Biomorphic supramolecular assemblies formedthrough the collaboration of rigid and flexible elements,akin to bones and ligaments, play a crucialrole in constructing advanced functional ***-intertwined ring–ring assemb...
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Biomorphic supramolecular assemblies formedthrough the collaboration of rigid and flexible elements,akin to bones and ligaments, play a crucialrole in constructing advanced functional ***-intertwined ring–ring assemblies that rely oninduced fitting between rigid rings and conformationallyflexible rings have emerged as thriving representativesof this process. However, detailing howrigid and flexible rings adapt to each other for preciseself-assembly evolution under solely weak noncovalentinteractions remains limited and oftenposes challenges in structural design. We offer adistinctive solution by distorting the rigid cyclophane,thereby providing not only unique dualrecognition sites for flexible guests but also intrinsicsolid-state emission for in-situ visualization ofdynamic processes. Three adaptive self-assembliesranging from ring-within-ring, to ring-bridge-ringand finally to ring-in-ring were constructed and demonstratedto be dynamically responsive in the solidstate through harnessing the high selectivity of theinner rings.
In wireless networks, utilizing sniffers for fault analysis, traffic traceback, and resource optimization is a crucial task. However, existing centralized algorithms cannot be applied to high-density wireless networks...
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Nucleotide second messengers are highly versatile signaling molecules that regulate a variety of key biological processes in *** best-studied examples are cyclic AMP(cAMP)and bis-(3'-5')-cyclic dimeric guanosi...
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Nucleotide second messengers are highly versatile signaling molecules that regulate a variety of key biological processes in *** best-studied examples are cyclic AMP(cAMP)and bis-(3'-5')-cyclic dimeric guanosine monophosphate(c-di-GMP),which both act as global *** regulatory frameworks of c-di-GMP and cAMP in bacteria show several parallels but also significant *** this review,we llustrate the global regulatory models of the two nucleotide second messengers,compare the different regulatory frameworks between c-di-GMP and cAMP,and discuss the mechanisms and physiological significance of cross-regulation between c-di-GMP and cAMP.c-di-GMP responds to numerous signals de-pendent on a great number of metabolic enzymes,and it regulates various signal transduction pathways through its huge number of effectors with varying *** contrast,due to the limited quantity,the cAMP metabolic enzymes and its major effector are regulated at different levels by diverse *** performs its global regulatory function primarily by controlling the transcription of a large number of genes via cAMP receptor protein(CRP)in most *** review can help us understand how bacteria use the two typical nucleotide second messengers to effectively coordinate and integrate various physiological processes,providing theoretical guidelines for future research.
Nanostructure engineering and composition rationalization are crucial for materials to become candidates for high-performance ***,a novel core-shell heterostructured electrode,combining CoS hollow nanorods with NiCoMn...
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Nanostructure engineering and composition rationalization are crucial for materials to become candidates for high-performance ***,a novel core-shell heterostructured electrode,combining CoS hollow nanorods with NiCoMn-layered double hydroxides(LDH)ternary metal nanosheets,were prepared on carbon cloth by reasonably controlled vulcanization and *** optimizing electrodeposition conditions,the material's structure and properties can be *** enhanced capacitance of the optimized carbon cloth(CC)@CoS/NiCoMn-LDH-300 electrode(4256.0 F g^(-1))lies in the open space provided by CoS and the establishment of a new charge transfer channel across the interfaces of CC@CoS/NiCoMn-LDH-300 *** is further demonstrated by Density functional theory(DFT)simulations based on OHadsorption energy,which produces faster redox charge kinetics and significantly enhances the electrode's energy storage *** hybrid supercapacitor,integrating the optimized CC@CoS/NiCoMn-LDH-300 electrode with active carbon,demonstrates the highest energy density of 86 Wh kg^(-1)(under the power density of 850 W kg^(-1))and the long cycle stability of 89.7%.This study aims to go beyond simple binary LDH by constructing a ternary LDH with a hierarchical core-shell heterostructure to provide an effective and feasible new concept for high-performance supercapacitor electrode materials via rational structure design.
In this paper, based on the condition that the inertial navigation system loaded on the aircraft has giant dispersion, and the aircraft need to detect, track and attack a target, thus the relative position relation ne...
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Highly sensitive terahertz frequency upconversion detection was demonstrated with a KTiOAsO4 crystal. The detectable THz frequency ranges were 3.6-3.9, 4.2-4.4, and 4.8-5.0 THz. The minimum detectable terahertz energy...
Due to the low power conversion efficiency of parametric array, the proposed method can be used to improve the power conversion efficiencies of parametric arrays by adjusting the specific acoustic impedance. The Kuzne...
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Due to the low power conversion efficiency of parametric array, the proposed method can be used to improve the power conversion efficiencies of parametric arrays by adjusting the specific acoustic impedance. The Kuznetsov equation that describes parametric arrays is first studied, the inffuence of Lagrangian densities on difference frequency wave is analyzed,and the relationship between the Lagrangian density and the acoustic impedance is ***, the method of arranging perforated plates around the parametric array to adjust the acoustic impedance is proposed. The proposed method is validated through numerical simulations. The results show that this method can improve the power conversion efficiency of the parametric array by using perforated plates to change the acoustic impedance.
An algorithm to track multiple sharply maneuvering targets without prior knowledge about new target birth is proposed. These targets are capable of achieving sharp maneuvers within a short period of time, such as dron...
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An algorithm to track multiple sharply maneuvering targets without prior knowledge about new target birth is proposed. These targets are capable of achieving sharp maneuvers within a short period of time, such as drones and agile *** probability hypothesis density (PHD) filter, which propagates only the first-order statistical moment of the full target posterior, has been shown to be a computationally efficient solution to multitarget tracking problems. However, the standard PHD filter operates on the single dynamic model and requires prior information about target birth distribution, which leads to many limitations in terms of practical applications. In this paper,we introduce a nonzero mean, white noise turn rate dynamic model and generalize jump Markov systems to multitarget case to accommodate sharply maneuvering dynamics. Moreover, to adaptively estimate newborn targets’information, a measurement-driven method based on the recursive random sampling consensus (RANSAC) algorithm is proposed. Simulation results demonstrate that the proposed method achieves significant improvement in tracking multiple sharply maneuvering targets with adaptive birth estimation.
In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments,this study proposed a real-time instance segmentation method based on the edge *** method combined the...
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In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments,this study proposed a real-time instance segmentation method based on the edge *** method combined the principles of phenotype robots and machine vision based on deep learning.A compact and remotely controllable phenotype detection robot was employed to acquire precise data on tomato *** video data were then processed by using an efficient backbone and the FeatFlowNet structure for feature extraction and analysis of key-frame to non-key-frame mapping from video *** enhance the diversity of training datasets and the generalization of the model,an innovative approach was chosen by using random enhancement ***,the PolyLoss optimization technique was applied to further improve the accuracy of the ripeness multi-class detection *** validation,the method of this study achieved real-time processing speeds of 90.1 fps(RTX 3070Ti)and 65.5 fps(RTX 2060 S),with an average detection accuracy of 97%compared to manually measured *** is more accurate and efficient than other instance segmentation models according to actual testing in a ***,the results of this research can be deployed in edge devices and provide technical support for unmanned greenhouse monitoring devices or fruit-picking robots in facility environments.
Electrocatalytic N_(2)reduction reaction (NRR) has been considered as a promising and alternative strategy for the synthesis of NH_(3),which will contribute to the goal of carbon neutrality and ***,this process often ...
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Electrocatalytic N_(2)reduction reaction (NRR) has been considered as a promising and alternative strategy for the synthesis of NH_(3),which will contribute to the goal of carbon neutrality and ***,this process often suffers from the barrier for N_(2)activation and competitive reactions,resulting in poor NH_(3)yield and low Faraday efficiency (FE).Here,we report a two-dimensiona(2D) ultrathin FeS nanosheets with high conductivity through a facile and scalable method under mild *** synthesized FeS catalysts can be used as the work electrode in the electrochemical NRR cell with N_(2)-saturated Na_(2)SO_(4)*** a catalyst shows a NH_(3)yield of 9.0μg·h^(-1)·mg^(-1)(corresponding to 1.47×10^(-4)μmol·s^(-1)·cm^(-2)) and a high FE of 12.4%,which significantly outperformed the other most NRR *** high catalytic performance of FeS can be attributed to the 2D mackinawite structure,which provides a new insight to explore low-cost and high-performance Fe-based electrocatalysts,as well as accelerates the practical application of the NRR.
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