Guangxi Normal University for Nationalities

Moral injury correlates significantly with posttraumatic stress disorder, depression, and suicide, affecting soldiers' combat effectiveness and well-being. Despite growing awareness, it is an emerging research area, mainly studied in Western military cohorts. In China, research on its mechanisms and influencing factors in the unique social-cultural context is scarce. Retired college soldiers are crucial, being high-quality military reserves and national defense educators. Their moral injury during service impacts postretirement adaptation and college conscription. Thus, exploring the internal mechanism of moral injury in this group has great academic and practical significance. A multifaceted sampling approach, including snowball, purpose-based, and third-party introduction sampling, was used to select 20 retired college soldiers for interviews. NVivo 12 software was used to process the data. Content analysis based on grounded theory involved three-level hierarchical encoding. An iterative verification loop ensured data saturation for a reliable final theoretical model. Moral injury stems from potential events, but actual injury requires role conflict and cognitive dissonance. Role conflict pits competing roles against each other, while cognitive dissonance mismatches beliefs and actions. Six factors modulate this process: stereotypes, role identity, personality traits, attribution styles, moral resilience, and rumination, which can either worsen or buffer moral injury. This study innovatively explores moral injury's internal mechanism in Chinese society, creating a culture-specific framework. Future research should further investigate moral impairment in the Chinese context. Intervention projects can target influential factors like role identity, stereotypes, and personality to manage role conflict, reduce cognitive dissonance, and enhance moral resilience, thus safeguarding well-being. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

In modern power distribution systems, ensuring stability, adaptability, and intelligent decision-making under dynamic load conditions remains a major technical challenge. This paper proposes an Intelligent Agent–based Optimization Simulation Framework (IA-OSF) designed to enhance the reliability and operational efficiency of complex medium- and low-voltage distribution networks. The framework integrates a multi-agent perception–learning–optimization cycle, where each agent represents an autonomous decision node capable of sensing local environmental changes, extracting relevant features, and executing optimized reconfiguration strategies through reinforcement feedback. The proposed IA-OSF uses a hybrid GA–DQL learning core to achieve fast convergence and fault-adaptive control. Experimental evaluation using a dynamic power distribution dataset demonstrates that IA-OSF surpasses existing optimization approaches such as PSO, MARL, and GNN-PPO by achieving superior accuracy (97.8%), precision (96.3%), and reliability indices (Delivery Reliability = 0.971, System Resilience = 0.926). The results confirm that intelligent agent collaboration significantly reduces convergence time and enhances recovery performance after fault events. This study provides a reproducible and extensible foundation for developing autonomous, intelligent, and resilient distribution network control systems, offering a theoretical and practical reference for China’s ongoing smart-grid modernization initiatives. The proposed framework was evaluated in a simulated 48-node distribution network environment constructed using a digital-twin architecture. All experiments were executed on a Python-based platform with GA–DQL hybrid optimization, using a dataset comprising 3,456 time-stamped operational records generated from dynamic load and voltage profiles. Performance metrics were obtained under consistent train–test splits (80/20), five repeated simulation runs, and uniform hyperparameter settings to ensure reproducibility and experimental fairness.

The digital divide between large enterprises and SMEs (Small and Medium-sized Enterprises) within industrial clusters poses a significant challenge to achieving collective digital transformation, exacerbated by the quasi-public goods, attributes of digital inclusion ecosystems, and the prevalence of free-riding behavior. This paper investigates whether platform enterprises, as core actors occupying structural holes in cluster networks, can foster the co-construction of a digitally inclusive ecosystem. We developed a complex network public goods game model, incorporating performance feedback into a modified Fermi learning to capture firms’ adaptive decision-making based on historical and social aspirations. The model simulates strategic interactions on both small-world and scale-free networks, characteristic of industrial clusters. Numerical simulations reveal that: (1) The core driver of co-construction is the investment return coefficient; (2) Performance feedback amplifies individual rationality, accelerating the formation or collapse of cooperation depending on the investment return coefficient; (3) Platform empowerment—specifically, selectively connecting and incentivizing cooperative firms—effectively promotes ecosystem co-construction, with this strategy proving most impactful when investment returns are moderate. Furthermore, while this selective empowerment strategy benefits the cluster overall, its effect on the platform’s own revenue is network-dependent, showing a more pronounced decline in small-world structures. This study provides a novel analytical framework for understanding strategic interactions in digital inclusion and offers practical insights for policymakers and platform leaders in orchestrating collaborative digital transformation.

Sidestep cutting is a fundamental yet high-risk movement in badminton, often placing considerable biomechanical stress on the lower limbs. Arch support insoles are commonly used to improve foot stability and redistribute loads, but their specific biomechanical effects during badminton movements remain unclear. This study investigated how different arch support heights influence lower limb mechanics during a 45-degree sidestep cutting (45C) maneuver in badminton players, with a focus on joint kinematics, kinetics, and contact forces. Fifteen male athletes performed 45C maneuver trials under three insole conditions: no support (NS), low support (LS), and high support (HS). Lower limb biomechanics were analyzed using musculoskeletal modeling in OpenSim, assessing joint angles, joint moments, and joint contact forces at the ankle, knee, and hip. A one-way repeated-measures ANOVA was used to evaluate differences across conditions. The high-support condition significantly increased ankle dorsiflexion (P = 0.002) and knee external rotation (P < 0.001) compared with the no-support and low-support conditions. Hip extension moments were higher under the high-support condition (P = 0.043). Anterior–posterior ankle joint contact force increased under high support (P = 0.014), while no significant differences were observed in knee or hip joint contact forces across conditions. These findings describe acute mechanical responses under controlled laboratory conditions. Whether these responses relate to long-term movement strategies in different athlete populations remains to be clarified in future work.

IntroductionA central tension exists within Charles S. Peirce’s philosophy of mind: while he characterizes perception as an “extreme case of abduction,” its involuntary nature seems to exclude it from the realm of reasoning. This paper aims to resolve this tension and develop a unified framework for understanding perception and emotion.MethodsWe propose a two-tier model of abduction, distinguishing between abductive insight (the spontaneous, non-volitional generation of a hypothesis) and abductive reasoning (its conscious, conceptual endorsement). This theoretical model is integrated with the Predictive Processing framework, which provides a mechanistic account of abduction as hierarchical prediction error minimization.ResultsThe model demonstrates that the formation of the perceptual gestalt (the percept) constitutes abductive insight, while the conceptual categorization of that gestalt (the perceptual judgment) constitutes abductive reasoning. This framework is successfully extended to the domain of emotion, showing that Barrett’s theory of constructed emotion instantiates the same architecture: core affect serves as abductive insight into interoceptive signals, and emotional categorization acts as abductive reasoning that makes affective states intelligible.DiscussionThe two-tier model of abduction successfully resolves the Peircean tension and provides a unified account of perception and emotion. This synthesis contributes to philosophical psychology by revealing how conceptual operations (abductive reasoning) shape affective experience. Furthermore, it suggests practical implications for emotion regulation, pointing to interventions that can target either the level of core affect (abductive insight) or emotional categorization (abductive reasoning).

Mangrove forests represent a complex ecosystem inhabiting tropical and subtropical intertidal zones, harboring diverse microbial communities including fungi, actinomycetes, bacteria, cyanobacteria, algae, and protozoa. Among these communities, mangrove-derived fungi, as the second-largest ecological group of marine fungi, not only play essential roles in establishing and sustaining this biosphere but also serve as an important source of structurally unique and biologically active secondary metabolites. This review systematically summarizes research progress on metabolites isolated from mangrove-derived fungi and their associated bioactivities over the recent five years (2020–2025). Emphasis is placed on 457 metabolites documented in 97 selected publications, with a focus on the biological activities and distinctive chemical diversity of these secondary metabolites. This review provides an important reference for the research status of secondary metabolites isolated from mangrove-derived fungi and the lead compounds worthy of further development, and reveals that mangrove-derived fungi have important medicinal values and are worthy of further development.

ABSTRACT This letter proposed a high‐gain and high‐directivity bow‐tie antenna array (BTAA) with a composite reflector (CR) and a gradient refractive index (GRIN) lens. The CR is composed of two types of units with different mechanisms while the GRIN lens consists of eight metamaterial units with different refractive index. The measured results show that the maximum gain of the target antenna is 13.22 dBi, antenna gain is improved about 4.75 and 1.15 dB based on these structures, respectively. In addition, the minimum value of half‐power beamwidth (HPBW) in x O z plane is 37.1 degrees, the maximum value of the sidelobe level is ‐10.19 dB, the proposed antenna has a good directivity in operation band. The simulation and measurement results demonstrate that proposed antenna has a good application potential in shallow GPR systems.

Abstract Brown sugar (BS), Red granulated sugar (RGS) and White sugar(WS) are three key sweeteners and food additives in China. Notably, BS possesses significant nutritional value and has been widely used in Chinese medicine for its supportive therapeutic properties.This study evaluated the anti-fatigue, the amelioration of qi deficiency and blood stasis, as well as the antioxidant activities of these sugars using a zebrafish model. BS and RGS demonstrated significantly greater efficacy than WS in terms of both anti-fatigue effects and amelioration of qi Deficiency and blood stasis in the zebrafish model. Antioxidant assays revealed that BS, RGS, and WS (500 μg/mL) significantly enhanced superoxide dismutase (SOD) activity in zebrafish embryos compared with the control group. Furthermore, the mineral composition of sugar were determined. Nine mineral elements—potassium (K), calcium (Ca), sodium (Na), magnesium (Mg), iron (Fe), zinc (Zn), copper (Cu), phosphorus (P), and selenium (Se)—were analyzed. BS exhibited markedly higher concentrations of P, Ca, Fe, and Mg than RGS and WS, while selenium (detected at 50 mg/kg) was exclusively detected in BS. Intriguingly, RGS contained four-fold higher potassium levels than BS. Total polyphenol content, quantified by Folin-Ciocalteu assay, was 4.35 g/kg in BS and 1.53 g/kg in RGS, with no detectable polyphenols in WS.

ABSTRACTDeveloping an easily synthesized and efficient adsorbent for separating Panax notoginseng saponins (PNS) from Sanqi extract remains a significant challenge. Here, a novel rosin‐based polymer composite (RBM/DT) was synthesized using hydrogenated rosin glycol acrylate (HREGA), divinylbenzene (DVB), and N,N‐dimethylaminoethyl methacrylate (DMAEMA), in combination with diatomite, a naturally occurring adsorbent. The physicochemical properties of RBM/DT were characterized by multiple analytical techniques, revealing a mesoporous structure, narrow particle size distribution, and good thermal stability. Following the application of RBM/DT for the purification of PNS, the content of PNS increased markedly from 49.32% to 88.33%. Quantum chemical calculations indicated that van der Waals forces, hydrogen bonding, and electrostatic interactions contributed to the process. Thermodynamic analysis confirmed that the adsorption was spontaneous, endothermic, and involved chemisorption. Collectively, these findings suggest that RBM/DT is an effective, thermally stable, and reusable biosorbent for PNS purification from Sanqi extract.