Abstract Developing highly active and stable electrocatalysts is essential for the large‐scale production of hydrogen from alkaline water. In this work, Ag single atoms nanoparticles co‐decorated Co hydro(oxy)oxide (Ag SAs&NPs@CoO(O)H) synthesized by a facile one‐step approach. Notably, overpotential SAs&NPs@CoO(O)H 200 mV at current density 50 mA cm −2 during oxygen evolution reaction (OER). Meanwhile, it can display mass activity 637.47 A g −1 under 300 mV, which 212.49 times...

Cellular omics such as single-cell genomics, proteomics, and microbiomics allow the characterization of tissue microbial community composition, which can be compared between conditions to identify biological drivers. This strategy has been critical revealing markers disease progression, cancer pathogen infection. A dedicated statistical method for differential variability analysis is lacking cellular data, existing methods composition do not model some compositional data properties,...

Glycan is a crucial class of biological macromolecules with important functions. Functional groups determine the chemical properties glycans, which further affect their activities. However, structural complexity glycans has set technical hurdle for direct identification. Nanopores have emerged as highly sensitive biosensors that are capable detecting and characterizing various analytes. Here, we identified functional on designed α-hemolysin nanopore containing arginine mutations (M113R),...

Considering the problem of joint source-channel coding (JSCC) for multi-user transmission images over noisy channels, an autoencoder-based novel deep scheme is proposed in this paper. In JSCC scheme, decoder can estimate signal-to-noise ratio (SNR) and use it to adaptively decode transmitted image. Experiments demonstrate that achieves impressive results adaptability different SNRs robust noise SNR estimation decoder. To best our knowledge, first focuses on be applied scenarios.

In this paper we propose an edge-directed error concealment (EDEC) algorithm, to recover lost slices in video sequences encoded by flexible macroblock ordering. First, the strong edges a corrupted frame are estimated based on neighboring frames and received area of current frame. Next, regions along these recovered using both spatial temporal pixels. Finally, remaining parts estimated. Simulation results show that compared existing boundary matching algorithm [1] exemplar-based inpainting...

Engineering noble metal‐based electrocatalysts (NMEs) with high activity is of vital importance to accelerate the hydrogen production from proton exchange membrane water electrolyzers (PEMWEs). However, poor stability and price NMEs greatly restrict practical application. In this review, a series strategies are summarized boost reduce cost under acidic condition perspective composition structure optimization. The regulation through doping metals or nonmetals can effectively inspire alloy...

Abstract Developing low‐cost, highly active, and stable bifunctional catalysts is of great significance for electrochemical water splitting. Herein, novel Ru‐O 3 Se 4 single atoms doped Ni 2 /FeSe interface catalyst fabricated by a two‐step method hydrogen evolution reaction (HER) oxygen (OER). Notably, Ru‐Ni nanosheets exhibit excellent HER (43 mV@10 mA cm −2 ) OER (283 mV@100 activities in alkaline solution. In particular, the mass activity 3593.61 mg Ru −1 at 200 mV 7073.80 400 OER, which...

With the remarkable success of deep learning, a novel AI-deployment strategy on mobile devices called collaborative intelligence (CI) is proposed recently, which can greatly improve efficiency neural network by distributing work-loads between and cloud. In order to reduce transmission overhead, feature maps obtained from need be compressed before being transmitted this paper, we propose multi-scale compression (MSFC) framework for applying complex multi-task learning in CI deployment...

Abstract Fault diagnosis of rolling bearings is very important for monitoring the health rotating machinery. However, in actual industrial production, owing to constraints conditions and costs, only a small number bearing fault samples can be obtained, which leads an unsatisfactory effect traditional models based on data-driven methods. Therefore, this study proposes small-sample method improved Siamese neural network (ISNN). This adds classification branch standard replaces common Euclidean...

Developing bifunctional electrocatalysts with low-content noble metals and high activity stability is crucial for water splitting. Herein, we reported a novel Ru doped FeP4/Fe2PO5 heterogeneous interface catalyst (Ru@FeP4/Fe2PO5) oxygen evolution reaction (OER) hydrogen (HER) by heat treatment coupling electrodeposition strategy. Experiments disclosed that Ru@FeP4/Fe2PO5 proclaimed excellent catalytic the OER (249 mV@100 mA cm–2) HER (49 mV@10 in 1 M KOH environment. More importantly, mass...

Antidrug antibodies (ADAs) against biologics present a major challenge for sustained biotherapy, including enzyme replacement therapies and adeno-associated virus (AAV) gene therapies. These arise from undesirable immune responses, leading to altered pharmacokinetics, reduced efficacy, adverse reactions. In this study, we introduced rationally designed lipid-rapamycin (Rapa)-based nanovaccine restore tolerance overcome drug resistance. The significantly decreased ADA responses when used in...

Abstract The confining effect is essential to regulate the activity and stability of single‐atom catalysts (SACs), but universal fabrication confined SACs still a great challenge. Here, various lattice‐confined Pt supported by different carriers are constructed co‐reduction approach. Notably, single atoms in lattice Ni(OH) 2 (Pt 1 /Ni(OH) ) with high electron‐deficient state exhibit excellent for basic hydrogen evolution reaction (HER). Specifically, just requires 15 mV get 10 mA cm −2 mass...

Cancer vaccines, a critical technology in cancer immunotherapy, have shown great therapeutic potential. However, traditional vaccines based on tumor cell lysates (TCLs) disappointing results early clinical trials due to low immunogenicity, vivo instability, and the inability codeliver with adjuvants. To address these issues, we developed nanoparticle vaccine, R848-GA@TCLs, by modifying toll-like receptor 7/8 (TLR7/8) agonist R848 gallic acid. This nanovaccine leverages "capturing" ability of...

Denoising module is required by any practical video processing systems. Most existing denoising schemes are spatio-temporal filters which operate on data over three dimensions. However, to limit the number of inputs, these only utilize one reference frame and cannot fully exploit temporal correlation. In this paper, a recursive filter named multihypothesis motion compensated (MHMCF) proposed. To correlation, MHMCF performs estimation in frames construct multiple hypotheses (temporal...

Constructing efficient and stable catalysts is the key to achieving green hydrogen production through electrolysis of water. Atomically dispersed have received widespread attention due their high atomic utilization catalytic efficiency. Herein, Pt 1 Mo dual‐atom anchored on nickel selenide nanoisland (Pt /Ni 3 Se 2 ) are prepared by a two‐step method. It only needs 53 mV deliver current density 10 mA cm −2 in M KOH media, mass activity at 200 approximately 4.13 times higher than that Pt/C....

1,2,3-Thiadiazoles serve as masked S-electrophilic thia-1,3-dipoles. Under rhodium/racemic BINAP catalysis, they undergo denitrogenative (3 + 2) umpolung transannulations with aryl isothiocyanates inverse regioselectivity and excellent stereoselectivity, yielding N-aryl 3H-1,2-dithiol-(Z)-3-imines in a redox-neutral, step-efficient, functionality-tolerant manner. An intramolecular S-S bond is impressively forged.

A NiMoP nanorod array catalyst with excellent hydrogen evolution reaction (HER) activity under both acidic and alkaline conditions is constructed. Mechanism studies reveal that the Ni 2 P/NiMoP heterointerface main active site of HER.

Chinese hamster ovary (CHO) cells are common mammalian cell lines for expressing recombinant proteins, yet the expression level of proteins is still hindered. Vector optimization and line modification key factors to improve proteins. In this study, vector was optimized by adding regulatory elements Kozak Leader upstream target gene detect transient stable Results indicated that with addition significantly increased compared control group. addition, inhibition apoptotic pathway has great...

Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not suitable for collaborative intelligence (CI) scenarios. In this work, we propose network with deep joint source-channel coding (JSCC) framework, which allows operating under CI We first feature fusion based (FFMNet) object detection semantic segmentation. Compared other networks, FFMNet gets higher fewer...