Results 281 to 290 of about 1,529,767 (368)

Leveraging drone technology in health systems strengthening: A cost-effectiveness analysis from Northeast India. [PDF]

J Family Med Prim Care
Gupta P, Bhatia R, Choudhury RK, Kotwal A.   +3 more
europepmc   +1 more source

Cholesterol Promotes Lung Adenocarcinoma Brain Metastasis by Stabilizing EGFR Protein to Drive EMT, Metabolic Reprogramming, and Premetastatic Niche Formation

Advanced Science, EarlyView.
Cholesterol is revealed as a multitasking fuel for lung adenocarcinoma brain metastasis: it locks EGFR at the membrane to sustain AKT/NF‐κB–driven glycolysis and EMT, loosens the blood–brain barrier by promoting Claudin‐5 loss, and rewires microglia through IL‐4R lipid‐raft–JAK1/STAT6 signaling.
Ying Chen, Xiaoteng Cui, Xinyi Shi, Xu Yang, Yujing Cao, Haolin LI, Qi Zhan, Qixue Wang, Ang Li, Qihong Cheng, Yunfei Wang, Junhu Zhou, MingJie Wang, Chunsheng Kang, Xiaomin Liu   +14 more
wiley   +1 more source

Abnormally expressed lncRNAs as potential biomarkers for schizophrenia and positive symptoms. [PDF]

Sci Prog
Song HT, Niu W, Yao GF, Chen SD, Kong LM, Zhang LY, Liu H.   +6 more
europepmc   +1 more source

A Proposed Reverse Logistics Network for End-of-Life Electric Vehicle Battery Management in the Jakarta Greater Area: A MILP Approach [PDF]

Ibrahim Zaki Bafadal, Romadhani Ardi, Nabila Salsabila   +2 more
openalex   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities. [PDF]

Sci Rep
Qi Y, Jiang H, Huang G, Wang F, Ye L.
europepmc   +1 more source

Machine Learning in Reverse Logistics: A Systematic Literature Review [PDF]

ABNER FERNANDES SOUZA DA SILVA, Virgínia Aparecida da Silva Moris, João Eduardo Azevedo Ramos da Silva, Murilo Aparecido Voltarelli, Tiago F. A. C. Sigahi   +4 more
openalex   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Incidence and drivers of medication returned to health facilities by patients in low- and middle-income countries: a scoping review protocol. [PDF]

BMJ Open
Kutina C, Dugle G, Bawontuo V.
europepmc   +1 more source

Dollars for Drops: Abatement Cost of Water for Irrigation in the Colorado River Basin

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Colorado River is a lifeline for more than 40 million people in the western United States. However, with climate change diminishing snowpacks in the Rocky Mountains and increasing demands from agriculture and urban areas, the river's flow has become insufficient to meet all the competing needs.
Shahin Bahrami, Mani Rouhi Rad, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source