The application of laser­induced fluorescence in oil spill detection.

Over the past two decades, oil spills have been one of the most serious ecological disasters, causing massive damage to the aquatic and terrestrial ecosystems as well as the socio-economy. In view of this situation, several methods have been developed and utilized to analyze oil samples. Among these methods, laser-induced fluorescence (LIF) technology has been widely used in oil spill detection due to its classification method, which is based on the fluorescence characteristics of chemical material in oil. This review systematically summarized the LIF technology from the perspective of excitation wavelength selection and the application of traditional and novel machine learning algorithms to fluorescence spectrum processing, both of which are critical for qualitative and quantitative analysis of oil spills. It can be seen that an appropriate excitation wavelength is indispensable for spectral discrimination due to different kinds of polycyclic aromatic hydrocarbons' (PAHs) compounds in petroleum products. By summarizing some articles related to LIF technology, we discuss the influence of the excitation wavelength on the accuracy of the oil spill detection model and proposed several suggestions on the selection of excitation wavelength. In addition, we introduced some traditional and novel machine learning (ML) algorithms and discussed the strengths and weaknesses of these algorithms and their applicable scenarios. With an appropriate excitation wavelength and data processing algorithm, it is believed that laser-induced fluorescence technology will become an efficient technique for real-time detection and analysis of oil spills.

Malonic acid shapes bacterial community dynamics in compost to promote carbon sequestration and humic substance synthesis.

The incorporation of malonic acid (MA) into compost as a regulator of the tricarboxylic acid (TCA) cycle has the potential to increase carbon sequestration. However, the influence of MA on the transformation of the microbial community during the composting process remains unclear. In this investigation, MA was introduced at different stages of chicken manure (CM) composting to characterize the bacterial community within the compost using high-throughput sequencing. We assess the extent of increased carbon sequestration by comparing the concentration of total organic carbon (TOC). At the same time, this study examines whether increased carbon sequestration contributes to humus formation, which was elucidated by evaluating the content and composition of humus. Our results show that the addition of MA significantly improved carbon sequestration within the compost, reducing the carbon loss rate (C loss (%)) from 64.70% to 52.94%, while increasing HS content and stability. High throughput sequencing and Random Forest (RF) analysis show that the introduction of MA leads to a reduction in the diversity of the bacterial communities, but enhanced the ability of bacterial communities to synthesize humus. Furthermore, the addition of MA favors the proliferation of Firmicutes. Also, the hub of operational taxonomic units (OTUs) within the community co-occurrence network shifts from Proteobacteria to Firmicutes. Remarkably, our study finds a significant decrease in negative correlations between bacteria, potentially mitigating substrate consumption due to negative interactions such as competition. This phenomenon contributes to the improved retention of TOC in the compost. This research provides new insights into the mechanisms by which MA regulates bacterial communities in compost, and provides a valuable theoretical basis for the adoption of this innovative composting strategy.

Thymoquinone Alleviates Paclitaxel-Induced Peripheral Neuropathy through Regulation of the TLR4-MyD88 Inflammatory Pathway.

Paclitaxel-induced peripheral neuropathy (PIPN) is one of the common adverse effects during the paclitaxel (PTX) treatment of cancer. In this study, we investigated the neuroprotective effects and mechanisms of thymoquinone (TQ) in the PIPN model. Through pain behavioral assays and histological assessment, we demonstrated that TQ significantly alleviated the nociceptive behavior, modulated the pathological changes in peripheral nerves, and decreased the expression of inflammatory factors TNF-α, IL-1ß, and IL-6 induced by PIPN in mice. In addition, TQ significantly reversed the reduced viability and inflammatory response of primary DRG neurons caused by PTX. Moreover, the gene expression of related pathways was detected by Western blot, qPCR, and immunofluorescence, and the results showed that TQ exerts neuroprotective effects by regulating TLR4/MyD88 and its downstream NF-κB and MAPKs inflammatory pathways in vivo and in vitro. The treatment with TLR4 antagonist TAK-242 further indicated the important role of the TLR4/MyD88 signaling pathway in PIPN. Furthermore, molecular docking and a cellular thermal shift assay were used to confirm the interaction of TQ with TLR4. In summary, our study shows that TQ can inhibit inflammatory responses against PIPN by regulating TLR4 and MyD88 and its downstream inflammatory pathways.

Microstructure, Mechanical and Tribological Properties of High-Entropy Carbide (MoNbTaTiV)C5.

High-entropy carbide (NbTaTiV)C4 (HEC4), (MoNbTaTiV)C5 (HEC5), and (MoNbTaTiV)C5-SiC (HEC5S) multiphase ceramics were prepared by spark plasma sintering (SPS) at 1900 to 2100 °C, using metal carbide and silicon carbide (SiC) as raw materials. Their microstructure, and mechanical and tribological properties were investigated. The results showed that the (MoNbTaTiV)C5 synthesized at 1900-2100 °C had a face-centered cubic structure and density higher than 95.6%. The increase in sintering temperature was conducive to the promotion of densification, growth of grains, and diffusion of metal elements. The introduction of SiC helped to promote densification but weakened the strength of the grain boundaries. The average specific wear rates for HEC4 were within an order of magnitude of 10-5 mm3/N·m, and for HEC5 and HEC5S were within a range of 10-7 to 10-6 mm3/N·m. The wear mechanism of HEC4 was abrasion, while that of HEC5 and HEC5S was mainly oxidation wear.

Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends.

Wastewater treatment is a complex process that involves many uncertainties, leading to fluctuations in effluent quality and costs, and environmental risks. Artificial intelligence (AI) can handle complex nonlinear problems and has become a powerful tool for exploring and managing wastewater treatment systems. This study provides a summary of the current status and trends in AI research as applied to wastewater treatment, based on published papers and patents. Our results indicate that, at present, AI is primarily used to evaluate removal of pollutants (conventional, typical, and emerging contaminants), optimize models and process parameters, and control membrane fouling. Future research will likely continue to focus on removal of phosphorus, organic pollutants, and emerging contaminants. Moreover, analyzing microbial community dynamics and achieving multi-objective optimization are promising directions of research. The knowledge map shows that there may be future technological innovation related to predicting water quality under specific conditions, integrating AI with other information technologies and utilizing image-based AI and other algorithms in wastewater treatment. In addition, we briefly review development of artificial neural networks (ANNs) and explore the evolutionary path of AI in wastewater treatment. Our findings provide valuable insights into potential opportunities and challenges for researchers applying AI to wastewater treatment.

Effects of initial carbon-phosphorus ratio on phosphatase, and phosphorus availability in sludge composting.

Phosphorus in wastewater sludge is one of the important nutrients for biological growth and an important non-renewable resource. Most research in the composting field focuses on the C/N ratio, but there are few reports on initial carbon-phosphorus (C/P) ratio regulation. This study investigated the effects of different initial C/P ratios on phosphatase activity, key bacteria, and phosphorus availability in compost. In this study, the activity of phosphatase was measured, and key bacteria secreting phosphatase were identified. The results showed that adjusting the initial C/P ratio could prolong the cycle of action of key bacteria, thus affecting the activity of phosphatase and promoting the production of available phosphorus, but it was also inhibited by the feedback of available phosphorus. This study demonstrated the feasibility of adjusting the initial C/P ratio of sludge composting and provided theoretical support for optimizing the application of sludge composting products with different initial C/P ratios.

Stellate ganglion block suppresses hippocampal ferroptosis to attenuate cerebral ischemia-reperfusion injury via the Hippo pathway.

Ischemic stroke is a disabling and fatal disease caused by the insufficient blood supply to the brain. Stellate ganglion block (SGB) is a type of anesthesia commonly used to relieve pain. Here, we sought to identify the effects of SGB on cerebral ischemia-reperfusion (I/R) injury. The middle cerebral artery occlusion (MCAO) model was established in rats. The brain injury was assessed using the 2,3,5-triphenyl-tetrazolium-chloride (TTC) staining assay and neurological score. Ferroptosis was analyzed by detecting cell death, Fe2+ content, glutathione (GSH), malonic dialdehyde (MDA), superoxide dismutase (SOD), and ferroptosis-related factors. The mechanisms of SGB were assessed using the western blot. The results showed that I/R increased brain infarction and damaged neurological function. SGB decreased I/R-induced infarction and improved neurological function. Meantime, SGB inhibited ferroptosis of the hippocampus induced by I/R via the Hippo pathway. and the Yes1 associated transcriptional regulator (YAP) of this pathway was positively correlated with the ferroptosis-related solute carrier family 7 member 11 (SLC7A11). Inhibition of the Hippo pathway reversed the effects of SGB on brain injury and ferroptosis. In conclusion, SGB inhibited ferroptosis of hippocampal neurons via activating the Hippo pathway and thereby alleviated I/R injury. The data provide a novel insight into the treatment of ischemic stroke and even other ischemic encephalopathies.

Efficacy and mechanism of stellate ganglion block in patients undergoing carotid endarterectomy.

OBJECTIVES: Carotid endarterectomy (CEA) is an effective technique for carotid artery stenosis and has been widely used. Stellate ganglion block (SGB) has good effect on the treatment of both painful and non-painful diseases. To investigate the efficacy of SGB in terms of cerebral protection in patients undergoing CEA and to analyze its mechanism. METHODS: In this retrospective analysis, 120 patients who underwent CEA were enrolled and divided into study group (SG) (60 cases, general anesthesia and SGB) and control group (CG) (60 cases, general anesthesia). The differences in hemodynamic indexes, middle cerebral artery (MCA) hemodynamic indexes, and endocrine-related indexes between the two groups at the baseline, after induction of anesthesia (induction), and skin incision (incision) were compared. The differences in neurological function and pain level between two groups 1 day pre-operatively (pre-op 1), 1 day postoperatively (POD 1), 2 day postoperatively (POD 2), and 7 day postoperatively (POD 7) were also evaluated. Perioperative adverse events and intraoperative anesthetics dosage were compared between two groups. RESULTS: The systolic blood pressure, diastolic blood pressure, mean pulse pressure difference, and heart rate of SG at incision were lower than those of the CG (p < 0.05); Vs, Vd, and Vm of MCA were significantly higher in the SG than in CG at induction and incision (p < 0.05). Cortisol and aldosterone levels were lower and potassium and insulin levels were higher in the SG than in CG at induction and incision (p < 0.05); At pre-op 1, POD 1, POD 2, and POD 7, the VAS scores of patients in the SG were significantly lower than those in CG at POD 1, POD 2, and POD 7 (p < 0.05). The patients in SG showed decreased incidence of perioperative adverse events compared with the CG (p < 0.05); The consumption of anesthetics in the SG was lower than that in CG (p < 0.05). CONCLUSION: SGB in patients undergoing CEA treatment can improve perioperative cerebral blood supply and reduce the consumption of anesthetics and the incidence of perioperative adverse events, which is safe and feasible as a cerebral protection measure. Meanwhile, SGB may also help stabilize patients' perioperative hemodynamic indexes, but the result still needs to be supported by further large sample data.

Predicting the humification degree of multiple organic solid waste during composting using a designated bacterial community.

Microbes are the drivers for disposing of organic solid waste (OSW) during aerobic fermentation. Notwithstanding, the significance of microbes is underestimated in numerous studies on aerobic fermentation product assessments. Here, we investigated the humification degree (HD), and the humic acid content was assessed in terms of the bacterial community. The bacterial communities were useful indicators for making predictions and even correctly determined the categories of OSWs with 94% accuracy. The bacterial codes can also provide a better prediction of HD. Our results demonstrate that the bacteria code is a reliable biological method to assess HD effectively. Bacterial codes can be used as ecological and biological indicators to evaluate the quality of aerobic fermentation of different materials.

Digital finance and innovation inequality: evidence from green technological innovation in China.

Green technological innovation is an overarching approach to tackling environmental pollution, and mitigating the inequality in green technological innovation between regions can contribute to environmental equity. This study measures the inequality in green technological innovation via an index and examines the influence of digital finance on that inequality using data from 285 cities in China from 2011 to 2018. The results are as follows: (1) Digital financial development alleviates the inequality in green technological innovation, and the greater the inequality is, the stronger the effect of digital finance. The development of digital finance can help regions lagging behind in terms of green technology to catch up. (2) When the financial supervision and environmental restrictions within a region are strict, the development of digital finance is more effective at reducing the inequality in green technological innovation; a higher capacity for governance in the local government and a smaller digital divide strengthen the positive effects of digital finance. (3) The development of digital finance alleviates interregional inequality in green credit, reduces market segmentation, and increases spending on environmental protection, thus narrowing the gap in the capacity for green innovation between regions. These findings not only enrich the literature on digital finance and green technological innovation but also serve as a reference for governmental departments as they optimize their strategy for developing digital finance and coordinating green development across regions.

Resource utilization of mink manure: Functional microbial inoculation to elevate the bioavailability of organic nitrogen during composting.

Mink manure is one of the high nitrogenous wastes, which can easily cause nitrogen mineralization during composting, resulting in low resource reutilization. However, there are few studies on the resource utilization of mink manure. Therefore, this study investigated the effects of functional microbial (bacterial and actinomycetes agents) inoculation on nitrogen mineralization during mink manure composting. Results suggested that the inoculum, especially actinomycetes agents, could increase organic nitrogen and bioavailable organic nitrogen (BON) content. Principal component analysis and Random Forest model demonstrated that the inoculants increase the abundance of microorganisms that positively correlated with BON, decrease the microorganisms that negatively correlated with BON. Consequently, the inoculation of functional microbial agents could effectively reduce nitrogen mineralization and improve composting quality. Therefore, this study provided theoretical and technical support for optimizing mink manure composting, promoting the resource utilization of high nitrogen wastes.

Photodegradation, bacterial metabolism, and photosynthesis drive the dissolved organic matter cycle in the Heilongjiang River.

Dissolved organic matter (DOM) plays a vital role in the biogeochemistry of aquatic ecosystems. However, the mechanisms of DOM cycling in the water column during different seasons have not been fully elucidated to date. The differences in DOM degradation in summer, autumn, and winter water columns were evaluated in this study. The results showed that bacteria played an essential role in the degradation of DOM in the summer water column. Photochemical degradation was the primary degradation pathway of DOM in the autumn and winter water columns. Notably, while DOM is degraded, photosynthetic bacteria produce organic matter through photosynthesis to replenish the water column. EEM-PARAFAC analysis indicated more tryptophan component C1 in summer, but the contents of humic substance component C2 and terrestrial substance C3 were higher in autumn and winter. In summer, more tryptophan-like components were consumed by bacteria, and Cyanobacteria produced more organic matter through photosynthesis to replenish the water column. Moreover, a similar bacterial community structure and a more active tryptophan biosynthesis pathway were found in autumn and winter. Random forest models identified representative bacteria involved in the DOM transformation process in different seasons. The above findings may be helpful to explore the degradation characteristics of DOM in different seasons and predict the fate of DOM in the water column in the future.

Role of Bacillus inoculation in rice straw composting and bacterial community stability after inoculation: Unite resistance or individual collapse.

Bacillus is the classic inoculant in rice straw composting. However, there has been no in-depth study of the mechanism promoting the degradation of lignocellulose and the change of indigenous bacterial communities after Bacillus inoculation. Moreover, the stability of bacterial communities is a significant challenge in achieving the efficacy of inoculation. In this study, the ecological succession and yield-resource acquisition-stress tolerance (Y-A-S) framework were combined with Redundancy analysis (RDA) and changes in relative abundance, Bacillus was found to be a pioneer bacterium that adopts a resource acquisition-stress tolerance strategy. The structural equation model (SEM) revealed that in addition to exerting a degradation effect, Bacillus inoculation could also indirectly affect lignocellulose degradation by changing the bacterial community. Random forest model and network analysis indicated a change in bacterial communities after inoculation, and bacteria with more complex relationships and weaker decomposition ability were key to the stability of bacterial communities.

Adjuvant effects of bacterium-like particles in the intranasal vaccination of chickens against Newcastle disease.

Given that the respiratory mucosa is an important site for the initial replication of Newcastle disease virus (NDV), developing intranasal vaccines for chickens is an effective strategy to protect against this disease. The low immunogenicity of inactivated NDV administered by the mucosal route motivated us to identify a safe and potent adjuvant. Previous studies have shown that bacterium-like particles (BLPs), which serve as mucosal adjuvants, induce effective local and systemic immune responses through TLR2 signaling in both mammals and humans. Here, we report that BLPs could activate the innate immune system of chickens in a manner that was dependent on the combination of chicken TLR2 type 1 (chTLR2t1) and chicken TLR1 type 1 (chTLR1t1). The chicken macrophage-like HD11 cell line was stimulated with BLPs, resulting in the production of nitric oxide and the expression of the proinflammatory cytokines IFN-γ, IL-1ß and IL-6. Chickens intranasally immunized with inactivated NDV vaccines mixed with BLP adjuvants exhibited significantly increased levels of local SIgA in their tracheal lavage fluid and as well as hemagglutination-inhibiting antibodies in serum samples. The strong systemic and local immune responses induced by BLP-adjuvanted vaccines provided 100 % protection against intranasal challenge with a lethal dose of virulent NDV without showing any signs of disease. These results indicate that BLPs should be considered for use as a potential mucosal adjuvant for inactivated NDV vaccines and other vaccines for poultry.

Continuous insulation strategy of organic waste composting in cold region: Based on cold-adapted consortium.

Compost is a self-heating process for organic waste. Microbes are the main executors in composting process. However, due to low temperature in winter and low efficiency of composting, a lot of heat is lost in composting. In this study, taking-out and feed-batch composting method (TFC) can supplement nutrition and improve composting microenvironment. Compared with NC, the amount of carbohydrates, protein and fat decomposed by TFC increase by 56.8%, 237% and 122%, respectively, in the composting start-up period (0-100 h). Structure and function of microbial community have changed due to stimulation of cold-adapted consortium. In addition, this study shows that core bacteria stimulate cooperation among different bacteria in the organic components metabolism networks. Finally, based on the important role of cold-adapted consortium, the sustainable heating strategy of composting system is put forward, which converts organic wastes into released heat for daily heating and hot water preparation, leading role of cold-adapted consortium.

Detection and molecular epidemiology of canine parvovirus type 2 (CPV-2) circulating in Jilin Province, Northeast China.

Canine parvovirus (CPV) is highly contagious and can cause haemorrhagic enteritis and myocarditis in dogs. To understand the current epidemic situation of CPV in Jilin Province, China, a total of 44 fecal or intestinal tissue samples of pet dogs suspected of being infected with CPV from February 2018 to November 2019 in Changchun and Liaoyuan City, Jilin Province were collected.All of the 44 collected samples were tested positive to CPV-2 by a PCR assay. The sequencing and analyzing of complete VP2 genes showed that CPV-2c was the most prevalent variant (n = 31;70.4 %), followed by new-CPV-2a (n = 8;18.2 %), new-CPV-2b (n = 4; 9.1 %) and CPV-2 (n = 1; 2.3 %). Phylogenetic analysis revealed that the 31 CPV-2c strains in our study are closely related to local CPV-2c isolates in cluster I. The VP2 protein of the acquired CPV 2c strains all possessed the substitutions Ala5Gly, Phe267Tyr, Tyr324Ile, and Gln370Arg only one with a novel Arg481Lys mutation. These findings demonstrate that CPV-2c was the most prominent type of CPV circulating in Jilin in 2018-2019, clustered in a separate group that is far from the vaccine strains and suggest that further and extensive epidemiological investigation among pet dogs are warranted to provide information for usage and research of current vaccines.

Construction and evaluation of recombinant Lactobacillus plantarum NC8 delivering one single or two copies of G protein fused with a DC-targeting peptide (DCpep) as novel oral rabies vaccine.

Rabies remains an important public health threat in most developing countries. To develop a more effective and safe oral vaccine against rabies, we constructed recombinant Lactobacillus plantarum NC8 carrying one or two copies of the G gene with a dendritic cell-targeting peptide (DCpep) fused at the C-terminal designated NC8-pSIP409-sRVG or NC8-pSIP409-dRVG, respectively. The immunogenicity and protective efficacy of these recombinant Lactobacillus plantarum against RABV were evaluated by oral administration in a mouse model. The results showed that recombinant NC8-pSIP409-dRVG possessed more G protein, resulting in more functional maturation of DCs. After three cycle of oral immunization, NC8-pSIP409-dRVG induced significantly higher levels of specific IgG antibody and mixed Th1/Th2 with a strong Th1-biasd immune response in mice. Most importantly, although the titers of RABV neutralizing antibody (VNA) were below the threshold of 0.5 IU/mL, the NC8-pSIP409-dRVG could protect 60 % of inoculated mice against lethal RABV challenge. These data reveal that recombinant NC8-pSIP409-dRVG may be a novel and promising oral vaccine candidate to prevent and control of animal rabies.

Silencing of PTEN inhibits the oxidative stress damage and hippocampal cell apoptosis induced by Sevoflurane through activating MEK1/ERK signaling pathway in infant rats.

Phosphatase and tensin homolog (PTEN) is a suppressive player in tumor but its concrete role in oxidative stress (OS) damage and cell apoptosis remains much exploration. Thus, this study is conducted to explore the participation of PTEN and its mechanisms in OS damage and cell apoptosis in hippocampal cells.Infant rats were grouped into normal, Sevo, Sevo + si-negative control (NC), Sevo + si-PTEN and Sevo + si-PTEN + PD (MEK1/ERK signaling pathway inhibitor) groups. Infant hippocampal cells were grouped into blank, Sevo, Sevo + si-NC, Sevo + si-PTEN and Sevo + si-PTEN + PD groups. The expressions of PTEN and MEK1/ERK signaling pathway-related proteins were determined. OS-related indices in hippocampal tissues and cells were detected. Cell apoptosis was detected by flow cytometry.Sevoflurane up-regulated PTEN expression and silencing of PTEN activates MEK1/ERK signaling pathway in hippocampal tissues and cells of infant rats. Silencing of PTEN alleviated hippocampal tissue pathological status and inhibited sevoflurane-induced cell apoptosis in hippocampal tissues of infant rats. Silencing of PTEN alleviated OS damage in hippocampal tissues of infant rats. Silencing of PTEN inhibited sevoflurane-induced apoptosis after OS damage in hippocampal cells of infant rats. Silencing of PTEN reduced sevoflurane-induced OS damage in hippocampal cells of infant rats.Our study demonstrates that PTEN silencing inhibits the OS damage and cell apoptosis in hippocampal cells induced by Sevoflurane through activating MEK1/ERK signaling pathway in infant rats.

Automatic detection of epileptic seizure based on approximate entropy, recurrence quantification analysis and convolutional neural networks.

Epilepsy is the most common neurological disorder in humans. Electroencephalogram is a prevalent tool for diagnosing the epileptic seizure activity in clinical, which provides valuable information for understanding the physiological mechanisms behind epileptic disorders. Approximate entropy and recurrence quantification analysis are nonlinear analysis tools to quantify the complexity and recurrence behaviors of non-stationary signals, respectively. Convolutional neural networks are powerful class of models. In this paper, a new method for automatic epileptic electroencephalogram recordings based on the approximate entropy and recurrence quantification analysis combined with a convolutional neural network were proposed. The Bonn dataset was used to assess the proposed approach. The results indicated that the performance of the epileptic seizure detection by approximate entropy and recurrence quantification analysis is good (all of the sensitivities, specificities and accuracies are greater than 80%); especially the sensitivity, specificity and accuracy of the recurrence rate achieved 92.17%, 91.75% and 92.00%. When combines the approximate entropy and recurrence quantification analysis features with convolutional neural networks to automatically differentiate seizure electroencephalogram from normal recordings, the classification result can reach to 98.84%, 99.35% and 99.26%. Thus, this makes automatic detection of epileptic recordings become possible and it would be a valuable tool for the clinical diagnosis and treatment of epilepsy.