mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Diagenetic signatures in the deltaic and fluvial-estuarine Messinian sandstone reservoirs in the Nile Delta as a tool for high-resolution stratigraphic correlations

The current study utilizes a range of diagenetic fingerprints to differentiate between sandstone facies deposited in the Nile Delta before and during the Messinian salinity crisis (MSC), which is normally a challenging task considering the complex bio-and lithostratigraphic subdivisions of Messinian rock units. Subaerial exposure of the pre-MSC (Qawasim deltaic sandstone), during drawdown of the Mediterranean Sea at the time of the MSC, triggered pervasive dissolution of unstable rock fragments, kaolinization of feldspar, and meteoric dolomitization of carbonate. This was followed by mesogenetic calcite cementation and kaolinite transformation into dickite in deeply buried Qawasim sandstone. Comparatively, the Abu Madi estuarine facies, deposited during transgression after drawdown related to the MSC, is characterized by eogenetic iron (Fe)-calcite, glauconite, and pyrite (averages of 14.5%, 6%, and 2%, respectively). This facies transition is marked by abundance of mature glauconite (with potassium oxide (K_2O) at about 8%) whose content abates upward from the transgression surface. Moreover, the compositional variability of the Abu Madi sandstone gave rise to multiple diagenetic trajectories that resulted in chlorite formation presumably following smectite and kaolinite. Listed diagenetic variations in the studied Messinian sandstone resulted from a complex interplay between rocks’ compositional, depositional, and burial attributes, ultimately serving as a basis for high-resolution stratigraphic correlation in continental and marginal marine settings with poor biostratigraphic controls.
Engineering J-aggregates for NIR-induced meso-CF_3-BODIPY nanoparticles by activated apoptosis mechanism in photothermal therapy

Forming J-aggregates by organic monomer is a fascinating strategy to urge spectroscopic redshift with respect to that of the monomer. Herein, we designed 1,7-diphenyl-substituted meso-CF_3-BDP monomer confirmed by X-ray crystallographic analysis. The low-barrier rotation of the-CF_3 group in meso-CF_3-BDP 1 significantly enhances the non-radiative efficiency, and the photothermal conversion efficiency (PCE) of the self-assembled nanoparticles (1-NPs: λ_(abs)=746 nm) by J-aggregates was 82%. 1-NPs could effectively block cell cycle progression, inhibit cancer cell proliferation and trigger cell apoptosis under low power laser irradiation (0.2W/cm~2). This study proposes an alternate molecular design platform by J-aggregates to promote PCE through the insertion of rotating segment and trigger the cancer cells apoptosis in photothermal therapy at low power laser density.
Oxygen/Sulfur Atom Exchange Copolymerization of Carbon Disulfide and Propylene Oxide by a Highly Effective Heterogeneous Berlin Green Catalyst

In this study, we report that Berlin Green (FeFe-BG) framework exhibits superior performance in the catalytic coupling of carbon disulfide (CS_2) and propylene oxide (PO) to generate a random copolymer containing thioether, propylene monothiocarbonate and ether units. Oxygen and sulfur atom exchange was detected in polymeric and cyclic thiocarbonate byproducts and utilized to modulate the copolymerization of CS_2 and propylene oxide. The coupling of PO and CS_2 was selective for copolymer formation under various reaction conditions. ~1H and ~(13)C NMR spectroscopy determined two distinct polymer linkages and two cyclic byproducts. Copolymer number average molecular weights ranged from 6.4 kg/mol to 10.5 kg/mol, with a comparatively low polydispersity of 1.3—1.7. The CS_2/PO molar feed ratio had a significant impact on the O/S exchange process; the ratio of cyclic thiocarbonate byproducts could be efficiently regulated by tuning the CS_2 molar feed ratio.
Effect of Ti Addition on Microstructure Evolution and Mechanical Properties of Al_(18)Co_(13)Cr_(10)Fe_(14)Ni_(45) Eutectic High-Entropy Alloys

A series of new (Al_(18)Co_(13)Cr_(10)Fe_(14)Ni_(45))_(100-x)Ti_x (x = 0,0.5,1) eutectic high-entropy alloys (EHEAs) were designed and prepared with the aid of empirical parameter calculations and JMatPro software predictions.The effects of Ti addition on the microstructures,phase structures,and mechanical properties of Al_(18)Co_(13)Cr_(10)Fe_(14)Ni_(45) EHEA were investigated.The results show that (Al_(18)Co_(13)Cr_(10)Fe_(14)Ni_(45))_(100-x)Ti_x (x = 0,0.5,1) EHEAs are composed of the FCC and B2 phases.With the increase in Ti content,the strength of the EHEAs increases.The volume fraction of the FCC phase decreases,and the volume fraction of B2 phase increases;the size of nanoprecipitates within the B2 phase decreases and the number of them increases,which could be responsible for the high strength due to the addition of Ti.Among them,(Al_(18)Co_(13)Cr_(10)Fe_(14)Ni_(45))_(99.5)Ti_(0.5) alloy exhibited excellent properties with yield strength,ultimate tensile strength,and ductility of 690 MPa,1065 MPa,and 9.18%,respectively.
Screening-Assisted Dynamic Multiple Testing with False Discovery Rate Control

In the era of big data, high-dimensional data always arrive in streams, making timely and accurate decision necessary. It has become particularly important to rapidly and sequentially identify individuals whose behavior deviates from the norm. Aiming at identifying as many irregular behavioral patterns as possible, the authors develop a large-scale dynamic testing system in the framework of false discovery rate (FDR) control. By fully exploiting the sequential feature of datastreams, the authors propose a screening-assisted procedure that filters streams and then only tests streams that pass the filter at each time point. A data-driven optimal screening threshold is derived, giving the new method an edge over existing methods. Under some mild conditions on the dependence structure of datastreams, the FDR is shown to be strongly controlled and the suggested approach for determining screening thresholds is asymptotically optimal. Simulation studies show that the proposed method is both accurate and powerful, and a real-data example is used for illustrative purpose.
On Hierarchical Compensation Based Active Disturbance Rejection Control for ACMM Problem of Spacecraft

The attitude control and momentum management (ACMM) problem is quite fundamental for many spacecrafts including space stations, sky laboratories and etc. Instead of single attitude control problem, ACMM problem has to take account of both disturbance rejection and energy optimization. This paper studies the ACMM problem for general spacecraft. A practical active disturbance rejection control architecture is proposed with hierarchical compensation to different kinds of uncertain dynamics or disturbances. In particular, by integrating RLS into ESO, the constant and sinusoidal disturbance terms to be compensated are reconstructed. Also, the LQR law is implemented to achieve the desired performance of control systems after disturbance compensation. Furthermore, quantitative performances of the generalized ESO, the RLS algorithm and the closed-loop tracking system are rigorously analyzed. Finally, the results under 9-DOF semi-physical test environment show the effectiveness of our control method.
Effects of loading rate on root pullout performance of two plants in the eastern Loess Plateau, China

Root pullout performance of plants is an important mechanical basis for soil reinforcement by plant roots in the semi-arid areas. Studies have shown that it is affected by plant factors (species, ages, root geometry, etc.) and soil factors (soil types, soil moisture, soil bulk densities, etc.). However, the effects of loading rates on root pullout performance are not well studied. To explore the mechanical interactions under different loading rates, we conducted pullout tests on Medicago sativa L. and Hippophae rhamnoides L. roots under five loading rates, i.e., 5, 50, 100, 150, and 200 mm/min. In addition, tensile tests were conducted on the roots in diameters of 0.5-2.0 mm to compare the relationship between root tensile properties and root pullout properties. Results showed that two root failure modes, slippage and breakage, were observed during root pullout tests. All M. sativa roots were pulled out, while 72.2% of H. rhamnoides roots were broken. The maximum fracture diameter and fracture root length of H. rhamnoides were 1.22 mm and 7.44 cm under 100 mm/min loading rate, respectively. Root displacement values were 4.63% (±0.43%) and 8.91% (±0.52%) of the total root length for M. sativa and H. rhamnoides, respectively. The values of maximum pullout force were 14.6 (±0.7) and 17.7 (±1.8) N under 100 mm/min for M. sativa and H. rhamnoides, respectively. Values of the maximum pullout strength for M. sativa and H. rhamnoides were 38.38 (±5.48) MPa under 150 mm/min and 12.47 (±1.43) MPa under 100 mm/min, respectively. Root-soil friction coefficient under 100 mm/min was significantly larger than those under other loading rates for both the two species. Values of the maximum root pullout energy for M. sativa and H. rhamnoides were 87.83 (±21.55) mm · N under 100 mm/min and 173.53 (±38.53) mm · N under 200 mm/min, respectively. Root pullout force was significantly related to root diameter (P<0.01). Peak root pullout force was significantly affected by loading rates when the effect of root diameter was included (P<0.01), and vice versa. Except for the failure mode and peak pullout force, other pullout parameters, including root pullout strength, root displacement, root-soil friction coefficient, and root pullout energy were not significantly affected by loading rates (P>0.05). Root pullout strength was greater than root tensile strength for the two species. The results suggested that there was no need to deliberately control loading rate in root pullout tests in the semi-arid soil, and root pullout force and pullout strength could be better parameters for root reinforcement model compared with root tensile strength as root pullout force and pullout strength could more realistically reflect the working state of roots in the semi-arid soil.
Characterization of the sphingolipid profiling of Emiliania huxleyi against virus infection

Lipidomics approach by UPLC-Q-Exactive-MS was used for the identification,quantification,comparison,and characterization of sphingolipids in virus infected marine Emiliania huxleyi BOF92 cells.The results show that 16 significantly changed sphingolipids (including Cer,CerG1,and SPHm) were identified during viral infection.Our data confirmed previously recognized facts that viral infection led to a shift toward virus-specific sphingolipids,which is consistent with the down-regulation of genes involved in the host de novo sphingolipid biosynthesis.Moreover,we revealed the upregulation of virusencoded homologous genes participating in de novo sphingolipids biosynthesis and virus-specific hydroxylated long chain bases (LCBs) as phytoCer,suggesting the competitive inhibition of host sphingolipid synthesis to produce the required building blocks for viral production,replication,and assembly.Additionally,Cer 40:1;2,Cer 40:2;2 isomer,and CerG1 39:0;2,Cer 39:0;2 as novel metabolite markers might indicate the general dysfunctions in E.huxleyi in response to viral infection.Our results show that viral infection led to a profound remodeling of host sphingolipidome,by which viruses depend on the hijacking of host sphingolipid metabolism to support the viral life cycle.
1例枫糖尿病亲属活体肝移植的围术期营养管理并文献复习

枫糖尿病(maple syrup urine disease,MSUD)是一种先天性支链酮酸脱氢酶复合体(branched chain keto acid dehydrogenase complex,BCKAD)缺陷导致的氨基酸代谢障碍疾病,属于常染色体隐性遗传,患病率约1/18.5万[1]。BCKAD由α -酮酸脱氢酶(E1)、双氢酯酰转移酶(E2)、脱氢酶(E3)及两个特异性调节蛋白(激酶及磷酸酶)等不同蛋白组成,任何一种蛋白异常可导致BCKAD功能障碍,从而引起各种支链氨基酸(branched chain amino acid, BCAA)的酮酸衍生物氧化脱羧作用受阻,大量BCAA及其酮酸衍生物在体内蓄积,产生神经毒性,干扰正常氨基酸的脑转运,引起脑苷酯等合成不足,抑制髓鞘形成,导致严重脑发育障碍及其相应的神经系统损害。其临床表现主要为BCAA及α-酮酸堆积导致的酮症酸中毒及神经系统损伤。持续的代谢危象可引起神经系统的后遗症,甚至危及生命。慢性期的饮食治疗以不含BCAA的特殊配方粉为主,以限制BCAA的摄入,保证热量及营养供应,并需监测血浆BCAA水平。活体肝移植是治疗MSUD的有效方法,虽然肝脏BCKAD活性仅占人体BCAA代谢的9% ~ 13%,但国内外文献[2-5]均有报道,肝移植可以放宽MSUD病人饮食上对BCAA或蛋白质的限制,并减少严重代谢紊乱的发生,阻止脑损伤的进展。随着肝移植的广泛开展,国内外已有肝移植围手术期的营养管理指南及专家共识,而对于遗传代谢性疾病肝移植围术期的营养管理,尤其是以枫糖尿病为代表的一类经肝移植后代谢紊乱好转、但仍需继续诊治残留的代谢异常的疾病,目前还没有相关的指南或专家建议。
房颤伴心衰治疗的老策略新方法:房室交界区消融疗法+传导束起搏

心房颤动(房颤)伴心力衰竭(心衰)患者的心率和节律控制方法之一"房室交界区消融联合起搏"治疗作为一个老策略可缓解心衰,其在消融后结合不同生理性起搏方法,包括传统双心室起搏和传导束起搏。新兴的左束支起搏在保持生理性起搏的同时弥补了希氏束起搏的缺陷,成功率高,且安全性和疗效得到了临床随机对照研究的证实,目前成为心脏同步化治疗的热点方式并逐步改写相关指南。该文回顾了治疗策略在传导束起搏尤其是左束支起搏推动下的发展历程和指南的变迁,比较不同方法的优缺点,以及理念上的更新,深入讨论目前存在的问题并展望未来发展方向。
穴位埋线治疗胃热湿阻型单纯性肥胖症患儿42例

我国儿童肥胖发病率呈逐年上升趋势,到2030年,中国学龄儿童和青少年肥胖、超重患病率可能达到31.8%,学龄前儿童可能达到15.6%。肥胖不仅严重影响其身心健康,且儿童期至成年期持续肥胖的人群发生代谢综合征的风险是体重持续正常人群的9.5倍。穴位埋线减重的疗效已被证实,但儿童穴位埋线减重的临床研究相对较少,本研究采用穴位埋线治疗胃热湿阻型单纯性肥胖症患儿42例,现报道如下。
生长激素与新型冠状病毒感染的关系及其临床应用的研究进展

新型冠状病毒传染性强,目前仍是世界性的公共卫生问题。在新型冠状病毒感染的人群中,生长激素(GH)/胰岛素样生长因子-1(IGF-1)缺乏的比例高于未感染人群;GH/IGF-1越低,新型冠状病毒感染患者预后越差。其背后可能机制包括炎症反应、内分泌系统紊乱、营养不良及重度应激状态等。补充GH或不失为一种较有前景的综合治疗的组分之一,但具体应用方案尚存争议。本文对GH与新型冠状病毒感染的关系及其临床应用进行综述。
基于网络药理学探究凉膈散对急性胰腺炎肺损伤大鼠的保护作用

目的基于网络药理学探究凉膈散对急性胰腺炎肺损伤(AP-ALI)大鼠的保护作用。方法利用TCMSP、TCMID、GeneCards、DisGeNET及STRING数据库建立药物与疾病的靶点网络,使用Cytoscape筛选靶点,借助GO和KEGG富集分析阐释生物学机制,使用Autodock Vina 1.1.2和PyMOL计算并可视化成分和靶标的结合情况。大鼠随机分为对照组、模型组和凉膈散组,除对照组外,其余组大鼠经胰胆管逆行注射5%牛磺胆酸钠(50 mg/kg)制备AP-ALI模型,凉膈散组于造模后2、12 h灌胃给予10 g/kg凉膈散。造模后24 h收集血浆、血清和胰腺、肺组织,测定肺组织湿/干重比,血浆PaO_2和PaCO_2值,血清淀粉酶活性和炎症因子TNF-α、IL-6水平,肺组织MDA、GSH水平和MPO活性,HE染色观察胰腺和肺组织病理损伤,TUNEL染色检测肺组织细胞凋亡情况,Western blot法检测肺组织PTGS2、cleaved caspase-3、HO-1、P53蛋白表达。结果网络药理学分析筛得凉膈散活性成分155个,靶点网络确定了41个关键靶点(TNF、IL6、MMP9、HO-1、PTGS2、P53、STAT3、MAPK8、CASP3、FOS等),涉及TNF、MAPK、HIF-1、TLRs和癌症等信号通路。动物实验表明,与对照组比较,模型组大鼠肺组织湿/干重比、血浆PaCO_2值、血清淀粉酶活性和TNF-α、IL-6水平、肺组织MDA水平和MPO活性、肺组织细胞凋亡率及PTGS2、cleaved caspase-3、HO-1、P53蛋白表达均升高(P<0.05,P<0.01),血浆PaO_2值、血清GSH水平均降低(P<0.01),胰腺、肺组织出现严重病理损伤,病理评分升高(P<0.01);与模型组比较,凉膈散组上述指标均有改善(P<0.05,P<0.01)。结论凉膈散可能通过促进HO-1通路活化缓解AP-ALI的氧化应激损伤,并调控P53/caspase-3通路发挥抗凋亡作用。
H综合征1例

H综合征是一种极其罕见的常染色体隐性遗传疾病,累及多系统,并与其他多种疾病重叠,容易误诊漏诊。H综合征治疗的经验很少。有文献报道糖皮质激素对这类患者的治疗有部分有效,其他治疗药物包括非甾体抗炎药、环孢素、甲氨蝶呤、环磷酰胺、6-巯基嘌呤和阿达木单抗,通常治疗无效或部分有效。需要探索更安全有效的治疗方法。
新能源专业英语教学模式的创新研究

随着全球各国对于能源利用以及环境保护等问题的广泛关注,我国也相继开始不断推动新能源以及清洁能源的发展,在多方领域给予成本投入与项目支持,例如通过采取一定税收减免以及补贴措施进行助力。除此之外,在全球发展一体化的趋势下,我国与世界各国在新能源领域的交流也愈发频繁。发展我国的新能源发电与新能源汽车产业,需要使用一些国外新能源企业的设备与技术,这也给我国新能源企业的技术人员提出了新的要求。与此同时,为满足新能源行业学术交流的跨国需求,新能源专业英语教学相关课程也应时而生,给新能源行业的工作人员提供更好的辅助参考。
Serial structure multi-task learning method for predicting reservoir parameters

Buiding data-driven models using machine learning methods has gradually become a common approach for studying reservoir parameters. Among these methods, deep learning methods are highly effective. From the perspective of multi-task learning, this paper uses six types of logging data-acoustic logging (AC), gamma ray (GR), compensated neutron porosity (CNL), density (DEN), deep and shallow lateral resistivity (LLD) and shallow lateral resistivity (LLS) -that are inputs and three reservoir parameters that are outputs to build a porosity saturation permeability network (PSP-Net) that can predict porosity, saturation, and permeability values simultaneously. These logging data are obtained from 108 training wells in a medium₋ low permeability oilfield block in the western district of China. PSP-Net method adopts a serial structure to realize transfer learning of reservoir-parameter characteristics. Compared with other existing methods at the stage of academic exploration to simulating industrial applications, the proposed method overcomes the disadvantages inherent in single-task learning reservoir-parameter prediction models, including easily overfitting and heavy model-training workload. Additionally, the proposed method demonstrates good anti-overfitting and generalization capabilities, integrating professional knowledge and experience. In 37 test wells, compared with the existing method, the proposed method exhibited an average error reduction of 10.44%, 27.79%, and 28.83% from porosity, saturation, permeability calculation. The prediction and actual permeabilities are within one order of magnitude. The training on PSP-Net are simpler and more convenient than other single-task learning methods discussed in this paper. Furthermore, the findings of this paper can help in the re-examination of old oilfield wells and the completion of logging data.
Perylene Diimide Incorporated Polyurethane Polymer as Potential Colour Filter Material with Non-fluorescent Property

A novel polyurethane polymer containing perylene diimide (PDI) unit and aniline segment, denoted as PU-PDI, was designed and synthesized. Their tensile property and photophysical characteristic were investigated using various experimental and theoretical techniques. It is found that the elongation of PU-PDIs can reach more than 1000%, indicating good tensile performance. Moreover, based on the photoinduced electron transfer mechanism, the aniline segments in polyurethane can quench the auto-fluorescence of PDI unit to a negligible value, which overcomes the intractable fluorescence drawbacks of conventional colour filters. The non-emissive characteristic, in combination with the good thermal stability and tensile property of PU-PDI, provides a feasible design strategy to fabricate optical filters with high display quality.
Nanotechnology for Water Treatment: Is It the Best Solution Now?

Preservation of the freshwater resources is a big challenge for a healthy civilized world. Although water consumption increased more than twice the population increase rate, drinking water pollution and freshwater shortage increased dramatically during the last decades (Kar et al., 2012; Mueller and Nowack, 2010). Only 0.01% of freshwater resources are suitable for human needs (Rashid et al., 2019), even in the areas of abundant freshwater (Yeston et al., 2006). By 2050, over 5 billion of the world population will be under severe fresh water supply conditions due to climate change and urbanization exacerbate (Sealy, 2019; Oves et al., 2015; Kar et al., 2012). Currently, one billion people drink unhygienic water, especially in developing countries which leads to severe waterborne diseases which might cause death (Aminiyan et al., 2018). Twelve million people die every year due to this problem (Zhao et al., 2019; Oves et al., 2015).
Uncovering the synergistic photocatalytic behavior of bimetallic molecular catalysts

Bimetallic catalysts usually exhibit better performance than monometallic catalysts due to synergistic effect. However, there is a lack of exploring the synergistic effect on catalytic performance caused by the introduction of inactive metal ion. In this work, we design a molecular model system that can precisely regulate the metal site number and catalytic property. When these molecular metal compounds are used as homogeneous catalysts for photocatalytic CO_2 reduction, the dinuclear heterometallic CuNi-L~2 shows the highest CO_2 -to-CO conversion, which is 2.1 and 3.0 times higher than that of dinuclear homometallic Ni_2 -L~2 and mononuclear Ni-L~1. Density functional theory calculations demonstrate that, in CuNi-L~2, the introduction of inactive Cu~(II) is easier to promote the photo-generated electrons transferring to the coupled active Ni~(II) site to achieve the highest activity. In addition, this work also provides insights to design and construct more efficient bimetallic catalysts in future.
Efficient removal of Cr(III)-carboxyl complex from neutral and high-salinity wastewater by nitrogen doped biomass-based composites

Heavy metals usually exist stably as the species of organic complexes in high-salinity wastewater. Therefore, their effective removal is challenging, especially when the initial pH is neutral. Herein, a novel nitrogen doped biomass-based composite (N-CMCS) was synthesized to remove the complexed heavy metal of Cr(III)-carboxyl. The maximum adsorption capacity of Cr(III)-Citrate (Cr-Cit) by N-CMCS under neutral pH (7.0) and high-salinity (200 mmol/L NaCl) condition was up to 2.50 mmol/g. And the removal performance remained stable after 6 times of regeneration. Combined with species and characterizations analysis, electrostatic attraction and hydrogen bonding were the main mechanisms for N-CMCS to remove Cr(III)-carboxyl complexes. Dynamic adsorption indicated N-CMCS column could treat about 1300 BV simulated wastewater and 350 BV actual wastewater with the concentration of effluent lower than 1.0 mg/L. Furthermore, N-CMCS could remove a variety of complexed heavy metal ions under neutral pH, indicating the great potential in practical application.
Tuning the crystallinity of MnO_2 oxidant to achieve highly efficient pollutant degradation

Manganese dioxide (MnO_2), a commonly find oxidant in both natural environment and industrial application, plays a crucial role for various organic compound degradation. Tuning the MnO_2 crystal structure is a cost-effective strategy to boost the oxidation reactions, where the challenge remains due to lacking indepth investigation of the crystal properties. Herein, MnO_2 with different crystalline structures (x-MnO_2) including α-, β- and δ- was prepared through the hydrothermal synthesis for a typical organic pollutant removal. The structural and degradation analysis indicated that the oxidation capacity was originated from Mn~(3+) and oxygen vacancies (OVs). The intrinsic relationships between oxidation performance and other physiochemical properties such as morphology and electrochemistry were thoroughly discussed, and positive correlations between oxidation capacity and electrochemical properties were found which eventually led to excellent oxidation performance via modulating the above-mentioned properties. Moreover, the K + content was determined to be the most crucial role in manipulating the structure properties. This work offers a crystal-level insight into the relationship between the crystal structure and oxidative property, promoting rational design of highly efficient oxidant.
Multi-functional stimuli-responsive biomimetic flower assembled from CLCE and MOF-based pedals

Simulating the structures and behaviors of living organisms are of great significance to develop novel multi-functional intelligent devices. However, the development of biomimetic devices with complex deformable structures and synergistic properties is still on the way. Herein, we propose a simple and effective approach to create the multi-functional stimuli-responsive biomimetic devices with independently pre-programmable colorful visual patterns, complex geometries and morphable modes. The metal organic framework (MOF)-based composite film acts as a rigidity actuation substrate to support and mechanically guide the spatial configuration of the soft chiral nematic liquid crystal elastomer (CLCE) sheet. We can directly program the structural color of the CLCE sheet by adjusting the thickness distribution without tedious chemical modification. By using this coordination strategy, we fabricate an artificial flower, which exhibits a synergistic effect of both shape transformation and color change like paeonia ‘Coral Sunset' at different flowering stages, and can even perform different flowering behaviors by bending, twisting and curling petals. The assembled bionic flower is innovatively demonstrated to respond to local stimuli of humidity, heat or ultraviolet irradiation. Therefore, the spatial assembly of CLCE combined with functional MOF materials has a wide range of potential application in multi-functional integrated artificial systems.