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"Gu, Liang"
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Hybrid Particle Swarm Optimization Genetic LQR Controller for Active Suspension
In this paper, a hybrid particle swarm optimization genetic algorithm LQR controller is used on a quarter car model with an active suspension system. The proposed control algorithm is utilized to overcome the shortcoming that the weight matrix Q and matrix R determined by experience in the traditional LQR control method. The proposed hybrid control method makes it possible to achieve the optimal control effect. A full-order state observer is proposed to observe the state of active suspension. A quarter car active suspension model and road input model are presented at first, and the LQR controller based on the hybrid particle swarm optimization genetic algorithm is utilized in the active suspension system control. Sprung mass acceleration, suspension deflection, and tire dynamic load are selected as the control effect evaluation index. Next, simulation results are presented. According to the results, compared with the passive suspension and active suspension with a traditional LQR control, there is an obvious reduction in the sprung mass acceleration, deflection, and tire dynamic load with an optimized controller under case 1 and case 2. Simultaneously, the system state fed back by the full-order state observer can effectively reflect the true state of the active suspension system.
Journal Article
كيف يحكم الحزب الشيوعي الصيني
مع التغيرات التاريخية وتقلبات الزمن، ظل العالم يتساءل : من أين جاءت مكانة الحزب الشيوعي الصيني في قلوب الصينيين والعالم ؟ وكيف حاز ثقة الصينيين وتأييدهم ؟ وكيف يتغلب على الصعاب ؟ وكيف يقود الصين في ثبات لبدء رحلة الاشتراكية التحديثية الجديدة، مواجهة التغير العميق لأوضاع العالم والدولة والحزب ؟ يجيب هذا الكتاب على هذه التساؤلات عبر جوانب مختلفة من وجهات النظر ويدقق النظر ويستقصي أمور الحزب الشيوعي الصيني، فيرصد أفعاله ويبحث أقواله ويحلل إنجازاته خلال هذا الوقت الذي اقترب فيه من تحقيق النهضة العظيمة للأمة الصينية أكثر من أي فترة على مر التاريخ وذلك بتمشيط الحقب والخبرات التي مر بها الحزب الشيوعي الصيني خلال توليه الحكم.
BOOK
High-throughput analysis of yeast replicative aging using a microfluidic system
Advancing our understanding of the underlying molecular mechanisms of aging, as well as their contributions to age-associated diseases, will have a profound impact on public health. Studying the replicative aging phenomenon in the budding yeast Saccharomyces cerevisiae has led to significant findings on how aging is regulated by evolutionarily conserved enzymes and molecular pathways. We have developed a microfluidic system that enables the visualization and analysis of the complete replicative lifespan of a single yeast cell. This system overcomes current technical challenges in low-throughput yeast lifespan analysis by providing a fast, high-throughput, and accurate analytical method at the single-cell level. This approach opens a new avenue for aging and longevity research using yeast genetic screens.
Saccharomyces cerevisiae has been an important model for studying the molecular mechanisms of aging in eukaryotic cells. However, the laborious and low-throughput methods of current yeast replicative lifespan assays limit their usefulness as a broad genetic screening platform for research on aging. We address this limitation by developing an efficient, high-throughput microfluidic single-cell analysis chip in combination with high-resolution time-lapse microscopy. This innovative design enables, to our knowledge for the first time, the determination of the yeast replicative lifespan in a high-throughput manner. Morphological and phenotypical changes during aging can also be monitored automatically with a much higher throughput than previous microfluidic designs. We demonstrate highly efficient trapping and retention of mother cells, determination of the replicative lifespan, and tracking of yeast cells throughout their entire lifespan. Using the high-resolution and large-scale data generated from the high-throughput yeast aging analysis (HYAA) chips, we investigated particular longevity-related changes in cell morphology and characteristics, including critical cell size, terminal morphology, and protein subcellular localization. In addition, because of the significantly improved retention rate of yeast mother cell, the HYAA-Chip was capable of demonstrating replicative lifespan extension by calorie restriction.
Journal Article
CRISPR/Cas9-mediated knock-in strategy at the Rosa26 locus in cattle fetal fibroblasts
The genetic modification of cattle has many agricultural and biomedical applications. However, random integration often leads to the unstable or differentially expression of the exogenous genes, which limit the application and development of transgenic technologies. Finding a safe locus suitable for site-specific insertion and efficient expression of exogenous genes is a good way to overcome these hurdles. In this study, we efficiently integrated three targeted vector into the cattle Rosa26 (cRosa26) by CRISPR/Cas9 technology in which EGFP was driven by CAG , EF1a , PGK and cRosa26 endogenous promoter respectively. The CRISPR/Cas9 knock-in system allows highly efficient gene insertion of different expression units at the cRosa26 locus. We also find that in the four cell lines, EGFP was stable expressed at different times, and the CAG promoter has the highest activity to activate the expression of EGFP, when compared with the cRosa26 , EF1a and PGK promoter. Our results proved that cRosa26 was a locus that could integrate different expression units efficiently, and supported the friendly expression of different expression units. Our findings described here will be useful for a variety of studies using cattle.
Journal Article
CRISPR/Cas9-mediated knock-in strategy at the Rosa26 locus in cattle fetal fibroblasts
The genetic modification of cattle has many agricultural and biomedical applications. However, random integration often leads to the unstable or differentially expression of the exogenous genes, which limit the application and development of transgenic technologies. Finding a safe locus suitable for site-specific insertion and efficient expression of exogenous genes is a good way to overcome these hurdles. In this study, we efficiently integrated three targeted vector into the cattle Rosa26 (cRosa26) by CRISPR/Cas9 technology in which EGFP was driven by CAG, EF1a, PGK and cRosa26 endogenous promoter respectively. The CRISPR/Cas9 knock-in system allows highly efficient gene insertion of different expression units at the cRosa26 locus. We also find that in the four cell lines, EGFP was stable expressed at different times, and the CAG promoter has the highest activity to activate the expression of EGFP, when compared with the cRosa26, EF1a and PGK promoter. Our results proved that cRosa26 was a locus that could integrate different expression units efficiently, and supported the friendly expression of different expression units. Our findings described here will be useful for a variety of studies using cattle.
Journal Article
Adaptive PID Controller for Active Suspension Using Radial Basis Function Neural Networks
Suspension systems are critical parts of modern cars. In this study, a radial basis function neural networks-based adaptive PID optimal method is presented for vehicle suspension systems. To avoid the shortcoming that the parameters of PID control are determined by experience in the traditional method, to avoid the local optimality problem and the slow rate of convergence in the modern intelligence method, radial basis function neural networks are applied in this paper. First, a quarter-car suspension is presented. Then, the radial basis function neural networks are employed to obtain the parameters of proportional, integral, and derivate components that are used in PID control. The simulation is conducted later. Next, a comparison of the progress between uncontrolled suspension, the radial basis function-based PID control, the H∞ control method, and the FPM control method is presented. According to the simulation results, the proposed control method performs better than the others. This contrast reveals the superior characteristics of the suggested control strategy.
Journal Article
Pyroptosis inhibition improves the symptom of acute myocardial infarction
Acute myocardial infarction (AMI), the leading cause of mortality worldwide, is a rapidly developing and irreversible disease. Therefore, proper prompt intervention at the early stage of AMI is crucial for its treatment. However, the molecular features in the early stage have not been clarified. Here, we constructed mouse AMI model and profiled transcriptomes and proteomes at the early stages of AMI progress. Immune system was extensively activated at 6-h AMI. Then, pyroptosis was activated at 24-h AMI. VX-765 treatment, a pyroptosis inhibitor, significantly reduced the infarct size and improved the function of cardiomyocytes. Besides, we identified that WIPI1, specifically expressed in heart, was significantly upregulated at 1 h after AMI. Moreover,
WIPI1
expression is significantly higher in the peripheral blood of patients with AMI than healthy control. WIPI1 can serve as a potential early diagnostic biomarker for AMI. It likely decelerates AMI progress by activating autophagy pathways. These findings shed new light on gene expression dynamics in AMI progress, and present a potential early diagnostic marker and a candidate drug for clinical pre-treatment to prolong the optimal cure time.
Journal Article
5-Methylcytosine (m5C) modification in peripheral blood immune cells is a novel non-invasive biomarker for colorectal cancer diagnosis
Current non-invasive tumor biomarkers failed to accurately identify patients with colorectal cancer (CRC), delaying CRC diagnosis and thus leading to poor prognosis. Dysregulation of 5-Methylcytosine (m 5 C) RNA has gradually been reported in various cancers, but their role in tumor diagnosis is rarely mentioned. Our study aimed to determine the role of m 5 C methylation modification in blood immune cells for the diagnosis of CRC. Peripheral blood samples were obtained from a total of 83 healthy controls and 196 CRC patients. We observed that m 5 C RNA contents in blood immune cells of CRC patients were markedly enhanced in both training set and validation set. Moreover, levels of m 5 C increased with CRC progression and metastasis but reduced after treatment. Compared with common blood tumor biomarkers, m 5 C levels in peripheral blood immune cells had superior discrimination and reclassification performance in diagnosing CRC. Besides, bioinformatics and qRT-PCR analysis identified increased expression of m 5 C-modified regulators NSUN5 and YBX1 in CRC patients’ blood. A series of animal models and cell co-culture models further demonstrated that CRC tumor cells could increase immune cells’ m 5 C levels and m 5 C-modified regulators. Monocyte was the predominant m 5 C-modified immune cell type in CRC patients’ blood by Gene set variation analysis (GSVA). Taken together, m 5 C methylation modification in peripheral blood immune cells was a promising biomarker for non-invasive diagnosis of CRC.
Journal Article