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CO2 electroreduction reaction offers an attractive approach to global carbon neutrality. Industrial CO2 electrolysis towards formate requires stepped-up current densities, which is limited by the difficulty of precisely reconciling the competing intermediates (COOH* and HCOO*). Herein, nano-crumples induced Sn-Bi bimetallic interface-rich materials are in situ designed by tailored electrodeposition under CO2 electrolysis conditions, significantly expediting formate production. Compared with Sn-Bi bulk alloy and pure Sn, this Sn-Bi interface pattern delivers optimum upshift of Sn p-band center, accordingly the moderate valence electron depletion, which leads to weakened Sn-C hybridization of competing COOH* and suitable Sn-O hybridization of HCOO*. Superior partial current density up to 140 mA/cm2 for formate is achieved. High Faradaic efficiency (>90%) is maintained at a wide potential window with a durability of 160 h. In this work, we elevate the interface design of highly active and stable materials for efficient CO2 electroreduction.

In the present study, bifunctional fusion proteins were designed by fusing the kringle 2 and protease domains of tissue-type plasminogen activator (tPA) to the C-terminal fragment of hirudin. The thrombolytic and anticoagulant activities of these recombinant proteins from mammalian cells were investigated using in vitro coagulation models and chromogenic assays. The results showed that all assayed tPA mutants retained catalytic activity. The C-terminal fragment of hirudin may have weak affinity to thrombin and thus was insufficient to suppress thrombin-mediated fibrin agglutination. The strength of the thrombolytic activity only relied on the selected tPA sequences, and the fibrinolytic efficiency of single-chain protein significantly decreased. Our data indicate that truncated tPA combined with a hirudin peptide may provide a framework for the further development of a new antithrombotic agent.

Lithium-ion batteries (LIBs) are currently the most suitable energy storage device for powering electric vehicles (EVs) owing to their attractive properties including high energy efficiency, lack of memory effect, long cycle life, high energy density and high power density. These advantages allow them to be smaller and lighter than other conventional rechargeable batteries such as lead–acid batteries, nickel–cadmium batteries (Ni–Cd) and nickel–metal hydride batteries (Ni–MH). Modern EVs, however, still suffer from performance barriers (range, charging rate, lifetime, etc.) and technological barriers (high cost, safety, reliability, etc.), limiting their widespread adoption. Given these facts, this review sets the extensive market penetration of LIB-powered EVs as an ultimate objective and then discusses recent advances and challenges of electric automobiles, mainly focusing on critical element resources, present and future EV markets, and the cost and performance of LIBs. Finally, novel battery chemistries and technologies including high-energy electrode materials and all-solid-state batteries are also evaluated for their potential capabilities in next-generation long-range EVs.

In this work, Ni-Co chalcogenides with controllable amorphous structure were successfully grown on carbon cloth via a facile surfactant-assisted hydrothermal route. The interacted reaction between NiCo2(OH)6 precursor and thioacetamide plays a critical role in altering the morphology and crystal structure of Ni-Co chalcogenides. The varying active sites in NiCo2(OH)6 and the H2S gas decomposed from thioacetamide are found to be the key factors for the formation of amorphous Ni-Co chalcogenides. By benefiting from the amorphous structure and hybrid nanosheet morphology, the as-prepared Ni-Co chalcogenides delivers a specific capacitance of 2361.5 F g−1 while retaining 75.8% of its highest capacitance over 2000 cycles at 20 A g−1. The crystallized NiCo2S4 possesses excellent cycling stability but low specific capacitance. This work paves a promising and simple way for precise synthesis amorphous/crystal metal chalcogenides as active materials in aqueous supercapacitors and other high-performance energy storage devices.

The optimization problems and algorithms are the basics subfield in artificial intelligence, which is booming in the almost any industrial field. However, the computational cost is always the issue which hinders its applicability. This paper proposes a novel hybrid optimization algorithm for solving expensive optimizing problems, which is based on particle swarm optimization (PSO) combined with Gaussian process (GP). In this algorithm, the GP is used as an inexpensive fitness function surrogate and a powerful tool to predict the global optimum solution for accelerating the local search of PSO. In order to improve the predictive capacity of GP, the training datasets are dynamically updated through sorting and replacing the worst fitness function solution with the better solution during the iterative process. A numerical study is carried out using twelve different benchmark functions with 10, 20 and 30 dimensions, respectively. Regarding solving of the ill-conditioned computationally expensive optimization problems, results show that the proposed algorithm is much more efficient and suitable than the standard PSO alone.

SFH, a recombinant staphylokinase-based fusion protein linked by the factor Xa recognition peptide at the N-terminus of hirudin, is a promising therapeutic candidate for thromboembolic diseases. To develop SFH into a new thrombolytic agent, scaled-up production was carried out to provide sufficient preparation for animal safety and clinical studies. Here, we describe a pilot-scale cultivation and purification process for the production of SFH. A high-cell-density fed-batch cultivation for the production of SFH in E. coli was developed in a 40-L bioreactor, which produced about 1.1 g/L of recombinant protein. SFH was purified to homogeneity from the E. coli lysate by expanded bed adsorption chromatography and anion-exchange chromatography, with over 99% purity and 54% recovery. Moreover, the residual endotoxin content was less than 0.5 EU/mL. The molecular weight and in vitro bioactivity of SFH were also determined by electrospray ionization-mass spectrometry (ESI-MS) and fibrinolytic activity assay, respectively.

Silicon has the potential to revolutionize the energy storage capacities of lithium-ion batteries to meet the ever increasing power demands of next generation technologies. To avoid the operational stability problems of silicon-based anodes, we propose synergistic physicochemical alteration of electrode structures during their design. This capitalizes on covalent interaction of Si nanoparticles with sulfur-doped graphene and with cyclized polyacrylonitrile to provide a robust nanoarchitecture. This hierarchical structure stabilized the solid electrolyte interphase leading to superior reversible capacity of over 1,000 mAh g−1 for 2,275 cycles at 2 A g−1. Furthermore, the nanoarchitectured design lowered the contact of the electrolyte to the electrode leading to not only high coulombic efficiency of 99.9% but also maintaining high stability even with high electrode loading associated with 3.4 mAh cm−2. The excellent performance combined with the simplistic, scalable and non-hazardous approach render the process as a very promising candidate for Li-ion battery technology., Silicon anodes are promising for lithium-ion battery development, but suffer from problems such as undesired volume expansion and solid-electrolyte interface formation. Here, the authors report a hierarchical silicon-sulfur-graphene composite anode which mitigates the problems leading to high performance.

To understand the expansion of multicopy microRNA (miRNA) families in plants, we localized the reported miRNA genes from Arabidopsis and rice to their chromosomes, respectively, and observed that 37% of 117 miRNA genes from Arabidopsis and 35% of 173 miRNA genes from rice were segmental duplications in the genome. In order to characterize whether the expression diversification has occurred among plant multicopy miRNA family members, we designed PCR primers targeting 48 predicted miRNA precursors from 10 families in Arabidopsis and rice. Results from RT-PCR data suggest that the transcribed precursors of members within the same miRNA family were present at different expression levels. In addition, although miR160 and miR162 sequences were conserved in Arabidopsis and rice, we found that the expression patterns of these genes differed between the two species. These data suggested that expression diversification has occurred in multicopy miRNA families, increasing our understanding of the expression regulation of miRNAs in plants.