Results 101 to 110 of about 144,902 (310)

CXC Chemokine‐Driven Vascular Reprogramming: Modulating Tumor Vasculature to Boost Therapeutic Response

open access: yesAdvanced Science, EarlyView.
Tumor vascular remodeling is discussed from a chemokine‐centered perspective. This review summarizes the bidirectional, temporal, and tissue‐specific roles of CXC chemokines in regulating vascular function and immune accessibility. A functional vascular normalization score is introduced as a conceptual framework to integrate dynamic vascular and immune
Hongdan Chen   +7 more
wiley   +1 more source

A Heuristic Routing Algorithm for Heterogeneous UAVs in Time-Constrained MEC Systems

open access: yesDrones
The rapid proliferation of Internet of Things (IoT) ground devices (GDs) has created an unprecedented demand for computing resources and real-time data-processing capabilities.
Long Chen, Guangrui Liu, Xia Zhu, Xin Li
doaj   +1 more source

Finding solution by Tabu search [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2003
In this paper, the method of finding the solution by Tabu search is addressed. Tabu search is one of the local search heuristics, which has been applied extensively in operations research works.
Ratanamanee, W., Pathumnakul, S.
doaj  

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya   +8 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

The power of intuition in decision-making under operational stress

open access: yesBulletin of "Carol I" National Defense University
The decision-making process represents one of the most interesting subjects in the field of cognitive sciences, as it is a concept that requires a complex multi- and interdisciplinary approach.
Cătălin-Constantin CĂLIN
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Heuristic Authorship Obfuscation [PDF]

open access: gold, 2019
Janek Bevendorff   +3 more
openalex   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek   +23 more
wiley   +1 more source

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