A Perspective on Time for Decay-Information

Quantum computer is getting into the stage of experimental deployment. However, successful quantum deployment on a macro-scale cannot be supported in the existing computer architecture and quantum technology because the performance of the quantum mechanics system with massive scale remains unknown. Considering the time-scale, we show a perspective of decay-information to insight the fundamental behavior hidden behind the quantum mechanics. In this letter, we uniquely analyze the entropy-time performance of a message and show the insight into the decaying nature of information with time.</p

Data_Sheet_1_Real-time depth completion based on LiDAR-stereo for autonomous driving.PDF

The integration of multiple sensors is a crucial and emerging trend in the development of autonomous driving technology. The depth image obtained by stereo matching of the binocular camera is easily influenced by environment and distance. The point cloud of LiDAR has strong penetrability. However, it is much sparser than binocular images. LiDAR-stereo fusion can neutralize the advantages of the two sensors and maximize the acquisition of reliable three-dimensional information to improve the safety of automatic driving. Cross-sensor fusion is a key issue in the development of autonomous driving technology. This study proposed a real-time LiDAR-stereo depth completion network without 3D convolution to fuse point clouds and binocular images using injection guidance. At the same time, a kernel-connected spatial propagation network was utilized to refine the depth. The output of dense 3D information is more accurate for autonomous driving. Experimental results on the KITTI dataset showed that our method used real-time techniques effectively. Further, we demonstrated our solution's ability to address sensor defects and challenging environmental conditions using the p-KITTI dataset.</p

Preferential Oxidation of H₂ in CO-Rich Streams over a Ni/γ-Al₂O₃ Catalyst: An Experimental and First-Principles Microkinetic Study

The shift toward unconventional CO/CO2 sources for chemicals production is accompanied by several challenges, e.g., those associated with their composition. The use of CO/CO2-rich steel mill gases as an alternative feedstock promotes carbon circularity, contributing to reducing the industry’s carbon footprint. The upgrading of steel mill gases as a carbon source in some cases requires efficient and selective H2 removal. This study investigates the preferential oxidation of H2 in CO-rich streams, resembling blast furnace steel mill gas, over a 15 wt % Ni/γ-Al2O3 catalyst combining experimental and modeling techniques. A reaction temperature of 310 °C was selected to prevent carbonyl-induced sintering for CO partial pressures of 26 kPa and higher. Despite the excess CO, an O2-to-H2O selectivity of 65% was achieved at full O2 conversion for an optimum H2/O2 inlet ratio of 3.3. By investigating the effects of the CO and H2 inlet partial pressures, a relation between the CO/H2 inlet ratio and the water selectivity was established. Catalyst stability was confirmed over a 24 h oxidation test. In situ TPO showed negligible amounts of deposited carbon, and subsequent XRD analysis showed only a minor change in diffraction patterns. First-principles microkinetic modeling attributes the high water selectivity over O*-saturated Ni(111) to a 33 kJ mol–1 difference in barrier between H* and CO* oxidation, which compensates the low H*/CO* coverage ratios. The model further highlights the relation between the CO/H2 inlet ratio and the water selectivity with changes in the CO*/H* coverage ratio. The microkinetic model predicts a water selectivity of 91% at 310 °C, significantly higher than the experimental data. Combining several experimental tests with characterization techniques, we attribute the somewhat lower experimental selectivity to WGS activity, possible formation of surface NiO species that are highly active for CO-PROX, and undercoordinated Ni sites that are active for CO dissociation

Synergetic Regulation of the Microstructure and Acidity of HZSM-5/MCM-41 for Efficient Catalytic Cracking of <i>n</i>‑Decane

Alkane catalytic cracking is regarded as one of the most significant processes for light olefin production; however, it suffers from serve catalyst deactivation due to coke formation. Herein, HZSM-5/MCM-41 composites with different Si/Al2 ratios were first prepared by the hydrothermal method. The physicochemical properties of the prepared catalysts were analyzed by a series of bulk and surface characterization methods, and the catalytic performance was tested in n-decane catalytic cracking. It was found that HZSM-5/MCM-41 showed a higher selectivity to light olefins and a lower deactivation rate compared with the parent HZSM-5 due to an enhanced diffusion rate and decreased acid density. Moreover, the structure–reactivity relationship revealed that conversion, light olefin selectivity, and the deactivation rate strongly depended on the total acid density. Furthermore, HZSM-5/MCM-41 was further extruded with γ-Al2O3 to obtain the catalyst pellet, which showed an even higher selectivity to light olefins (∼48%) resulting from the synergy effect of the fast diffusion rate and passivation of external acid density

Energy-efficiency versus delay tradeoff in wireless networks virtualization

This paper studies the issues on wireless networks virtualization in terms of two important performance metrics, i.e., energy efficiency (EE) and delay. Different from existing works on physical layer, we aim to achieve a good tradeoff between EE and delay in wireless networks virtualization using cross-layer stochastic optimization approach. In particular, we formulate a cross-layer problem using fractional programming and Lyapunov optimization method. The EE and delay tradeoff solution is given explicitly by deriving their analytical bounds that are verified by simulation results

Combined Transcriptomic and Proteomic Profiling of the Mouse Anterior Cingulate Cortex Identifies Potential Therapeutic Targets for Pulpitis-Induced Pain

Pulpitis is a common dental emergency that presents with intense pain; there is still no specific medicine to treat pulpitis-induced pain to date. Herein, differentially expressed genes in mouse anterior cingulate cortex (ACC) were investigated 7 days after pulp exposure via a combination of high-throughput transcriptomic and proteomic analyses. We screened 34 key genes associated with 8 critical pathways. Among these, genes (Elovl5, Ikbke, and Nbeal2) involved in immune or inflammatory responses exhibited exclusive regulation at the transcriptomic level, as confirmed by qRT-PCR. We also investigated the comprehensive expression profiles of genes (Erg1, Shank2, Bche, Serinf1, and Pax6) related to synaptic plasticity. Furthermore, the underlying mechanisms for pulpitis-induced pain through immune or inflammatory responses and synaptic plasticity were discussed. Taken together, our findings shed light on the mechanisms underlying pulpitis-induced pain, deepening our understanding of the molecular pathways and providing potential therapeutic and diagnostic targets

Combined Transcriptomic and Proteomic Profiling of the Mouse Anterior Cingulate Cortex Identifies Potential Therapeutic Targets for Pulpitis-Induced Pain

Pulpitis is a common dental emergency that presents with intense pain; there is still no specific medicine to treat pulpitis-induced pain to date. Herein, differentially expressed genes in mouse anterior cingulate cortex (ACC) were investigated 7 days after pulp exposure via a combination of high-throughput transcriptomic and proteomic analyses. We screened 34 key genes associated with 8 critical pathways. Among these, genes (Elovl5, Ikbke, and Nbeal2) involved in immune or inflammatory responses exhibited exclusive regulation at the transcriptomic level, as confirmed by qRT-PCR. We also investigated the comprehensive expression profiles of genes (Erg1, Shank2, Bche, Serinf1, and Pax6) related to synaptic plasticity. Furthermore, the underlying mechanisms for pulpitis-induced pain through immune or inflammatory responses and synaptic plasticity were discussed. Taken together, our findings shed light on the mechanisms underlying pulpitis-induced pain, deepening our understanding of the molecular pathways and providing potential therapeutic and diagnostic targets

Combined Transcriptomic and Proteomic Profiling of the Mouse Anterior Cingulate Cortex Identifies Potential Therapeutic Targets for Pulpitis-Induced Pain

Pulpitis is a common dental emergency that presents with intense pain; there is still no specific medicine to treat pulpitis-induced pain to date. Herein, differentially expressed genes in mouse anterior cingulate cortex (ACC) were investigated 7 days after pulp exposure via a combination of high-throughput transcriptomic and proteomic analyses. We screened 34 key genes associated with 8 critical pathways. Among these, genes (Elovl5, Ikbke, and Nbeal2) involved in immune or inflammatory responses exhibited exclusive regulation at the transcriptomic level, as confirmed by qRT-PCR. We also investigated the comprehensive expression profiles of genes (Erg1, Shank2, Bche, Serinf1, and Pax6) related to synaptic plasticity. Furthermore, the underlying mechanisms for pulpitis-induced pain through immune or inflammatory responses and synaptic plasticity were discussed. Taken together, our findings shed light on the mechanisms underlying pulpitis-induced pain, deepening our understanding of the molecular pathways and providing potential therapeutic and diagnostic targets

Morphology Effect of ZrO₂ on Tuning the C–H Bond Activation in Propane Dehydrogenation

Alternative-type bulk ZrO2-based catalysts for propane dehydrogenation have attracted increasing attention. Here, we studied the effects of ZrO2 morphology on material physicochemical properties, activity, and reaction mechanism of propane dehydrogenation by combining characterization techniques, kinetic tests, and theoretical calculations. A morphology–reactivity dependence is determined and suggests that the rate of propene formation is positively related to the fraction of the (1̅11) facet, which shows the highest intrinsic activity toward propene formation. Moreover, the H-binding energy is identified as an effective descriptor to predict the intrinsic activity in PDH, and a moderate H-binding strength is required for balancing the C–H bond activation and H2 formation rates to ensure the highest intrinsic activity. The obtained knowledge of tuning the C–H bond activation and intrinsic activity inspires the design of highly active metal oxide based catalysts for propene formation

Regulating the C–H Bond Activation Pathway over ZrO₂ via Doping Engineering for Propane Dehydrogenation

The efficient activation of the C–H bond in light alkanes and their catalyst design are significant for alkane-related catalytic processes in view of theoretical and practical aspects. Here, we report the C–H bond activation mechanism and structure–reactivity relationships of Ga-doped ZrO2 catalysts in propane dehydrogenation. Experimental and theoretical calculation results suggest that the introduction of Ga into the framework of ZrO2 alters the C–H bond activation pathway from a stepwise mechanism to a concerted mechanism involving simultaneous cleavage of two C–H bonds in propane, leading to a superior C–H bond activation ability and a lower reaction barrier than state-of-the-art metal oxide catalysts. In addition, a volcano-type dependence of the rate of propene formation on the Ga/Zr ratio is established due to a compromise of intrinsic activity and active site concentration. The strategy of metal incorporation into bulk metal oxide may provide an alternative solution to control the C–H bond activation pathway for efficient propene production