Radiative trigger thresholds of foliar photoprotective pigment regulation for global vegetation.

Adjustments in foliar photoprotective pigments are crucial for plant adaptation to harsh environments, serving as indicators of environmental stress. However, understanding when and where these adjustments occur across diverse biomes remains unclear due to challenges in large-scale observation. Here, we propose a novel approach to assess dynamics in photoprotective pigments at the canopy level using a new index derived from space-borne optical sensors. This approach generates a global map depicting the daily mean shortwave radiation threshold at which adjustments typically occur under prevailing climatic conditions. The global average of this threshold is 262 ± 50 W m⁻2, with lower values at high latitudes and peaks near 40° in both hemispheres. Temperature exerts a stronger influence on this latitudinal pattern than humidity. Future projections suggest a decrease in this threshold over northern high latitudes, implying exacerbated vulnerability under identical radiation levels due to negative warming responses. Based on this threshold, a high-stress zone around 60°N is identified and is predicted to shift southward in the future. These findings bridge critical gaps in photoprotection research and offer a new perspective on understanding the biogeochemical cycles of global ecosystems. This framework can also enhance our ability to predict the fate of diverse ecosystems under future climate.

Effects of extreme temperatures on public sentiment in 49 Chinese cities.

The rising sentiment challenges of the metropolitan residents may be attributed to the extreme temperatures. However, nationwide real-time empirical studies that examine this claim are rare. In this research, we construct a daily extreme temperature index and sentiment metric using geotagged posts on one of China's largest social media sites, Weibo, to verify this hypothesis. We find that extreme temperatures causally decrease individuals' sentiment, and extremely low temperature may decrease more than extremely high temperature. Heterogeneity analyses reveal that individuals living in high levels of PM2.5, existing new COVID-19 diagnoses and low-disposable income cities on workdays are more vulnerable to the impact of extreme temperatures on sentiment. More importantly, the results also demonstrate that the adverse effects of extremely low temperatures on sentiment are more minor for people living in northern cities with breezes. Finally, we estimate that with a one-standard increase of extremely high (low) temperature, the sentiment decreases by approximately 0.161 (0.272) units. Employing social media to monitor public sentiment can assist policymakers in developing data-driven and evidence-based policies to alleviate the adverse impacts of extreme temperatures.

Effect of acupuncture and moxibustion on intestinal flora in the rats with diarrhea-predominant irritable bowel syndrome based on 16S rDNA technique. / 基于16S rDNAæŠ€æœ¯æŽ¢è®¨é’ˆç¸å¯¹è ¹æ³»åž‹è‚ æ˜“æ¿€ç»¼åˆå¾æ¨¡åž‹å¤§é¼ è‚ é“èŒç¾¤çš„å½±å“.

OBJECTIVES: To explore the effect of acupuncture and moxibustion on intestinal flora in the rats with diarrhea-predominant irritable bowel syndrome (IBS-D) based on 16S rDNA technique. METHODS: Ten rats were randomized from 58 SPF-grade male SD rats to be the blank group. The remained 48 rats were prepared to be IBS-D models by the modified method of acetic acid enema combined with binding tail-clip stress. Forty successfully-modeled rats were randomly divided into a model group, an acupuncture group, a moxibustion group and a western medication group, with 10 rats in each one. In the acupuncture group, the needle was inserted at bilateral "Zusanli" (ST 36) and remained for 15 min in each rat. In the moxibustion group, the suspending moxibustion was delivered at bilateral "Zusanli" (ST 36) for 15 min. The rats in the western medication group were given pinaverium bromide suspension (10 mL/kg) by intragastric administration. The above interventions were performed once daily for consecutive 14 days. The body mass and the score of fecal trait were compared before and after modeling, as well as after intervention in each group. Fecal water content, diarrhea index and colon transit time (CTT) were measured after modeling and intervention in the rats of each group separately. After intervention, the colonic morphology of rats in each group was observed, and using 16S rDNA technique, the intestinal flora was detected. RESULTS: After modeling, compared with the blank group, the body mass and CTT were reduced (P<0.01); fecal trait scores, fecal water contents and diarrhea index increased (P<0.01) in the other 4 groups. After intervention, the body mass and CTT of the rats decreased (P<0.01), and fecal trait score, fecal water content and diarrhea index increased (P<0.01) in the model group compared with those in the blank group. In the acupuncture group, the moxibustion group and the western medication group, when compared with the model group, the body mass and CTT were elevated (P<0.01), while fecal trait scores, fecal water contents and diarrhea index declined (P<0.01). Compared with the western medication group, fecal water content decreased in the acupuncture group and the moxibustion group (P<0.05), while CTT increased in the acupuncture group (P<0.01), the body mass increased and fecal trait score was dropped in the moxibustion group (P<0.05). The colonic mucosa structure was clear and complete, and there was no obvious inflammatory cell infiltration in the blank group. The mild interstitial edema of intestinal mucosa was presented with the infiltration of few inflammatory cells in the model group. There was the infiltration of few inflammatory cells in the mucosa of the acupuncture group, the moxibustion group and the western medication group. Compared with the blank group, the indexes of Richness, Chao1, ACE and Shannon decreased in the model group (P<0.05). Indexes of Richness, Chao1 and ACE increased in the acupuncture group and the moxibustion group (P<0.05), and the Richness index in the western medication group increased (P<0.05) when compared with those in the model group. The relative abundance of Bacteroidetes, Proteobacteria and Prevotella increased (P<0.05), and that of Firmicutes and Muribaculaceae decreased (P<0.05) in the model group compared with those in the blank group. When compared with the model group, the relative abundance of Bacteroidetes, Proteobacteria and Prevotella was reduced (P<0.05), while that of Firmicutes and Muribaculaceae increased (P<0.05) in the acupuncture group, the moxibustion group and the western medication group; and that of Actinobacteria and Bifidobacterium increased in the acupuncture group and the moxibustion group (P<0.05). Compared with the blank group, the relative abundance of lipopolysaccharide (LPS) biosynthesis was elevated (P<0.05), and that of folate biosynthesis, lipoic acid metabolism, zeatin biosynthesis, ubiquinone and other terpenoid quinone biosynthesis decreased (P<0.05) in the model group. The relative abundance of LPS biosynthesis was dropped (P<0.05), and that of folate biosynthesis, lipoic acid metabolism, zeatin biosynthesis, ubiquinone and other terpenoid quinone biosynthesis increased (P<0.05) in the acupuncture group, the moxibustion group and the western medication group compared with those of the model group. CONCLUSIONS: Either acupuncture or moxibustion can relieve the symptoms of IBS-D and protect intestinal mucosa, which may be associated with regulating the structure of intestinal flora and promoting nutrient metabolism and biosynthesis.

Delayed Antarctic melt season reduces albedo feedback.

Antarctica's response to climate change varies greatly both spatially and temporally. Surface melting impacts mass balance and also lowers surface albedo. We use a 43-year record (from 1978 to 2020) of Antarctic snow melt seasons from space-borne microwave radiometers with a machine-learning algorithm to show that both the onset and the end of the melt season are being delayed. Granger-causality analysis shows that melt end is delayed due to increased heat flux from the ocean to the atmosphere at minimum sea-ice extent from warming oceans. Melt onset is Granger-caused primarily by the turbulent heat flux from ocean to atmosphere that is in turn driven by sea-ice variability. Delayed snowmelt season leads to a net decrease in the absorption of solar irradiance, as a delayed summer means that higher albedo occurs after the period of maximum solar radiation, which changes Antarctica's radiation balance more than sea-ice cover.

Can environmental protection and banking development be synergized?-an analysis based on the low-carbon city pilot in China.

The low-carbon city (LCC) pilot policy is significant in tackling carbon emission reduction and environmental protection. Several studies have demonstrated that LCC policy dramatically decreases air pollution in cities for environmental preservation, while there is a shortage of research on banking development. Using city-level data from 2005 to 2018 in China, we examine the impact of the LCC pilot policy on the growth of the banking sector by using a difference-in-difference (DID) model and analyze the underlying transmission mechanism. The empirical result demonstrates that the construction of LCC significantly impedes the growth of the regional banking sector, and the conclusions above hold up to a battery of tests. First, the LCC policy drastically reduces the scale of industries in the pilot cities, including secondary industry output, tertiary industry output, fixed asset investment, and fixed asset balance. Second, the LCC policy encourages industrial reorganization in the pilot cities, as demonstrated by a change in market demand from high carbon-emitting enterprises and non-state-owned enterprises to low carbon-emitting enterprises and state-owned enterprises, respectively. The results indicate that the LCC policy produces credit risk at enterprises and conveys it to banks, resulting in a retarding effect on banking development.

Genistein Protects against Spinal Cord Injury in Mice by Inhibiting Neuroinflammation via TLR4-Mediated Microglial Polarization.

Objective: The present study was designed to study the effect of genistein on spinal cord injury (SCI) in mice and to explore its underlying mechanisms. Methods: We established SCI mouse model, and genistein was administered for treatment. We used the Basso, Beattie, and Bresnahan (BBB) exercise rating scale to evaluate exercise recovery, and the detection of spinal cord edema was done using the wet/dry weight method. Apoptosis was determined by TUNEL staining, and inflammation was evaluated by measuring inflammatory factors by an ELISA kit. The expression of M1 and M2 macrophage markers was determined using flow cytometry, and the expression of proteins was detected using immunoblotting. Results: Genistein treatment not only improved the BBB score but also reduced spinal cord edema in SCI mice. Genistein treatment reduced apoptosis by increasing Bcl2 protein expression and decreasing Bax and caspase 3 protein expression. It also reduced the expression of inflammatory cytokines (TNF-α, IL-1ß, IL-6, and IL-8) in the SCI area of SCI mice. Flow cytometry analysis indicated that genistein treatment significantly decreased the ratio of M1 macrophages (CD45+/Gr-1-/CD11b+/iNOS+) and increased the ratio of M2 macrophages (CD45+/Gr-1-/CD11b+/Arginase 1+) in the SCI area of SCI mice on the 28th day after being treated with genistein. We also found that genistein treatment significantly decreased the expression of TLR4, MyD88, and TRAF6 protein in the SCI area of SCI mice on 28th day after being treated with genistein. Conclusion: Our findings suggested that genistein exerted neuroprotective action by inhibiting neuroinflammation by promoting the activation of M2 macrophages, and its underlying mechanisms might be related to the inhibition of the TLR4-mediated MyD88-dependent signaling pathway.

Ethylene Sensor-Enabled Dynamic Monitoring and Multi-Strategies Control for Quality Management of Fruit Cold Chain Logistics.

Due to the presence of bioactive compounds, fruits are an essential part of people's healthy diet. However, endogenous ethylene produced by climacteric fruits and exogenous ethylene in the microenvironment could play a pivotal role in the physiological and metabolic activities, leading to quality losses during storage or shelf life. Moreover, due to the variety of fruits and complex scenarios, different ethylene control strategies need to be adapted to improve the marketability of fruits and maintain their high quality. Therefore, this study proposed an ethylene dynamic monitoring based on multi-strategies control to reduce the post-harvest quality loss of fruits, which was evaluated here for blueberries, sweet cherries, and apples. The results showed that the ethylene dynamic monitoring had rapid static/dynamic response speed (2 ppm/s) and accurately monitoring of ethylene content (99% accuracy). In addition, the quality parameters evolution (firmness, soluble solids contents, weight loss rate, and chromatic aberration) showed that the ethylene multi-strategies control could effectively reduce the quality loss of fruits studied, which showed great potential in improving the quality management of fruits in the supply chain.

Disinfection technology of hospital wastes and wastewater: Suggestions for disinfection strategy during coronavirus Disease 2019 (COVID-19) pandemic in China.

Hospitals are important sources of pollutants resulted from diagnostic, laboratory and research activities as well as medicine excretion by patients, which include active component of drugs and metabolite, chemicals, residues of pharmaceuticals, radioactive markers, iodinated contrast media, etc. The discharge of hospital wastes and wastewater, especially those without appropriate treatment would expose the public in danger of infection. In particular, under the Coronavirus Disease 2019 (COVID-19) pandemic context in China, it is of great significance to reduce the health risks to the public and environment. In this study, technologies of different types of hospital wastes and wastewater disinfection have been summarized. Liquid chlorine, sodium hypochlorite, chlorine dioxide, ozone, and ultraviolet irradiation disinfection are commonly used for hospital wastewater disinfection. While incineration, chemical disinfection, and physical disinfection are commonly used for hospital wastes disinfection. In addition, considering the characteristics of various hospital wastes, the classification and selection of corresponding disinfection technologies are discussed. On this basis, this study provides scientific suggestions for management, technology selection, and operation of hospital wastes and wastewater disinfection in China, which is of great significance for development of national disinfection strategy for hospital wastes and wastewater during COVID-19 pandemic.

Understanding spatiotemporal patterns of global forest NPP using a data-driven method based on GEE.

Spatiotemporal patterns of global forest net primary productivity (NPP) are pivotal for us to understand the interaction between the climate and the terrestrial carbon cycle. In this study, we use Google Earth Engine (GEE), which is a powerful cloud platform, to study the dynamics of the global forest NPP with remote sensing and climate datasets. In contrast with traditional analyses that divide forest areas according to geographical location or climate types to retrieve general conclusions, we categorize forest regions based on their NPP levels. Nine categories of forests are obtained with the self-organizing map (SOM) method, and eight relative factors are considered in the analysis. We found that although forests can achieve higher NPP with taller, denser and more broad-leaved trees, the influence of the climate is stronger on the NPP; for the high-NPP categories, precipitation shows a weak or negative correlation with vegetation greenness, while lacking water may correspond to decrease in productivity for low-NPP categories. The low-NPP categories responded mainly to the La Niña event with an increase in the NPP, while the NPP of the high-NPP categories increased at the onset of the El Niño event and decreased soon afterwards when the warm phase of the El Niño-Southern Oscillation (ENSO) wore off. The influence of the ENSO changes correspondingly with different NPP levels, which infers that the pattern of climate oscillation and forest growth conditions have some degree of synchronization. These findings may facilitate the understanding of global forest NPP variation from a different perspective.

Success of Big Infectious Disease Reimbursement Policy in China.

Big infectious diseases do harm to the whole society, and it is highly crucial to control them on time. The major purpose of this article is to theoretically demonstrate that the Chinese government's intervention in large-scale infectious diseases is successful and efficient. Two potential strategies were considered: strategy 1 was infectious disease without government intervention, and strategy 2 was infectious disease with government intervention. By evolution model, this article illustrates the efficiency of big infectious disease reimbursement policy in China. Without government reimbursement, this article finds that high expenditures accelerate the disease infection. The number of infected persons decreases under big infectious disease reimbursement policy in China. The higher the treatment costs, the more important the government intervention. Big infectious disease reimbursement policy in China can serve as an efficient example to cope with big infectious diseases.

A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and Its Application for Estimating Underlying Topography and Forest Height.

Synthetic aperture radar tomography (TomoSAR) is an important way of obtaining underlying topography and forest height for long-wavelength datasets such as L-band and P-band radar. It is usual to apply nonparametric spectral estimation methods with a large number of snapshots over forest areas. The nonparametric iterative adaptive approach for amplitude and phase estimation (IAA-APES) can obtain a high resolution; however, it only tends to work well with a small number of snapshots. To overcome this problem, this paper proposes the nonparametric iterative adaptive approach based on maximum likelihood estimation (IAA-ML) for the application over forest areas. IAA-ML can be directly used in forest areas, without any prior information or preprocessing. Moreover, it can work well in the case of a large number of snapshots. In addition, it mainly focuses on the backscattered power around the phase centers, helping to detect their locations. The proposed IAA-ML estimator was tested in simulated experiments and the results confirmed that IAA-ML obtains a higher resolution than IAA-APES. Moreover, six P-band fully polarimetric airborne SAR images were applied to acquire the structural parameters of a forest area. It was found that the results of the HH polarization are suitable for analyzing the ground contribution and the results of the HV polarization are beneficial when studying the canopy contribution. Based on this, the underlying topography and forest height of a test site in Paracou, French Guiana, were estimated. With respect to the Light Detection and Ranging (LiDAR) measurements, the standard deviation of the estimations of the IAA-ML TomoSAR method was 2.11 m for the underlying topography and 2.80 m for the forest height. Furthermore, compared to IAA-APES, IAA-ML obtained a higher resolution and a higher estimation accuracy. In addition, the estimation accuracy of IAA-ML was also slightly higher than that of the SKP-beamforming technique in this case study.

[A method of hyperspectral quantificational identification of minerals based on infrared spectral artificial immune calculation].

Rapid identification of minerals based on near infrared (NIR) and shortwave infrared (SWIR) hyperspectra is vital to remote sensing mine exploration, remote sensing minerals mapping and field geological documentation of drill core, and have leaded to many identification methods including spectral angle mapping (SAM), spectral distance mapping (SDM), spectral feature fitting(SFF), linear spectral mixture model (LSMM), mathematical combination feature spectral linear inversion model(CFSLIM) etc. However, limitations of these methods affect their actual applications. The present paper firstly gives a unified minerals components spectral inversion (MCSI) model based on target sample spectrum and standard endmember spectral library evaluated by spectral similarity indexes. Then taking LSMM and SAM evaluation index for example, a specific formulation of unified MCSI model is presented in the form of a kind of combinatorial optimization. And then, an artificial immune colonial selection algorithm is used for solving minerals feature spectral linear inversion model optimization problem, which is named ICSFSLIM. Finally, an experiment was performed to use ICSFSLIM and CFSLIM to identify the contained minerals of 22 rock samples selected in Baogutu in Xinjiang China. The mean value of correctness and validness identification of ICSFSLIM are 34.22% and 54.08% respectively, which is better than that of CFSLIM 31.97% and 37.38%; the correctness and validness variance of ICSFSLIM are 0.11 and 0.13 smaller than that of CFSLIM, 0.15 and 0.25, indicating better identification stability.

Sequential heterotrophy-dilution-photoinduction cultivation for efficient microalgal biomass and lipid production.

A novel cultivation strategy called "sequential heterotrophy-dilution-photoinduction" was developed for efficient algal biomass and lipid production. Three Chlorella species were first cultivated heterotrophically to achieve high cell density, then the broth was diluted to suitable concentration (2-5 g/L) and transferred to light environment for photoinduction. With this strategy, the Chlorella intracellular protein and chlorophyll increased rapidly to 50.87% and 32.97 mg/g by a 12-h illumination, which were close to the level of cells cultivated photoautotrophically. Moreover, the lipid contents were increased by 84.57%, 70.65% and 121.59% within 24-h photoinduction for C. vulgaris, C. pyrenoidosa and C. ellipsoidea, respectively. Maximum lipid content as 26.11% of biomass and maximum lipid productivity of 89.89 mg/L/d was both accomplished by C. pyrenoidosa. Further outdoor experiments showed consistent patterns. Therefore, the proposed strategy provided an effective approach for microalgal biomass production to meet the urgent need for both health food and biodiesel.

[Study on effect of 3 types of drinking water emergent disinfection models in flood/waterlog areas].

OBJECTIVE: To establish 3 drinking water emergent disinfection processing models, separated medicate dispensing, specific duty medicate dispensing, and centralized filtering, in flood/waterlog areas, and compare the effects of these 3 models on the drinking water disinfection processing. METHODS: From October to December, 2008, 18 villages were selected as the trial field in Yanglinwei town, Xiantao city, Hubei province, which were divided into three groups, separated medicate dispensing, specific duty medicate dispensing, and centralized filtering. Every 2 weeks, drinking water source water, yielding water of emergency central filtrate water equipment (ECFWE) and container water in the kitchen were sampled and microbe indices of the water sample, standard plate-count bacteria, total coliforms, thermotolerant coliform bacteria, Escherichia coli were measured. RESULTS: The microbe pollution of the water of these 3 water source groups are heavy, all failed. The eliminating rate of the standard plate-count bacteria of the drinking water emergent centralized processing equipment is 99.95%; those of the separate medicate dispensing, specific duty medicate dispensing and centralized filtering are 81.93%, 99.67%, and 98.28%, respectively. The passing rates of the microbe indice of the resident contained water are 13.33%, 70.00%, and 43.33%, respectively. The difference has statistical significance. CONCLUSIONS: The drinking water disinfection effects of the centralized filtering model and of the specific duty medicate dispensing model are better than that of the separated medicate dispensing model in the flood/waterlog areas.