Distributional Characteristics Research Articles

Reaction-advection-diffusion model of highly pathogenic avian influenza with behavior of migratory wild birds.

Wild birds are one of the main natural reservoirs for avian influenza viruses, and their migratory behavior significantly influences the transmission of avian influenza. To better describe the migratory behavior of wild birds, a system of reaction-advection-diffusion equations is developed to characterize the interactions among wild birds, poultry, and humans. By the next-generation operator, the basic reproduction number of the model is formulated. Then the threshold dynamic of the model is explored by some techniques including the theory of uniform persistence, internally chain transitive sets, and so on. Subsequently, the sensitivity analysis of parameters associated with the basic reproduction number is implemented. According to the temporal and spatial overlapping relationship between wild blue-winged ducks and poultry in North America, the effect of this relationship on the characteristic of spatial-temporal distribution of the viruses is well studied. Additionally, the risk of virus transmission from wild birds to poultry and humans is evaluated. The main results highlight that the basic reproduction number is more significantly affected by the parameters related to wild birds. Interestingly, the model output regarding the spatial distribution of poultry infections is consistent with the actual findings. Moreover, the risk of virus spillover from wild birds into poultry and humans varies with wild bird behavior and has a more substantial impact on poultry. Throughout this study, the critical risk points in the transmission process are identified, providing a theoretical basis for the prevention and control of avian influenza.

Feasibility of Average Photon Energy (APE) in performance evaluation of PV modules equipped with IR reflecting filter

In this work, we investigate the feasibility of the APE (Average Photon Energy) parameter as a qualitative representation of solar spectra in modeling the performance of PV modules equipped with a filter capable of reflecting parasitic IR irradiance. We evaluate APEs' relation with parasitical absorption of solar irradiance in the structure of PV modules (glass, lamination foil, back sheet), as well as its relation to the calculated temperature of PV modules operating in standard conditions. In our analysis, we employ real-world data of spectral irradiance. Full Text: PDF References B.S. Richards, A. Ivaturi, S.K.W. MacDougall, J. Marques-Hueso, "Up- and down-conversion materials for photovoltaic devices", Proc. SPIE 8438, 843802 (2012), CrossRef A. Ibrahim, M.Y. Othman, M.H. Ruslan, S. Mat, K. Sopian, "Recent advances in flat plate photovoltaic/thermal (PV/T) solar collectors", Renew. Sustain. Ener. Rev. 15, 352 (2011), CrossRef N. Khorrami, M.R. Zargarabadi, M. Dehghan, "A novel spectrally selective radiation shield for cooling a photovoltaic module", Sustain. Ener. Technol. Assess. 46, 101269 (2021), CrossRef G. Nofuentes, C.A. Gueymard, J. Aguilera, M.D. Pérez-Godoy, F. Charte, "Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?", Solar Energy 149, 32(2017), CrossRef A. Andreas, T. Stoffel, NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS), Golden, Colorado (Data), NREL Report No. DA-5500-56488 (1981). CrossRef

CORPORATE DECISION-MAKING AND THE IMPACT OF ACQUISITIONS ON SHARE PRICES: THE CASE OF VERIZON

This study investigates the impact of Verizon Communications Inc.'s acquisition of Yahoo on the company's stock performance, using a combination of statistical, visual, and multiscale analytical methods. The research analyzes how strategic corporate decisions, particularly acquisitions, influence short-term and long-term stock behavior. Data spanning from 2014 to 2024 was analyzed to capture pre-acquisition, acquisition, and post-acquisition trends. The methodology integrates boxplot visualizations to explore variability and outliers, quantile analysis to assess distributional characteristics, and descriptive statistics to summarize key metrics such as mean, standard deviation, skewness, and kurtosis. Tabulation analysis evaluates associations between stock returns and trading volumes, while wavelet analysis decomposes stock returns into multiple time scales to identify short-term fluctuations and long-term trends. Results reveal significant volatility during key events, such as the Yahoo acquisition in 2017 and the COVID-19 pandemic, with daily fluctuations peaking at ±6. Medium-term adjustments (4–8 days) exhibited moderate changes, and long-term trends (32-day cycles) showed structural shifts, including positive coefficients in 2017 (+0.5) and negative coefficients in 2020 (-0.6). The research highlights the heavy-tailed nature of return distributions and skewed trading volume patterns. This study provides insights into the multifaceted effects of acquisitions on stock performance, offering valuable implications for investors and corporate managers in optimizing strategic decisions.

Handgrip Strength has Declined Among Adults, Particularly Males, from Shanghai Since 2000.

Handgrip strength (HGS) is an excellent marker of general strength capacity and health among adults. We aimed to calculate temporal trends in HGS for adults from Shanghai between 2000 and 2020. Adults aged 20-59 years from Shanghai, China, were included. Representative cross-sectional HGS data (n = 127,756) were collected in 2000, 2005, 2010, 2014, and 2020. HGS was measured using isometric dynamometry and was adjusted for body size (i.e., height-squared). Trends in mean adjusted HGS were calculated using general linear models with adjustments for age, sex, location, occupation, blood pressure, and exercise time. Trends in distributional characteristics were described visually and calculated as the ratio of coefficients of variation (CVs). We found a significant, small decline in mean adjusted HGS (effect size (ES) [95%CI]: -0.21 [-0.22, -0.20]) since the year 2000. Negligible temporal differences were found across age, location, and occupation groups, with a 2.8-fold greater decline for men than for women. Overall, distributional variability declined negligibly (ratio of CVs [95% CI]: 0.92 [0.91, 0.93]). We also observed a negligible trend (ES < 0.20) in distributional asymmetry among adults with low adjusted HGS (below the 25th percentile) and a small decline (ES = 0.20-0.49) in adults with high adjusted HGS (above the 75th percentile). There was a recent small decline in adjusted HGS for adults from Shanghai, which was greater for men than for women and nonuniform across the population. A decline in adjusted HGS may represent a decline in the general/functional health of the population.

Latitudinal influences on sound scattering layer characteristics in the Southwestern Indian Ocean: insights into oceanographic environmental interactions

Sound scattering layers (SSLs) are vital components of marine ecosystems, yet their morphometric and distributional characteristics remain understudied. This study investigates the SSL core in the southwestern Indian Ocean using a 38 kHz echosounder, focusing on its attributes across latitudinal gradients (20–4°S, 65°E) and three depth layers: epipelagic (0–100 m), intermediate (100–300 m), and mesopelagic (300–600 m). Our findings reveal the highest average acoustic values in the epipelagic layer (–72.9 dB), followed by the mesopelagic layer (–77.8 dB) and the intermediate layer (–82.5 dB). The SSL core was more prominent in northern latitudes (NLS) and showed greater depth variability in southern latitudes (SLS), with vertical profile peaks at 42.2 m and 431.1 m. In the NLS, the SSL core was longer (18,358 m &amp;gt; 6,788 m), thicker (13.8 m &amp;gt; 11.7 m), and more concentrated (aggregation index: 0.0053 m−1 &amp;gt; 0.004 m−1), as well as more dispersed from the center (inertia: 269.9 m² &amp;gt; 112.7 m²). Notably, depth and acoustic fluctuations were more pronounced over circadian cycles in the SLS than in the NLS. Multiple regression analysis revealed that oceanographic factors influencing acoustic values varied by depth, highlighting the complex interactions within SSL ecosystems. These insights enhance our understanding of SSL dynamics and their implications for long-term monitoring and climate influence assessment.

Overseas residency rights of Chinese listed firms' controllers: Impacts on R&D and public welfare donations.

By developing an intertemporal decision-making model, this paper investigates the impact of the acquisition of overseas residency by a firm's beneficial owner on the firm's intertemporal decision-making. By incorporating a discount rate in the model, the paper finds that obtaining foreign residency alters the temporal distributional characteristics of the utility of the beneficial owner, weakening its preference for intertemporal investment behaviors such as R&D and donations. We then conduct an empirical analysis using the propensity score matching method for Chinese listed firms. The results show that firms with overseas residency have significantly lower R&D investment and an increase in philanthropic donation intensity than other firms. This study provides some practical benefit and relevance to government public policymaking: for developing countries such as China, public policies that take into account incentive compatibility will be more conducive to R&D investments and charitable donations by companies that obtain overseas residency rights, thus enhancing their brand value and social well-being.

Dynamic Modeling of Money Supply and GDP: A State-Space Approach

Using data from 2008 to 2023, this study investigates the dynamic relationship between money supply (M2) and GDP through a state-space modeling approach. Addressing the question of how effectively money supply impacts GDP, the study is grounded in the theoretical framework that monetary policy influences economic output, a concept drawn from classical and Keynesian economic theories. The data, sourced from official economic reports, highlights significant variability in both M2 and GDP, with GDP exhibiting slightly lower volatility. The distributional characteristics of the variables show a slight positive skew and a flatter-than-normal distribution, suggesting potential deviations from typical economic trends. The state-space model captures the relationship between M2 and GDP, indicating that money supply is an important explanatory factor for GDP. While the model’s observation equation shows a low and statistically significant standard deviation of the error term—suggesting that it explains variations in GDP effectively—the state transition equation reveals a mostly deterministic evolution of unobserved state variables, though this result lacks full statistical significance and warrants cautious interpretation. The log-likelihood value supports a fair model fit, yet additional macroeconomic variables or alternate model structures may enhance the analysis. The findings affirm the critical role of money supply in economic growth, consistent with economic theory. However, future research could explore more complex dynamics, including non-linear relationships and the effects of external shocks, to refine the understanding of the M2-GDP nexus. This study contributes empirical insights using a state-space framework, offering valuable implications for monetary policy and macroeconomic forecasting.

Geometric quantile-based measures of multivariate distributional characteristics

Several new geometric quantile-based measures for multivariate dispersion, skewness, kurtosis, and spherical asymmetry are defined. These measures differ from existing measures, which use volumes, and are easy to calculate. Some theoretical justification is given, followed by experiments illustrating that they are sensible measures of these distributional characteristics and some basic empirical justification for bootstrapped confidence regions.

The psychometric properties of the EQ-HWB and EQ-HWB-S in patients with breast cancer: a comparative analysis with EQ-5D-5L, FACT-8D and SWEMWBS.

The EQ Health and Well Being is a new generic measure that captures constructs beyond health-related quality of life, with a 25-item long form (EQ-HWB) and a shorter 9-item version (EQ-HWB-S). This study aims to assess the psychometric performance of both versions in breast cancer, which is the most prevalent cancer globally, and compare them to other instruments. A longitudinal survey in Indonesia (2023-24) with 300 female patients used the EQ-HWB, EQ-5D-5L, Functional Assessment of Cancer Therapy-General (FACT-G, from which FACT-8D was derived), Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS, from which SWEMWBS was derived). Distributional characteristics, convergent validity, known-group validity (Student's t-test or ANOVA), test-retest reliability, and responsiveness were assessed. All patients reported problems on at least one EQ-HWB item. The EQ-HWB-S index (11%) had a lower ceiling than the EQ-5D-5L (35%) and SWEMWBS (15.3%), but not the FACT-8D (5%). EQ-HWB-S index values correlated strongly with EQ-5D-5L (r=0.73) and FACT-8D (r=0.70) index values, while EQ-HWB level sum scores correlated strongly with FACT-G (r=0.69) and moderately with WEMWBS (r=0.49). The EQ-HWB and EQ-HWB-S discriminated across known-groups comparably to the EQ-5D-5L and FACT-8D with large effect sizes according to EQ VAS groups, number of symptoms, and general health, and exhibited excellent instrument-level test-retest reliability (intraclass correlations=0.79-0.83) and acceptable responsiveness (standardized response means=|0.24| to |0.97|). This study represents one of the first validations of the EQ-HWB and EQ-HWB-S in any clinical population. Both instrument versions demonstrate robust psychometric performance. The EQ-HWB-S can be recommended to inform resource allocation decisions of breast cancer treatments.

Regional differences and convergence of agricultural carbon efficiency in China: Embodying carbon sink effect

Exploring the distributional dynamics, regional differences, and convergence characteristics of China’s agricultural carbon efficiency (ACE) is significant for promoting the low-carbon agriculture development in China and mitigating global climate change. We incorporate agricultural carbon emissions and carbon sinks into the ACE accounting system, re-measure the ACE of China’s 31 provinces from 2000 to 2021, and focus on ACE’s dynamic evolution law, regional differences, and convergence mechanism in the three major grain functional areas. The study finds that: (1) Disregarding agricultural carbon sinks will lead to underestimating ACE. The overall ACE of the whole country and the three major grain functional areas shows an upward trend. The main grain-producing areas have the fastest growth in ACE, and the main grain-marketing areas have the highest average ACE levels. (2) The gap between groups in ACE in the three major grain functional areas has been narrowing, and hypervariable density contributes the most to the overall gap in ACE. (3) ACE suffers from σ-convergence, both absolute β-convergence and conditional β-convergence, at the national level and within the three major food functional regions. The impacts of urbanization level, aging of the rural labor force, farmers’ education level, agricultural science and technology innovation, regional industrial structure of agriculture, and agricultural disaster rate on ACE are regionally heterogeneous. (4) The convergence speed of ACE at the national level has increased significantly after the proposed carbon emissions trading pilot policy. We suggest strengthening the intra-regional balance and reducing the intra-regional ACE gap. Policymakers should accurately formulate and implement agricultural carbon efficiency improvement policies according to the convergence mechanisms of different regions. We should actively develop agricultural carbon trading products and give full play to their role in improving ACE.

Trends in physical fitness among Lithuanian adolescents aged 11–17 years between 1992 and 2022

BackgroundPhysical fitness is an excellent marker of general health and performance. We aimed to calculate trends in physical fitness among Lithuanian adolescents between 1992 and 2022.MethodsUsing a repeated cross-sectional design,...

A novel data fusion method to leverage passively-collected mobility data in generating spatially-heterogeneous synthetic population

Conventional methods to synthesize population use household travel survey (HTS) data. They generate many infeasible attribute values due to sequentially generating sociodemographics and spatial attributes and encounter a low spatial heterogeneity issue due to a low sampling rate of the HTS data. Passively collected mobility (PCM) data (e.g., cellular traces) provides extensive spatial coverage but poses integration challenges with HTS data due to differences in spatial resolution and attributes. This study introduces a novel cluster-based data fusion method to address these limitations and simultaneously generate synthetic populations with accurate sociodemographics and home–work locations at high spatial heterogeneity. Spatial clustering is adopted to align the spatial resolution of HTS and PCM data, facilitating effective data integration. The data fusion process is reformulated into cluster-specific low-dimensional optimization subproblems to ensure computational tractability. Analytical properties are derived to retain essential distributional characteristics from both datasets in the fused distribution. The spatial clustering process is optimized to ensure such distributional consistencies while maintaining a balance between feasibility and heterogeneity of the synthetic population. The data fusion properties are validated using HTS and LTE/5G cellular signaling data from Seoul, South Korea. Validation against census data confirms the method’s efficacy in maintaining distributional consistency while increasing spatial heterogeneity, with 97% of the generated population being unobserved in the HTS data. This research advances methods to synthesize a population by leveraging the complementary strengths of HTS and PCM data, providing a robust framework for generating spatially diverse synthetic populations essential for urban planning.

Research focus and emerging trends of cancer-related fatigue in nursing arena: A bibliometric analysis from 2012 to 2021.

To explore distributed characteristics and identify research focus and emerging trends related to cancer-related fatigue (CRF) in the nursing field. Data were collected from the Web of Science Core Collection database between January 2012 and December 2021 using an advanced search strategy. Data were extracted and analyzed using CiteSpace and Microsoft Excel. A total of 967 articles were included in this study. The number of published nursing studies on CRF has increased with slight fluctuations. Keyword co-occurrence analysis and timeline view indicated that CRF is closely related to quality of life, and there is a correlation between CRF and other symptoms. Moreover, increasing attention has been paid to CRF nursing interventions. The assessment tools and their different language versions, risk factors and reviews of CRF were the research frontiers in recent years with citation bursts. In the field of nursing, the focus of CRF research is still on risk factors, adverse outcomes and nursing management. Assessment tools will continue to be developed and additional risk factors will be studied in the future.

The More the Better? Reconsidering the Welfare Effect of Crop Insurance Premium Subsidy

China has invested substantial financial subsidies to promote the development of crop insurance; however, the insurance demand among farmers remains notably low, resulting in significant welfare loss. Based on a field survey conducted in 2021 in seven major grain-producing counties in Jiangsu Province, this study analyses the relationship between premium subsidy rates and the welfare effects of subsidies through theoretical model derivation and explores the impact of farmer heterogeneity on the results. This study innovatively introduces a power law distribution model to elucidate the distributional characteristics of farmers’ crop insurance demand, demonstrates the significant limitations of the linear demand model in welfare research, and effectively analyzes the welfare effects of China’s current crop insurance premium subsidy policy. The results indicate that: (1) the actual crop insurance demand of farmers aligns more closely with a power law distribution, and its long-tailed characteristics refute the assumption of linear distribution; (2) there exists an inverted “U”-shaped relationship between the subsidy ratio and the welfare effect, and an excessively high subsidy ratio produces substantial unnecessary losses; (3) variations in welfare effects exist among farmers in different regions, risk attitudes, and cultivation scales, but the range of differences between groups is limited.

Poverty induced inequality in nutrition among children born during 2010-2021 in India.

Almost two-fifth of the children in India is stunted and among various factors, poverty differential in child undernutrition is the largest. Using the latest population-based survey of National Family Health Survey, 2015-16 and 2019-21 this paper examined the poverty induced inequality in child stunting across the sub-populations of India. A sample of 213,136 children aged between 0-5 years from NFHS fourth round and 98,222 children in the same age group from the NFHS fifth round constitute the study sample. The wealth index is used as the proxy of household's economic wellbeing and height-for-age (HAZ) z-score of a child is used to identify the stunting status of the child. Box plots are drawn to understand the distributional characteristics of the HAZ score for both the study sample. We calculate the Erreygers corrected concentration index and decomposed the concentration indices using Gonzalo-Almorox and Urbanos-Garrido method. During 2015-16, more than half of the children from the poorest wealth quintile were stunted (52%), compared to 22% among the children from richest wealth quintile. In 2015-16, stunting was as high as 65% among the children of mothers with low stature (height less than 145 cm) and from the poorest wealth quintile whereas, the prevalence was observed 56% from the same sub-population during 2019-21. Among various factors, the concentration index of stunting was observed highest among the children of 36-47 months (-0.28) followed by children of age 48-59 months (-0.27) and among the fully immunized children (-0.25). Similar to NFHS-4, NFHS-5 also shows a predominantly higher socio-economic inequality among 24+ months children and among the fully immunised children. Factors like child age, birth order and sanitation showed positive elasticity. Decomposition analysis of NFHS-4 data shows that due to uneven distribution of wealth, mother's education as a determinant of child stunting solely explained 33% of the overall inequality followed by improved access to sanitation (24%), mother's height (8%) and place of residence (5%). Similar to NFHS-4, NFHS-5 data also shows that mother's education, sanitation, mother's height and place of residence predominantly contributes to the overall wealth inequality in child stunting. In India, poverty differential in child undernutrition is acute among the different sub-population of children. And the concentration of stunted children is higher among the different sub-population with higher wealth poverty. Mother's education, improved sanitation and mother's height explained larger variation in the overall inequalities in child nutrition across India.

Semantic and distributional patterns of Spanish negation with nouns and adjectives: A Lexical-Realizational Functional Grammar approach

This study examines the semantic and distributional characteristics of the Spanish negation no when it occurs before nouns and adjectives, specifically, whether these instances diverge from sentential negation, but also from negation via prefixes such as des- ‘dis-’ or in- ‘in-, un-’. Using data from the Spanish Web 2011 corpus, it is shown that the use of no before adjectives aligns with other forms of constituent negation, often resulting in a contradictory interpretation, that is similar to that of sentential negation. However, the interpretation of no preceding nouns exhibits a broader range of interpretations, depending on whether the noun refers to an eventuality, quality, or entity. In such instances, no shows parallels to negative prefixes, frequently indicating privation rather than contradiction. Consequently, no can be analyzed as a building block of phrases, expressing syntactic negation, behaving similarly to other adverbs, as well as a building block of words, expressing lexical negation, resembling Spanish prefix-like elements like cuasi ‘almost’ or ex ‘ex-’. The analysis is couched within the framework of Lexical-Realizational Functional Grammar (LRFG), integrating aspects of Lexical Functional Grammar and Distributed Morphology. This approach does not treat morphology and syntax as separate modules, thus allowing us to account for the variable distribution and interpretation of no by means of a single representation in vocabulary structure, drawing on constituent structure representations which are needed on independent grounds for adverbs and for prefix-like elements.

An Indicator Based on Spatial Coordinate Information for Assessing the Capability for Dynamic Machining Performance of Five-Axis Flank Milling.

As a spatial coordinate sensor, the touch-trigger on-machine probe is a key equipment in manufacturing that ensures machining quality, and it has played an important role in five-axis flank milling. However, in flank milling, the utilization of the deviation as a conventional indicator for quality assessment of the machining performance is incomprehensive without considering the characteristics of the machining method. In this paper, the error mutual moment is introduced as an indicator to assess the capability for dynamic machining performance of the machine tool in flank milling based on the spatial coordinate information of the touch-trigger on-machine probe considering the characteristic of the error distribution of the flank milling. Experiments are carried out to validate the advantages of the error mutual moment to assess the capability for dynamic machining performance compared with the deviation. Results show that the error mutual moment shows more significant discrepancies than the deviation in assessing the capability for dynamic machining performance of flank milling. The error mutual moment has the potential to be applied as a quality assessment sensor.

The proposal and calculation method of the annular domain weight function for the electromagnetic flowmeter under annular conductivity distribution

Researching on the characteristic of weight function distribution under non-uniform conductivity distribution is of significant importance for expanding the engineering applications of electromagnetic flowmeter. In this paper, the characteristic of weight function distribution is firstly explored for annular conductivity distribution where the center and outer ring are both conductive. The research results indicate an important finding that the average value of the weight function within any small annular domain of the center or outer ring remains constant as the radial position changes. Therefore, the concept of ‘annular domain weight function’ is then innovatively proposed. Furthermore, the relationship is studied between the ratio of the annular domain weight function of the center and outer ring and the annular feature parameters. Ultimately, the correlations are obtained for calculating the annular domain weight functions of the center and outer ring.

From nature to urbanity: exploring phyllosphere microbiome and functional gene responses to the Anthropocene.

The Anthropocene exerts various pressures and influences on the stability and function of the Earth's ecosystems. However, our understanding of how the microbiome responds in form and function to these disturbances is still limited, particularly when considering the phyllosphere, which represents one of the largest microbial reservoirs in the terrestrial ecosystem. In this study, we comprehensively characterized tree phyllosphere bacteria and associated nutrient-cycling genes in natural, rural, suburban, and urban habitats in China. Results revealed that phyllosphere bacterial community diversity, richness, stability, and composition heterogeneity were greatest at the most disturbed sites. Stochastic processes primarily governed the assembly of phyllosphere bacterial communities, although the role of deterministic processes (environmental selection) in shaping these communities gradually increased as we moved from rural to urban sites. Our findings also suggest that human disturbance is associated with the reduced influence of drift as increasingly layered environmental filters deterministically constrain phyllosphere bacterial communities. The intensification of human activity was mirrored in changes in functional gene expression within the phyllosphere microbiome, resulting in enhanced gene abundance, diversity, and compositional variation in highly human-driven disturbed environments. Furthermore, we found that while the relative proportion of core microbial taxa decreased in disturbed habitats, a core set of microbial taxa shaped the distributional characteristics of both microbiomes and functional genes at all levels of disturbance. In sum, this study offers valuable insights into how anthropogenic disturbance may influence phyllosphere microbial dynamics and improves our understanding of the intricate relationship between environmental stressors, microbial communities, and plant function within the Anthropocene.

Responsive integration performed by laser-induced Er3+ structural doping and graphene nanoplatelets

Laser-induced preparation method has the advantages of high efficiency, high yield, no ionic diffusion restriction and competitive side reaction, which can prepare diversified composite materials based on small-scale and distributed characteristics. Besides, integrating multiple performance and conducting inductive feedback are helpful for the reliability and calibration of laser-induced materials in the precision field. Herein, responsive integration is designed based on graphene nanoplatelets/ZnSe:Er3+ composite with optical, electrical, thermal and visual properties for real-time feedback. Er3+ ions doped ZnSe is obtained by fast laser-induced method, combined with two-dimensional graphene nanoplatelets and assembled into temperature-sensitive polyimide and cellulose paper, realizing the characteristics of photoelectric conversion and photothermal conversion. Besides, red fluorescence guiding perceptual behavior can also be produced under the radiation of NIR laser. Based on the proposed composite, bionic flower is constructed, and exhibits good motion features in blooming. Meanwhile, large curvature bending, high thermal sensitivity and strong fluorescence emission are also revealed. Such performance combination design provides a convenient approach for multi signals cross feedback in soft actuator, which strengthens the monitoring and guidance of motion perceptions, and can be potentially applied in diversified fields.