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In the context of the global push towards a green economy, this research investigates the impact of green trade barriers on the export trade volume of Chinese photovoltaic products to ASEAN from 2010 to 2021. The strong evidence indicates that green trade barriers have a positive effect on improving the export trade volume of Chinese photovoltaic products to ASEAN. This conclusion remains robust through multiple robustness tests, including excluding data from pandemic-affected years and the only developed country Singapore. Moreover, the impact of green trade barriers varies with exchange rate levels and language environments. In countries with higher exchange rates and countries with different official languages, the positive effect of green trade barriers on trade is more significant. In contrast, in countries with the same official language, green trade barriers have a negative effect on improving the trade volume. Additionally, higher levels of renewable energy consumption diminish the beneficial effect of TBT on photovoltaic trade, and CO2 emissions lessen the detrimental effect of TBT on photovoltaic trade. The findings provide valuable insights for policymakers, suggesting that align with international standards, provide differentiated technical assistance and adopt transparent trade rules when formulating green trade barriers to better support the competitiveness and export growth of Chinese photovoltaic products in the international market.

Analyzing tropical cyclone‐induced remote moisture transport clusters (TRCs) and their effects on precipitation is crucial for understanding precipitation formation and enhancing forecast precision. Prior research, primarily case‐based, did not fully grasp the nature of TRCs. Utilizing an objective TRC identification method, we categorized 65 TRC tracks in East Asia into five types and examined their traits and precipitation links. The findings indicate that the moisture transport height of TRCs varies due to multiple factors, with higher transport linked to the warm conveyor belt and lower transport attributed to Taiwan’s mountain range influencing low‐level moisture. The precipitation peak altitudes of TRCs at higher latitudes are greater, and their precipitation intensity is positively correlated with terrain type, especially coastlines. This study underscores the diversity in TRC characteristics and related precipitation, suggesting that future research should consider the directionality of TRC tracks. Plain Language Summary Examining how water vapor is moved far away by large storms called tropical cyclones (TCs) helps us understand how rain is made and helps us better predict it. Earlier studies did not fully understand what these water vapor clusters, or TRCs, were. Therefore, we used a special method to find and sort TRCs. We identified 65 different paths of TRCs in East Asia and divided them into five different groups. We looked at what makes them different and how they are connected to rain. We discovered that the way that high TRCs move water vapor can change because of many factors. Sometimes, a weather pattern called the warm conveyor belt makes the vapor ascend higher. Other times, the mountains in Taiwan affect the lower part of the vapor. Additionally, TRCs in places that are farther from the equator cause increased amounts of rain, and the amount of rain is closely related to the type of terrain, and this phenomenon is especially prominent near coasts. This study shows that there are many different kinds of TRCs and ways that they affect rain. Future research should also look at the paths that TRCs take. Key Points TC‐induced remote moisture transport frequently occurs over the Yangtze Plain and eastern ocean TC‐induced remote moisture transport has five main kinds of tracks with different triggering mechanisms The orientations further affect precipitation through orographic effects and synoptic circulations

The inner core of a typhoon plays a crucial role in storm intensification and is especially critical for rapid increases in storm intensity. Most of the energy exchange occurs in the inner core, including the eyewall. Moist air rising from the warm ocean releases latent heat, increasing wind speeds and sustaining the warm-core structure through secondary circulations. A deeper understanding of the physical processes in the inner core is essential for improving intensity forecasts and disaster preparedness and mitigation. This paper reviews key studies on the inner core. We focus on lead–lag relationships, eyewall replacement cycles, and waves and oscillations, which are topics that can greatly enhance forecasting capabilities. We highlight limitations of current research and propose key scientific questions that would provide essential insights to improve forecasts and support disaster reduction strategies. These include: (1) what are the physical processes that drive the lead–lag relationship between eyewall convection and intensity changes, and how does the time lag vary across typhoons? (2) What conditions favor merging of the inner and outer eyewalls and completion of the eyewall replacement cycle, potentially leading to rapid intensification before landfall? (3) How do waves and oscillations in the eyewall influence typhoon intensity variations?

Background Cabbage Fusarium wilt (CFW) is a devastating disease caused by the soil-borne fungus Fusarium oxysporum f. sp. conglutinans (Foc). One of the optimal measures for managing CFW is the employment of tolerant/resistant cabbage varieties. However, the interplay between plant genotypes and the pathogen Foc in shaping the rhizosphere microbial community, and the consequent influence of these microbial assemblages on biological resistance, remains inadequately understood. Results Based on amplicon metabarcoding data, we observed distinct differences in the fungal alpha diversity index (Shannon index) and beta diversity index (unweighted Bray–Curtis dissimilarity) within the rhizosphere of the YR (resistant to Foc) and ZG (susceptible to Foc) cabbage varieties, irrespective of Foc inoculation. Notably, the Shannon diversity shifts in the resistant YR variety were more pronounced following Foc inoculation. Disease-resistant plant variety demonstrate a higher propensity for harboring beneficial microorganisms, such as Pseudomonas , and exhibit superior capabilities in evading harmful microorganisms, in contrast to their disease-susceptible counterparts. Furthermore, the network analysis was performed on rhizosphere-associated microorganisms, including both bacteria and fungi. The networks of association recovered from YR exhibited greater complexity, robustness, and density, regardless of Foc inoculation. Following Foc infection in the YR rhizosphere, there was a notable increase in the dominant bacterium NA13, which is also a hub taxon in the microbial network. Reintroducing NA13 into the soil significantly improved disease resistance in the susceptible ZG variety, by directly inhibiting Foc and triggering defense mechanisms in the roots. Conclusions The rhizosphere microbial communities of these two cabbage varieties are markedly distinct, with the introduction of the pathogen eliciting significant alterations in their microbial networks which is correlated with susceptibility or resistance to soil-borne pathogens. Furthermore, we identified a rhizobacteria species that significantly boosts disease resistance in susceptible cabbages. Our results indicated that the induction of resistance genes leading to varied responses in microbial communities to pathogens may partly explain the differing susceptibilities of the cabbage varieties tested to CFW. -meKq2qaHpqpKck3NvZ8m1 Video Abstract

A few new leprosy cases still can be seen in Shandong province after elimination. In post-elimination era, government commitments dwindled and active case-finding activities were seldom done. Most of the cases were detected by passive modes and advanced cases with longer delay and visible disability were common. Comprehensive measures including health promotion, personnel training, reward-offering, symptom surveillance and a powerful referral center were implemented in the past decade. The diagnosis of leprosy was mainly based on three cardinal clinical signs. Two-group classification system developed by the WHO was used and cases were classified into multibacillary (MB) type or paucibacillary (PB) type. Cases detected during period 2007-2017 were analyzed and associated factors of grade 2 disability (G2D) were explored. 231 new leprosy cases detected during 2007-2017 were analyzed. The mean age at diagnosis is 51.7±16.0 years and the number of males, peasants, illiterates, MB cases, G2D cases and immigrants were 130(56.3%), 221(95.7%), 73(31.6%), 184(79.7%), 92(39.8%) and 40(17.3%) respectively. 181(78.4%) cases were reported by skin clinics and 152 (65.8%) cases came from formerly high endemic counties/districts. The annual number of new cases showed a decreasing trend, from 42 cases in 2008 to 13 cases in 2017. 92 (39.8%) cases presented with G2D at diagnosis. The annual proportion of new cases with G2D declined from 50% in 2008 to 23% in 2017. PB type (OR = 2.76, 95% CI, 1.43-5.32), >12 months of patient delay (OR = 2.40, 95% CI, 1.38-4.19), >24 months of total delay (OR = 4.35, 95% CI, 2.33-8.11), detected by non skin-clinic (OR = 3.21, 95% CI, 1.68-6.14), known infectious source (OR = 1.77, 95% CI, 1.01-3.12) were associated with G2D. A few scattered cases still can be seen in post-elimination era and some kind of leprosy control program is still necessary. Government commitments including adequate financial security and strong policy support are vital. Comprehensive case-finding measures including health promotion, personnel training, reward-offering, with an emphasis on former high or middle endemic areas, are necessary to improve early presentation of suspected cases and to increase suspicion and encourage participation of all relevant medical staff. Symptom surveillance based on a powerful transfer center may play an important role in the early detection of new cases in post-elimination era.

The destruction of the microvascular structure and function can seriously affect the survival and prognosis of patients with acute myocardial infarction (AMI). Nuciferine has a potentially beneficial effect in the treatment of cardiovascular disease, albeit its role in microvascular structure and function during AMI remains unclear. This study aimed to investigate the protective effect and the related mechanisms of nuciferine in microvascular injury during AMI. Cardiac functions and pathological examination were conducted in vivo to investigate the effect of nuciferine on AMI. The effect of nuciferine on permeability and adherens junctions in endothelial cells was evaluated in vitro, and the phosphorylation level of the PI3K/AKT pathway (in the presence or absence of PI3K inhibitors) was also analyzed. In vivo results indicated that nuciferine inhibited ischemia-induced cardiomyocyte damage and vascular leakage and improved cardiac function. In addition, the in vitro results revealed that nuciferine could effectively inhibit oxygen–glucose deprivation (OGD) stimulated breakdown of the structure and function of human coronary microvascular endothelial cells (HCMECs). Moreover, nuciferine could significantly increase the phosphorylation level of the PI3K/AKT pathway. Finally, the inhibitor wortmannin could reverse the protective effect of nuciferine on HCMECs. Nuciferine inhibited AMI-induced microvascular injury by regulating the PI3K/AKT pathway and protecting the endothelial barrier function in mice.

Influenza D virus (IDV) is prevalent in cattle in China, and a risk for spillover to other species exists. We detected IDV antibodies in 6/315 of black donkeys in northern China, suggesting cattle-to-donkey transmission and demonstrating the expanding host range of IDV and the need for reassessment of cross-species transmission risks.

Handgrip strength has been shown an indispensable biomarker for older adults. Furthermore, the association between sleep duration and grip strength in special populations (e.g., type 2 diabetics) has been previously documented. However, the association between sleep duration and grip strength has been less studied in older adults and the dose-response relationship is unclear. Therefore, we drew 1881 participants aged 60 years and older from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 to explore their association and the dose-response relationship. Sleep duration was obtained through self-report. Grip strength data were obtained through a grip test using a handgrip dynamometer and divided into two categories: low grip strength and normal grip strength. Thus, dichotomized grip strength was used as a dependent variable. Poisson regression and restricted cubic spline were used for the main part of the analysis. We found that long sleep duration (≥9 h) was associated with a higher prevalence of low grip strength than the normal sleep duration (7–<9 h) group (IRR: 1.38, 95% CI: 1.12–1.69). Moreover, the gender-stratified analysis did not change the original results. This association was particularly pronounced and further strengthened among participants with normal weight (BMI < 25) (IRR: 2.30, 95% CI: 1.64–3.22) and participants aged 60–70 (IRR: 1.76, 95% CI: 1.40–2.22). In addition, with the increase in sleep duration, the multivariate-adjusted IRRs of low grip strength had a general downward trend at first, followed by a brief period of stability, and then presented an upward trend (p-value for non-linearity = 0.001). According to this study, we found that older adults who had long sleep duration had a higher risk of low grip strength. Muscle insulin utilization and muscle glucose metabolism are closely related to grip strength, so our research emphasizes the importance of maintaining normal sleep duration in older adults and suggests that older adults who sleep for a long period should pay more attention to their muscle health.

Landfalling tropical cyclones (TCs) in Northeast China are rare because of the region’s high latitude (>40°N). In 2020, Northeast China was affected by three TCs within half a month—the first time on record. We used the Global Precipitation Measurement orbital dataset to study the precipitation microphysics during the TC period in Northeast China in 2020 (2020-TC), and during September in this region from 2014 to 2019 (hereafter September 2014–September 2019). FY-4A was used to provide cloud top height (CTH). The results show that, compared with September 2014–September 2019, the 2020-TC precipitation has stronger precipitation ice productivity, weaker deposition efficiency, stronger riming, and stronger coalescence processes. The storm top height (STH), CTH, and the difference between the two (CTH-STH) are indicative of the near-surface droplet size distribution (DSD), but there are differences: STH and CTH-STH both correlate significantly with mean mass-weighted drop diameter, whereas only the positive correlation between CTH and normalized drop concentration parameter passes the significance test. These results reveal for the first time the precipitation microphysics of landfalling TCs in Northeast China, and allow discussion of the validity of convective intensity indicators from the perspective of DSD.

Previous studies have reported the large-scale meteorological conditions and dynamic causes of the extreme period of meiyu rainfall in 2020. However, the microphysical properties of meiyu precipitation during this period remain unclear. We used the Global Precipitation Measurement 2ADPR orbital precipitation dataset, the IMERG gridded precipitation dataset and the ERA5 reanalysis dataset to study the characteristics of meiyu precipitation over the Yangtze Plain during the extreme meiyu period in 2020 and historical meiyu periods from 2014 to 2019. The results showed that the average daily rainfall during the 2020 meiyu period was 1.5 times higher than the historical average as a result of the super-strong water vapor flux in the low- to mid-level layers of the atmosphere. The amplitude of nocturnal low-level water vapor transport during the 2020 meiyu period was twice the historical average and, therefore, the diurnal peak of meiyu rainfall at 0630 LST in 2020 was significantly earlier than the historical average. The moisture transport was the dominant moisture supply for precipitation during the 2020 meiyu period, whereas the moisture convection contributed less than in the meiyu periods of 2014–2019. This led to the precipitation in the 2020 meiyu period having a higher concentration of smaller droplets than the historical average. There were lower proportions of size-sorting evaporation and break-up processes in the liquid-phase precipitation processes in the 2020 meiyu than the historical average, but a higher proportion of coalescence processes. These results provide a factual basis for the simulation and forecast of precipitation during extreme meiyu periods.