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Malachite is one of the most important copper-bearing oxide minerals; however, it shows poor floatability prior to sulfidization under the thiol collector system. This study investigated the reasons for the low recovery of malachite flotation without sulfidization. The results of adsorption capacity and contact angle test indicated that the malachite surface could adsorb a sufficient amount of the collector, obviously increasing the hydrophobicity of the malachite surface under static conditions. By measuring the amount of inorganic carbon in the flotation solution, it was found that the amount of inorganic carbon in the solution increased significantly when the thiol collectors were added into pulp, which could be attributed to the induced dissolution of the malachite surface by thiol collectors. Solubility tests further demonstrated that the copper ions released from the natural dissolution of malachite proved difficult in regard to reactions with thiol collector to form precipitates; however, the thiol collector induced the dissolution of malachite surface, and so the hydrophobic complexes' copper-collector could not firmly adsorb on the mineral surface. Fourier transform infrared (FTIR) analysis revealed that thiol collectors do not adsorb stably on malachite surfaces. This was considered to be a substantial reason for the poor performance of malachite flotation without sulfidization. [ABSTRACT FROM AUTHOR]

Forest microclimates can contrast substantially from the macroclimate outside forests. These microclimates regulate understory biodiversity and ecosystem functions. Studies have quantified the global patterns and driving factors of forest understory temperature offsets, but data from China were almost missing, making the global assessment incomplete. To fill this knowledge gap, we quantitatively synthesized 494 paired observations from China extracted from 91 publications to quantify mean (Tmean), maximum (Tmax) and minimum temperature offsets (Tmin). Results showed that (1) forest canopies significantly buffered understory Tmean and Tmax against macroclimatic temperature, with average offsets of 1.0 and 1.5°C, respectively, while understory Tmin offsets were not significantly different from zero; (2) forest type (broadleaved, mixed, vs. coniferous) and forest location (rural vs. urban) did not affect Tmean, Tmax or Tmin offsets, but climate zone and season showed significant impacts; and (3) macroclimatic temperature, wind speed, tree height and canopy density also impacted temperature offsets, although their effects varied among Tmean, Tmax and Tmin. Our results complement the global assessment of forest buffering capacity, and reiterate the necessity for incorporating microclimatic variability into future bioclimatic modelling of species demography and distributions. [ABSTRACT FROM AUTHOR]

Systematically understanding the theoretical implications of the planetary boundaries (PB) framework and expanding its application in the theoretical system of sustainable development is strategic for tracking the frontiers of international sustainable development research and extending the paths of China's sustainable development practice. Based on the implications and characteristics of the planetary boundaries framework, this study explores its value contribution in the field of sustainable development research from three aspects: thinking paradigm, evaluation methodology, and global governance. This framework deepens the understanding of the shift of the relationships between economy, society, and the environment from a growth model to an inclusive one through the quantifica-tion of the ' safe operating space' for human activities, exhibiting the characteristic of ' strong constraints.' The integration of quantifi-able boundaries with environmental sustainability assessment methods such as life cycle assessment, footprint family, and input-output analysis further develops the toolkits for sustainable development assessment. Moreover, the integration and application of the framework with the United Nations Sustainable Development Goals (SDGs) system enhances the global influence of this theory. The concept of ecological civilization is a new paradigm and manifestation based on the crystallization of local experience, containing solid theoretical and practical foundations. It is an important point of departure for the localization of the PB framework and practice to dialectically understand its logical relationship with the idea of ecological civilization from the concepts, such as only one earth and rational growth, and the differences in the logical action. Based on these, the study puts forward new thoughts to further promote the implementation of China's sustainable development strategy. With the help of the PB framework, we can explore the modernization direction of the harmo-nious coexistence of human beings and nature, improve the basic cognition of this coexistence, and deepen its beneficial collision with China's environmental governance capabilities and modernization of governance system. Multi-dimensional explorations, such as expanding the research scale of SDGs-PB, heterogeneity adjustments, and strengthening data support, are conducive to promoting the organic integration of the PB framework with China's SDGs. We can give full play to the function of this framework as a methodological tool to support the realization of China's 'dual carbon' goals, focusing on the boundary constraints in the economic system of green, low-carbon, and recycling development and the setting of thresholds in the tasks of achieving the ' dual carbon' goals. [ABSTRACT FROM AUTHOR]

Emotional eating has emerged as a significant disordered eating and public health concern among adolescents. Despite the widespread prevalence of social networking site (SNS) use among this population, research investigating the influence of SNS use on adolescent eating behaviors remains limited. This study is to examine the impact of SNS use on emotional eating among Chinese adolescents, with a specific focus on exploring the mediating role of negative social comparisons and the moderating effect of perspective-taking. Data were obtained through an online survey involving 778 middle school students in China. The findings indicate that SNS use exerts a positive influence on adolescents' engagement in emotional eating, with this association being mediated by the presence of negative social comparisons. Perspective-taking demonstrated a protective role in the context of adolescents' utilization of social media platforms. For individuals characterized by high levels of perspective-taking, the effects of SNS use on negative social comparisons are mitigated, subsequently reducing its impact on emotional eating. [ABSTRACT FROM AUTHOR]

Purpose: Nasopharyngeal carcinoma (NPC) is ranked the top otorhinolaryngology malignant tumors in the world. However, the general prognosis of recurrent and metastatic (R/M) nasopharyngeal carcinomas (NPCs) remains poor, and current surgery and chemoradiotherapy do not generate satisfactory outcomes. Methods: As a new therapeutic choice, immunotherapy, especially with regard to the development of checkpoint inhibitors including PD-1 and CTLA-4 inhibitors have made considerable progress in recent years. As Epstein-Barr virus (EBV) infection is associated with increased risk of NPC, EBV-related immunotherapy may lead to a breakthrough in advanced NPCs. Results: In this review, we summarized the clinical characters of NPC, and several past and ongoing clinical trials of checkpoint inhibitors and EBV-CTLs (CTLs: cytotoxic T lymphocytes) in R/M NPC immunotherapy. Conclusion: We conclude that although the evaluated effects of new immunotherapy drugs have brought us hope on NPC treatment, further phase II-III trials with larger samples are still required to improve the proportion and scheme of drug collocation for better clinical outcomes and less drug-related safety. [ABSTRACT FROM AUTHOR]

To comprehensively analyze the current research status, hot trends, and influencing factors of tourism carbon footprint, this paper conducts a bibliometric analysis. We find that (1) tourism carbon footprint is the topic with the highest attention in the field of tourism footprint research; (2) economic effects, tourism carbon footprint accounting methods, and the consciousness drive of each subject in the tourism industry are still important research directions; (3) tourism activity items such as accommodation and transportation are the main influencing factors while the behavioral preferences and characteristics of tourists, government and tourism operators become important directions for future empirical research. [ABSTRACT FROM AUTHOR]

Acute kidney injury (AKI) is a common complication and associated with a poor clinical outcome. In this study, we developed and validated a model for predicting the risk of AKI through machine learning methods in critical care patients with acute cerebrovascular disease. This study was a retrospective study based on two different cohorts. Five machine learning methods were used to develop AKI risk prediction models. We used six popular metrics (AUROC, F2-Score, accuracy, sensitivity, specificity and precision) to evaluate the performance of these models. We identified 2935 patients in the MIMIC-III database and 499 patients in our local database to develop and validate the AKI risk prediction model. The incidence of AKI in these two different cohorts was 18.3% and 61.7%, respectively. Analysis showed that several laboratory parameters (serum creatinine, hemoglobin, white blood cell count, bicarbonate, blood urea nitrogen, sodium, albumin, and platelet count), age, and length of hospital stay, were the top ten important factors associated with AKI. The analysis demonstrated that the XGBoost had higher AUROC (0.880, 95%CI: 0.831–0.929), indicating that the XGBoost model was better at predicting AKI risk in patients with acute cerebrovascular disease than other models. This study developed machine learning methods to identify critically ill patients with acute cerebrovascular disease who are at a high risk of developing AKI. This result suggested that machine learning techniques had the potential to improve the prediction of AKI risk models in critical care. [ABSTRACT FROM AUTHOR]

• A model comprising C/N/S-related bioprocesses was developed and evaluated. • Impact of H 2 S on MBfR/granular bioreactor performing anammox/n-DAMO was assessed. • H 2 S content in inflow gas (v/v: 0∼5%) did not significantly affect MBfR. • Influent H 2 S of granular bioreactor lowered TN removal or increased energy demand. The coupling between anammox and nitrate/nitrite-dependent anaerobic methane oxidation (n-DAMO) has been considered a sustainable technology for nitrogen removal from sidestream wastewater and can be implemented in both membrane biofilm reactor (MBfR) and granular bioreactor. However, the potential influence of the accompanying hydrogen sulfide (H 2 S) in the anaerobic digestion (AD)-related methane-containing mixture on anammox/n-DAMO remains unknown. To fill this gap, this work first constructed a model incorporating the C/N/S-related bioprocesses and evaluated/calibrated/validated the model using experimental data. The model was then used to explore the impact of H 2 S on the MBfR and granular bioreactor designed to perform anammox/n-DAMO at practical levels (i.e., 0∼5% (v/v) and 0∼40 g/S m3, respectively). The simulation results indicated that H 2 S in inflow gas did not significantly affect the total nitrogen (TN) removal of the MBfR under all operational conditions studied in this work, thus lifting the concern about applying AD-produced biogas to power up anammox/n-DAMO in the MBfR. However, the presence of H 2 S in the influent would either compromise the treatment performance of the granular bioreactor at a relatively high influent NH 4 +-N/NO 2 −-N ratio (e.g., >1.0) or lead to increased energy demand associated with TN removal at a relatively low influent NH 4 +-N/NO 2 −-N ratio (e.g., <0.7). Such a negative effect of the influent H 2 S could not be attenuated by regulating the hydraulic residence time and should therefore be avoided when applying the granular bioreactor to perform anammox/n-DAMO in practice. [Display omitted] [ABSTRACT FROM AUTHOR]

Steel structures often experience significant durability degradation over time due to extreme environments. To better understand the impact of chloride environments on the mechanical properties of steel compression members, accelerated corrosion tests were conducted on H-shaped steel short columns with applied current. Monotonic tensile tests were also performed on steel specimens, and axial compression tests were carried out on H-shaped steel short columns with varying degrees of corrosion. The results revealed that the corrosion rate increased with higher current intensity and longer electrification duration while changing with different chloride ion concentrations. As the corrosion rate increased, the steel material exhibited a linear decrease in yield strength, ultimate strength, and elastic modulus. Consequently, the mechanical properties of the H-shaped steel columns, such as stiffness, ductility coefficient, and load-bearing capacity, were adversely affected. Based on these findings, a predictive formula was proposed to estimate the ultimate load-bearing capacity of H-shaped steel columns with different degrees of corrosion in chloride salt environments. The experimental results were further validated through numerical simulations, and parameter analysis indicated a negative correlation between flange width-to-thickness ratio, web height-to-thickness ratio, and ultimate load-bearing capacity of H-shaped steel columns. Finally, a random corrosion pit generation algorithm is proposed, effectively simulating the actual corrosion pit distribution and calculating the ultimate bearing capacity of columns. • The deterioration model for mechanical properties with corrosion ratio and various parameters in accelerated corrosion tests, demonstrating a linear relationship. • Secondary development of Abaqus software using Python language to randomly generate corrosion pits on the surface of the model, making the numerical simulation results more accurate. • A random corrosion pit generation algorithm is proposed to simulate the actual corrosion pit distribution and obtain the ultimate bearing capacity. [ABSTRACT FROM AUTHOR]

• Investigated the impact of industrial robot adoption on GTFP in Chinese cities. • Employed the NDDF-GLPI and Bartik IV approach to estimate GTFP and the penetration of industrial robots. • Utilized a combination of two-way fixed effects models, mechanism analysis models, and quantile regression models for causal identification. • Industrial robot adoption enhances GTFP through energy saving, technological innovation, scale output, and industrial linkage. • The positive effect of industrial robots on GTFP is mitigated in areas with high pollution, while it is reinforced in regions with the development of green finance. This study investigates the impact of industrial robot adoption on Green Total Factor Productivity (GTFP) against the backdrop of increasing demand for both robot proliferation and green development utilizing urban panel data from Chinese cities spanning 2007–2019. Findings reveal that industrial robot adoption significantly improves GTFP, exerting its influence through mechanisms such as energy saving, technological innovation, scale output, and industrial linkages. Certain market factors moderate the influence of industrial robot on GTFP. Initially, regions reliant on high-pollution industries and resource-based cities experience minimal effects, which may diminish or even reverse as GTFP improves. Additionally, the positive influence of industrial robots on GTFP is particularly noticeable in regions with advanced development in green finance. This research is significant for understanding the connection between industrial robot adoption and green development at the urban level and for exploring pathways for green transformation. [ABSTRACT FROM AUTHOR]

Being a problem that has long plagued the field of electrochemical machining process, real-time and high precision monitoring of the interelectrode gap is a difficult task. In this research, we introduce a method for monitoring the interelectrode gap using a tool electrode equipped with an optical fiber sensor. This method does not require large numbers of parameters such as conductivity of the electrolyte, electric current density distribution, shape of the electrodes, etc. and therefore reduces the complexity of the monitoring system. The optical fiber, moving together with the tool, forms an open Fabry-Pérot interferometer consists of a reflection surface of the fiber end and a reflection surface of the workpiece. Additionally, we introduce a spectrum analysis method specifically designed for the Fabry-Pérot interferometer spectrum. This method provides the absolute distance between the optical fiber and the target, demonstrating robustness to noise and abrupt spectrum changes. Consequently, it can be utilized in harsh environments for high-precision distance monitoring, a task challenging for traditional methods using optical interferometers. With the proposed method, a difference of ±2.5 μm was achieved compared with demodulating the spectrum manually. The average process time of a spectrum with 16,001 sampling points and a distance resolution of 1 nm is 0.148 s. Real-time monitoring and control of an electrochemical machining process was also implemented. The interelectrode gap was successfully maintained at 200 ± 5 μm throughout the machining process and the final machining depth measured by the proposed method and an optical measurement system has a difference of 6 μm. [ABSTRACT FROM AUTHOR]

Rare earth elements (REEs) are exploited for global use in manufacturing. Such activities result in their release into the environment and the transformation into more stable phosphate deposition. The objective of this study was to evaluate molecular and behavioral changes of zebrafish exposed to the synthesized terbium phosphate (TbPO 4) at concentrations of 10, 20, and 50 mg/L and to determine its potential for neurotoxicity. Metabolomics related to neurotransmitters, and assessment of transcripts and proteins were conducted to uncover the molecular mechanisms underlying TbPO 4 with emphasis on neurotransmitter systems. Exposure to 20 mg/L TbPO 4 induced larval hyperactivity and perturbed the cholinergic system in zebrafish. Based on metabolomics related to neurotransmitters, dopamine (DA), serotonin (5-HT), and many of their precursors and metabolites were decreased in abundance by TbPO 4. In addition, the expression levels of transcripts related to the synthesis, transport, receptor binding, and metabolism of DA and 5-HT were analyzed at the mRNA and protein levels. Transcript and protein levels for tyrosine hydroxylase (TH), the rate-limiting enzyme for DA synthesis, were down-regulated in larval fish. Monoamine oxidase (MAO), an enzyme that catabolizes monoamines DA and 5-HT, was also reduced in mRNA abundance. We hypothesize that DA synthesis and monoamine metabolism are associated with behavioral alterations. This study elucidates putative mechanisms and exposure risks to wildlife and humans by characterizing phosphatic REE-induced neurotoxicity in developing zebrafish. [Display omitted] • TbPO 4 (20 mg/L) was able to induce several sub-lethal effects in zebrafish larvae. • Induced hyperactivity and altered cholinergic system were observed in zebrafish. • Metabolomics suggested that both dopamine and serotonin were significantly reduced. • Tyrosine hydroxylase was down-regulated at both transcription and protein levels. • Mechanism for the disruption on neurotransmitter systems by TbPO 4 was proposed. [ABSTRACT FROM AUTHOR]

Tall buildings can affect the seismic safety of shorter buildings in their vicinities. Majority of the studies have investigated such influences by analyzing the structure-soil-structure interactions in the local vicinity. Considering the large mass and long fundamental period of tall buildings, perturbations during earthquakes can affect a very broad area. Therefore, it is important to investigate the influence of tall buildings from a city-scale perspective. Using the Shanghai Central Business District (CBD) area as an example, this study quantified the influence of tall buildings on the seismic responses of sites and buildings using a nonlinear time history analysis. Different earthquake intensities and building configurations were analyzed, and the effects of tall buildings on the ground motion energies, building responses, and damage states were investigated. These findings indicate the need to consider the seismic safety of shorter buildings surrounded by taller ones. • Site-city interactions considering both building and site nonlinearity are analyzed. • Influence by existence of one tall building is analyzed on a city scale. • Ground velocity can increase by 30% at regions surrounded by tall buildings. • Existence of a tall building may increase responses of an 800-m-away building by 10%. [ABSTRACT FROM AUTHOR]

• ZnONPs induced metabolic and bioenergetic responses in female and male zebrafish. • The metabolic responses to the energetic stress in zebrafish livers were sex-specific. • Females compensated for the stress via increasing fatty acids metabolism. • Males compensated to ZnONPs exposure by adjusting amino acids metabolism in livers. Zinc oxide nanoparticles (ZnONPs) are widespread pollutants that are present in diverse environmental samples. Here, we determined metabolomic and bioenergetic responses in the liver of female and male zebrafish exposed to a prolonged environmentally relevant concentration of ZnONPs. Metabolome analysis revealed that exposure to 500 μg/L ZnONPs reduced the abundance of metabolites in the tricarboxylic acid (TCA) cycle by modulating the activities of rate-limiting enzymes α-ketoglutarate dehydrogenase and isocitrate dehydrogenase. Moreover, oxidative phosphorylation (OXPHOS) was negatively impacted in the liver based upon decreased activities of mitochondrial Complex I and V in both female and male livers. Our results revealed that bioenergetic responses were not attributed to dissolved Zn2+ and were not sex-specific. However, the metabolic responses in liver following exposure to ZnONPs did show sex-specific responses. Females exposed to ZnONPs compensated for the energetic stress via increasing fatty acids and amino acids metabolism, while males compensated to ZnONPs exposure by adjusting amino acids metabolism, based upon transcript profiles. This study demonstrates that zebrafish adjust the transcription of metabolic enzymes in the liver to compensate for metabolic disruption following ZnONPs exposure. Taken together, this study contributes to a comprehensive understanding of risks related to ZnONPs exposure in relation to metabolic activity in the liver. Environmental implication Zinc oxide nanoparticles (ZnONPs) are widely used in industry and are subsequently released into environments. However, biological responses between female and male following ZnONPs exposure has never been compared. Our data revealed for the first time that female and male zebrafish showed comparable bioenergetic responses, but different metabolic responses to ZnONPs at an environmentally relevant dose. Females compensated for the energetic stress via increasing fatty acids and amino acids metabolism, while males compensated to ZnONPs exposure by adjusting amino acids metabolism in livers. This study reveals that sex may be an important variable to consider in risk assessments of nanoparticles released into environments. [Display omitted] [ABSTRACT FROM AUTHOR]

[Display omitted] • Laser-induced fluorescence spectra in Olive oil classifications. • Olive oil classification using 1-dimensional convolutional neural networks. • A dual-convolutional structure within one convolution-pooling process. • Classification comparison of deep learning method and support vector machine. Laser-induced fluorescence (LIF) spectroscopy is widely used for the analysis and classification of olive oil. This paper proposes the classification of LIF data using a specific 1-dimensional convolutional neural network (1D-CNN) model, which does not require pre-processing steps such as normalisation or denoising and can be flexibly applied to massive data. However, by adding a dual convolution structure (Dual-conv) to the model, the features of the 1-dimensional spectra are more scattered within one convolution-pooling process; thus, the classification effects are improved. The models were validated through an olive oil classification experiment which contained a total of 72,000 sets of LIF spectra data, and the classification accuracy rate reached ∼99.69%. Additionally, a common classification approach, the support vector machine (SVM), was utilised for the comparison of the results. The results show that the neural networks perform better than the SVM. The Dual-conv model structure has a faster convergence speed and higher evaluation parameters than those of the 1D-CNN in the same period of iterations, without increasing the data dimension. [ABSTRACT FROM AUTHOR]

The laying performance of geese is mainly determined by follicular development and atresia, while follicular status is regulated by photoperiod. To understand the effect of photoperiod on the development of goose follicles, artificial light was used to change the photoperiod. In this study, ten healthy 220-day-old Zhedong white geese (Anser Cygnoides) with similar body weights and similar reproductive start times were reared for 60 days under long photoperiod (15 L:9 D) and short photoperiod (9 L:15 D) artificial light with the intensity controlled at 30 lux, and follicles were collected. Follicle development was analyzed by observing the morphology of follicle tissue, the localization of autophagosomes and autolysosomes, and the expression levels of apoptosis-related protein factors. Small white follicles (SWFs) were selected for RNA sequencing and bioinformatics analysis of the transcriptome. Under a long photoperiod, microtubule-associated protein 1 light chain 3 (LC3) and Caspase-3 were expressed in the granulosa cell layer and oocytes, respectively. LC3 and Caspase-3 protein expression was increased in SWF and large white follicles (LWFs), and there were more autophagosomes and autolysosomes in granulosa cells. RNA-seq found 93 differentially expressed genes (DEGs) in the short-photoperiod group, including 55 upregulated DEGs and 38 downregulated DEGs, distributed in 37 gene ontology categories. Kyoto Encyclopedia of Genes and Genomes-enriched signaling pathways revealed 5 pathways enriched in upregulated DEGs, including protein digestion and absorption, ECM-receptor interaction and regulation of lipolysis in adipocytes, and 4 pathways enriched in downregulated DEGs, such as fatty acid biosynthesis. Ten differentially expressed genes related to extracellular matrix and fatty acid metabolism (THBS2, COL12A1, MRC2, TUBA, COL1A1, COL11A1, HSPG2, FABP, MGLL , and OLAH) may be involved in the photoperiod regulation of follicle development in Zhedong white geese. The differentially expressed genes screened in this study will provide new ideas to further understand the molecular mechanism underlying photoperiod-mediated regulation of follicle development in Zhedong white geese. [ABSTRACT FROM AUTHOR]

[Display omitted] • Dual-wavelength-excitation fluorescence spectra detection of aerosol stream. • Fluorescence signals from two bands received by bifurcated fiber bundle. • Self-developed combined spectrometer with time-sharing detection. • A 32-channel PMT as the detector, resolution of 6 nm/channel for both bands. • Detection of two band fluorescence spectra of six kinds of samples. We developed a dual-wavelength-excitation aerosol fluorescence spectra detection device prototype. In our system, the 263 nm and 355 nm lasers are used to sequentially excite the fluorescence of aerosol stream, which is located spatially and temporally by two crossed infrared lasers; a bifurcated fiber bundle is applied to receive the fluorescence spectra of 274–463 nm and 374–565 nm. Besides, with a 32-channel photomultiplier tube as detector, a self-developed combined spectrometer with Czerny-Turner design is employed to detect the two band spectra in a preset timing sequence. Experiments show that the system can detect the fluorescence spectra, after dual-wavelength-excitation, of three intrinsic fluorophore samples and three bioaerosol samples. [ABSTRACT FROM AUTHOR]

Laryngeal disease classification is a relatively hard task in medical image processing resulting from its complex structures and varying viewpoints in data collection. Some existing methods try to tackle this task via the convolutional neural network, but they more or less ignore the intrinsic difficulty differences among different input samples and suffer from high training complexity. In order to better resolve these problems, an end-to-end Hierarchical Dynamic Convolutional Network (HDCNet) is proposed, which can dynamically process the input samples based on their difficulty. For the easy-classified samples, the HDCNet processes them with a smaller resolution and a relatively small network, while the difficult samples are passed to a large network with a larger resolution for more accurate classification results. Furthermore, a Feature Reuse Module (FRM) is designed to transfer the features learned by the small network to the corresponding block in the deep network to enhance the overall performance of some rather complicated samples. To validate the effectiveness of the proposed HDCNet, comprehensive experiments are conducted on the public available laryngeal disease classification dataset and HDCNet provides superior performances compared with other current state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Defensin-like proteins are conserved in multicellular organisms and contribute to innate immune responses against fungal pathogens. In rice, defensins play a novel role in regulating cadmium (Cd) efflux from the cytosol. However, whether the antifungal activity of defensins correlates with Cd-efflux function remains unknown. In this study, we isolated an endophytic Fusarium , designed Fo 10, by a comparative microbiome analysis of rice plants grown in a paddy contaminated with Cd. Fo 10 is tolerant to high levels of Cd, but is sensitive to the defensin-like protein OsCAL1, which mediates Cd efflux to the apoplast. We found that Fo 10 symbiosis in rice is regulated by OsCAL1 dynamics, and Fo 10 coordinates multiple plant processes, including Cd uptake, vacuolar sequestration, efflux to the environment, and formation of Fe plaques in the rhizosphere. These processes are dependent on the salicylic acid signaling pathway to keep Cd levels low in the cytosol of rice cells and to decrease Cd levels in rice grains without any yield penalty. Fo 10 also plays a role in Cd tolerance in the poaceous crop maize and wheat, but has no observed effects in the eudicot plants Arabidopsis and tomato. Taken together, these findings provide insights into the mechanistic basis underlying how a fungal endophyte and host plant interact to control Cd accumulation in host plants by adapting defense responses to promote the establishment of a symbiosis that permits adaptation to high-Cd environments. This study identifies an endophytic Fusarium Fo 10 that interacts reciprocally with the defensin-like protein OsCAL1 to reduce cytosolic Cd levels in rice. Fo10 modulates iron plaque formation, vacuolar Cd sequestration, and rhizosphere Cd efflux likely by activating SA signaling pathway. [ABSTRACT FROM AUTHOR]

Glioblastoma is the most common and aggressive form of primary brain cancer and the lack of viable treatment options has created an urgency to develop novel treatments. Personalized or predictive medicine is still in its infancy stage at present. This research aimed to discover biomarkers to inform disease progression and to develop personalized prophylactic and therapeutic strategies by combining state-of-the-art technologies such as single-cell RNA sequencing, systems pharmacology, and a polypharmacological approach. As predicted in the pyroptosis-related gene (PRG) transcription factor (TF) microRNA (miRNA) regulatory network, TP53 was the hub gene in the pyroptosis process in glioblastoma (GBM). A LASSO Cox regression model of pyroptosis-related genes was built to accurately and conveniently predict the one-, two-, and three-year overall survival rates of GBM patients. The top-scoring five natural compounds were parthenolide, rutin, baeomycesic acid, luteolin, and kaempferol, which have NFKB inhibition, antioxidant, lipoxygenase inhibition, glucosidase inhibition, and estrogen receptor agonism properties, respectively. In contrast, the analysis of the cell-type-specific differential expression-related targets of natural compounds showed that the top five subtype cells targeted by natural compounds were endothelial cells, microglia/macrophages, oligodendrocytes, dendritic cells, and neutrophil cells. The current approach—using the pharmacogenomic analysis of combined therapies—serves as a model for novel personalized therapeutic strategies for GBM treatment. [ABSTRACT FROM AUTHOR]

Non-small-cell lung cancer (NSCLC) remains the most common malignant cancer. We identified 43140 advanced NSCLC patients from the SEER database to develop and validate a new prognostic model. The prognostic performance was evaluated by P value, concordance index, net reclassification index, integrated discrimination improvement, and decision curve analysis. The following variables were contained in the final prognostic model: age, sex, race, TNM stage, and grade and treatment options. Compared to the AJCC staging system, this prognostic model is conducive to the implementation of individualized clinical treatment schemes and can be an important part of the precise medical care of NSCLC tumors. [ABSTRACT FROM AUTHOR]

Urban shrinkage has gradually become an issue of world-concerning social matter. As urbanization progresses, some Chinese cities are experiencing population loss and economic decline. Our study attempts to correct and integrate DMSP/OLS and NPP/VIIRS data to complete the identification and measurement of shrinking cities in China's Yangtze River Economic Belt (YREB). We identified 36 shrinking cities and 644 shrinking counties on the municipal and county scales. Based on this approach, we established the average urban shrinkage intensity index and the urban shrinkage frequency index, attempting to find out the causes of shrinking cities for different shrinkage characteristics, city types and shrinkage frequencies. The results show that (1) the shrinking cities are mainly concentrated in the Yangtze River Delta city cluster, the midstream city cluster and the Chengdu–Chongqing economic circle. (2) Most shrinking cities have a moderate frequency of shrinking, dominated by low–low clusters. Resource-based, heavy industrial, small and medium-sized cities are more inclined to shrink. (3) The single economic structure, the difficulty of industrial transformation and the lack of linkage among county-level cities are possible reasons for the urban shrinkage in the YREB. Exploring the causes of urban shrinkage from a more micro perspective will be an inevitable task for sustainable development in YREB and even in China. [ABSTRACT FROM AUTHOR]

Oleum Cinnamomi is a traditional medicine used by the Hmong, the essential oil obtained from Fructus Cinnamomi, for the treatment of coronary heart disease. Information regarding the efficient quality control markers of it is lacking, which has become a bottleneck restricting its development and utilization. Here, an integrated qualitative analysis approach based on a GC-MS and network pharmacology strategy was applied to explore quality control markers for the assessment of Oleum Cinnamomi. Firstly, the compounds of Oleum Cinnamomi were detected by GC-MS. In total, 57 chemical components were identified, mainly monoterpenes and sesquiterpenes, accounting for 83.05% of total essential oil components. Secondly, network pharmacology was adopted to explore the compounds linked to target genes of coronary heart disease. Fifty-two compounds were found, indicating the effectiveness of Oleum Cinnamomi in the treatment of coronary heart disease. Among them, 10 compounds, including eucalyptol, were chosen as potential effective compounds in Oleum Cinnamomi. Thirdly, an established GC-MS SIM method was validated and applied for the simultaneous determination of the contents of these 10 compounds using 20 sample batches of Oleum Cinnamomi. It was preliminarily found that the contents of these 10 compounds differed in Oleum Cinnamomi from different origins. Finally, quantitative analyte data were analyzed using multivariate statistical analysis to determine Oleum Cinnamomi quality. Four compounds (eucalyptol, p-cymene, sabinene, β-pinene) were identified as chemical markers for quality control. Accordingly, this study provides new strategies to explore the quality control markers and develops a novel method for the quality assessment of Oleum Cinnamomi. [ABSTRACT FROM AUTHOR]

What Is Known and Objective: There are few reports on the distribution of the plasma trough concentration (Cmin) of teicoplanin in patients with augmented renal clearance (ARC) and on the safety of a high‐dose regimen (HD; 800 mg loading dose for q12h three times followed by an 800 mg qd maintenance dose). The objective of this study was to determine the Cmin values of teicoplanin in ARC patients using HD teicoplanin to provide a reference for individualized medication. Methods: Data on patients treated with teicoplanin from January 2019 to January 2021 were collected retrospectively and divided into ARC (creatinine clearance rate [CCr] >130 ml/min, n = 22) and non‐ARC (60 ml/min ≤ CCr ≤130 ml/min, n = 24) groups. The Cmin values in the two patient groups were analysed during the HD and the low‐dose regimen (LD; all other regimens) on the third day of medication and during the dose maintenance period. Liver and kidney function indexes were also analysed before and after medication. Results and Discussions: On the third day of the HD, Cmin did not differ significantly between the ARC and non‐ARC groups (17.3 ± 9.2 mg/L [mean ± SD] vs. 15.5 ± 7.9 mg/L, p = 0.663), while Cmin in the ARC group was significantly lower for the LD (6.8 ± 3.9 mg/L, p = 0.039). During the dose maintenance period, Cmin in the ARC group when receiving the HD (18.3 ± 5.1 mg/L) was significantly lower than that in the non‐ARC group (25.5 ± 11.9 mg/L, p = 0.016) and significantly higher than that for the LD (12.2 ± 6.3 mg/L, p = 0.022). Nephrotoxicity and hepatotoxicity incidence rates did not differ significantly between these groups. What Is New and Conclusion: These results suggest that it is necessary to apply a loading dose of 800 mg (but not higher) q12h three times for patients with ARC, with 800 mg needed as a maintenance dose during severe infection, and 600 mg or 400 mg for mild infection. [ABSTRACT FROM AUTHOR]

Superhydrophobic materials are investigated extensively because of their excellent surface properties, such as self-cleaning, oil-water separation, corrosion resistance, anti-icing, and anti-fogging. Recently, there has also been a lot of interest in hydrophobic or superhydrophobic modifications of cement-based materials. It provides an innovative way to improve the resistance of cement-based materials to external environmental erosion during service. This paper reviews the progress of hydrophobic or superhydrophobic modification of cement-based materials. This work analyses the mechanisms of hydrophobic modification of material surfaces and discusses three hydrophobic modification methods for cement-based materials: templating, external coating, and internal mixing. We also point out the problems of hydrophobic coatings on cement-based materials in mechanical stability and acid-alkali resistance. Further, the comprehensive performance of cement-based materials after hydrophobic modification in terms of hydration and hardening process, waterproofing and impermeability, resistance to aggressive media, and freeze-thaw damage are summarized. And the applications such as self-cleaning, anti-icing of pavements, corrosion protection of coastal structures, and waterproofing of buildings are also listed. Finally, we briefly discuss some problems in the current research and development trends in the future on hydrophobic modification of cement-based materials. • Hydrophobic modification methods & mechanism of cement-based materials are discussed. • Mechanical stability and acid-alkali resistance of hydrophobic coatings are analyzed. • Performance of cement-based materials after hydrophobic modification are reviewed. • Applications of hydrophobic modification for cement-based materials are summarized. • Some problems and research directions on hydrophobic modification are pointed out. [ABSTRACT FROM AUTHOR]

Although single-walled carbon nanotubes (SWCNTs) had potential application in self-powered systems for wearable thermoelectric devices due to their light weight, flexibility, and high conductivity, how to improve their thermoelectric properties was still a great challenge. In this study, to improve the thermoelectric properties, aniline tetramer (ANIT) has been assembled on the surface of SWCNTs via π-π interaction to form ANIT/SWCNT films. The thermoelectric properties had been optimized via tuning the microstructure of ANIT/SWCNT. When the SWCNTs were coated by ANIT layer with several nanometer thicknesses, the carrier concentration and carrier mobility was optimized and matched to high thermoelectric properties. Compared to pure SWCNTs, the Seebeck coefficient of ANIT/SWCNT was increased greatly, and the electrical conductivity hardly changed. A maximum power factor of 98.7 μW·m−1·K−2 at 298 K was obtained for the ANIT/SWCNT (10:100), showing a 68% increase compared to pure SWCNTs. Therefore, the doping of ANIT into SWCNT provided a new method for improving the thermoelectric properties of SWCNTs based materials. [ABSTRACT FROM AUTHOR]

Complexly distributed aerosol particles have significant impacts on climate and environmental changes. As one of the vital atmospheric power sources, the wind field deeply affects the distribution and transport of aerosol particles. For a more comprehensive investigation of the aerosols flux and transport mechanism, two retrieval methods of aerosol optical properties (backscatter coefficient and extinction coefficient at 1550 nm) from coherent Doppler lidar (CDL) observation are proposed in this paper. The first method utilizes the calculated aerosol backscatter coefficient (532 nm) from Mie-scattering lidar datasets and the iterative Fernald method to retrieve aerosol optical property profiles during joint measurements with CDL and Mie-scattering lidar. After verifying the correctness of the first method compared with AERONET datasets, we proposed the second retrieval method. Using the forward integral Fernald method with near-ground reference aerosol extinction coefficient calculated by atmospheric visibility, aerosol optical properties at 1550 nm could be obtained. Thirty-six-day joint measurements with two lidars were specially designed and conducted to verify the correctness of these retrieval methods. The validation results of these two methods indicate great performances, where the mean relative errors are 0.0272 and 0.1656, and the correlation coefficients are 0.9306 and 0.9197, respectively. In conclusion, the feasibility of these two retrieval methods extends the capability of CDL to detect aerosol optical properties and also provides a possibility to observe the aerosol distribution and transport process comprehensively, which is a great promotion of aerosol transport studies development. [ABSTRACT FROM AUTHOR]

To better understand the genetics of hearing loss, we performed a genome-wide association meta-analysis with 125,749 cases and 469,497 controls across five cohorts. We identified 53/c loci affecting hearing loss risk, including common coding variants in COL9A3 and TMPRSS3. Through exome sequencing of 108,415 cases and 329,581 controls, we observed rare coding associations with 11 Mendelian hearing loss genes, including additive effects in known hearing loss genes GJB2 (Gly12fs; odds ratio [OR] = 1.21, P = 4.2 × 10−11) and SLC26A5 (gene burden; OR = 1.96, P = 2.8 × 10−17). We also identified hearing loss associations with rare coding variants in FSCN2 (OR = 1.14, P = 1.9 × 10−15) and KLHDC7B (OR = 2.14, P = 5.2 × 10−30). Our results suggest a shared etiology between Mendelian and common hearing loss in adults. This work illustrates the potential of large-scale exome sequencing to elucidate the genetic architecture of common disorders where both common and rare variation contribute to risk. A GWAS and exome-wide association study meta-analysis identifies 53 loci affecting hearing loss risk from over half a million individuals across five cohorts. Rare variants in Mendelian hearing loss genes contribute to hearing loss risk in adults. [ABSTRACT FROM AUTHOR]

Understory vegetation plays a crucial role in mediating the natural development of forest ecosystems. The removal of understory vegetation, as a common forest management practice, may have a significant impact on soil properties. However, a global perspective on how understory removal might affect soil biogeochemical properties is still lacking. To fill this knowledge gap, we performed a meta-analysis with 2059 observations collected from 71 peer reviewed publications to evaluate the effects of understory vegetation removal on soil carbon (C), nitrogen (N), phosphorus (P), potassium (K), and microbial biomass. We found that (1) removal of the understory significantly increased soil nitrates (NO 3 −) concentration by 6.5 %, but decreased the stocks of C and N, the concentrations of N, available K (AK) and microbial biomass C (MBC), and fine root biomass by 19.4, 15.1, 7.9, 19.9, 13.5 and 32.2%, respectively; (2) mycorrhizal association significantly mediated understory removal effects on soil organic C (SOC) and dissolved organic C (DOC) concentrations, and soil pH, while canopy type had a significant impact on the effects of understory removal on soil K, AK, NO 3 −, MBC concentrations, C:N ratio, and soil pH; (3) soil depth had a negative impact on the effects of understory removal on SOC, AK, ammonium nitrogen (NH 4 +) concentrations, and soil moisture; and (4) mycorrhizal association, soil depth, slope, forest stand age, elevation, and MAT were the most important moderator variables. Our results suggest that the removal of understory vegetation generally have negative effects on soil biogeochemical properties, and that managing understory vegetation is important for promoting the healthy development of forest ecosystems. [ABSTRACT FROM AUTHOR]

The slow reduction of Cu(II) into Cu(I) through peracetic acid (PAA) heavily limited the widespread application of Cu(II)/PAA system. Herein, hydroxylamine (HA) was proposed to boost the oxidative capacity of Cu(II)/PAA system by facilitating the redox cycle of Cu(I)/Cu(II). HA/Cu(II)/PAA system was quite rapid in the removal of diclofenac within a broad pH range of 4.5–9.5, with a 10-fold increase in the removal rate of diclofenac compared with the Cu(II)/PAA system at an optimal initial pH of 8.5. Results of UV−Vis spectra, electron paramagnetic resonance, and alcohol quenching experiments demonstrated that CH 3 C(O)O•, CH 3 C(O)OO•, Cu(III), and •OH were involved in HA/Cu(II)/PAA system, while CH 3 C(O)OO• was verified as the predominant reactive species of diclofenac elimination. Different from previously reported Cu-catalyzed PAA processes, CH 3 C(O)OO• mainly generated from the reaction of PAA with Cu(III) rather than CH 3 C(O)O• and •OH. Four possible elimination pathways for diclofenac were proposed, and the acute toxicity of treated diclofenac solution with HA/Cu(II)/PAA system significantly decreased. Moreover, HA/Cu(II)/PAA system possessed a strong anti-interference ability towards the commonly existent water matrix. This research proposed an effective strategy to boost the oxidative capacity of Cu(II)/PAA system and might promote its potential application, especially in copper-contained wastewater. [Display omitted] • Hydroxylamine (HA) greatly enhanced DCF removal in Cu(II)/PAA system in pH 4.5–9.5. • Cu(II)/Cu(I) cycle was significantly accelerated in the presence of hydroxylamine. • Cu(Ⅲ), CH 3 C(O)OO•, CH 3 C(O)O• and •OH were involved in HA/Cu(II)/PAA system. • CH 3 C(O)OO• was the dominant reactive species responsible for DCF elimination. • CH 3 C(O)OO• was mainly originated from the reaction between Cu(III) and PAA. [ABSTRACT FROM AUTHOR]

• A balance between economic development and environmental protection in the basin. • Inclusion of a key indicators to qualifies eco-compensation mechanism. • Equitable and effective allocation of basin through bidirectional eco-compensation. • A more viable model for environmental protection of the watersheds is proposed. Water pollutant emission permits (WPEPs) allocation is a competing limited consumption resource designed to address the issue of reconciling water pollution with economic development. In the wake of increasing conflicts, a pressing challenge is how to motivate stakeholders associated with the basin to establish a balance between economic development and environmental preservation. Based on the unidirectional flow of basin pollution, this study established a bidirectional ecological compensation (BEC) mechanism, which incorporated the key water pollution indicators (WPEPs allocation volume) into the BEC mechanism. By integrating the BEC mechanism with the WPEPs allocation model, a multi-objective optimization framework for balancing the fairness and economic efficiency of WPEPs allocation under the BEC synergy mechanism has been proposed. The Tuojiang river basin in China was selected for the study, and the allocation results and ecological compensation mechanisms under different allocation preferences were analyzed to verify the validity and practicality of the model. Results revealed that (1) BEC mechanisms can be considered to ensure equitable and efficient allocation of WPEPs in the basin. (2) Under the perspective of watershed cooperation, the bidirectional compensation mechanism proves to be an effective measure to promote economic development and environmental protection of the watershed. (3) Preferences of watershed managers for allocation and ecological compensation mechanisms can have an impact on the outcomes of allocation and ecological compensation mechanisms. This study provides reference for effective management and adoption of optimal allocation strategy of watershed WPEPs and synergistic management of BEC mechanisms. [ABSTRACT FROM AUTHOR]

Voriconazole (VOR) – induced liver injury is a common adverse reaction, and can lead to serious clinical outcomes. It is of great significance to describe the metabolic characteristics of VOR – induced liver injury and to elucidate the potential mechanisms. This study investigated the changes of plasma metabolic profiles in a rat model of VOR – induced liver injury by non – targeted metabolomics. Correlation analysis was performed between differentially expressed metabolites and plasma liver function indexes. The metabolites with strong correlation were determined for their predictive performance for liver injury using receiver operating characteristic (ROC) curve analysis. Potential biomarkers were then screened combined with liver pathological scores. Finally, the expression level of genes that involved in lipid metabolism were determined in rat liver to verify the mechanism of VOR – induced liver injury we proposed. VOR – induced liver injury in rats was characterized by plasma alanine aminotransferase (ALT) and aspartate aminotransferase (AST) elevation, the lipid droplets accumulation in liver, as well as inflammation and fibrosis. Significant changes of plasma metabolites were observed, with a decrease in lipid metabolites accounting for over 50% of all changed metabolites, and alterations of cholesterol and bile acids metabolites. The decrease of 3 phosphatidylcholine (PC) in plasma could indicate the occurrence of VOR – induced liver injury. Decreased fatty acids (FA) oxidation and bile acid excretion might be the potential mechanisms of VOR – induced liver injury. This study provided new insights into the molecular characterization of VOR – induced liver injury. [Display omitted] • Voriconazole induced lipid accumulation, inflammation and fibrosis in rat liver. • Non – targeted metabolomics analysis of rat plasma revealed abnormal metabolism. • 3 phosphatidylcholine might be potential biomarkers. • Decreased fatty acids oxidation and bile acid excretion might the mechanisms. [ABSTRACT FROM AUTHOR]

The increasing production and usage of ionic liquids (ILs) have raised global ecotoxicological concerns regarding their release into the environment. While the effects of side chains on the IL-induced toxicity in various aquatic organisms have been well-recognized, the role of cationic cores in determining their ecotoxicity remains to be elucidated. Herein, the comparative bioavailability and toxicity of two ILs with different cationic cores but the same anion and side chain in zebrafish embryos were determined. 1-octyl-3-methylimidazolium bromide ([C8mim]Br) has higher accumulation in zebrafish, and triggered developmental toxicity by inducing oxidative stress and apoptosis. Meanwhile, 1-octyl-1-methylpyridium bromide ([C8py]Br) enhanced SOD activity and upregulated anti-apoptotic bcl-2 gene expression, contributing to its much lower neurodevelopmental toxicity. Our study demonstrates the vital role of cationic core in determining the developmental toxicity of ILs and highlights the need for further investigations into the toxicity of imidazolium and pyridinium based ILs in aquatic ecosystems. • Comparative toxicity of [C 8 mim]Br and [C 8 py]Br to zebrafish larvae was performed. • [C 8 mim]Br has much higher accumulation and neurodevelopmental toxicity than [C 8 py]Br. • [C 8 mim]Br and [C 8 py]Br triggered oxidative stress and apoptosis in distinct ways. • Imidazolium and pyridinium group play a vital role in determining the toxicity of ILs. [ABSTRACT FROM AUTHOR]

Triazole fungicides are used to control the disease of cereal crops but may also cause adverse effects on non-target organisms. There is a lack of toxicity data for some triazoles such as fenbuconazole in aquatic organisms. This research was conducted to evaluate the toxicity of fenbuconazole at environmentally relevant concentrations with attention on the mitochondria, antioxidant system, and locomotor activity in zebrafish. Zebrafish were exposed to one concentration of 5, 50, 200 or 500 ng/L fenbuconazole for 96 h. There was no effect on survival nor percentage of fish hatched, but exposure to 200 and 500 ng/L fenbuconazole resulted in malformation and hypoactivity in zebrafish. Oxygen consumption rates (OCR) of embryos were measured to determine if the fungicide impaired mitochondrial respiration. Exposure to 500 ng/L fenbuconazole reduced basal OCR and oligomycin-induced ATP linked respiration in exposed fish. Fenbuconazole reduced mitochondrial membrane potential and reduced the activities of mitochondrial Complex II and III. Transcript levels of both sdhc and cyc1 , each related to Complex II and III, were also altered in expression by fenbuconazole exposure, consistent with mitochondrial dysfunction in embryos. Fenbuconazole activated the antioxidant system, based upon both transcriptional and enzymatic data in zebrafish. Consistent with mitochondrial impairment, molecular docking confirmed a strong binding capacity of the fungicide at the Q i site of Complex III, revealing this complex is susceptible to fenbuconazole. This study reveals potential toxicity pathways related to fenbuconazole exposure in aquatic organisms; such data can improve risk assessments for triazole fungicides. [Display omitted] • Zebrafish exposed to 200 ng/L fenbuconazole induced malformations in larvae. • Oxygen consumption rate of embryos was inhibited in 500 ng/L fenbuconazole. • Locomotor activity of 6 dpf zebrafish was reduced in the visual motor response test with exposure to 500 ng/L fenbuconazole. [ABSTRACT FROM AUTHOR]

The remote sensing of water clouds is useful for studying their spatial and temporal variations and constraining physical processes in climate and weather prediction models. However, radar-only detection provides inadequate information for the cloud droplet size distribution. Here, we propose a novel lookup-table method, which combines lidar (1064, 532 nm) and radar (8.6 mm) to retrieve profiles of cloud optical (backscatter coefficient and extinction coefficient) and microphysical properties (effective diameter and liquid water content). Through the iteration of the extinction-to-backscatter ratio, more continuous cloud optical characteristics can be obtained. Sensitivity analysis shows that a 10% error of the lidar constant will lead to a retrieval error of up to 30%. The algorithm performed precise capture of the ideal cloud signal at a specific height and at full height and the maximum relative error of the backscatter coefficients at 1064 nm and 532 nm were 6% and 4%, respectively. With the application of the algorithm in the two observation cases on single or multiple cloud layers, the results indicate that the microphysical properties mostly agree with the empirical radar measurements but are slightly different when larger particles cause signal changes of different extents. Consequently, the synergetic algorithm is capable of computing the cloud droplet size distribution. It provides continuous profiles of cloud optical properties and captures cloud microphysical properties well for water cloud studies. [ABSTRACT FROM AUTHOR]

In this paper, the effect of Zn-vacancy defect on adsorption of HS on smithsonite (101) surface was studied by density-functional theory (DFT). The results showed that Zn-vacancy defect made the peaks of the VB and VT defect surfaces both move to left, and the peaks of them around the Fermi energy both decreased. Hence, the reactivity of VB and VT defect surfaces were both lower than that of the perfect smithsonite surface. The presence of Zn-vacancy on the smithsonite surface not only inhibited the adsorption of HS on the site of Zn-vacancy (VT-V and VB-V) but also depressed its adsorption on the Zn site nearby the Zn-vacancy (VT-BZn and VB-TZn). When HS was on the VT-BZn site on the smithsonite surface, the adsorption site of HS was the bridge between S atom the two Zn atoms, and when on the VT-V and VB-TZn sites, the adsorption site of HS was the Zn atom on the smithsonite surface. While on the VB-V site, the adsorption site of HS was the C atom on the smithsonite surface, and the bonding of S‒C was formed. Meanwhile, electron transfers among the bonding atoms on smithsonite surface were observed. The results can provide insights into the sulphidization of smithsonite containing defects. [Display omitted] [ABSTRACT FROM AUTHOR]