IEEE Transactions on Molecular, Biological, and Multi-Scale Communications最新文献_第4页

Multiscale Astrocyte Network Calcium Dynamics for Biologically Informed Intelligence in Anomaly Detection 多尺度星形胶质细胞网络钙动力学在异常检测中的生物知情智能

IF 2.5

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-09-07 DOI: 10.1109/TMBMC.2026.3731508

Berk Iskar;Michael T. Barros

{"title":"Multiscale Astrocyte Network Calcium Dynamics for Biologically Informed Intelligence in Anomaly Detection","authors":"Berk Iskar;Michael T. Barros","doi":"10.1109/TMBMC.2026.3731508","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3731508","url":null,"abstract":"Network anomaly detectors trained offline can lose performance as traffic patterns and attack distributions change over time. We introduce an astrocyte-informed Ca2+-modulated learning framework that couples a multicellular Ca2+ simulator to a deep neural network (DNN). The simulator captures IP3-mediated Ca2+ release, SERCA uptake, and conductance-aware diffusion through gap junctions. Its output contributes to a metaplastic learning rule in which local, heterosynaptic, postsynaptic, supervisory, and multicellular Ca2+ signals regulate gradient updates through an adaptive threshold. We evaluate the framework on CTU-13 Neris traffic using conventional and leakage-controlled chronological settings, strong adaptive DNN baselines, and five-seed ablations. Under temporal distribution shift, the full Ca2+ model gives the strongest mean performance among the evaluated adaptive baselines and reduces missed detections relative to the matched DNN. Factorial ablation identifies Ca2+ gating as the main contributor to this gain: Laplacian regularisation alone provides little improvement, whereas removing the multicellular Ca2+ term substantially reduces performance. Randomised, shuffled, and constant-signal controls further show that the benefit is linked to Ca2+-dependent metaplastic regulation, while the precise temporal waveform is not uniquely required. These results support astrocyte-informed Ca2+ signalling as a mechanism for regulating neural-network adaptation under changing data distributions.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"1029-1036"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149033612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-Nanomaterial Functionalized Optical Fiber Sensor for Label-Free Detection of Pathogenic Staphylococcus aureus Strains 双纳米材料功能化光纤传感器用于病原菌金黄色葡萄球菌的无标签检测

IF 2.5

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-04-28 DOI: 10.1109/TMBMC.2026.3688408

Nasih Hma Salah;Chella Santhosh;Hogr M. Rasul;Yesudasu Vasimalla;Ramachandran Balaji;Ragini Singh

{"title":"Dual-Nanomaterial Functionalized Optical Fiber Sensor for Label-Free Detection of Pathogenic Staphylococcus aureus Strains","authors":"Nasih Hma Salah;Chella Santhosh;Hogr M. Rasul;Yesudasu Vasimalla;Ramachandran Balaji;Ragini Singh","doi":"10.1109/TMBMC.2026.3688408","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3688408","url":null,"abstract":"This study suggests a dual-nanomaterial functionalized optical fiber sensor for the label-free detection of pathogenic strains of Staphylococcus aureus that uses copper-zinc (Cu-Zn) alloy and aluminum nitride (AlN) nanomaterials. The sensor’s multilayer construction is tuned for high sensitivity and accuracy, based on fiber optical surface plasmon resonance (FOSPR) phenomena. The AlN layer shields the metal film and improves performance, while the Cu-Zn alloy layer serves as the plasmonic medium. S. aureus Duncan and S. aureus 52A5 strains are detected by the improved sensor with maximum sensitivities of 4096.15 and <inline-formula> <tex-math>$3750{nm}/ {RIU}$ </tex-math></inline-formula>, Figure of merit of 9.5038 and <inline-formula> <tex-math>$8.9286~{RIU}^{-{1}}$ </tex-math></inline-formula>, detection limit of 0.0837 and 0.0966, sensor resolution of 342.697 and 362.199, limit of detection of 2.4413 and <inline-formula> <tex-math>$2.667times {10}^{-{4}}$ </tex-math></inline-formula>, quality factor of 3.190 and <inline-formula> <tex-math>$3.1238~{RIU}^{-{1}}$ </tex-math></inline-formula>, detection range of 66.231 and 64.019, and signal-to-noise ratio of 0.494 and 0.375 for detection of S. Aureus Duncan and S. Aureus 52A5, respectively. These results demonstrate the sensor’s capacity to deliver quick, label-free, and extremely sensitive detection appropriate for clinical and biomedical applications as compared with the existing work.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"510-516"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148509363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Inferring the Chemotaxis Distortion Function From Cellular Decision Strategies 从细胞决策策略推断趋化畸变函数

IF 2.3

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-03-13 DOI: 10.1109/TMBMC.2026.3692999

Fardad Vakilipoor;Johannes Konrad;Maximilian Schäfer

{"title":"Inferring the Chemotaxis Distortion Function From Cellular Decision Strategies","authors":"Fardad Vakilipoor;Johannes Konrad;Maximilian Schäfer","doi":"10.1109/TMBMC.2026.3692999","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3692999","url":null,"abstract":"Cellular intelligence allows cells to process environmental signals and make context-dependent decisions. This is clearly seen in chemotaxis, where cells navigate chemical gradients despite noisy signaling pathways. To investigate how cells deal with uncertainty, an information-theoretic framework based on rate-distortion theory (RDT) is applied. The Blahut-Arimoto algorithm (BAA) computes optimal decision strategies that minimize mutual information while satisfying distortion constraints, balancing sensing accuracy with distortion constraint equivalent to resource cost. The inverse Blahut-Arimoto algorithm (IBAA) is proposed to compute the distortion function, which quantifies the system’s decision-making criteria for realizing a decision strategy to map input signals to outputs. This general framework extends beyond chemotaxis to biological and engineered systems requiring efficient information processing under uncertainty. The proposed IBAA is validated by estimating theoretical distortion functions in a binary decision scenario, which is similar to apoptosis. Additionally, using the local excitation global inhibition (LEGI) model to simulate chemotactic responses, the distortion function from the cell’s perspective is computed. The finding reveals that the decision criterion, i.e., the distortion function, of the cell in chemotaxis processes is fixed regardless of the cell’s state. This observation is analogous to any system view where the decision criterion is fixed while the optimal decision strategy can vary based on the environmental conditions.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"599-614"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148003571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methodological Advances in Uncertainty-Aware Spectral Modeling for Raman Spectroscopy in Biological Systems 生物系统中拉曼光谱不确定性感知光谱建模方法研究进展

IF 2.3

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-03-30 DOI: 10.1109/TMBMC.2026.3679276

Matias Heikkinen;Pasi Luukka

{"title":"Methodological Advances in Uncertainty-Aware Spectral Modeling for Raman Spectroscopy in Biological Systems","authors":"Matias Heikkinen;Pasi Luukka","doi":"10.1109/TMBMC.2026.3679276","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3679276","url":null,"abstract":"Reliable in-field plant health monitoring using Raman spectroscopy remains challenging due to substantial measurement uncertainty, intensity fluctuations, and uncontrolled environmental conditions. Traditional chemometric approaches typically rely on mean comparisons between predefined treatment groups, making them unsuitable for practical diagnostics where only healthy reference data and unknown samples are available. To overcome this limitation, we introduce a heuristic, uncertainty-aware, semi-supervised anomaly-detection framework for Raman spectral analysis that focuses on relative spectral shape rather than absolute intensities, thereby minimizing the need for preprocessing steps such as spectral normalization. The proposed model infers spectral deviations by comparing the empirical distribution of pairwise similarities between an unknown sample and control spectra to the natural variability within the control group. This approach enables plant health detection directly from spectral similarity without requiring parametric statistical assumptions or fixed class definitions. Experimental results on basil plants exposed to different metal sulfate treatments demonstrate that the proposed method effectively separates pollutant-induced spectral deviations while correctly identifying the majority of healthy unknown samples.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"467-481"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11457920","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Theoretical Framework for Run-Length-Limited Coding in Composite DNA 复合DNA中限定跑长编码的理论框架

IF 2.5

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-07-21 DOI: 10.1109/TMBMC.2026.3715557

Dang Hai Dang;Sunghwan Kim

{"title":"A Theoretical Framework for Run-Length-Limited Coding in Composite DNA","authors":"Dang Hai Dang;Sunghwan Kim","doi":"10.1109/TMBMC.2026.3715557","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3715557","url":null,"abstract":"Composite DNA alphabets significantly enhance the information capacity of DNA-based storage systems but necessitate strict run-length-limited (RLL) constraints to prevent homopolymer-induced synthesis and sequencing errors. Existing constrained code constructions for these alphabets either rely solely on numerical capacity estimates or suffer from non-linear encoding complexity. Although recent general constrained-coding methods have been proposed, they require constraint-specific auxiliary computations that are impractical for RLL constraints over composite DNA alphabets due to the exponential growth in forbidden substrings. To address these challenges, this paper introduces the run-length semantics and decomposition (RS&D) framework, which fundamentally simplifies RLL constraints by defining how runs are extended or reset using two elementary operators. Based on this framework, we present two primary contributions: 1)derivation of closed-form capacity expressions of minimal polynomial degree using recurrence-based ranking and the trace method; and 2) guaranteed linear-time sequence-replacement encoder applicable to any composite DNA alphabet. Furthermore, RS&D reorders composite DNA alphabets by efficiency and identifies a six-symbol alphabet that maximizes performance within the RS&D linear-time encoding constraints.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"762-776"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hash-Driven Dynamic Encoding for Secure and Biologically Inert DNA Data Storage 安全与生物惰性DNA数据存储的哈希驱动动态编码

IF 2.5

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-06-29 DOI: 10.1109/TMBMC.2026.3708209

Bowen Yang;Haijian Shao;Xing Deng;Yingtao Jiang

{"title":"Hash-Driven Dynamic Encoding for Secure and Biologically Inert DNA Data Storage","authors":"Bowen Yang;Haijian Shao;Xing Deng;Yingtao Jiang","doi":"10.1109/TMBMC.2026.3708209","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3708209","url":null,"abstract":"DNA storage offers the advantages of massive capacity, long-term stability, and low power consumption relative to conventional storage media, making it a promising next-generation medium for digital information such as images. However, existing schemes face significant hurdles in coding density, precise biochemical constraint control, and biosafety assurance. To achieve more reliable and secure DNA storage image reconstruction, this work proposes an encoding framework integrating cryptographic hash primitives, state-driven dynamic mapping, and a dual-layer concatenated error-correction architecture. The framework leverages the pseudo-randomness and “avalanche effect” of hash functions to regulate sequence generation, fundamentally eliminating base distribution periodicity. Experimental results demonstrate that the proposed method not only generates DNA sequences strictly adhering to stringent GC content (47%–55%) and homopolymer length (<inline-formula> <tex-math>$le mathbf {3}$ </tex-math></inline-formula>) constraints but also achieves a net information density of 1.619 bits/nt. Furthermore, by actively suppressing long-range Open Reading Frames (ORFs), the scheme significantly enhances the biochemical inertness of the sequences. At a high error rate of 2%, the system maintains image reconstruction with a high SSIM value and no structural decimation. These results indicate that the proposed encoding scheme effectively guarantees the efficiency, reliability, and biosafety of the DNA storage system.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"740-751"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and Analysis of Molecular Communication With Correlated Emission Patterns 基于相关发射模式的分子通信建模与分析

IF 2.5

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-09-07 DOI: 10.1109/TMBMC.2026.3731499

Kaushlendra Pandey;Nithin V. Sabu;S. M. Sameer;Abhishek K. Gupta

{"title":"Modeling and Analysis of Molecular Communication With Correlated Emission Patterns","authors":"Kaushlendra Pandey;Nithin V. Sabu;S. M. Sameer;Abhishek K. Gupta","doi":"10.1109/TMBMC.2026.3731499","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3731499","url":null,"abstract":"Molecular communication (MC) offers a biologically inspired means of information transfer at the nanoscale, particularly in environments where conventional electromagnetic methods are impractical. Despite promising applications, accurate modeling and characterization of molecular propagation and detection remains a core challenge, especially in complex spatial settings where the emitted signaling molecules (SMs) have spatial correlation. In this paper, we model the spatially clustered random distribution of SMs emitted by multiple transmitter bionanomachines (TBNs) using the Thomas cluster process (TCP), which is well suited for capturing the realistic clustering behavior of SMs in the medium. We analyze two key performance metrics. The first is the detection probability (DP), which measures the probability that the concentration inside a receiver bionanomachine (RBN) exceeds a threshold at a given time. The second is the conditional DP, which captures the probability that SMs around the typical SM cross a specified concentration threshold at a given time. Closed-form expressions for both metrics are derived and validated through Monte Carlo simulations. The numerical results show how the density of TBN, the size of the RBN and the threshold concentration influence the system performance. The results show that the size of the RBN and the spatial distribution of SMs at a given time strongly influence the DP. These results guide the design of more efficient MC networks for synthetic biology, targeted drug delivery, and nanosensing.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"995-1009"},"PeriodicalIF":2.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149033611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Channel Modeling and Experimental Validation of Odor-Based Molecular Communication Systems 基于气味的分子通信系统通道建模与实验验证

IF 2.5

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-09-29 DOI: 10.1109/TMBMC.2026.3738493

Ahmet B. Kilic;Fatih E. Bilgen;Ozgur B. Akan

引用次数: 0

Adaptive Molecular Communication Receivers With Tunable Ligand–Receptor Interactions 具有可调配体-受体相互作用的自适应分子通信接收器

IF 2.3

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-04-28 DOI: 10.1109/TMBMC.2026.3681866

Murat Kuscu

{"title":"Adaptive Molecular Communication Receivers With Tunable Ligand–Receptor Interactions","authors":"Murat Kuscu","doi":"10.1109/TMBMC.2026.3681866","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3681866","url":null,"abstract":"Molecular Communications (MC) underlies signaling in biological systems by transferring information via biochemical molecules. Engineering this natural communication paradigm has motivated Internet of Bio-Nano Things (IoBNT) applications, driven by cooperative networks of natural and engineered biological devices, as well as artificial micro/nanomachines. A key attribute of natural MC systems is their adaptability, ensuring accurate information transmission in dynamic, time-varying biochemical environments. Therefore, incorporating biological adaptation strategies into artificial MC networks, which may operate in diverse biochemical settings (e.g., inside the human body), is vital for robust and biocompatible IoBNT applications. This work introduces and investigates novel, bio-inspired adaptive MC receiver architectures that physically adjust their response functions to maintain optimal detection under time-varying channel conditions. The proposed architectures leverage tunable ligand-receptor interactions, achieving adaptivity by adjusting the sigmoidal ligand-receptor response curve, either by tuning receptor affinity or by expressing heterogeneous receptors, to accommodate fluctuations in received signal statistics. We develop a rigorous analysis framework based on the exact binomial statistics of receptor binding. We evaluate the receivers under a variety of MC conditions involving stochastic background interference, inter-symbol interference (ISI), and degrading enzymes, all of which yield time-varying scaling or shifts in the received signals. Numerical results show that these adaptive architectures markedly improve detection performance compared to non-adaptive designs in dynamic MC scenarios.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"482-492"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling Plant Action Potentials Under Photoperiod Stress via Hodgkin–Huxley Dynamics 利用霍奇金-赫胥黎动力学模拟植物在光周期胁迫下的动作电位

IF 2.3

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2026-01-01 Epub Date: 2026-03-22 DOI: 10.1109/TMBMC.2026.3695290

Imen Bekkari;Maurizio Magarini;Hamdan Awan

{"title":"Modeling Plant Action Potentials Under Photoperiod Stress via Hodgkin–Huxley Dynamics","authors":"Imen Bekkari;Maurizio Magarini;Hamdan Awan","doi":"10.1109/TMBMC.2026.3695290","DOIUrl":"https://doi.org/10.1109/TMBMC.2026.3695290","url":null,"abstract":"Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum (tobacco) recorded within a custom-designed growth chamber using a biosignal amplifier and environmental sensors. Consistent light- and dark-induced APs were observed during photoperiod transitions under controlled 12-hour artificial illumination cycles. To understand these bioelectric responses, a mathematical model based on the Hodgkin-Huxley (HH) one is used. Electrophysiological measurements from Solanum lycopersicum (tomato) revealed that under natural light conditions, only light-induced APs are observed, while light- and dark-induced APs coupled dynamics is exclusively elicited during rapid transitions in artificial photoperiods. These distinct phenomena are characterized as prolonged oscillatory climatic engagement (POCE) and nimble environmental transition oscillation (NETO), respectively. The model successfully reproduces the key features in both frameworks while maintaining computational efficiency through voltage-independent gating kinetics.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":"12 ","pages":"654-661"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148171567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0