Flowering-time regulation by the circadian clock:From Arabidopsis to crops

Precise timing of flowering in plants is critical for their growth and reproductive processes.One factor controlling flowering time is the cycle of light and darkness within a day,known as the photoperiod.Plants are classified into long-day,short-day,and day-neutral plants based on light requirements for floral initiation.Although the molecular mechanisms that govern this differentiation remain incompletely understood,studies have consistently shown that the circadian clock plays a central role in regulating photoperiod response across diverse plant species.However,there is a scarcity of reviews describing the regulatory network linking the circadian clock with photoperiodic flowering.This review summarizes that regulatory network,focusing on the distinct roles of clock genes in long-day and short-day plants.We also discuss the strategies of clock gene mutations contributing to geographic variation in longday and short-day crops.

手足口病微信调查评估分析

目的了解微信用户对手足口病的防治知识的掌握水平,为今后开展疾病防控宣传积累经验。方法采用自行设计的调查问卷,依托微信公众号平台从微信用户中随机抽取调查对象进行问卷调查。结果 43.12%的人群知晓手足口的传播途径,73.51%的人知道手足口病的流行季节,98.2%的人知道手足口病的易感人群,能正确回答手足口病的主要症状及预防措施的人分别占48.77%和52.32%;80.45%的人听说过肠道病毒EV71(手足口)疫苗;85.53%的家长愿意给小孩接种肠道病毒EV71(手足口)疫苗;不愿意/观望的态度的原因是;7.55%的人认为没有必要打;77.74%的人担心疫苗安全性和副作用;18.49%的人疫苗的价格;10.57%的小孩已经得过手足口病;其他原因的占23.77%。结论调查对象对手足口病流行季节和易感人群知晓程度较高,下一步工作中应有针对性的对家长进行疫苗的科普,使其了解疫苗接种的重要性及疫苗的安全性。加强健康教育工作。

High-resolution Remote Sensing Image Segmentation Using Minimum Spanning Tree Tessellation and RHMRF-FCM Algorithm

It is proposed a high resolution remote sensing image segmentation method which combines static minimum spanning tree(MST)tessellation considering shape information and the RHMRF-FCM algorithm.It solves the problems in the traditional pixel-based HMRF-FCM algorithm in which poor noise resistance and low precision segmentation in a complex boundary exist.By using the MST model and shape information,the object boundary and geometrical noise can be expressed and reduced respectively.Firstly,the static MST tessellation is employed for dividing the image domain into some sub-regions corresponding to the components of homogeneous regions needed to be segmented.Secondly,based on the tessellation results,the RHMRF model is built,and regulation terms considering the KL information and the information entropy are introduced into the FCM objective function.Finally,the partial differential method and Lagrange function are employed to calculate the parameters of the fuzzy objective function for obtaining the global optimal segmentation results.To verify the robustness and effectiveness of the proposed algorithm,the experiments are carried out with WorldView-3(WV-3)high resolution image.The results from proposed method with different parameters and comparing methods(multi-resolution method and watershed segmentation method in eCognition software)are analyzed qualitatively and quantitatively.

Cooperation of Credit Investigation between China's Mainland and Taiwan under the New Situation

In the context of constant deepening of cooperation in economy and trade and social communication between China's Mainland and Taiwan,deepening the cooperation of credit investigation can effectively ensure deepening and stable development of trade exchanges and social communication between China's Mainland and Taiwan. This paper firstly elaborated significance of credit investigation cooperation,then compared current situation of establishment of credit investigation system,and finally put forward guiding principle and specific recommendations for credit investigation cooperation between China's Mainland and Taiwan.

Amino-modified UiO-66-NH_(2) reinforced polyurethane based polymer electrolytes for high-voltage solid-state lithium metal batteries

Solid-state polymer electrolytes(SPEs)are candidate schemes for meeting the safety and energy density needs of advanced lithium-based battery because of their improved mechanical and electrochemical stability compared to traditional liquid electrolytes.However,low ionic conductivity and side reactions occurring in traditional high-voltage lithium metal batteries(LMBs)hinder their practical applications.Here,amino-modified metal-organic frameworks(UiO-66-NH_(2))with abundant defects as multifunctional fillers in the polyurethane based SPEs achieve the collaborative promotion of the mechanical strength and room temperature ionic conductivity.The surface modified amino groups serve as anchoring points for oxygen atoms of polymer chains,forming a firmly hydrogen-bond interface with polycarbonate-based polyurethane frameworks.The rich interfaces between UiO-66-NH_(2) and polymers dramatically decrease the crystallization of polymer chains and reduce ion transport impedance,which markedly boosted the ionic conductivity to 2.1×10^(−4) S·cm^(−1) with a high Li+transference numbers of 0.71.As a result,LiFePO4∣SPEs∣Li cells exhibit prominent cyclability for 700 cycles under 0.5 C with 96.5%capacity retention.The LiNi_(0.6)Co_(0.2)Mn_(0.2)O_(2)(NCM622)∣SPEs∣Li cells deliver excellent long-term lifespan for 260 cycles with a high capacity retention of 91.9%and high average Coulombic efficiency(98.5%)under ambient conditions.This simple and effective hybrid SPE design strategy sheds a milestone significance light for high-voltage Li-metal batteries.