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In the previous study we have already known that SIR model can be used to deal with the public opinion problem. On the basis of this, in this paper we proposed a new model which can describe the dissemination of the public opinion, especially the negative ones more precisely and efficiently. We separate people into 4 parts to describe their different state when received the information and use method of dynamic system to find out the final state of the system. From this study, we give a explanation about the phenomenon that public opinions always disappear.

This study aims to examine the association between intergenerational support and self-rated health (SRH) levels using data collected from Chinese older adults residing in Honolulu, United States ( N = 329). We also investigated the mediating role of resilience and the moderating role of gender in the association. We found that receiving emotional support was significantly and positively associated with better SRH for the whole sample. The positive effect of receiving emotional support on health was significant among older women only. In contrast, the beneficial effect of providing economic support on health was significant among older men only. We found that resilience significantly mediated the positive effect of received emotional support on SRH, and this effect was found for the whole sample and among older women. However, resilience did not mediate the positive effect of the economic support provided on SRH among older men.

The density derived electrostatic and chemical (DDEC) approach for calculating the charges of atoms in a metal-organic framework (MOF) is considered to be the most accurate (yet computationally costly) one among many charge-assignment methods. Here, we conducted a comparative study on five different types of atomic partial charges (namely CM5, Mulliken, Qeq, EQeq and PACMOF) prepared for a subset of MOFs with affordable computational costs and benchmarked them with respect to the DDEC charges, which is particularly relevant because currently most databases lack MOFs with pre-calculated DDEC charges. To find a suitable charge type alternative to the DDEC approach, we statistically ranked the five charge types based on two metrics, the relative standard deviation of charges and relative dipole moment difference, based on which we provide general guidance as well as suggestions for specific MOFs according to bond polarity analyses. Finally, we recommend a possible and more accurate parametrization scheme for future studies.

In order to improve the estimation accuracy of the state of charge (SOC) of lithium ion batteries and accurately estimate the state of health (SOH), this paper proposes an improved firefly algorithm to optimize particle filter algorithm to estimate the SOC and SOH of lithium batteries. Aiming at the particle degradation problem of the traditional sequential importance sampling in the standard particle filter algorithm, the improved firefly algorithm is used to replace the re-sampling of the traditional particle filter to suppress the particle depletion during the execution of the standard particle filter algorithm; Establishing a second-order RC equivalent circuit model and use the recursive least square method with forgetting factor to identify relevant battery parameters. The ohmic resistance is regarded as a characteristic parameter of the battery state of health (SOH), and the battery SOH is estimated on this basis. IFA-PF algorithms are used for the joint estimation of SOC and SOH. Through simulation verification under DST conditions, the accuracy of using the improved particle filter algorithm to estimate battery SOC is within 2%, with an average error of 0.81%, and its SOH estimation accuracy remains at about 2%, with an average error of 1.34%, which proves the superiority of the joint estimation algorithm.

There is evidence that greater aesthetic experience can be linked to artworks when their corresponding meanings can be successfully inferred and understood. Modern cultural-expo architecture can be considered a form of artistic creation and design, and the corresponding design philosophy may be derived from representational objects or abstract social meanings. The present study investigates whether cultural-expo architecture with an easy-to-understand architectural appearance design is perceived as more beautiful and how architectural photographs and different types of descriptions of architectural appearance designs interact and produce higher aesthetic evaluations. The results showed an obvious aesthetic preference for cultural-expo architecture with an easy-to-understand architectural appearance design (Experiment 1). Moreover, we found that the aesthetic rating score of architectural photographs accompanied by an abstract description was significantly higher than that of those accompanied by a representational description only under the difficult-to-understand design condition (Experiment 2). The results indicated that people preferred cultural-expo architecture with an easy-to-understand architectural appearance design due to a greater understanding of the design, providing further evidence that abstract descriptions can provide supplementary information and explanation to enhance the sense of beauty of abstract cultural-expo architecture.

Theoretical models have recently been used to simulate deionization technology by capturing electrochemical processes at atomistic, electrode, and plant length scales in electrodialysis, capacitive deionization using electric double layers, and Faradaic deionization using intercalation materials and redox-active polymers. We review the salient features of such models, identifying their major accomplishments in quantifying energy consumption and ion removal, analyzing the feasibility of large-scale systems, and discovering new electrode materials and understanding their deionization mechanisms. After summarizing strengths and weaknesses of recent modeling strategies, we identify research directions to expand modeling capabilities that can be used to inform electrode material/microstructure design, to assign energy losses to electrode-scale mechanisms, to bridge length scales, and to capture Faradaic kinetic/diffusion processes.

Natural materials possess many distinctive "living" attributes, such as self-growth, self-healing, environmental responsiveness, and evolvability, that are beyond the reach of many existing synthetic materials. The emerging field of engineered living materials (ELMs) takes inspiration from nature and harnesses engineered living systems to produce dynamic and responsive materials with genetically programmable functionalities. Here, we identify and review two main directions for the rational design of ELMs: first, engineering of living materials with enhanced performances by incorporating functional material modules, including engineered biological building blocks (proteins, polysaccharides, and nucleic acids) or well-defined artificial materials; second, engineering of smart ELMs that can sense and respond to their surroundings by programming dynamic cellular behaviors regulated via cell-cell or cell-environment interactions. We next discuss the strengths and challenges of current ELMs and conclude by providing a perspective of future directions in this promising area.

The effect of identity loss in image-to-image domain translation using generative adversarial networks (GAN) remains largely uncertain given its wide application in many successful GAN architectures, e.g., CycleGAN. In this study, negative identity regularization and idempotence regularization are identified from several related studies, and a novel loss, positive identity loss which limits the generative model’s output on the input of positive samples from the source domain, is defined. Results from identity regularized GANs and those without are compared and analyzed. This study concludes that: 1) negative identity loss is helpful in regularizing CycleGAN’s tendency to apply inversible but non-identity transform on non-features such as coloration and background landscapes; 2) positive identity loss significantly increases resolution, details, and affinity with the original image on top of negative identity loss; 3) idempotence loss has positive but limited impacts on output image quality.

In clinics it is extremely important for implanted devices to achieve the property of enhanced lubrication and bacterial resistance; however, such a strategy has rarely been reported in previous literature. In the present study, a surface functionalization method, motivated by articular cartilage-inspired superlubrication and mussel-inspired adhesion, was proposed to modify titanium alloy (Ti6Al4V) using the copolymer (DMA-MPC) synthesized via free radical copolymerization. The copolymer-coated Ti6Al4V (Ti6Al4V@DMA-MPC) was evaluated by X-ray photoelectron spectroscopy, water contact angle, and Raman spectra to confirm that the DMA-MPC copolymer was successfully coated onto the Ti6Al4V substrate. In addition, the tribological test, with the polystyrene microsphere and Ti6Al4V or Ti6Al4V@DMA-MPC as the tribopair, indicated that the friction coefficient was greatly reduced for Ti6Al4V@DMA-MPC. Furthermore, the bacterial resistance test showed that bacterial attachment was significantly inhibited for Ti6Al4V@DMA-MPC for the three types of bacteria tested. The enhanced lubrication and bacterial resistance of Ti6Al4V@DMA-MPC was due to the tenacious hydration shell formed surrounding the zwitterionic charges in the phosphorylcholine group of the DMA-MPC copolymer. In summary, a bioinspired surface functionalization strategy is developed in this study, which can act as a universal and promising method to achieve enhanced lubrication and bacterial resistance for biomedical implants.

Background and Objectives A growing body of literature indicates that neighborhood social cohesion is generally associated with lower levels of psychological distress and higher levels of life satisfaction (LS). However, very few studies have examined these relationships among Chinese older adults, the fastest growing aging population across all racial/ethnic groups in the U.S. Focusing on this population, the current study aims to examine the associations of neighborhood cohesion with psychological distress and LS as well as the mediating role of resilience and the moderating role of birth place in the associations. Research Design and Methods Ordinary least squares regressions were applied to analyze data collected among 430 Chinese older adults aged 55 and older residing in Honolulu, Hawai’i. Results Results show that neighborhood social cohesion was positively associated with lower levels of psychological distress and higher levels of LS for the whole sample. The association between social cohesion and psychological distress was moderated by birth place such that the protecting effects of neighborhood cohesion on distress were only salient for the U.S.-born but not for the foreign-born. Moreover, the mediating role of resilience was identified: It contributed to more than 60% of the association between social cohesion and psychological distress, and more than 22% of the association between social cohesion and LS. Discussion and Implications Our findings indicate the importance of a cohesive social environment and resilience in shaping psychological well-being and quality of life for older Chinese adults, the U.S.-born in particular, living in Honolulu, Hawai’i.

The rapid population aging taking place in China makes studies tackling opportunities associated with aging an urgent priority. Based on the productive aging perspective, this study examines the relationship between contributory behaviors (i.e., providing economic, housework, and emotional support to adult children and providing care for grandchildren) and life satisfaction, as well as how gender and living arrangements modify the relationship. Using data collected from 809 older adults in Wuhan, China, and applying ordinary least squares regressions, this study found that engaging in contributory behaviors in general, and providing emotional support to adult children and caring for grandchildren in particular, are associated with enhanced life satisfaction. The association between caring for grandchildren and life satisfaction is only salient for males but not for females. For living arrangements, the positive association between engaging in contributory behaviors and life satisfaction is only identified among older adults living with their spouse and other family members. The positive association of providing emotional support to adult children with life satisfaction is significant for older adults living with their spouse only. Finally, frequently taking care of grandchildren is related positively to life satisfaction among those living with both spouse and other family members. Our findings provide empirical evidence suggesting that Chinese older adults are still very active in providing support to family members and highlight the beneficial effects of contributory behaviors on individual's life satisfaction. For policy makers, it is important to continuously promote values of contributing behaviors to family and take into account the importance of family ties and family support to older adults when designing new elder care programs.

Titanium and its alloys have long been used as implantable biomaterials in orthopedics; however, to the best of our knowledge, few studies were reported to investigate surface functionalization of titanium for enhanced lubrication and sustained drug release. In the present study, titania nanotube arrays (TNTs) were prepared by anodization as effective drug nanocarriers, using titanium as the substrate. Meanwhile, motivated by articular cartilage-inspired superlubricity and mussel-inspired adhesion, a copolymer containing both dopamine methacrylamide and 2-methacryloyloxyethyl phosphorylcholine was synthesized (DMA-MPC) and spontaneously grafted onto the TNT surface, which was validated by characterization techniques such as scanning electron microscopy, water contact angle measurements, and X-ray photoelectron spectroscopy. Additionally, the lubrication test showed that copolymer-grafted TNTs have remarkably reduced friction coefficients compared with bare TNTs. Furthermore, the drug release test demonstrated that copolymer-grafted TNTs inhibited burst drug release and achieved sustained drug release in comparison with bare TNTs. In conclusion, the bioinspired surface functionalization strategy developed here, namely DMA-MPC copolymer-grafted TNTs, can be applied to modify orthopedic biomaterials (such as titanium) for enhanced lubrication and sustained drug release.

Prussian Blue analogues (PBAs) are a promising class of intercalation materials for electrochemical energy storage and water treatment, and intercalated cation disorder within them results from partial cation occupation within their vacant interstitial sites. In this study, we investigate the influence of intercalated cation ordering on the electrochemical equilibrium of PBAs. First-principles calculations were performed for supercell configurations with two distinct arrangements of cations, vacancy-pair configurations, and vacancy-pair free (VPF) configurations (VPFCs), to analyze the energetic and electronic structure differences between them. VPFCs were found to be thermodynamically favored at 300 K. The energetic cost of vacancy-pair formation was also attributed to charge sharing between cations and surrounding atoms. Using these findings, a vacancy-pair free (VPF) model was then constructed based on grand canonical ensemble (GCE) theory to predict the composition-dependent equilibrium potential for ...

Emotional and instrumental supports from adult children have been shown to increase positive outcomes among older adults. In this study, we examined the association between intergenerational transfer and self-rated health as well as the mediating and moderating roles of resilience and gender, respectively, using data from Chinese older adults in Honolulu (N=400). We found that the impact of emotional and instrumental support varied by gender. Further, we found that resilience significantly mediated the positive effect of provided economic support on health of older men (resilience mediated 25.1% of the total effect) as well as the positive effect of received emotional support on health of older women (resilience mediated 35.3% of the total effect). Our study highlights the importance of considering resilience and gender differences when examining intergenerational transfers and health among Chinese older adults. The design of a culturally tailored policy would help promote the health of Chinese older adults.

The SCADA data of wind turbine contains a number of abnormal data, which seriously affects the prediction and evaluation of the health state of the turbine. Therefore, an abnormal data cleaning algorithm is proposed according to the measured wind speed - power and generator speed - power data. In this algorithm, the key SCADA parameters were selected as data cleaning objects based on the combination of the Copula function and the mutual information feature (CMI). After that, an algorithm combining the Copula function and the local outlier factor (Copula-LOF) was proposed to clean the abnormal data and filter out the abnormal data of outliers and stacking points. Finally, the actual operation data of wind turbines are used to verify the algorithm. The experimental results show that the algorithm can effectively identify all kinds of abnormal data and has a good cleaning effect on abnormal data.

Prussian blue analogues (PBAs) are model host compounds for the intercalation of monovalent cations for electrochemical energy storage and separations. However, the interactions among interstitial species and their effects on atomic arrangements therein are understood mainly at a phenomenological level. Analyzing correlations between electronic interactions and polyatomic arrangements in hydrated Prussian blue analogues is complicated by the nonlocal hydrogen-bonding interactions between zeolitic water and framework lattices. Here, we train machine-learning (ML) models to learn DFT-calculated energy landscapes of nickel hexacyanoferrate PBA lattices with various lattice hydration degrees, oxidation states, and types of intercalated alkali cations based on various three-particle feature parameters. This ML approach is enabled by using gradient-boosted regression trees with features that are rotationally invariant geometric parameters. ML model accuracy is shown to be a cation-specific indicator of correlations between energy and polyatomic arrangements. Overlap population analysis among correlated atoms further confirms that such correlations are caused by the competition for dative bonding between Lewis-acid intercalated cations and Lewis bases (cyanide and oxygen in ${\mathrm{H}}_{2}\mathrm{O}$). Examination of lowest-energy structures reveals that cation hydrophilicity and bare ionic radius determine dative-bonding strength, resulting in cation-${\mathrm{H}}_{2}\mathrm{O}$ ordering in interstitial space. The projected energy landscapes of hydrated PBA lattices is also explored in subspaces spanned by certain many-particle feature parameters inspired by ML analysis. The downhill traces in such landscapes indicate that lattice distortion is accompanied by two kinds of collective movements: (1) rearrangements in the hydration shells around small and hydrophilic cations and (2) collective attack of ${\mathrm{H}}_{2}\mathrm{O}$ molecules on nickel-cyanide bonds promoted by large, hydrophobic cations.