Sushma Sawraj,Dharmendra Kumar,Ram Pravesh et al.
Sushma Sawraj et al.
The article provides a comprehensive overview of the current and future advances of Photonic crystal fiber (PCF) based biosensors, the research explores the impact of structural parameter variations on phase matching conditions, by investig...
A novel framework for tongue feature extraction framework based on sublingual vein segmentation [0.03%]
基于舌下静脉分割的舌象特征提取框架
Xiaohua Wan,Yulong Hu,Dehui Qiu et al.
Xiaohua Wan et al.
The features of the sublingual veins, including swelling, varicose patterns, and cyanosis, are pivotal in differentiating symptoms and selecting treatments in Traditional Chinese Medicine (TCM) tongue diagnosis. These features serve as a cr...
Molecular Communication-Based Intelligent Dopamine Rate Modulator for Parkinson's Disease Treatment [0.03%]
基于分子通信的智能多巴胺速率调节器帕金森病治疗
Elham Baradari,Ozgur B Akan
Elham Baradari
Parkinson's disease (PD) is a progressive neurodegenerative disease, and it is caused by the loss of dopaminergic neurons in the basal ganglia (BG). Currently, there is no definite cure for PD, and available treatments mainly aim to allevia...
State Observer Synchronization of Three-dimensional Chaotic Oscillatory Systems Based on DNA Strand Displacement [0.03%]
基于DNA strand置换的三维混沌振子系统的状态观测器同步研究
Zicheng Wang,Haojie Wang,Yanfeng Wang et al.
Zicheng Wang et al.
Currently, DNA strand displacement (DSD) as the theoretical basis of DNA chemical reaction networks (CRNs) has promoted the development of chaotic synchronization technique. This paper introduces the synchronization technology of two isomor...
Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching [0.03%]
基于多尺度特征对比和匹配的策略型组学数据集成方法
Jinli Zhang,Hongwei Ren,Zongli Jiang et al.
Jinli Zhang et al.
The analysis and comprehension of multi-omics data has emerged as a prominent topic in the field of bioinformatics and data science. However, the sparsity characteristics and high dimensionality of omics data pose difficulties in terms of e...
A Representation Learning Approach for Predicting circRNA Back-Splicing Event via Sequence-Interaction-Aware Dual Encoder [0.03%]
一种基于序列交互感知的双编码器循环代表学习方法预测circRNA反剪接事件
Chengxin He,Lei Duan,Huiru Zheng et al.
Chengxin He et al.
Circular RNAs (circRNAs) play a crucial role in gene regulation and association with diseases because of their unique closed continuous loop structure, which is more stable and conserved than ordinary linear RNAs. As fundamental work to cla...
Design and Performance Evaluation of Machine Learning-based Terahertz Metasurface Chemical Sensor [0.03%]
基于机器学习的太赫兹超表面化学传感器的设计与性能评估
Abdullah Baz,Jacob Wekalao,Ngaira Mandela et al.
Abdullah Baz et al.
This paper presents a terahertz metasurface based sensor design incorporating graphene and other plasmonic materials for highly sensitive detection of different chemicals. The proposed sensor employs the combination of multiple resonator de...
Multiple Heterogeneous Networks Representation With Latent Space for Synthetic Lethality Prediction [0.03%]
基于潜在空间的多重异构网络表示以用于合成致死预测
Xiangjin Hu,Haoran Yi,Hao Cheng et al.
Xiangjin Hu et al.
Computational synthetic lethality (SL) method has become a promising strategy to identify SL gene pairs for targeted cancer therapy and cancer medicine development. Feature representation for integrating various biological networks is cruti...
An Improved Framework for Drug-Side Effect Associations Prediction via Counterfactual Inference-Based Data Augmentation [0.03%]
基于反事实推理的数据增强的药物副作用关联预测框架改善方案研究
Wenjie Yao,Ankang Wei,Zhen Xiao et al.
Wenjie Yao et al.
Detecting side effects of drugs is a fundamental task in drug development. With the expansion of publicly available biomedical data, researchers have proposed many computational methods for predicting drug-side effect associations (DSAs), a...
Ontology-Based Data Collection for a Hybrid Outbreak Detection Method Using Social Media [0.03%]
基于本体的数据收集方法用于社交媒体混合爆发检测模型
Ghazaleh Babanejaddehaki,Aijun An,Heidar Davoudi
Ghazaleh Babanejaddehaki
Given the persistent global challenge presented by rapidly spreading diseases, as evidenced notably by the widespread impact of the COVID-19 pandemic on both human health and economies worldwide, the necessity of developing effective infect...