Localization accuracy is an important index for evaluating multi-sensor integrated system. For ensuring the high precision, usually more accuracy sensor is adopted for reducing the measurement error or better localiza...
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Cancer: eavesdropping on communicating cancer cells Cancer cells routinely release tiny membrane vesicles laden with RNAs that help promote tumor progression, but which could also offer useful biomarkers for diagnosis...
Cancer: eavesdropping on communicating cancer cells Cancer cells routinely release tiny membrane vesicles laden with RNAs that help promote tumor progression, but which could also offer useful biomarkers for diagnosis and reveal new drug targets. Many cells secrete such vesicles, known as exosomes, as a mode of intercellular communication. Researchers led by Tongbao Feng at Nanjing Medical University, Changzhou, China, have reviewed the evidence linking exosome-borne RNAs to tumor cell function. The authors focus on a class of molecules known as 'long noncoding RNAs' (lncRNAs), and show that exosomal lncRNAs are relayed as messages between tumor cells, promoting proliferation, metastatic spread, and acquisition of drug resistance. These RNAs can therefore also offer a useful window into the progress of disease and interventions that block such exosomally transmitted messages, and could potentially inhibit malignant growth and spread. Exosomes play a vital role in cell-cell communication within the cancer microenvironment. Exosomal long noncoding RNAs (lncRNAs) are important regulators in cancer development and are involved in multiple processes, including cancer cell proliferation, angiogenesis, metastasis, drug resistance, and immunomodulation. Changes in the levels of exosomal lncRNAs often appear with the occurrence and development of cancer. Therefore, exosomal lncRNAs can be used as biomarkers for cancer diagnosis and prognosis. Exosomal lncRNAs can also indicate the treatment response of patients receiving chemotherapy. Moreover, exosomal lncRNAs are potential therapeutic targets for cancer treatment. In this review, we summarize the role of exosomal lncRNAs in cancer biology as well as in clinical management. A more comprehensive and in-depth understanding of the role of exosomal lncRNAs in cancer may help us better understand the mechanism of cancer development and clinically manage cancer patients.
Aeromonas veronii is a pathogen which can induce diseases in humans, animals and aquatic organisms, but its pathogenic mechanism and virulence factors are still elusive. In this study, we successfully constructed a mu...
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Aeromonas veronii is a pathogen which can induce diseases in humans, animals and aquatic organisms, but its pathogenic mechanism and virulence factors are still elusive. In this study, we successfully constructed a mutant strain (Delta ascP) by homologous recombination. The results showed that the deletion of the ascP gene significantly down-regulated the expression of associated effector proteins in A. veronii compared to its wild type. The adhesive and invasive abilities of Delta ascP to EPC cells were 0.82-fold lower in contrast to the wild strain. The toxicity of Delta ascP to cells was decreased by about 2.91-fold (1 h) and 1.74-fold (2 h). Furthermore, the LD50 of the mutant strain of crucian carp was reduced by 19.94-fold, and the virulence was considerably attenuated. In contrast to the wild strain, the Delta ascP content in the liver and spleen was considerably lower. The titers of serum cytokines (IL-8, TNF-alpha, and IL-1 beta) in crucian carp after the infection of the Delta ascP strain were considerably lower in contrast to the wild strain. Hence, the ascP gene is essential for the etiopathogenesis of A. veronii TH0426.
RCS refers to the radar cross section, which is an important index to reflect the electromagnetic scattering characteristics of the object. RCS measurement is the only method to obtain the real RCS of objects. Since t...
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Atomic dispersed heterogeneous catalysts have emerged as a prominent research focus in catalysis due to their exceptional atom utilization, robust activity, and remarkable selectivity. However, the design and synthesi...
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Atomic dispersed heterogeneous catalysts have emerged as a prominent research focus in catalysis due to their exceptional atom utilization, robust activity, and remarkable selectivity. However, the design and synthesis of catalysts with a precisely defined atomic number and exceptional dispersion still pose significant challenges. In this study, we employed a magnetron sputtering cluster source equipped with a mass selector to selectively fabricate single-atom, dual-atom, and clusters with precise atomic numbers catalysts supported on mesoporous graphitic carbon nitride (mpg-C3N4). This method provides a universally applicable approach for synthesizing highly pure diatomic catalysts. Furthermore, the dual-atom Pd catalyst exhibits an outstanding turnover frequency of 5819 h(-1) in the hydrogenation of nitrobenzene, surpassing that of both single-atom Pd and Pd-2057 clusters. Density functional theory calculations reveal that excellent hydrogenation performance benefits from the easier dissociation of H-H bonds at the atomic geminal Pd-2 sites in the hydrogenation process of nitrobenzene compared to that of single-atom Pd and Pd clusters. This work presents a universal synthetic strategy for precisely constructing multimetal atomic centers, showcasing the advantages of geminal metal sites in catalyzing multimolecule-involved reactions.
Heterogeneous photocatalysis is an ideal method for eco-friendly synthesis of value-added chemicals. However, due to the limited penetration depth of photons and inefficient utilization of the catalytic active sites, ...
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Heterogeneous photocatalysis is an ideal method for eco-friendly synthesis of value-added chemicals. However, due to the limited penetration depth of photons and inefficient utilization of the catalytic active sites, the scalability of heterogeneous photocatalysis is restrained. Combining heterogeneous photocatalysis and flow system is a promising solution to optimize the light absorption and mass transfer;however, an affordable, practical design of the flow system and the immobilization method of the photocatalyst is still missing. Here, we report a flow system for heterogeneous photocatalytic synthesis of azoxybenzene and its derivatives from reductive coupling of nitrobenzene at a gram-scale using anchored graphitic carbon nitride (gCN) on porous silica (gCN-SiO2). The hydrogen bonds formed between the gCN and the tetramethoxysilane (TMOS) precursor during the dehydrative condensation process prevent unwanted leaching of catalyst, enabling photocatalytic flow synthesis of azoxybenzene with high selectivity, efficiency, and durability. Mechanistic studies reveals that the gCN-SiO2 regulates the photocatalytic reduction kinetics of nitrobenzene by facilitating the generation of nitrosobenzene and N-phenylhydroxylamine intermediates while preventing the formation of unwanted 4-phenylazophenol byproducts, resulting in efficient and selective synthesis of azoxybenzene. Our work provides an alternative path towards large scale heterogeneous photocatalysis.
As the number and proportion of compute-intensive tasks on mobile devices increase, so does the amount of energy required to process them. Edge computing technologies provide a solution to enhance the capacity of mobi...
As the number and proportion of compute-intensive tasks on mobile devices increase, so does the amount of energy required to process them. Edge computing technologies provide a solution to enhance the capacity of mobile devices by offloading those tasks to edge servers. Based on dynamic voltage and frequency scaling (DVFS) technology, this paper proposed a new energy saving offloading strategy for mobile devices. On the premise that the task completion time meets the task deadline, the energy consumption problem of mobile devices is formulated as a minimum problem and solved by the genetic algorithm. In this strategy, priority is allocated to each task of workflow, and corresponding offloading resources are allocated according to the result of classification. DVFS technology is applied to the CPU of the terminal device to further reduce energy consumption while the task-resource mapping is performed. Experimental results show that for the same workflow and the same offloading resources and communication environment, in meet the delay constraints of tasks, the proposed algorithm is compared with the existing fine-grained task migration energy-saving algorithm based on genetic algorithm and the task scheduling algorithm based on energy consumption perception, can effectively improve the high energy consumption of mobile devices.
The highly ordered mesoporous TiO2-Al2O3 composite oxides were prepared via a facile evaporation-induced self-assembly (EISA) method. All of those synthesized materials were characterized by means of XRD, XRF, N2 adso...
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The highly ordered mesoporous TiO2-Al2O3 composite oxides were prepared via a facile evaporation-induced self-assembly (EISA) method. All of those synthesized materials were characterized by means of XRD, XRF, N2 adsorption, FTIR, Py-FTIR and TEM. The results show that the hexagonally ordered mesoporous TiO2-Al2O3 oxides with high specific surface area, high thermal stability and narrow pore size distributions were successfully synthesized by EISA. The corresponding NiMo catalysts supported on TiO2-Al2O3 oxides were further characterized by H2-TPR, HRTEM and XPS. Their hydrodesulfurization catalytic performances were tested in a fixedbed reactor, using 4,6-dimethyldibenzothiophene as the probe. The analyzing results exhibit that the incorporation of TiO2 could effective weaken the support-metal interactions, thus enhancing the reduction degree of active metals and forming more "Type II" Ni-Mo-S active phases that would be beneficial for the HDS of highly refractory organosulfur compound. The catalytic results reveal that the 4,6-DMDBT conversion over NiMo/TA-n catalysts gradually increased as the Ti/Al molar ratio increases, and reaches a maximum values at NiMo/TA-0.4. The NiMo/TA-0.4 exhibited the highest hydrodesulfurization catalytic performance of 4,6-DMDBT due to the synergistic effect of suitable textural properties, high thermal stability and moderate metal-support interactions.
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