce variability in diffusion measurements and promote more transparent, comparable, and reliable DOSY studies ...
Tadeu Luiz Gomes Cabral +3 more
wiley +1 more source
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Ultrafast fMRI Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T
ABSTRACT Purpose Aging impacts pulsatility of blood vessels in the brain, reflecting vascular health. Resolving characteristics of cardiac pulsatility requires faster acquisitions than traditional fMRI. An ultrafast fMRI method was developed and applied to sample several harmonics of cardiac pulsations at 7 T.
Charles Marchini +5 more
wiley +1 more source
Intent Arabic text categorisation based on different machine learning and term frequency
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source
Enhancing aviation safety: An 80-year data-driven model for classification of aviation incident and accident. [PDF]
Qureshi S +3 more
europepmc +1 more source
Allocation of Indivisible Items With a Common Preference Graph: Minimizing Total Dissatisfaction
ABSTRACT Allocating indivisible items among a set of agents is a frequently studied discrete optimization problem. In the setting considered in this work, the agents' preferences over the items are assumed to be identical. We consider a very recent measure for the overall quality of an allocation which does not rely on numerical valuations of the items.
Nina Chiarelli +6 more
wiley +1 more source
The role of cognitive function in predicting metabolic risk in schizophrenia: a multi-model comparison incorporating clinical features. [PDF]
Li R +6 more
europepmc +1 more source
An Extended Formulation With Valid Inequalities for the Capacitated Steiner Arborescence Problem
ABSTRACT Given a directed graph, the Capacitated Steiner Arborescence Problem (CSAP) aims to determine the least‐cost connection from the root node to terminal nodes requiring a demand through Steiner nodes coming with a capacity, such that there is a unique path from the root to each terminal. This paper presents a new extended formulation of the CSAP,
Francesco Contu +3 more
wiley +1 more source
Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions. [PDF]
Liu K +6 more
europepmc +1 more source

