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Function elements (FE) are vital components of nanochannel-systems for artificially regulating ion transport. Conventionally, the FE at inner wall (FE IW ) of nanochannel − systems are of concern owing to their recognized effect on the compression of ionic passageways. However, their properties are inexplicit or generally presumed from the properties of the FE at outer surface (FE OS ), which will bring potential errors. Here, we show that the FE OS independently regulate ion transport in a nanochannel − system without FE IW . The numerical simulations, assigned the measured parameters of FE OS to the Poisson and Nernst-Planck (PNP) equations, are well fitted with the experiments, indicating the generally explicit regulating-ion-transport accomplished by FE OS without FE IW . Meanwhile, the FE OS fulfill the key features of the pervious nanochannel systems on regulating-ion-transport in osmotic energy conversion devices and biosensors, and show advantages to (1) promote power density through concentrating FE at outer surface, bringing increase of ionic selectivity but no obvious change in internal resistance; (2) accommodate probes or targets with size beyond the diameter of nanochannels. Nanochannel-systems with only FE OS of explicit properties provide a quantitative platform for studying substrate transport phenomena through nanoconfined space, including nanopores, nanochannels, nanopipettes, porous membranes and two-dimensional channels. Function elements are key components for nanochannel systems for artificial regulation of ion transport. Here, the authors investigate the independent role of function elements at the outer surface of nanochannel systems, without function elements at inner walls, in promoting osmotic energy conversion and biochemical sensing.

Over the decades, widespread advances have been achieved on nanochannels, including nanochannel-based DNA sequencing, single-molecule detection, smart sensors, and energy transfer and storage. However, most interest has been focused on the contribution from the functional elements (FEs) at the inner wall (IW) of nanochannels, whereas little attention has been paid to the contribution from the FEs at the nanochannels’ outer surface (OS). Herein, we achieve explicit partition of FE OS and FE IW based on accurate regional-modification of OS and IW. The FE IW are served for ionic gating, and the chosen FE OS (hydrophobic or charged) are served for blocking interference molecules into the nanochannels, decreasing the false signals for the ionic gating in complex environments. Furthermore, we define a composite factor, areas of a radar map, to evaluate the FE OS performance for blocking interference molecules. Nanochannels are often modified with functional elements, but most studies have focused on functionalizing only the inner wall. Here, the authors design nanochannels with distinct chemical modifications on the inner and outer surfaces, providing a route to dual-function channels.

With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as bidirectional encoder representations (BERT), vision transformer (ViT), generative pre-trained transformers (GPT), etc. Inspired by the success of these models in single domains (like computer vision and natural language processing), the multi-modal pre-trained big models have also drawn more and more attention in recent years. In this work, we give a comprehensive survey of these models and hope this paper could provide new insights and helps fresh researchers to track the most cutting-edge works. Specifically, we firstly introduce the background of multi-modal pre-training by reviewing the conventional deep learning, pre-training works in natural language process, computer vision, and speech. Then, we introduce the task definition, key challenges, and advantages of multi-modal pre-training models (MM-PTMs), and discuss the MM-PTMs with a focus on data, objectives, network architectures, and knowledge enhanced pre-training. After that, we introduce the downstream tasks used for the validation of large-scale MM-PTMs, including generative, classification, and regression tasks. We also give visualization and analysis of the model parameters and results on representative downstream tasks. Finally, we point out possible research directions for this topic that may benefit future works. In addition, we maintain a continuously updated paper list for large-scale pre-trained multi-modal big models: https://github.com/wangxiao5791509/MultiModal_BigModels_Survey.

Nanochannels with functional elements have shown promise for DNA sequencing, single-molecule sensing, and ion gating. Ionic current measurement is currently a benchmark, but is focused solely on the contribution from nanochannels’ inner-wall functional elements (NIWFE); the attributes of functional elements at nanochannels’ outer surface (NOSFE) are nearly ignored, and remain elusive. Here we show that the role of NOSFE and NIWFE for ion gating can be distinguished by constructing DNA architectures using dual-current readout. The established molecular switches have continuously tunable and reversible ion-gating ability. We find that NOSFE exhibits negligible ion-gating behavior, but it can produce a synergistic effect in alliance with NIWFE. Moreover, the high-efficiency gating systems display more noticeable synergistic effect than the low-efficiency ones. We also reveal that the probe amount of NOSFE and NIWFE is almost equally distributed in our biomimetic nanochannels, which is potentially a premise for the synergistic ion-gating phenomena. Ion gating in biological channels is commonly controlled by functional elements. Here, the authors elucidate the contribution of outer-surface functional elements on ion gating of biomimetic nanochannels, providing insight into the design of effective nanochannel-based biosensors and electronics.

Solid-state nanochannels (SSNs) provide a promising approach for biosensing due to the confinement of molecules inside, their great mechanical strength and diversified surface chemical properties; however, until now, their sensitivity and specificity have not satisfied the practical requirements of sensing applications, especially in complex matrices, i.e., media of diverse constitutions. Here, we report a protocol to achieve explicit regional and functional division of functional elements at the outer surface (FE OS ) and inner wall (FE IW ) of SSNs, which offers a nanochannel-based sensing platform with enhanced specificity and sensitivity. The protocol starts with the fabrication and characterization of the distribution of FE OS and FE IW . Then, the evaluation of the contributions of FE OS and FE IW to ionic gating is described; the FE IW mainly regulate ionic gating, and the FE OS can produce a synergistic effect. Finally, hydrophobic or highly charged FE OS are applied to ward off interference molecules, non-target molecules that may affect the ionic signal of nanochannels, which decreases false signals and helps to achieve the highly specific ionic output in complex matrices. Compared with other methods currently available, this method will contribute to the fundamental understanding of substance transport in SSNs and provide high specificity and sensitivity in SSN-based analyses. The procedure takes 3–6 d to complete. This protocol enables explicit regional and functional division of functional elements of solid-state nanochannels to improve the sensitivity and specificity of bioanalysis in complex matrices.

In recent years, with the continuous advancement of the construction of the Yangtze River’s intelligent waterway system, unmanned surface vehicles have been increasingly used in the river’s inland waterways. This article proposes a hybrid path planning method that combines an improved A* algorithm with an improved model predictive control algorithm for the autonomous navigation of the “Jinghai-I” unmanned surface vehicle in inland rivers. To ensure global optimization, the heuristic function was refined in the A* algorithm. Additionally, constraints such as channel boundaries and courses were added to the cost function of A* and the planned path was smoothed to meet the collision avoidance regulations for inland rivers. The model predictive control algorithm incorporated a new path-deviation cost while imposing a cost constraint on the yaw angle, significantly minimizing the path-tracking error. Furthermore, the improved model predictive control algorithm took into account the requirements of rules in the cost function and adopted different collision avoidance parameters for different encounter scenarios, improving the rationality of local path planning. Finally, the proposed algorithm’s effectiveness was verified through simulation experiments that closely approximated real-world navigation conditions.

Relapse among abstinent drug users is normal. Several factors are related to relapse, but it remains unclear what individuals' actual life circumstances are during periods of abstinence, and how these circumstances facilitate or prevent relapse. To illuminate drug users' experiences during abstinence periods and explore the real-life catalysts and inhibitors contributing to drug use relapse. Qualitative in-depth interviews were conducted with 20 drug users recruited from a compulsory isolated drug rehabilitation center in Changsha. The interviews were guided by open-ended questions on individuals' experiences in drug use initiation, getting addicted, treatment history, social environment, abstinence, and relapse. Participants were also encouraged to share their own stories. Interviews were digitally recorded and fully transcribed. The data of 18 participants who reported abstinence experiences before admission were included in the analyses. The data were analyzed using a thematic analysis with inductive hand coding to derive themes. Most drug users were able to successfully abstain from drugs. During abstinence, their lives were congested with challenges, such as adverse socioeconomic conditions, poor family/social support, interpersonal conflicts, and stigma and discrimination, all of which kept them excluded from mainstream society. Furthermore, the police's system of ID card registration, which identifies individuals as drug users, worsened already grave situations. Relapse triggers reported by the participants focused mainly on negative feelings, interpersonal conflicts, and stressful events. Craving was experienced but not perceived as a relapse trigger by most participants. This study of in-depth interview with drug users found evidence of situations and environments they live during abstinence appear rather disadvantaged, making it extremely difficult for them to remain abstinent. Comprehensive programs on relapse prevention that acknowledge these disadvantages are implicated.

Using panel data from the Beijing-Tianjin-Hebei and Yangtze River Delta regions from 2014 to 2018, combined with the DEA model and the Malmquist index method, the energy efficiency of high-tech enterprises and their decomposition items are compared from both static and dynamic aspects. The results show that the overall energy utilization efficiency of the two places is in a state of continuous improvement. From 2014 to 2016, the efficiency of high-tech enterprises in the Beijing-Tianjin-Hebei region was better than that of the Yangtze River Delta region, but it was overtaken by the Yangtze River Delta region from 2017 to 2018. In contrast, the advantage of the Beijing-Tianjin-Hebei region lies in pure technical efficiency, and the advantage of the Yangtze River Delta region lies in scale efficiency.

Immunotherapy is a transformative strategy in oncology, yet the development of novel immunomodulatory agents remains essential. This study explores the anti-tumor potential of a structurally unique polysaccharide isolated from an Aspergillus ochraceus (AOP), sourced from the Antarctic Weddell Sea. Using alkaline-assisted extraction and chromatographic purification, we obtained a homogeneous polysaccharide predominantly composed of galactose and mannose, with an average molecular weight of 39.67 kDa. The structure was characterized by an integrated nuclear magnetic resonance spectroscopy and mass spectrometry analysis, revealing that the AOP is composed of β (1→5)-linked galactofuranose units, with a minor substitution by α-D-mannopyranose residues via (1→2) glycosidic bonds at the C2 of the galactofuranose. Functional assays, including CCK8 and wound-healing tests, demonstrated that this polysaccharide, referred to as AOP, inhibited melanoma cell proliferation and migration in a dose-dependent manner. Additionally, the AOP activated RAW264.7 and bone marrow-derived macrophage (BMDM) cells without exhibiting significant cytotoxicity, leading to the release of inflammatory factors such as TNF-α, IL-1β, and IL-6. Mechanistically, the AOP was found to upregulate the expression of CD86 and IFN-γ, while downregulating genes like IL-4 and Arg1. These findings position the AOP as the first documented Antarctic fungal polysaccharide with macrophage-reprogramming capabilities against melanoma, offering novel molecular insights for marine-derived immunotherapeutics.

Atopic dermatitis (AD) is a chronic, relapsing inflammatory skin disease driven by immune dysregulation and epidermal barrier dysfunction. Current therapeutic options are often limited by safety concerns or suboptimal tolerability. In this study, we isolated and structurally characterized GRB-H—a λ-carrageenan-enriched sulfated hybrid galactan from the marine red alga Gigartina radula—as a complex polysaccharide containing κ-, ι-, μ-, ν-, and λ-carrageenan structural units, and systematically evaluated its anti-AD potential using both in vitro and in vivo models. In vitro, GRB-H significantly suppressed lipopolysaccharide (LPS)-induced nitric oxide (NO), tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6) in RAW 264.7 macrophages, and reduced 2,4-dinitrochlorobenzene (DNCB)-evoked TNF-α and IL-1β expression in HaCaT keratinocytes. In a DNCB-induced murine model of AD, topical application of GRB-H markedly ameliorated skin inflammation, epidermal hyperplasia, and dermal immune cell infiltration. GRB-H treatment lowered total serum immunoglobulin E (IgE) levels, restored the imbalanced Th1/Th2 cell ratio in the spleen, and downregulated the mRNA expression of key inflammatory cytokines—including TNF-α, IL-4, IL-5, IL-31, and interferon-γ (IFN-γ)—in lesional skin. Collectively, these findings demonstrate that GRB-H alleviates AD symptoms through coordinated local anti-inflammatory and systemic immunomodulatory actions, highlighting its promise as a marine-derived candidate for the topical management of AD.