Design and reliability-based optimization of the piezoelectric flex transducer

In recent years, the rapid development of low power consuming devices has resulted in a high demand for mobile energy harvesters. The main contribution of this thesis is to optimize the novel piezoelectric energy harvesting device called the piezoelectric flex transducer, which was developed by other researchers for the purpose of harvesting biokinetic energy from human gait. The optimization uses both conventional and reliability-based optimization approaches in order to improve the electrical power generation from the device. First, the piezoelectric flex transducer is modeled by using the finite element method with the finite element analysis software ANSYS APDL. Seven geometric parameters of the piezoelectric energy harvester are considered as design variables. A set of designs with different design variables are generated by the Design of Experiment technique, the generated designs are analyzed by the finite element model and the surrogate models that representing the behavior of the FEM are built by these inputs and the results of the FEA. Conventional optimization, taking into consideration different safety factors, is driven by the von mises stress of the device and is then searched by a mathematical algorithm with the assistance of surrogate models. To improve the efficiency of the surrogate modeling, a multi-level surrogate modeling approach for fast convergence will be introduced and the method will be demonstrated by optimizing the PFT device. As the optimal design is subject to a low stress safety factor, which may be unreliable with the uncertainties of the real-world, the reliability and sensitivity of the optimal design are analyzed. A Monte Carlo simulation is employed to analyse how the electrical power output has been affected by the input parameters with parametric uncertainties. The design parameters of a set of designs are perturbed around the optimal design parameters in order to imitate the optimal design under parametric uncertainties. The effects of parametric uncertainties are then evaluated by the constructed surrogate models. The method for improving the product reliability will be demonstrated

Metamodel-assisted design optimization of piezoelectric flex transducer for maximal bio-kinetic energy conversion

Energy Harvesting Devices (EHD) have been widely used to generate electrical power from the bio-kinetic energy of human body movement. A novel Piezoelectric Flex Transducer (PFT) based on the Cymbal device has been proposed by Daniels et al. (2013) for the purpose of energy harvesting. To further improve the efficiency of the device, optimal design of the PFT for maximum output power subject to stress and displacement constraints is carried out in this paper. Sequential Quadratic Programming (SQP) on metamodels generated with Genetic Programming from a 140-point optimal Latin hypercube design of experiments is used in the optimization. Finally, the optimal design is validated by finite element simulations. The simulations show that the magnitude of the electrical power generated from this optimal PFT harvesting device can be up to 6.5 mw when a safety design factor of 2.0 is applied

Maximum energy conversion from human motion using piezoelectric flex transducer: A multi-level surrogate modeling strategy

Conventional engineering design optimization requires a large amount of expensive experimental tests from prototypes or computer simulations, which may result in an inefficient and unaffordable design process. In order to overcome these disadvantages, a surrogate model may be used to replace the prototype tests. To construct a surrogate model of sufficient accuracy from limited number of tests/simulations, a multi-level surrogate modeling strategy is introduced in this article. First, a chosen number of points determined by optimal Latin Hypercube Design of Experiments are used to generate global-level surrogate models with genetic programming and the fitness landscape can be explored by genetic algorithms for near-optimal solutions. Local-level surrogate models are constructed then from the extended-optimal Latin Hypercube samples in the vicinity of global optimum on the basis of a much smaller number of chosen points. As a result, an improved optimal design is achieved. The efficiency of this strategy is demonstrated by the parametric optimization design of a piezoelectric flex transducer energy harvester. The optimal design is verified by finite element simulations and the results show that the proposed multi-level surrogate modeling strategy has the advantages of faster convergence and more efficiency in comparison with the conventional single-single level surrogate modeling technique

Characterization of a fatal feline panleukopenia virus derived from giant panda with broad cell tropism and zoonotic potential

Represented by feline panleukopenia virus (FPV) and canine parvovirus (CPV), the species carnivore protoparvovirus 1 has a worldwide distribution through continuous ci13rculation in companion animals such as cats and dogs. Subsequently, both FPV and CPV had engaged in host-to-host transfer to other wild animal hosts of the order Carnivora. In the present study, we emphasized the significance of cross-species transmission of parvoviruses with the isolation and characterization of an FPV from giant panda displaying severe and fatal symptoms. The isolated virus, designated pFPV-sc, displayed similar morphology as FPV, while phylogenetic analysis indicated that the nucleotide sequence of pFPV-sc clades with Chinese FPV isolates. Despite pFPV-sc is seemingly an outcome of a spillover infection event from domestic cats to giant pandas, our study also provided serological evidence that FPV or other parvoviruses closely related to FPV could be already prevalent in giant pandas in 2011. Initiation of host transfer of pFPV-sc is likely with association to giant panda transferrin receptor (TfR), as TfR of giant panda shares high homology with feline TfR. Strikingly, our data also indicate that pFPV-sc can infect cell lines of other mammal species, including humans. To sum up, observations from this study shall promote future research of cross-host transmission and antiviral intervention of Carnivore protoparvovirus 1, and necessitate surveillance studies in thus far unacknowledged potential reservoirs

Tailoring MoS2 Valley-Polarized Photoluminescence with Super Chiral Near-Field

Transition metal dichalcogenides with intrinsic spin–valley degrees of freedom hold great potentials for applications in spintronic and valleytronic devices. MoS2 monolayer possesses two inequivalent valleys in the Brillouin zone, with each valley coupling selectively with circularly polarized photons. The degree of valley polarization (DVP) is a parameter to characterize the purity of valley-polarized photoluminescence (PL) of MoS2 monolayer. Usually, the detected values of DVP in MoS2 monolayer show achiral property under optical excitation of opposite helicities due to reciprocal phonon-assisted intervalley scattering process. Here, it is reported that valley-polarized PL of MoS2 can be tailored through near-field interaction with plasmonic chiral metasurface. The resonant field of the chiral metasurface couples with valley-polarized excitons, and tailors the measured PL spectra in the far-field, resulting in observation of chiral DVP of MoS2-metasurface under opposite helicities excitations. Valley-contrast PL in the chiral heterostructure is also observed when illuminated by linearly polarized light. The manipulation of valley-polarized PL in 2D materials using chiral metasurface represents a viable route toward valley-polaritonic devices

Bacterial and Fungal Community Dynamics and Shaping Factors During Agricultural Waste Composting with Zeolite and Biochar Addition

Bacterial and fungal communities play significant roles in waste biodegradation and nutrient reservation during composting. Biochar and zeolite were widely reported to directly or indirectly promote microbial growth. Therefore, the effects of zeolite and biochar on the abundance and structure of bacterial and fungal communities and their shaping factors during the composting of agricultural waste were studied. Four treatments were carried out as follows: Run A as the control without any addition, Run B with zeolite (5%), Run C with biochar (5%), and Run D with zeolite (5%) and biochar (5%), respectively. The bacterial and fungal community structures were detected by high-throughput sequencing. Redundancy analysis was used for determining the relationship between community structure and physico-chemical parameters. The results indicated that the addition of biochar and zeolite changed the physico-chemical parameters (e.g., pile temperature, pH, total organic matter, ammonium, nitrate, and water-soluble carbon) during the composting process. Zeolite and biochar significantly changed the structure and diversity of bacterial and fungal populations. Moreover, the bacterial community rather than the fungal community was sensitive to the biochar and zeolite addition during the composting process. Community phylogenetic characteristics showed that Nocardiopsaceae, Bacillaceae, Leuconostocaceae, Phyllobacteriaceae, and Xanthomonadaceae were the predominant bacterial species at the family-level. Chaetomiaceae and Trichocomaceae were the two most dominant fungal species. The pH, total organic matter, and nitrate were the most important factors affecting the bacterial and fungal population changes during the composting process

Temperature-controlled thermophilic bacterial communities in hot springs of western Sichuan, China

Abstract Background Ganzi Prefecture in Western China is situated geographically at the transition regions between Tibetan Plateau and Sichuan Basin in a highly tectonically active boundary area between the India and Eurasia plates. The region hosts various hot springs that span a wide range of temperature from 30 to 98 °C and are located at high altitude (up to 4200 m above sea level) in the region of large geothermal anomalies and active Xianshuihe slip-fault that has been active since Holocene. The site represents a biodiversity reservoir for thermophiles, yet their diversity and relationship to geochemical parameters are largely unknown. In the present work, bacterial diversity and community structure in 14 hot springs of Ganzi were investigated using Illumina MiSeq sequencing. Results Bacterial community compositions were evidently distinct among the 14 hot springs, and the bacterial communities in hot springs were majorly abundant in phyla Aquificae, Cyanobacteria and Proteobacteria. Both clustering and PCoA analysis suggested the existence of four bacterial community patterns in these hot springs. Temperature contributed to shaping bacterial community structure of hot springs as revealed by correlation analysis. Abundant unassigned-genus sequences detected in this study strongly implied the presence of novel genera or genetic resources in these hot springs. Conclusion The diversity of hot springs of Ganzi prefecture in Western Sichuan, China is evidently shaped by temperature. Interestingly disproportionally abundant unassigned-genus sequences detected in this study show indicate potential of novel genera or phylotypes. We hypothesize that frequent earthquakes and rapidly changing environment might have contributed to evolution of these potentially new lineages. Overall, this study provided first insight into the bacterial diversity of hot springs located in Western Sichuan, China and its comparison with other similar communities worldwide

Association between sleep duration and metabolic syndrome: a population-based study in China

Introduction: The relationship between sleep duration and metabolic syndrome (MetS) remains debatable. In the present study, we analysed the link between total sleep duration (including nighttime sleep and nap duration) and MetS as well as its components among the Chinese population. Material and methods: This was a cross-sectional study from a prospective population cohort including 8616 participants over 40 years in Guangxi, China, evaluated from April 2011 to January 2012. MetS was diagnosed using modified criteria from the National Cholesterol Education Program’s Adult Treatment Panel III. Sleep information was obtained through a standard self-report-based questionnaire. The connection between sleep duration and MetS prevalence as well as its components was evaluated using a logistic regression model. Results: After adjusting for potential confoundings, the longer daily sleep duration (≥ 10 hours) group was observed to have the higher odds of having MetS than the reference group with ≥ 7 and < 8 hours of sleep [odds ratio (OR): 1.25, 95% confidence interval (CI): 1.03–1.52, p = 0.023], as well as the highest odds of having elevated triglycerides (OR: 1.25, 95% CI: 1.03–1.52) and fasting blood glucose (OR: 1.21, 95% CI: 1.01–1.45). Further analysis demonstrated that sleeping > 9 hours per night was correlated to MetS in females (OR: 1.27, 95% CI: 1.02–1.58), while napping ≥ 90 minutes was correlated to MetS (OR: 1.44, 95% CI: 1.11–1.87) in males. Conclusion: Both longer nighttime sleep duration and longer naps may be associated with the development of MetS

Clinical Pathways Based on Integrative Medicine in Chinese Hospitals Improve Treatment Outcomes for Patients with Acute Myocardial Infarction: A Multicentre, Nonrandomized Historically Controlled Trial

Objective. To determine the impact of an integrative medicine clinical pathways (CPs) on the length of in-hospital stay and on outcomes for patients with acute myocardial infarction (AMI). Methods. A multicenter nonrandomized controlled trial enrolling 197 consecutive patients with AMI at eight urban TCM hospitals was conducted between 1 January 2010 and 31 October 2010. These patients were enrolled in the interventional group after the CPs had been implemented. The control group included 405 patients with AMI from eight hospitals; these patients were treated between 1 January 2008 and 31 December 2009, before the CPs were implemented. Outcome measures were the length of hospital stay costs of medical care, and major cardiovascular events (MACEs) during hospitalization. Results. Compared with the control group, the patients in intervention group had a shorter length of hospital stay (9 . 2 ± 4 . 2 days versus 1 2 . 7 ± 8 . 6 days, \u3c 0 . 0 5), and reduced healthcare costs in hospital (4 6 3 6 5 . 7 ± 1 8 2 6 6 . 9 versus 5 2 8 6 6 . 0 ± 3 5 4 0 4 . 4, \u3c 0 . 0 5). There were statistically significant differences in MACE between the two groups during the hospitalization period (2.5% versus 6.9%, = 0 . 0 3). Conclusion. These data suggest that the development and implementation of the clinical pathways based in Integrative Medicine could further improve quality of care and outcome for patients with AMI