Yangtze River Pharmaceutical Group (China)

According to the duality of inductive wireless power transfer (IPT) and capacitive wireless power transfer (CPT) in coupler and tuning method, an integrated coil is designed in this paper to constructs a compact hybrid wireless power transfer (HPT). The magnetic field coupling and the electric field coupling constructed by coils and plates share one energy transmission channel, which enhances the transmission power and energy density. The inductance of coils and capacitances of plates compensate for each other. The resonant frequency of integrated coils is adjusted to kHz. Additional tuning inductances and capacitances are eliminated to build a lighter self-resonance coupler. The stacked structure design of coils and plates enables compact integration and miniaturization of integrated coils. A 300W experimental platform was built, and some comparative experiments were conducted. Compared to the coupler of IPT, the self-resonance coupler has improved performance in transmission power, anti-offset, and over-coupling suppression. HPT performs better than CPT in transmission distance, transmission power, and transmission efficiency. It has some advantages in the medium-power application scenarios such as inspection robots and drones, which expect couplers to have a smaller volume, lighter weight, higher power density and better anti-offset.

This study proposes a binary medium constitutive model to address critical gaps in predicting the mechanical behavior of unsaturated silty clay under combined freeze–thaw cycles and repeated static loading. Existing frameworks often neglect progressive bond degradation caused by cyclic environmental and mechanical stressors, leading to inaccurate predictions of long-term soil performance. Our framework explicitly integrates a breakage ratio (λ) to quantify transitions between elastic-brittle bonded elements and elastoplastic frictional elements. Laboratory experiments demonstrate the model’s predictive capability, revealing an 18.6% increase in maximum deviatoric stress after the second freeze–thaw cycle at −5°C, which is a critical threshold for irreversible damage. Cumulative degradation reduces the bonded bulk modulus by 48% and increases the plastic strain by 32% after eight loading cycles, aligning with field observations of foundation instability in frost-prone regions. By bridging microstructural transitions (e.g., ice lens growth, pore evolution) to macroscale responses, the model offers a validated tool for designing resilient infrastructure in cold regions, addressing the limitations of existing approaches.

Reservoir basins globally face an intensifying sustainability paradox: balancing economic growth, social welfare, and environmental protection often triggers systemic trade-offs. However, comprehensive assessments revealing these internal imbalances remain scarce, hindering targeted governance. To address this gap, this paper developed a multidimensional framework of Ecological development benefits, integrating Entropy-Weighted AHP and Fuzzy Mathematics. Applying this to 2015–2022 data from the Sanmenxia Reservoir in the Yellow River Basin of China revealed three development paradoxes: Protection-prioritized regions face diminishing returns; growth-driven regions accumulate ecological deficits; and environmentally stagnant regions decline in resilience. Critically, no optimal pathway exists—all subregions exhibited significant imbalances despite aggregate ecological improvements, and policy shocks (e.g., COVID-19, new environmental laws) amplified disparities, exposing institutional fragmentation. Based on the research findings, policy recommendations are proposed for green financing mechanisms, adaptive governance, and region-centered protection, which directly advance SDGs 6 (water security), 8 (inclusive growth), and 13 (climate action), offering a transferable analytical framework for basins like the Mekong and Nile, which are confronting similar paradoxes.

The avian immunosuppressive and neoplastic diseases are great threats to the poultry industry, causing huge economic losses worldwide. Most recently, the emerging hypervirulent variants of Marek's disease virus (HV-MDV), partially co-infected with avian leukosis virus (ALV) and/or reticuloendotheliosis virus (REV), have been identified as the key driver of tumour outbreaks in vaccinated chicken flocks, but the role of chicken infectious anemia virus (CIAV) remains unclear. Herein, we have investigated the prevalence and co-infection of CIAV in 71 clinical tumour-bearing flocks collected from central China during 2021-2023, which has shown a CIAV positivity rate of 59.2% (42/71). Notably, the incidence of CIAV mono-infection increased significantly from 0% (0/29) in 2021 to 23.7% (9/38) in 2023, whereas CIAV + MDV co-infection decreased from 65.5% (19/29) to 31.6% (12/38). A total of 20 viral genomes of epidemic CIAV isolates from diverse sources were obtained, and the phylogenetic analysis, including 91 reference isolates were clustered into four major lineages (A-D), with clade C further subdivided into subclades C1 and C2. Clade C1 consisted predominantly of Asian isolates, with 88.5% (46/52) of the isolates originating from mainland China. Among the 20 new isolates, 17 were clustered in subclade C1, two in C2, and one in B. The VP1 gene phylogeny showed a topology largely consistent with that of the whole-genome analysis. Moreover, all newly characterized isolates contained glutamine (Q) at VP1 residue 394, a molecular marker associated with high pathogenicity. Collectively, our data suggest that prevalent HV-MDV variants together with CIAV co-infections are the primary drivers of the ongoing tumour outbreaks in Chinese poultry flocks. Notably, the significantly increased CIAV mono-infections, possibly resulting from an independently evolving lineage among circulating Chinese strains, are likely to pose a new challenge for future control of disease.

To address the challenges posed by spatial constraints and fluid perturbations in underwater tunnels, this study proposes an efficient autonomous underwater vehicle (AUV) and introduces a tracking control strategy to tunnel conditions. First, the AUV integrates a modular buoyancy adjustment system, effectively mitigating the issues of large turning radii and loss of pitch control at low speeds typically encountered with conventional rudders. The Variable Look-Ahead Distance (VLAD) mechanism is integrated into the Adaptive Line-of-Sight (ALOS) guidance system to facilitate precise estimation of the angle of attack and ensure rapid convergence of tracking errors. In addition, a hyperbolic sliding mode switching controller (HSMC) is proposed, and its stability is rigorously analyzed. This approach dynamically adjusts the sliding mode surface based on the characteristics of the two hyperbolic functions, effectively reducing control buffering and improving the stability of wall tracking. Finally, the experimental results from both planar and curved wall tracking tests demonstrate that the proposed control strategy significantly reduces tracking errors while exhibiting superior resilience to interference.