As one of the ten major categories on the UNESCO's Representative List of Intangible Cultural Heritage of Humanity, traditional opera is a crystallization of human civilization. ‌ The Chinese Traditional Opera Video Super-Resolution (CTOVSR) was developed to protect these precious and irreplaceable aged Chinese opera videos. We analyzed the entire degradation process throughout video lifecycle in this paper. By utilizing high-resolution (HR) videos from professionally restored films and their corresponding low-resolution (LR) versions distributed online, we proposed a novel construction method for LR-HR video sequence pairs, named "Real-world+". This method ensures that the pairs accurately reflect the real-world degradation process and are strictly aligned both spatially and temporally. We further augmented CTOVSR with synthetically degraded data, resulting in 900 LR-HR video sequence pairs, each pair containing 100 consecutive frames, featuring various unique elements of Chinese traditional opera. While the primary focus of this work is the dataset itself, our proposed dataset construction methodology also offers a valuable practical approach for the preservation of other types of precious historical heritage.

Sodium-ion batteries (SIBs) are promising for large-scale energy storage, owing to their resource abundance and low cost. However, long-term stability is constrained by complex interfacial interactions and microstructural degradation. This study investigates the mechanistic coupling between anode composition, electrolyte chemistry, and solid electrolyte interphase (SEI) evolution in full-cell SIBs employing sodium vanadium phosphate (NVP) cathodes. Pure tin (Sn), hard carbon (HC), and Sn-HC composite anodes were systematically evaluated with carbonate ester- and ether-based electrolytes. Microscopic and spectroscopic analyses reveal that Sn-rich electrodes undergo significant pulverization and unstable SEI formation, whereas HC maintains structural integrity and forms kinetically stable SEI. On the other hand, the Sn-HC composite mitigates Sn's mechanical degradation while enhancing capacity retention. Electrochemical analysis highlights the critical role of electrolyte choice in modulating redox reversibility and interfacial integrity. Accelerating rate calorimetry (ARC) links interphase behavior to distinct thermal decomposition pathways and self-heating rate. These findings provide mechanistic insights into the electro-chemo-mechanical degradation processes dictating the long-term stability and thermal safety of SIBs.

Abstract To date, sodium hexafluorophosphate (NaPF₆) in carbonate solvents is the state-of-the-art electrolyte in sodium-ion capacitors (SIC). However, it possesses serious safety issues owing to its high fluorine content, and poor chemical and thermal stability, resulting in the formation of corrosive and hazardous byproducts. For this reason, its replacement with less fluorinated salt is considered of great importance for the development of sustainable SICs. In this work, we investigate the use of sodium bis(trifluoromethylsulfonyl)imide (NaTFSI) and sodium bis(fluorosulfonyl)imide (NaFSI), which are more sustainable and contain less mass percentage of fluorine compared to NaPF6 . The chemical-physical properties of electrolytes containing these salts dissolved in a mixture of ethylene carbonate and propylene carbonate was studied and compared to that of the state-of-art electrolyte. The use of these electrolytes in combination with hard carbon and activated carbons electrodes, in lab-scale SIC was thoroughly analysed. SICs containing these imide-based electrolytes exhibit far superior long-term stability compared to the state-of-the-art system. Furthermore, the degradation processes occurring in these innovative devices were investigated by X-ray photoelectron spectroscopy. The result of this study indicates that it is possible to realise high-performance SICs containing low fluorinated salts.

This article examines the mechanics, environmental aspects, and effects of biopolymer degradation as sustainable substitutes for conventional plastics. To maximize their environmental performance, it is important to understand degradation processes and the biological, abiotic, and environmental factors such as temperature, moisture, microbial activity, oxygen, pH, and UV exposure. The review emphasizes both the possible hazards, such as microplastic production, toxicity, and ecological disruptions, and the positive environmental advantages, such as pollution reduction and microplastic mitigation. It also addresses contemporary issues such as legislative gaps, lack of standardized testing, delayed degradation in natural environments, and financial constraints. In order to promote sustainable, biodegradable materials that support global environmental and societal goals, future approaches will concentrate on cutting-edge monitoring technologies, circular economy principles, policy development, and public awareness. In conclusion, biopolymers have a lot to offer the environment, but in order to fully realize their potential in sustainable development, further study, technological progress, and international collaboration are needed.

Abstract Accurately predicting the remaining useful life of bearings is crucial for ensuring the reliability and safety of rotating machinery across various industrial scenarios. For instance, the bearings of air compressors in fuel cells, as key components, directly affect the reliability of the entire system. However, existing prediction methods still face three core challenges: insufficient extraction of degradation features, low network prediction accuracy, and inadequate local information acquisition capability of prediction networks. To address these issues, this paper proposes a novel deep residual shrinkage network-temporal convolutional network (DRSN-TCN) prediction framework integrated with weighted health indicator (HI) and a multi-scale attention mechanism, with its core innovations reflected in three aspects: first, a weighted feature fusion method is proposed to construct nonlinear HIs, which evaluates the contribution of each statistical feature to the degradation process based on three quantitative metrics—monotonicity, trendability, and prognosability, strengthens key degradation information and suppresses noise interference, and ultimately generates HIs with richer degradation information. Second, a DRSN-TCN integrated architecture is designed, where embedding the DRSN module into the TCN network not only expands network depth to enhance deep feature extraction capability but also mitigates the gradient explosion problem via residual learning and soft thresholding mechanisms. Third, a multi-scale attention mechanism is innovatively introduced to enable the model to simultaneously focus on the short-term fluctuations and long-term evolutionary trends of bearing degradation, thereby alleviating the local information loss issue of TCN caused by oversized dilated convolution kernels. Validation results based on two bearing durability test datasets show that, compared with current mainstream state-of-the-art methods, the proposed framework reduces the root mean square error by at least 31% and the mean absolute error by at least 24%, fully verifying its superior prediction accuracy and robustness.

Unraveling the structural, optoelectronic and vibrational properties of L-phenylalanine L-phenylalaninium malonate crystal: An experimental and theoretical approach.

Semiconductor-based photocatalysis using TiO2, ZnO, and related materials offers a promising solution for efficient wastewater treatment through light-assisted advanced oxidation processes. In this study, oxygen vacancy (Ov)-rich ZnO micrometer-sized particles (ca. 0.5 μm) are grown on a conductive carbon cloth via a one-step molten salt method. The effects of different coordinating anions added into the molten salt on the morphological characteristics of the resultant ZnO crystallites are studied. The optimized photocatalyst (CC@ZnO-3 min) achieves near-complete degradation of 20 ppm ofloxacin within 2 h under UV irradiation and in the presence of 5 mM KHSO5 (PMS). In the absence of PMS, it removes 26% of total organic carbon (TOC) after 8 h─a 6-fold improvement over commercial ZnO with an average particle size of ca. 0.2 μm, which is also immobilized on carbon cloth with a similar loading mass of ca. 7.0 mg·cm-2. Radical trapping experiments reveal that superoxide (·O2-) and holes play dominant roles in the degradation process. The engineered oxygen vacancies not only enhance charge carrier separation but also significantly improve electron transfer efficiency. This work presents a strategy for developing high-efficiency photocatalysts to address pharmaceutical pollution.

Comprehensive and continuous assessment of organ physiology and biochemistry, beyond the capabilities of conventional monitoring tools, can enable timely interventions for perioperative complications such as organ ischaemia and transplant rejection. Here we present an integrated bioresorbable system that enables multiplexed, real-time and spatially mapped electrochemical monitoring of deep organs throughout the surgical course. Using a 3D printing-based, photolithography-free fabrication process, the system features a flexible, 3D programmed, individually addressable microneedle sensor array with backward-facing barbs for conformal and stable organ interfacing and 3D parenchymal probing. Electrochemical functionalization of microneedle tips enable concurrent monitoring and spatial mapping of key biochemical markers, such as electrolytes, metabolites and oxygenation, in deep organs for at least 7 days. An electrically programmable self-destruction mechanism offers controllability over the degradation process, eliminating the need for device retrieval. Demonstrations in clinically relevant complications such as kidney ischaemia and gut disorders in animal models highlight the broad applications of this device in intra- and postoperative monitoring, advancing perioperative care and critical care medicine.

Research on the process of synergistic degradation of corn straw by probiotics-enzymes based on microbiome and metabolomics.

Photocatalysis research has evolved towards increasingly sophisticated structural regulation and material design. The synergistic enhancement of photocatalysis by multi-component semiconductors and biochar warrants detailed investigation. This study introduces an innovative biochar-based g-C3N4/Bi2WO6/Ag3PO4 nanocomposite (CN/Bi/Ag@ACB), which was applied to the efficient removal of antibiotic pollutants represented by tetracycline (TC). Findings reveal that CN/Bi/Ag@ACB forms a double Z-scheme heterojunction, significantly reducing photogenerated carrier recombination. It absorbs light in the 200-800 nm range, with a band gap of 1.91 eV. Under 120 min of illumination, the composite nearly completely removed 50 mg·L-1 of TC, achieving a removal rate of 0.0351 min-1, which is 8.56-13.50 times higher than that of the individual semiconductors. In real wastewater, TC removal exceeded 85.95%, with concurrent removal of other antibiotics, and achieved 99% sterilization of E. coli and S. aureus within 48 hours. The catalytic system was predominantly driven by ·O2-, h+, and ·OH radicals. The unique structure and surface characteristics of the composite, along with the incorporation of heteroatoms, substantially enhance photocatalytic activity. The TC degradation process is associated with the conversion of fulvic and humic acids, with three potential degradation pathways proposed. This study elucidates the synergistic mechanisms of photocatalysis enhancement by multi-component semiconductors and biochar.

Abstract Olive mill wastewater (OMW), a by-product of olive oil production, is widely reused as an organic amendment in Mediterranean agriculture, yet its environmental behavior remains insufficiently characterized under realistic seasonal scenarios despite its growing agronomic relevance in many producing regions. OMW contains high concentrations of organic matter and polyphenolic compounds that can alter soil and groundwater quality. Understanding its fate in soil under seasonally variable climatic conditions is essential for evaluating environmental risks and valorization potential. OMW is widely reused as an organic amendment in Mediterranean agriculture, yet its environmental behavior remains insufficiently characterized under realistic seasonal scenarios despite its growing agronomic relevance in many producing regions. A laboratory lysimeter experiment was conducted to simulate OMW application to soil under semi-arid climatic conditions. Four seasonal phases two winters, one spring, and one summer were reproduced over 18 weeks. Leachate and soil properties were analyzed for soluble phenolic compounds (SPC), pH, electrical conductivity (EC), water drop penetration time (WDPT), and dissolved organic carbon (DOC) quality, specific ultraviolet absorbance at 254 nm (SUVA₂₅₄). Wet winter conditions enhanced OMW percolation, producing elevated SPC and EC levels in leachates, while moderate spring conditions promoted degradation processes, lowering SPC in leachates and reducing topsoil water repellency. Hot, dry summer conditions induced polymerization and accumulation of OMW-derived compounds at the topsoil, whereas the second winter simulation showed lower SPC values, indicating partial stabilization of the soil system after repeated exposure cycles Seasonal climatic variability thus exerts a strong control on OMW degradation and mobility in soil. These insights emphasize the need for season-specific guidelines for land application, particularly in semi-arid regions where rainfall distribution is highly irregular. The results provide a scientific basis for improving management strategies to minimize environmental risks and support the sustainable reuse of OMW as an organic soil amendment within integrated soil fertility programs.

Thermal stimulation unlocks ligand-dependent selective pathways in Cu(II)/PMS oxidation of recalcitrant phosphonates.

Novel MBP/Fe2+/PMS process for efficient synergistic degradation of cefixime in water

La replaced Bi3+ in BiO2-x for oxygen vacancies generation: degradation of antibiotics and biological toxicity elimination.

A novel probiotic bioremediation strategy for fermented foods: Degradation of β-cypermethrin and its toxic metabolites by Bacillus velezensis BV-07.

A data-driven indicator for assessing the evolving impact of the EU Common Agricultural Policy on soil erosion mitigation.

Degradation of organic contaminants by non-thermal plasma: Unraveling the pH-dependent mechanism based on experiment, density functional theory analysis and machine learning.

Numerical study on the sand burial process of desert highway and the degradation process of highway protected system

ABSTRACT In this study, an iron‐based metal–organic framework promoted cinnamon bark composite (FeMOF/CB) was synthesized and evaluated for the photocatalytic removal of rhodamine‐B (RhB) under visible light irradiation (400–800 nm). Photocatalytic experiments were carried out using a catalyst dosage of 20 mg, an initial RhB concentration of 10 mg/L, and near‐neutral pH conditions. The structural, functional, and optical properties of the prepared materials were characterized by SEM, FTIR, UV–Vis DRS, XRD, and BET analyses, revealing successful integration of FeMOF onto the CB surface and a narrow band gap of 2.10 eV. Under visible light irradiation, the FeMOF/CB composite achieved 94.52% RhB removal within 90 min, markedly outperforming pristine CB (55.33%). Mechanistic investigations, including pH‐dependent studies, radical scavenging experiments, and kinetic analysis, indicated that the photocatalytic degradation process is predominantly governed by photogenerated holes (h + ). Reusability tests demonstrated that FeMOF/CB retained over 70% of its initial efficiency after five successive cycles, confirming its structural stability and potential applicability in practical wastewater treatment systems.

Targeting LINC02613 to inhibit oral squamous cell carcinoma metastasis and progression via the rehabilitation of LCP1 ubiquitination.