Results 61 to 70 of about 16,607 (261)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Advanced Science, EarlyView.This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source
IEEE Access, 2020 This study aims at developing a stochastic hierarchical multimodal hub location modeling framework for cargo delivery systems to capture uncertainty in hub construction cost and travel time at the strategic level.
Xiaoting Shang +5 more
doaj +1 more source
Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution
Advanced Science, EarlyView.Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley +1 more source
Designing a hub covering location problem under uncertainty conditions [PDF]
Decision Science Letters, 2020 Mir Reza Zahedi , Javid Ghahremani Nahr
doaj +1 more source
Hub location problems in transportation networks
Transportation Research Part E: Logistics and Transportation Review, 2011 Abstract In this paper we propose a 4-index formulation for the uncapacitated multiple allocation hub location problem tailored for urban transport and liner shipping network design. This formulation is very tight and most of the tractable instances for MIP solvers are optimally solvable at the root node.
Gelareh, Shahin, Nickel, Stefan
openaire +2 more sources
Advanced Science, EarlyView.This study presents a selective thermal transformation of polycarbonate into hybrid carbon materials. The structured carbon enhances electrochemical performance, particularly in lithium‐ion systems. Investigations reveal improved bimetallic ion diffusivity through the hybrid microstructure, contributing to excellent charge kinetics.
Montajar Sarkar +7 more
wiley +1 more source
Advanced Science, EarlyView.This study develops neural bioprinted piezoelectric scaffolds which construct local “sensor‐effector” circuit, inspired by the skeletal interoception system. Upon US stimulation sensing and mechanoelectrical coupling by PLLA nanofibers, the incorporated DRG neurons effect through Ca2+ influx‐induced enhanced secretion and expression of CGRP.
Yingze Su +18 more
wiley +1 more source
Dynamic + maximal hub location problem for freight transportation planning with rational markets
Advances in Mechanical Engineering, 2019 In this article, a dynamic maximal hub location covering problem for a freight transportation system is studied, in which the model has the possibility of having expansion scenarios for future according to the forecasts of increasing demands.
Roghayyeh Alizadeh, Tatsushi Nishi
doaj +1 more source
Advanced Science, EarlyView.Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source