Results 131 to 140 of about 14,176 (292)

Caffeine Consumption and Rhinologic Symptom Severity

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Caffeine is the most widely consumed habit‐forming drug in the world. A relationship has been proposed between caffeine consumption and rhinologic symptoms. To determine whether the potential deleterious effects of caffeine withdrawal are outweighed by the rhinologic symptom benefits, our group conducted a prospective study of patients ...
Duncan G. J. Green, Steven X. Wang, Michael S. DeBakey, Nrusheel Kattar, Edward D. McCoul   +4 more
wiley   +1 more source

Familiarity and aggression shape long‐term associations and mortality risk in a solitary ungulate

Oikos, EarlyView.
Periodic social interactions are important to animal fitness, even in solitary species. For solitary species, these interactions can be unexpected and shaped by previous encounters. Despite being aggressive and largely solitary, black rhinoceroses Diceros bicornis are commonly seen in groups, suggesting they may engage in more social behaviours than ...
Rachel M. Stein, Adrian M. Shrader
wiley   +1 more source

Generalizing the Gaussian Network Model: Spanning‐Tree Thermodynamics Shows Entropy‐Driven KRAS Activation

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley   +1 more source

Exchange Rates, Foreign Income, and U.S. Agricultural Exports

While it is generally accepted that change in the real value of the dollar is an important determinant of exports, it has not been rigorously demonstrated that this relationship, derivable from theory, holds empirically for agricultural exports and the ...
Somwaru, Agapi, Roe, Terry L., Shane, Mathew   +2 more
core   +1 more source

Heuristic chaining in directed acyclic graphs

, 1993
In this paper we look at the problem of generating code with instruction chaining from directed acyclic graphs (DAGs). The problem is shown to be NP-complete.
Venugopal, R, Srikant, YN
core  

Influence, originality and similarity in directed acyclic graphs

, 2011
We introduce a framework for network analysis based on random walks on directed acyclic graphs where the probability of passing through a given node is the key ingredient.
M. Medo, Zhang, Yi-Cheng, Y.-C. Zhang, S. Gualdi, Medo, Matúš, Gualdi, Stanislao   +5 more
core   +1 more source

Why theory matters for causal inference? Rethinking endogeneity in entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Endogeneity in entrepreneurship research is often treated as a statistical complication addressable through advanced econometric tools. This commentary argues that such an approach overlooks a deeper issue: endogeneity is conceptual before it is statistical.
Daniel Tzabbar
wiley   +1 more source

The electromagnetic transient simulation acceleration algorithm based on delay mitigation of dynamic critical paths

Energy Informatics
The task scheduling problem based on directed acyclic graphs (DAGs) has been proven to be NP-complete in general cases or under certain restrictions.
Qi Guo, Yuanhong Lu, Jie Zhang, Jingyue Zhang, Libin Huang, Haiping Guo, Tianyu Guo, Liang Tu   +7 more
doaj   +1 more source

From prediction to intervention: Paradigm shifts in causal AI for precision medicine and large‐scale cohorts

VIEW, EarlyView.
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao, Yudian Xu, Yifan Chen, Honghao Huang, Wei Xu, Jun Pu   +5 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source