Platelet factor 4 and stromal cell-derived factor are novel prognostic biomarkers for cerebral vasospasm and mortality after subarachnoid hemorrhage [0.03%]
血小板因子4和基质细胞衍生因子是蛛网膜下腔出血后脑血管痉挛和死亡率的新型预后生物标志物
Dilaware Khan,Igor Fischer,Sihmehmet Sahan et al.
Dilaware Khan et al.
Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition associated with high rates of morbidity and mortality, mainly due to post-hemorrhagic complications such as cerebral vasospasm (CVS) and delayed cerebral ischemia (DC...
Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots [0.03%]
基于加工运输复合机器人的节能柔性作业车间调度问题的双自学习协同进化算法
Meizhou Zhang,Min Zhou,Liping Zhang et al.
Meizhou Zhang et al.
The processing-transportation composite robots, with their dual functions of processing and transportation, as well as comprehensive robot-machine interactions, have been widely and efficiently applied in the manufacturing industry, leading...
Fuzzy controller-driven pattern search optimization for a DC-DC boost converter to enhance photovoltaic MPPT performance [0.03%]
基于模糊控制器的图案搜索优化算法提高光伏MPPT性能的BOOST变换器研究
Maher G M Abdolrasol,Sieh Kiong Tiong,Pin Jern Ker et al.
Maher G M Abdolrasol et al.
This article demonstrates maximum power point tracking (MPPT) using a DC-DC boost converter. It introduces an intelligent control technique with fuzzy-based pattern search (PS) optimization for the MPPT controller, enhancing energy conversi...
Aydin Demircioğlu
Aydin Demircioğlu
In radiomics, feature selection methods are primarily used to eliminate redundant features and identify relevant ones. Feature projection methods, such as principal component analysis (PCA), are often avoided due to concerns that recombinin...
Enhancing cybersecurity in virtual power plants by detecting network based cyber attacks using an unsupervised autoencoder approach [0.03%]
基于无监督自编码器方法检测网络攻击以增强虚拟电厂的网络安全
Kumari Nutan Singh,Arup Kumar Goswami,Nalin Behari Dev Chudhury et al.
Kumari Nutan Singh et al.
The increasing adoption of the Internet of Things (IoT) in energy systems has brought significant advancements but also heightened cyber security risks. Virtual Power Plants (VPPs), which aggregate distributed renewable energy resources int...
Machine learning for the prediction of blood transfusion risk during or after mitral valve surgery: a multicenter retrospective cohort study [0.03%]
机器学习在二尖瓣手术期间或术后预测输血风险的多中心回顾性队列研究
Yuhan Wang,Leping Liu,Kexin Fan et al.
Yuhan Wang et al.
This study aimed to identify the optimal prediction method and key preoperative variables for red blood cell (RBC) transfusion risk in patients undergoing mitral valve surgery. We conducted a retrospective study involving 1477 patients from...
Multicenter Study
Scientific reports. 2025 Sep 5;15(1):32380. DOI:10.1038/s41598-025-16924-3 2025
Effects of one year of extreme isolation in Antarctica on olfactory and gustatory functions [0.03%]
南极一年极端隔离对嗅觉和味觉功能的影响
Bea Klos,Sophia Wolf,Kathrin Ohla et al.
Bea Klos et al.
Taste and smell are critical for food intake and maintaining adequate energy balance, particularly in isolated, confined, and extreme (ICE) environments. Hypoxic conditions, low humidity, and limited chemosensory exposure at Concordia Stati...
Hybrid manta ray foraging and sine cosine algorithm for managing power transmission congestion influenced by wind energy [0.03%]
受风能影响的电力传输阻塞管理的混合蝠鲼觅食和正弦余弦算法
Susovan Dutta,Bishaljit Paul,Barnali Kundu et al.
Susovan Dutta et al.
This research work proposes a hybrid Manta ray Forging Optimization- Sine Cosine Algorithm (MRFO-SCA) for Congestion Management (CM) that addresses the power system transmission line congestion cost challenges with the integration of Wind E...
Dynamic Lissajous patterns for real time identification and localization of power quality disturbance [0.03%]
用于实时识别和定位电能质量扰动的动态李萨如图案
Pampa Sinha,Snehalika Snehalika,Ranjith Kumar Gatla et al.
Pampa Sinha et al.
This study proposes a novel and computationally efficient method for real-time identification and localization of power quality (PQ) disturbances in microgrids using dynamic Lissajous patterns formed by voltage and current waveforms. Each p...
Multiscale detection of power quality disturbances and cyber intrusions in smart grids using NSCT and frequency band scalograms [0.03%]
基于NSCT和频率带尺度图的电能质量扰动及网络攻击多尺度检测方法研究
Pampa Sinha,Kaushik Paul,Snehalika Snehalika et al.
Pampa Sinha et al.
This paper presents a novel multiscale signal processing framework for power quality disturbance (PQD) and cyber intrusion detection in smart grids, combining Non-Subsampled Contourlet Transform (NSCT), Split Augmented Lagrangian Shrinkage ...