Lanzhou City University

Previous research has extensively explored voluntary behavior; however, limited literature specifically addresses employees’ voluntary retweeting behavior in organizational crises. In this study, we sought to investigate employees’ voluntary retweeting behavior using the group engagement model, while exploring its antecedents of respect and prestige. Furthermore, we examined the mediating role of organizational identification and the moderating effects of local orientations and cosmopolitan orientations in these relationships. By collecting data from 321 employees across 13 organizations in China, our results indicate that during organizational crises, respect and prestige exert a direct and significant influence on employees’ organizational identification. Furthermore, organizational identification serves as a crucial mediating mechanism linking respect and prestige to employees’ voluntary retweeting behavior. Importantly, the effects of respect and prestige are contingent on employees’ orientations: the relationship between respect and organizational identification is stronger among employees with local orientations, while the relationship between prestige and organizational identification is more pronounced among employees with cosmopolitan orientations. These intriguing findings have theoretical and practical implications, providing valuable insights for both academic research and practical applications.

2D magnetic oxides have emerged as a pivotal class of materials due to their exceptional environmental stability and tunable magnetic functionalities. Recent advancements in the synthesis of 2D magnetic oxides have opened unprecedented opportunities for next-generation technologies, ranging from spintronics to quantum computing. This review provides a comprehensive analysis of synthesis methodologies and magnetic phenomena in these materials. We first classify 2D magnetic oxides based on structural dimensionality (layered/non-layered) and compositional complexity (binary/ternary systems). Subsequently, we detail advanced vapor-phase synthesis strategies, encompassing additive-assisted growth, spatially confined epitaxy, phase/interface engineering, and heteroatom/heterostructure integration. The intrinsic magnetic properties-including room-temperature ferromagnetism and thickness-dependent spin ordering-are rigorously validated through multimodal characterization techniques such as vibrating sample magnetometry (VSM), magnetic force microscopy (MFM), magneto-optic Kerr effect (MOKE), and superconducting quantum interference device (SQUID) measurements. In addition, we discuss the critical challenges associated with wafer-scale integration and air stability, and propose strategies for designing robust 2D oxide architectures with tailored magnetic responses, providing a roadmap for both fundamental research and device innovation.

Vascular embolism is a common complication associated with the use of injectable fillers. Agarose gel, a novel filler, may have a lower risk of embolism. However, there are few studies investigated the embolism rate of agarose gel and other fillers. This study aims to compare the risk of rabbit retinal artery embolism caused by hyaluronic acid or agarose gel in vivo, as well as their dissolution characteristics in vitro. The study used a rabbit model of retinal artery embolism. Agarose gel or hyaluronic acid was injected into the carotid artery at doses of 0.1, 0.2, and 0.3 mL (each group n = 6). A vascular clamp was used to redirect the material toward the internal carotid artery and retinal artery. The ocular fundus was observed before and after injection to assess embolism. In the dissolution experiment, both materials were dissolved in either saline or hyaluronidase, and their dissolution rate was recorded and quantified. We found that the embolism rate was significantly higher in the hyaluronic acid group especially in the HAhigh group (83.3%) with no embolism observed for agarose gel. As the injection dose increased, the embolism rate in the HA groups increased. Agarose gel can be dissolved in saline and dissolved much faster (about 180s) compared to hyaluronic acid (about 456s) when treated with hyaluronidase (p < 0.001). In rabbit retinal artery embolism model, agarose gel was a safe injectable filler with a low risk of vascular embolism in vivo and fast dissolution rate in vitro. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

The digital transformation of education and the widespread adoption of mobile devices have propelled mobile learning to become the core setting for linguistic teaching, with extensive applications in fields such as second language acquisition and intercultural communication. However, current practices reveal issues such as a disconnect between interactive technology applications and the intrinsic laws of language acquisition, as well as imbalanced cognitive load for learners, which severely hinder the improvement of teaching quality. This study is grounded in the input hypothesis and interaction hypothesis of applied linguistics, the theory of ubiquitous mobile learning in educational technology, and cognitive load theory in cognitive psychology. By using a mixed research method that combines surveys, classroom observations, and quasi-experimental research, the study systematically analyzes the current application of interactive technologies in mobile linguistic teaching, identifies key pain points, and constructs a “technology-teaching-cognition” three-dimensional collaborative strategy system to enhance teaching effectiveness. The empirical findings show that targeted interactive technology designs, such as AR-based situational interaction, AI-driven feedback, and cross-cultural collaborative interaction, can effectively improve the comprehensibility of input, the depth of knowledge internalization, and the authenticity of language output in mobile linguistic teaching. This research provides a reliable reference model for the theoretical refinement and practical optimization of global digital linguistic education.

BackgroundImage‐guided particle therapy (IGPT) has significantly advanced in recent years, particularly in the context of proton therapy. However, imaging solutions for carbon‐ion radiotherapy (C‐ion RT) remain limited.PurposeThis study introduces sliding‐gantry cone‐beam computed tomography (CBCT) and dual‐panel digital radiography (DR) systems, both mechanically independent of carbon‐ion delivery nozzles. We aim to evaluate the image quality metrics and verify the positioning accuracy of the imaging systems.MethodsImage quality was evaluated in terms of spatial resolution, low contrast resolution, image uniformity, and effective imaging area using a multi‐purpose imaging phantom, Catphan 700 phantom, and ImageJ software. The influences of planning computed tomography (CT) slice thicknesses (1–5 mm), radiation quality settings (90–130 kV), and registration algorithms (bony, grayscale, and fiducial marker registrations) on positioning accuracy were assessed using anthropomorphic head‐neck and thoracoabdominal phantom images. The clinical feasibility of both systems was validated in 22 enrolled patients.ResultsThe CBCT exhibited a lower in‐plane spatial resolution (2.50 line pairs per millimeter (lp/mm)) than DR (2.80 lp/mm). Spatial resolution of the CBCT system was measured at 0.90 lp/mm using the CTP 714 module of the Catphan 700 phantom. Both systems achieved a low contrast resolution of 2.30%. DR provided superior image uniformity (1.12%–1.40%) compared with CBCT (2.20%). The effective imaging areas were comparable between the CBCT and DR systems (99.30%–99.50%). Positioning accuracy varied with planning CT slice thicknesses, radiation quality settings, and registration algorithms, showing mean translation displacements ranging from 0.01 to 0.48 mm. CBCT achieved inter‐fraction translational positioning errors within 2 mm in 42.3% (22/52) of fractions and rotational positioning errors within 2° in 80.8% (42/52) of fractions, and DR achieved 33.8% (24/71) and 73.2% (52/71), respectively.ConclusionThe developed CBCT and DR systems achieved superior image quality and sub‐0.5 mm positioning accuracy. These findings support the clinical feasibility of integrating CBCT and DR imaging systems into the C‐ion RT workflow.

This paper proposes a physically constrained dynamic attention graph neural network (PC-DAGNN). Its core innovations lie in: first, constructing a physical prior constraint module to transform experimental theoretical formulas into hard-constrained loss terms, ensuring that the output conforms to physical laws; second, designing a dynamic attention graph neural network module to capture the coupling relationship between error sources at different experimental stages in real time. To verify the algorithm's performance, 10,000 sets of samples (8,000 training sets and 2,000 test sets, categorized as low, medium, and high error strength) containing random and systematic errors were generated using MATLAB, using the photoelectric effect and free fall experiments as experimental scenarios. The results were compared with the least squares (LS) method, a BP neural network, and a generalized graph neural network (GNN). Results show that the PC-DAGNN achieves a maximum reduction of 66% in mean absolute error (MAE) compared to the comparison algorithms, a consistently high physical law compliance rate (PCR) above 96%, and a generalization error fluctuation (GEF) only 50%-60% of that of the comparison algorithms. Research has demonstrated that PC-DAGNN can achieve high-precision and highly stable error analysis while ensuring physical logic consistency, providing an effective technical solution for error correction in complex physics experiments.

Aqueous zinc‐ion batteries (ZIBs) are a promising alternative to lithium‐ion systems, offering intrinsic safety, environmental friendliness, and low cost. Among candidate cathode materials, manganese dioxide (MnO 2 ) stands out for its high theoretical capacity and abundance. However, translating MnO 2 ‐based ZIBs from lab prototypes to practical devices remains challenging due to severe cycling stability issues. Key failure modes, including structural degradation of the MnO 2 cathode, manganese dissolution into the electrolyte with “dead” byproduct formation, sluggish Zn 2+ diffusion and poor electronic conductivity, and unstable electrode/electrolyte interfaces, cause progressive capacity fade. These problems are further exacerbated under realistic operating conditions (thick electrodes, limited electrolyte, and prolonged cycling) required for commercial‐level cells. This review provides a comprehensive analysis of these degradation mechanisms and critically surveys recent mitigation strategies such as MnO 2 nanostructuring and doping, protective surface coatings, and optimized aqueous electrolytes with additives. We also highlight the persistent performance gap between coin‐cell demonstrations and real‐world devices, emphasizing the need for in situ/operando diagnostic techniques, multiscale modeling, scalable electrode fabrication, and standardized testing protocols to better bridge that gap. By uniting fundamental insights with engineering solutions, this work offers guidelines to advance MnO 2 ‐based ZIBs toward durable, high‐performance energy storage devices suitable for broad application.

ABSTRACT The increasing demand for sustainable and efficient energy storage solutions compels the development of high‐performance supercapacitors. In this work, biomass‐derived carbon with abundant active sites and mesoporous structure was successfully prepared by a simple solvothermal synthesis method. Subsequently, carbonized spores@nickel diselenide (TPB@NiSe 2 ) nanocomposites are synthesized via a hydrothermal method. TPB‐20@NiSe 2 exhibits a specific capacitance of 767 F g −1 at a current density of 1 A g −1 and a capacity retention of 83.33% after 3,000 charge‐discharge cycles. The asymmetric supercapacitors (TPB‐20@NiSe 2 ‐3//TPB‐1), which display energy of 21.9 Wh kg −1 at 850 W kg −1 , are assembled by TPB‐20@NiSe 2 ‐3 and TPB‐1 as the cathode and anode, respectively.

A study on Li-doped diamond reveals that interstitial Li atom doping acts as an n-type impurity, while substitutional Li serves as an acceptor impurity. Due to the high binding energy between Li impurity atoms, Li atoms tend to aggregate easily, exhibiting acceptor characteristics. Diamond grown via CVD (Chemical vapor deposition) occurs in a hydrogen-rich environment, where H atoms exist as interstitials in the diamond. During the growth process, a large number of vacancies are present in diamond, which readily capture H atoms, forming H-vacancy complex defects. These complex defects possess negative defect formation energy, allowing them to form spontaneously and exhibit acceptor characteristics. When Li is doped into diamond in a hydrogen-rich environment, the formation energy of co-doping involving substitutional Li and other defects is lower than that of co-doping with interstitial Li and other defects. The presence of vacancies significantly reduces the defect formation energy and increases the binding energy, making the co-doping configuration of substitutional Li and H-vacancy complex defects energetically more stable. The H-vacancy complex defects in diamond compensate for donor impurities, making n-type doping in diamond more difficult to achieve. • Li atoms tend to aggregate easily, exhibiting acceptor characteristics. • Interstitial H atoms are readily captured by vacancy to forming H-vacancy complex defects. • H-vacancy complex defects compensate for donor impurities in diamond.