A new fluorescent chemosensor 2,2′‐((1E,1′E)‐hydrazine‐1,2‐diylidenebis(methanylylidene))bis(4‐(1,2,2‐triphenylvinyl)phenol) TPESAA incorporated with salicylaldehyde azine motif was developed based ...on aggregation‐induced emission (AIE). The probe TPESAA was prepared from 4‐hydroxy tetraphenyl ethylene which underwent formylation followed by condensation with hydrazine hydrate. It showed ratiometric fluorescence quenching behavior to Cu2+, which could induce naked‐eye color changes from colorless to pale yellow. Moreover, it displayed excellent sensitivity and selectivity toward Cu2+ without interference from other metal ions. The extent of quenching is dependent on the concentration of Cu2+ in the range of 0.5–7.5 μM, and a remarkable detection limit (30.9 nM) can be achieved. Furthermore, the obtained Cu2+ complex could be applied to quantitative determination of cysteine in the range of 0.2–2 μM with a good linear relationship.
A ew fluorescent chemosensor TPESAA incorporated with salicylaldehyde azine motif was developed based on aggregation‐induced emission (AIE). The probe showed ratiometric fluorescence quenching behavior to Cu2+, with excellent sensitivity and selectivity. The extent of quenching is dependent on the concentration of Cu2+ in the range of 0.5–7.5 μM, and a remarkable detection limit (30.9 nM) can be achieved. Furthermore, the obtained Cu2+ complex could be applied to quantitative determination of cysteine in the range of 0.2–2 μM with a good linear relationship.
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A novel ratiometric and reversible chemosensor 4-((2-(Benzodthiazol-2-yl)phenyl)ethynyl)-N,N-diethylaniline (BT-1) based on ortho-arylethynyl benzothiazole with large Stokes shift (Δλ≈190 nm) was ...designed and synthesized to recognize Cu
. Copper ion induces a remarkable fluorescence enhancement and causes formation of a BT-1-Cu complex. The clamp-on coordination mode of BT-1 to Cu
was demonstrated using Job's plot, mass spectrum (MS) and DFT calculations. The calculations also indicate that Cu
was chelated to BT-1 through N and alkyne instead of S and alkyne. The probe could quantify Cu
with the detection limit of 3.2 × 10
M. The in vitro imaging results indicated that the probe BT-1 was membrane-permeable and could be applied into the recognition of Cu
ions in living cells.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Online Travel Platforms (OTPs) have been working on improving their hotel Search & Ranking (S&R) systems that facilitate efficient matching between consumers and hotels. Existing OTPs focus on ...improving platform revenue. In this work, we take a first step in incorporating hotel merchants' objectives into the design of hotel S&R systems to achieve an incentive loop: the OTP tilts impressions and better-ranked positions to merchants with high service quality, and in return, the merchants provide better service to consumers. Three critical design challenges need to be resolved to achieve this incentive loop: Matthew Effect in the consumer feedback-loop, unclear relation between hotel service quality and performance, and conflicts between platform revenue and consumer experience.
To address these challenges, we propose MERIT, a MERchant InceTive ranking model, which can simultaneously take the interests of merchants and consumers into account. We introduce information about the hotel service quality at the input-output level. At the input level, we incorporate factors of hotel service quality as features (as the underlying reasons for service quality), while at the output level, we introduce the metric Hotel Rating Score (HRS) as a label (as the evaluated outcome of service quality). Also, we design a monotonic structure for Merchant Tower to provide a clear relation between hotel quality and performance. Finally, we propose a Multi-objective Stratified Pairwise Loss, which can mitigate the conflicts between OTP's revenue and consumer experience. To demonstrate the effectiveness of MERIT, we compare our method with several state-of-the-art benchmarks. The offline experiment results indicate that MERIT outperforms these methods in optimizing the demands of consumers and merchants. Furthermore, we conduct an online A/B test and obtain an improvement of 3.02% for the HRS score. Based on these results, we have deployed MERIT online on Fliggy, one of the most popular OTPs in China, to serve tens of millions of consumers and hundreds of thousands of hotel merchants. To address these challenges, we propose MERIT, a MER chant I nceT ive ranking model, which can simultaneously take the interests of merchants and consumers into account. We introduce information about the hotel service quality at the input-output level. At the input level, we incorporate factors of hotel service quality as features (as the underlying reasons for service quality), while at the output level, we introduce the metric Hotel Rating Score (HRS) as a label (as the evaluated outcome of service quality). Also, we design a monotonic structure for Merchant Tower to provide a clear relation between hotel quality and performance. Finally, we propose a Multi-objective Stratified Pairwise Loss, which can mitigate the conflicts between OTP's revenue and consumer experience. To demonstrate the effectiveness of MERIT, we compare our method with several state-of-the-art benchmarks. The offline experiment results indicate that MERIT outperforms these methods in optimizing the demands of consumers and merchants. Furthermore, we conduct an online A/B test and obtain an improvement of 3.02% for the HRS score. Based on these results, we have deployed MERIT online on Fliggy, one of the most popular OTPs in China, to serve tens of millions of consumers and hundreds of thousands of hotel merchants.
In this paper, the state estimation problem for delayed discrete-time memristive neural networks subject to deception attacks is concerned. The main purpose is to design a state estimator such that ...the error dynamics of the state estimation is stochastically stable and strict dissipative. The randomness of deception attacks is described via a set of Bernoulli distributed white sequences with known conditional probabilities. In addition, in order to reduce unnecessary resource consumption in the communication channels, a dynamic event-triggering mechanism is introduced. By using the Lyapunov-Krasovskii functional and stochastic analysis method, sufficient conditions for stochastic stability and strict dissipation of the error system are acquired. On this basis, a co-design scheme of estimator parameters and the event-triggered matrix is proposed. Finally, the numerical simulation shows the effectiveness of the proposed state estimation scheme.
In this paper, we consider the {H_{\infty }} finite-horizon state estimation issue for a class of discrete-time memristive neural networks (DMNNs) with time-varying delays and multiple fading ...channels. A set of correlated random variables are used to study the correlated fading channels. Specifically, the channel coefficients are assumed to be scalar white noise processes satisfying certain probability distribution laws. At the same time, in order to reduce unnecessary resource consumption in the communication channel between the sensor and remote estimator, a dynamic event-triggered transmission strategy is introduced. Our goal is to construct a set of dynamic event-triggered {H_{\infty }} estimators to ensure that the DMNNs reaches the specified interference attenuation level over a finite time-horizon. With the combination of the Lyapunov-Krasovskii function and stochastic analysis method, sufficient conditions are obtained for the expected estimator. Then, the estimator gains are calculated by solving a set of convex optimization problems. Finally, an example is given to verify the effectiveness and usefulness of the developed state estimation scheme.
In order to obtain a higher quantity absolute phase, a novel phase unwrapping model by combination of dual-frequency heterodyne and segmented quantifization phase coding method is proposed in this ...research. This model also provides a generalized phase order error correction method for eliminate phase order jump errors. Only ten fringe patterns are used for the projection in this study. The workflow of the devised model starts with acquisition of the low frequency wrapped phase by using the classic double-frequency heterodyne method, and then it moves to obtain the fringe order of low frequency wrapped phase based on the projected segmented quantifization phase coding patterns. In this step, two-dimensional scanning lookup method is used to eliminate the noise points caused by the rounding operation. Then, new fringe order can be obtained by combination of the obtained fringe order of low frequency wrapped phase and the new projected binary fringe pattern with complementarity, and this new fringe order combined with the previous fringe order can be used to unwrap the heterodyne phase. Finally, the wrapped phase of the dual-frequency is unwrapped through unwrapped heterodyne phase and the highest frequency phase. This study applies metal workpiece measurements as case studies to test the validity of the proposed model. The experimental results show that the error effects of fringe order can be eliminated, and the high frequency fringes retain more information on the measure workpiece surfaces.
•Property impacts on CCS processes have been reviewed.•Properties were ranked and priority of properties in model development was analyzed.•Relevant properties in the design and operation of CCS ...processes have been identified.•The studied CCS processes include CO2 capture, conditioning, transport and storage.
The knowledge of thermodynamic and transport properties of CO2-mixtures is important for designing and operating different processes in carbon capture and storage systems. A literature survey was conducted to review the impact of uncertainty in thermos-physical properties on the design and operation of components and processes involved in CO2 capture, conditioning, transport and storage. According to the existing studies on property impacts, liquid phase viscosity and diffusivity as well as gas phase diffusivity significantly impact the process simulation and absorber design for chemical absorption. Moreover, the phase equilibrium is important for regenerating energy estimation. For CO2 compression and pumping processes, thermos-physical properties have more obvious impacts on pumps than on compressors. Heat capacity, density, enthalpy and entropy are the most important properties in the pumping process, whereas the compression process is more sensitive to heat capacity and compressibility. In the condensation and liquefaction process, the impacts of density, enthalpy and entropy are low on heat exchangers. For the transport process, existing studies mainly focused on property impacts on the performance of pipeline steady flow processes. Among the properties, density and heat capacity are most important. In the storage process, density and viscosity have received the most attention in property impact studies and were regarded as the most important properties in terms of storage capacity and enhanced oil recovery rate. However, for physical absorption, physical adsorption and membrane separation, there has been a knowledge gap about the property impact. In addition, due to the lack of experimental data and process complexity, little information is available about the influence of liquid phase properties on the design of the absorber and desorber for chemical absorption process. In the CO2 conditioning process, knowledge of the impacts of properties beyond density and enthalpy is insufficient. In the transport process, greater attention should focus on property impacts on transient transport processes and ship transport systems. In the storage process, additional research is required on the dispersion process in enhanced oil recovery and the dissolution process in ocean and saline aquifer storage.
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This study established a dog model of acute multiple cauda equina constriction by experimental constriction injury （48 hours） of the lumbosacral central processes in dorsal root ganglia neurons. The ...repair effect of intrathecal injection of brain-derived neurotrophic factor with 15 mg encapsulated biodegradable poly（lactide-co-glycolide） nanoparticles on this injury was then analyzed. Dorsal root ganglion cells （LT） of all experimental dogs were analyzed using hematoxylin-eosin staining and immunohistochemistry at 1,2 and 4 weeks following model induction. Intrathecal injection of brain-derived neurotrophic factor can relieve degeneration and inflammation, and elevate the expression of brain-derived neurotrophic factor in sensory neurons of compressed dorsal root ganglion Simultaneously, intrathecal injection of brain-derived neurotrophic factor obviously improved neurological function in the dog model of acute multiple cauda equina constriction. Results verified that sustained intraspinal delivery of brain-derived neurotrophic factor encapsulated in biodegradable nanoparticles promoted the repair of histomorphology and function of neurons within the dorsal root ganglia in dogs with acute and severe cauda equina syndrome.
We describe herein an organocatalytic enantioselective approach for the construction of axially chiral sulfone-containing styrenes. Various axially chiral sulfone-containing styrene compounds were ...prepared with excellent enantioselectivities (up to >99% ee) and almost complete E/Z selectivities (>99% E/Z). Furthermore, the axially chiral sulfone-containing styrenes could be easily converted into phosphonic acid and S/P ligands, which could be potentially used as organocatalysts or ligands in asymmetric catalysis.
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