All-in-one image restoration aims to recover clean images from observations corrupted by diverse and unknown degradations within a unified modeling framework. Existing approaches generally adopt a shared model for different degradation types, while neglecting the intrinsic differences in degradation complexity, thereby leading to inefficient computation and suboptimal restoration performance. In this paper, we revisit the image restoration problem from a structural perspective and reveal that complex degradations can be decomposed into simpler components and additional residual terms, forming an inherent hierarchical structure. This observation provides a principled understanding of task-wise complexity and motivates the design of adaptive restoration models. Based on this formulation, we propose a Unified-Width Adaptive Dynamic Network (U-WADN), which dynamically allocates computational resources according to the underlying degradation complexity. Specifically, a Width-Adaptive Backbone (WAB) is constructed to provide a hierarchy of subnetworks with different representational capacities, while a Width Selector (WS) is introduced to adaptively determine the appropriate subnetwork for each input. Extensive experiments across a variety of image restoration tasks demonstrate that the proposed U-WADN achieves better performance while simultaneously reducing up to 32.3% of FLOPs and providing approximately 15.7% real-time acceleration. The code has been made available at https://github.com/xuyimin0926/U-WADN.
Let g˜ be the affine Lie superalgebra associated with g=sl2|1(C). In this paper, we obtain a character formula for all irreducible ℓ-highest weight g˜-modules with finite-dimensional weight spaces, together with an explicit construction of these modules. To this end, we establish a necessary and sufficient criterion for the irreducibility of all parabolically induced modules over the corresponding r-th Takiff superalgebra of g.
Postoperative peritendinous adhesion arises from sustained fibroblast activity, collagen overproduction, and dysregulated mechanical signaling during tendon repair; however, few current treatments can deliver a prolonged molecular intervention across the proliferative stage of healing. Here, we developed a fluorinated covalent organic framework hydrogel, Thi@FCOF@Gel, that enables temporally controlled delivery of thioridazine hydrochloride for sustained prevention of peritendinous adhesion. Through phenotypic drug screening, thioridazine hydrochloride (Thi) is identified as a previously unrecognized anti-adhesion agent capable of selectively suppressing fibroblast proliferation and myofibroblast activation while exerting limited inhibitory effects on tendon-derived stem cells. To synchronize drug exposure with adhesion formation, thioridazine was encapsulated into a fluorinated COF and incorporated into a hyaluronic acid/quaternized chitosan hydrogel, yielding an injectable, self-healing and mechanically reinforced local depot with prolonged release behavior. Mechanistically, thioridazine-containing hydrogels attenuated extracellular matrix-associated mechanosignaling by downregulating Piezo1, increasing YAP phosphorylation and suppressing α-SMA and collagen III expression. In a rat Achilles tendon repair model, Thi@FCOF@Gel markedly reduced fibrotic bridging, collagen deposition and adhesion scores, while improving gait recovery without compromising tendon biomechanical integrity or systemic safety. This study not only reveals a new anti-adhesion application of Thi, but also provides a COF-enabled hydrogel strategy for precise local drug delivery in postoperative adhesion management.
Transport electrification depends on sustained innovation in the new energy vehicle industry, yet geopolitical instability can weaken the conditions under which firms invest in and commercialize new technologies. Using a 2012-2024 panel of Chinese listed firms in the new energy vehicle value chain, this study constructs a market-implied firm-level measure of geopolitical risk exposure from rolling asset-pricing regressions and examines its relationship with technological innovation. Higher exposure is associated with lower patent output, and the relationship remains robust across alternative measures, specifications, and sample definitions. Additional analyses identify two firm responses to geopolitical stress: greater concentration of supply-chain relationships and higher precautionary cash retention. The negative association is more pronounced for firms with greater structural vulnerability and weaker financial or organizational buffers. These findings suggest that policies for transport electrification should complement demand-side support with measures that preserve innovation finance, diversify access to critical inputs, and strengthen supply-chain resilience under external shocks.
