IEEE Transactions on NanoBioscience最新文献_第4页

Impact of Gold Nanoparticles Intraperitoneal Injection on Mice’s Erythrocytes and Renal Tissue 金纳米粒子腹腔注射对小鼠红细胞和肾组织的影响

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-10-03 DOI: 10.1109/TNB.2024.3471813

Hassan A. Almarshad;Abozer Elderdery;Fawaz O. Alenazy;Shawgi A. Elissidig

{"title":"Impact of Gold Nanoparticles Intraperitoneal Injection on Mice’s Erythrocytes and Renal Tissue","authors":"Hassan A. Almarshad;Abozer Elderdery;Fawaz O. Alenazy;Shawgi A. Elissidig","doi":"10.1109/TNB.2024.3471813","DOIUrl":"10.1109/TNB.2024.3471813","url":null,"abstract":"The purpose of this study was to investigate the effects of two different types of gold nanoparticles (AuNPs) delivered by intraperitoneal (IP) injection on blood and kidney tissue changes in a mouse model. Three groups of fifteen adult male BALB/c healthy mice, weighing approximately 25- 30 g, were used for the experiment and designated G1, G2, and G3, respectively. G1 mice received vehicle, whereas G2 and G3 received an IP injection of 10 mg/kg body weight of methoxy poly ethylene glycol gold nanoparticles (PEG-AuNPs) and fluorescently dye labeled gold nanoparticles (Dye-AuNPs), respectively. Hematological parameters were measured based on the standard complete blood cell count (CBC) technique. The two nanoparticles, i.e., PEG-AuNPs and Dye-AuNPs, significantly reduced most red blood cell (RBC) parameters in the groups with the exception of a nonsignificant effect on hemoglobin (HBG) levels. Both gold nanoparticles, i.e., PEG-AuNPs and Dye-AuNPs, led to a reduced RBC count, mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) level when compared with the control. Notably, Dye-AuNPs and PEG-AuNPs resulted in a considerably higher RBC distribution RDW- (CV % and SD fL). Glomerular injury was suggested based on the development of hydropic degeneration and the presence of a protein-rich fluid inside the tubules. Renal tissue and blood indices changed significantly in response to the two nanoparticles, suggesting possible organ injury.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"174-179"},"PeriodicalIF":3.7,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142371713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Anomalous Diffusion Phenomenon on Molecular Information Delivery in Bounded Environment 反常扩散现象对有界环境中分子信息传递的影响

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-25 DOI: 10.1109/TNB.2024.3467695

Lokendra Chouhan

{"title":"Impact of Anomalous Diffusion Phenomenon on Molecular Information Delivery in Bounded Environment","authors":"Lokendra Chouhan","doi":"10.1109/TNB.2024.3467695","DOIUrl":"10.1109/TNB.2024.3467695","url":null,"abstract":"Through this paper, a three-dimensional molecular communication (MC) inside a cuboid container is considered. Instead of normal diffusion phenomenon, the anomalous diffusion phenomenon is incorporated which enhances the practicability of the model. The Fick’s law is re-defined for the considering rectangular coordinate system in which information carrying molecules (ICMs) diffuse anomalously in the environment. The impact of flow of the fluid along the <inline-formula> <tex-math>$+{x}$ </tex-math></inline-formula> direction in the environment is also considered. Moreover, considering free propagator phenomenon, the expressions of spatio-temporal probability density function (PDF) of the ICMs is derived for the considered model. Further, the novel closed-form expressions for first arrival time density (FATD) of the ICM, survival probability (SP) at any time, and its corresponding first arrival probability (FAP) are also derived. Furthermore, the considered MC model is also analyzed in terms of minimum bit-error-rate (BER) using log-likelihood ratio test (LLRT) optimal detector. The derived expressions are verified using MATLAB based particle-based and Monte-Carlo simulations.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"165-173"},"PeriodicalIF":3.7,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142345830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PCF-Based Sensors for Biomedical Applications: A Review 基于 PCF 的生物医学应用传感器--综述

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-17 DOI: 10.1109/TNB.2024.3462748

Sushma Sawraj;Dharmendra Kumar;Ram Pravesh;Vijay Shanker Chaudhary;Bramha Prasad Pandey;Sneha Sharma;Santosh Kumar

引用次数: 0

A novel framework for tongue feature extraction framework based on sublingual vein segmentation 基于舌下静脉分割的新型舌头特征提取框架

IF 3.9 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-17 DOI: 10.1109/tnb.2024.3462461

Xiaohua Wan, Yulong Hu, Dehui Qiu, Juan Zhang, Xiaotong Wang, Fa Zhang, Bin Hu

引用次数: 0

Molecular Communication-Based Intelligent Dopamine Rate Modulator for Parkinson’s Disease Treatment 用于帕金森病治疗的基于分子通讯的智能多巴胺速率调节器

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-12 DOI: 10.1109/TNB.2024.3456031

Elham Baradari;Ozgur B. Akan

{"title":"Molecular Communication-Based Intelligent Dopamine Rate Modulator for Parkinson’s Disease Treatment","authors":"Elham Baradari;Ozgur B. Akan","doi":"10.1109/TNB.2024.3456031","DOIUrl":"10.1109/TNB.2024.3456031","url":null,"abstract":"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 alleviate its symptoms. Due to impaired neurotransmitter-based information transmission in PD, molecular communication-based approaches can be employed as potential solutions to address this issue. Molecular Communications (MC) is a bio-inspired communication method utilizing molecules to carry information. This mode of communication stands out for developing bio-compatible nanomachines for diagnosing and treating, particularly in addressing neurodegenerative diseases like PD, due to its compatibility with biological systems. This study presents a novel treatment method that introduces an Intelligent Dopamine Rate Modulator (IDRM), which is located in the synaptic gap between the substantia nigra pars compacta (SNc) and striatum to compensate for insufficiency dopamine release in BG caused by PD. For storing dopamine in the IDRM, dopamine compound (DAC) is swallowed and crossed through the digestive system, blood circulatory system, blood-brain barrier (BBB), and brain extracellular matrix uptakes with IDRMs. Here, the DAC concentration is calculated in these regions, revealing that the required exogenous dopamine consistently reaches IDRM. Therefore, the perpetual dopamine insufficiency in BG associated with PD can be compensated. This method reduces drug side effects because dopamine is not released in other brain regions. Unlike other treatments, this approach targets the root cause of PD rather than just reducing symptoms.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"136-144"},"PeriodicalIF":3.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State Observer Synchronization of Three-Dimensional Chaotic Oscillatory Systems Based on DNA Strand Displacement 基于 DNA 链位移的三维混沌振荡系统的状态观测器同步化

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-11 DOI: 10.1109/TNB.2024.3457755

Zicheng Wang;Haojie Wang;Yanfeng Wang;Junwei Sun

{"title":"State Observer Synchronization of Three-Dimensional Chaotic Oscillatory Systems Based on DNA Strand Displacement","authors":"Zicheng Wang;Haojie Wang;Yanfeng Wang;Junwei Sun","doi":"10.1109/TNB.2024.3457755","DOIUrl":"10.1109/TNB.2024.3457755","url":null,"abstract":"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 isomorphic three-dimensional chaotic systems based on DNA strand displacement under state observer. By studying the theoretical knowledge of DNA molecules, multiple DSD reactions are used to construct three-dimensional chaotic system. Based on two isomorphic chaotic systems, the linear transformation system and the state observer system are designed according to the theory of state observer construction. In addition, in order to realize the synchronization of chaotic systems, a coupling controller is designed between the drive system and the linear transformation system, and a soft variable-structure controller is designed between the state observer system and the response system. Through multiple DSD reactions, the chemical reaction networks of four chaotic systems and two controllers are constructed, and they are cascaded to realize the synchronization of two isomorphic three-dimensional chaotic systems. Numerical simulations verify the effectiveness and robustness of the scheme. Our work will extend and provide a reference for new methods to achieve synchronization of chaotic systems using DSD.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"145-156"},"PeriodicalIF":3.7,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching 通过多层次特征对比和匹配实现战略性多传感器数据整合

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-10 DOI: 10.1109/TNB.2024.3456797

Jinli Zhang;Hongwei Ren;Zongli Jiang;Zheng Chen;Ziwei Yang;Yasuko Matsubara;Yasushi Sakurai

{"title":"Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching","authors":"Jinli Zhang;Hongwei Ren;Zongli Jiang;Zheng Chen;Ziwei Yang;Yasuko Matsubara;Yasushi Sakurai","doi":"10.1109/TNB.2024.3456797","DOIUrl":"10.1109/TNB.2024.3456797","url":null,"abstract":"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 extracting meaningful information. Moreover, the heterogeneity inherent in multiple omics sources makes the effective integration of multi-omics data challenging To tackle these challenges, we propose MFCC-SAtt, a multi-level feature contrast clustering model based on self-attention to extract informative features from multi-omics data. MFCC-SAtt treats each omics type as a distinct modality and employs autoencoders with self-attention for each modality to integrate and compress their respective features into a shared feature space. By utilizing a multi-level feature extraction framework along with incorporating a semantic information extractor, we mitigate optimization conflicts arising from different learning objectives. Additionally, MFCC-SAtt guides deep clustering based on multi-level features which further enhances the quality of output labels. By conducting extensive experiments on multi-omics data, we have validated the exceptional performance of MFCC-SAtt. For instance, in a pan-cancer clustering task, MFCC-SAtt achieved an accuracy of over 80.38%.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"23 4","pages":"579-590"},"PeriodicalIF":3.7,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142213696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Performance Evaluation of Machine Learning-Based Terahertz Metasurface Chemical Sensor 基于机器学习的太赫兹元表面化学传感器的设计与性能评估。

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-03 DOI: 10.1109/TNB.2024.3453372

Abdullah Baz;Jacob Wekalao;Ngaira Mandela;Shobhit K. Patel

{"title":"Design and Performance Evaluation of Machine Learning-Based Terahertz Metasurface Chemical Sensor","authors":"Abdullah Baz;Jacob Wekalao;Ngaira Mandela;Shobhit K. Patel","doi":"10.1109/TNB.2024.3453372","DOIUrl":"10.1109/TNB.2024.3453372","url":null,"abstract":"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 designs - including circular and square ring resonators - to attain enhanced sensitivity among other performance parameters. Machine learning techniques like Random Forest regression, are employed to enhance the sensor design and predict its performance. The optimized sensor demonstrates excellent sensitivity of 417 GHzRIU<inline-formula> <tex-math>$^{mathbf {-{1}}}$ </tex-math></inline-formula> and a low detection limit of 0.264 RIU for ethanol and benzene detection. Furthermore, the integration of machine learning cuts down the simulation time and computational requirements by approximately 90% without compromising accuracy. The sensor’s unique design and performance characteristics, including its high-quality factor of 14.476, position it as a promising candidate for environmental monitoring and chemical sensing applications. Moreover, it also demonstrates potential for 2-bit encoding applications through strategic modulation of graphene chemical potential values. On the other hand, it also shows prospects of 2-bit encoding applications via the modulation of graphene chemical. This work provides a major advancement to the terahertz sensing application by proposing new materials, structures, and methods in computation in order to develop a high-performance chemical sensor.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"24 2","pages":"128-135"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Representation Learning Approach for Predicting circRNA Back-Splicing Event via Sequence-Interaction-Aware Dual Encoder 通过序列交互感知双编码器预测 circRNA 回接事件的表征学习方法

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-09-03 DOI: 10.1109/TNB.2024.3454079

Chengxin He;Lei Duan;Huiru Zheng;Xinye Wang;Lili Guan;Jiaxuan Xu

{"title":"A Representation Learning Approach for Predicting circRNA Back-Splicing Event via Sequence-Interaction-Aware Dual Encoder","authors":"Chengxin He;Lei Duan;Huiru Zheng;Xinye Wang;Lili Guan;Jiaxuan Xu","doi":"10.1109/TNB.2024.3454079","DOIUrl":"10.1109/TNB.2024.3454079","url":null,"abstract":"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 clarify their functions, a large number of computational approaches for identifying circRNA formation have been proposed. However, these methods fail to fully utilize the important characteristics of back-splicing events, i.e., the positional information of the splice sites and the interaction features of its flanking sequences, for predicting circRNAs. To this end, we hereby propose a novel approach called SIDE for predicting circRNA back-splicing events using only raw RNA sequences. Technically, SIDE employs a dual encoder to capture global and interactive features of the RNA sequence, and then a decoder designed by the contrastive learning to fuse out discriminative features improving the prediction of circRNAs formation. Empirical results on three real-world datasets show the effectiveness of SIDE. Further analysis also reveals that the effectiveness of SIDE.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"23 4","pages":"603-611"},"PeriodicalIF":3.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple Heterogeneous Networks Representation With Latent Space for Synthetic Lethality Prediction 利用潜空间的多重异构网络表示法进行合成致死率预测

IF 3.7 4区生物学

IEEE Transactions on NanoBioscience Pub Date : 2024-08-16 DOI: 10.1109/TNB.2024.3444922

Xiangjin Hu;Haoran Yi;Hao Cheng;Yijing Zhao;Dongqi Zhang;Jinxin Li;Jingjing Ruan;Jin Zhang;Xinguo Lu

{"title":"Multiple Heterogeneous Networks Representation With Latent Space for Synthetic Lethality Prediction","authors":"Xiangjin Hu;Haoran Yi;Hao Cheng;Yijing Zhao;Dongqi Zhang;Jinxin Li;Jingjing Ruan;Jin Zhang;Xinguo Lu","doi":"10.1109/TNB.2024.3444922","DOIUrl":"10.1109/TNB.2024.3444922","url":null,"abstract":"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 crutial to improve the identification performance. However, previous feature representation, such as matrix factorization and graph neural network, projects gene features onto latent variables by keeping a specific geometric metric. There is a lack of models of gene representational latent space with considerating multiple dimentionalities correlation and preserving latent geometric structures in both sample and feature spaces. Therefore, we propose a novel method to model gene Latent Space using matrix Tri-Factorization (LSTF) to obtain gene representation with embedding variables resulting from the potential interpretation of synthetic lethality. Meanwhile, manifold subspace regularization is applied to the tri-factorization to capture the geometrical manifold structure in the latent space with gene PPI functional and GO semantic embeddings. Then, SL gene pairs are identified by the reconstruction of the associations with gene representations in the latent space. The experimental results illustrate that LSTF is superior to other state-of-the-art methods. Case study demonstrate the effectiveness of the predicted SL associations.","PeriodicalId":13264,"journal":{"name":"IEEE Transactions on NanoBioscience","volume":"23 4","pages":"564-571"},"PeriodicalIF":3.7,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141992287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0