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The absorption-saturated carbon materials and waste template agent may cause secondary pollution to the environment, if it was treated inappropriately. To avoid the potential environmental risk, the regeneration of adsorption-saturated carbon materials and template agent were investigated. Thermal regeneration and solvent regeneration methods were both employed in regeneration of absorption-saturated carbon. Results showed that the thermal-regenerated carbon outperformed solvent-regenerated carbon. The maximum adsorption value (453.5 mg/g) of Congo red was obtained at the regeneration temperature of 400°C, slightly higher than the maximum value of 443.5 mg/g obtained in solvent regeneration. In the aspect of template agent regeneration, regenerated calcium citrate was obtained by acid washing of the waste template agent and precipitation crystallization of calcium ions. The best condition was achieved at a crystallization temperature of 80°C and a droplet rate of 0.4 mL/min. Porous carbon prepared by the optimal regenerated template agent showed a maximum adsorption capacity of 429.5 mg/g, which is still acceptable for Congo red adsorption. Its removal ratio remained above 78.4% after four cycles. The results of this study realized the regeneration of absorption-saturated carbon materials and calcium citrate, avoids the environmental pollution caused by the preparation and usage of porous carbon. [ABSTRACT FROM AUTHOR]

Multilayer network models with heterogeneous nodes characterize complex network in the reality to the best effect, and bounded synchronization has more important practical significance in engineering applications. This paper aims at the bounded intra-layer synchronization of multilayer heterogeneous networks where nodal dynamics is different each other. Based on a newly-introduced vector norm, we derive the sufficient conditions for the bounded intra-layer synchronization in multiplex networks with one-to-one connections between layers by using a new effective approach. The condition integrates the intra-layer and inter-layer structure information, and can be as well used to the accurate intra-layer synchronization in multiplex networks with homogeneous nodes each layer. More interestingly, the theoretical results show the negative/positive coupling between layers has negative/positive effect for intra-layer synchronization, and the partial cutting of connections between layers increases the bound of intra-layer synchronization. Finally, numerical examples are provided to verify the effectiveness of theoretical results. [ABSTRACT FROM AUTHOR]

We investigated a time-delayed optoelectronic oscillator (OEO) that displays a wide range of complex dynamic behavior under small time delay. The phase-space trajectory distributions in different dynamic regimes were compared which brings a new perspective on the underlying mechanism of the transition process. It was found that bifurcation is always possible no matter how small the time delay is even if the universal adiabatic approximation model is invalid. Hereby we proposed a versatile simple oscillator which has a potential capacity as memory carrier and high-dimensional state spatial mapping ability that brings 1000 times computing-efficiency improvements of reservoir computing over the large time delay one. Furthermore, we demonstrated a new approach for a tunable optoelectronic pulse generator (repetition rate at 0.2 MHz and 0.25 GHz) which depends critically on time-delayed input electrical pulse. The proposed oscillator is also a promising system for the applications of fast chaos-based communication. [ABSTRACT FROM AUTHOR]

Based on the theory of socio-emotional selectivity, this study examines the effect of digital engagement on the mental health of older individuals using data from the 2018 China Longitudinal Aging Social Survey (CLASS). The results show that digital engagement has a significant effect on the mental health of older individuals, manifested by a decline in depression and an enhancement of cognitive abilities. The results are robust by Using instrumental variables to solve endogenous problem and the propensity score matching method to solve selective bias. The analysis of heterogeneity demonstrates that digital engagement can significantly reduce the depression level of older people without chronic diseases and at lower ages and promote the cognitive ability of older adults without chronic diseases and older adults of higher ages. Mechanistic analysis shows that digital engagement can reduce depression in older adults by alleviating loneliness and improving emotional well-being and cognitive performance by enhancing social support. Therefore, digital engagement gives older people a more positive emotional experience and more social support and thereby improves mental health, delivering proactive answers to the problems an aging population brings. [ABSTRACT FROM AUTHOR]

This article proposes a unique method for the detection of the common doping drug Nandrolone (NDL) utilizing an electrochemical sensor based on a ZnO/GO nanocomposite modified glassy carbon electrode (ZIF8/GO/GCE) produced from metal–organic frameworks (MOFs). The accurate and sensitive detection of NDL, a prohibited doping agent in sports, is crucial for ensuring fair play and protecting athletes' health. With its improved sensitivity and selectivity, the suggested sensor provides a quick, easy, and affordable way to detect NDLs. This makes it appropriate for on-site testing in intricate matrices such as biological, medicinal, and food samples. High precision and dependability are ensured by the special material combination, which takes advantage of the sensor's high surface sensitivity, selectivity, and stability. The sensor is a dependable instrument for these kinds of applications since it demonstrates excellent stability and repeatability in the electrochemical detection process. Using differential pulse voltammetry (DPV) measurements on real-world substances such as human serum, apples, and tap water, the suggested sensor's practical applicability was evaluated. With recovery rates ranging from 94.00 to 99.00%, the results highlight the ZIF8/GO/GCE sensor's exceptional precision for NDL detection and highlight its accuracy and dependability in clinical and food industry applications. Significantly, the sensor exhibited a sensitivity of 0.33074 µA/µM, a wide linear range from 0.5 µM to 138 µM, and a limit of detection as low as 0.09 µM. This study highlights how nanotechnology might improve analytical techniques and encourage fair play in sports. [ABSTRACT FROM AUTHOR]

The accurate extraction of agricultural parcels from remote sensing images is crucial for advanced agricultural management and monitoring systems. Existing methods primarily emphasize regional accuracy over boundary quality, often resulting in fragmented outputs due to uniform crop types, diverse agricultural practices, and environmental variations. To address these issues, this paper proposes DSTBA-Net, an end-to-end encoder–decoder architecture. Initially, we introduce a Dual-Stream Feature Extraction (DSFE) mechanism within the encoder, which consists of Residual Blocks and Boundary Feature Guidance (BFG) to separately process image and boundary data. The extracted features are then fused in the Global Feature Fusion Module (GFFM), utilizing Transformer technology to further integrate global and detailed information. In the decoder, we employ Feature Compensation Recovery (FCR) to restore critical information lost during the encoding process. Additionally, the network is optimized using a boundary-aware weighted loss strategy. DSTBA-Net aims to achieve high precision in agricultural parcel segmentation and accurate boundary extraction. To evaluate the model's effectiveness, we conducted experiments on agricultural parcel extraction in Denmark (Europe) and Shandong (Asia). Both quantitative and qualitative analyses show that DSTBA-Net outperforms comparative methods, offering significant advantages in agricultural parcel extraction. [ABSTRACT FROM AUTHOR]

Exosomes derived from mesenchymal stem cells (MSCs) have been confirmed to enhance cell proliferation and improve tissue repair. Exosomes release their contents into the cytoplasmic solution of the recipient cell to mediate cell expression, which is the main pathway through which exosomes exert therapeutic effects. The corresponding process of exosome internalization mainly occurs in the early stage of treatment. However, the therapeutic effect of exosomes in the early stage remains to be further studied. We report that the three-dimensional cell traction force can intuitively reflect the ability of exosomes to enhance the cytoskeleton and cell contractility of recipient cells, serving as an effective method to characterize the therapeutic effect of exosomes. Compared with traditional biochemical methods, we can visualize the early therapeutic effect of exosomes in real time without damage by quantifying the cell traction force. Through quantitative analysis of traction forces, we found that endometrial stromal cells exhibit short-term cell roundness accompanied by greater traction force during the early stage of exosome therapy. Further experiments revealed that exosomes enhance the traction force and cytoskeleton by regulating the Rac1/RhoA signaling pathway, thereby promoting cell proliferation. This work provides an effective method for rapidly quantifying the therapeutic effects of exosomes and studying the underlying mechanisms involved. [ABSTRACT FROM AUTHOR]

Due to the uncertainty of distributed energy resources (DERs), the effectiveness of voltage control in distribution networks faces significant challenges. Aiming at this problem, a novel distributed stochastic model predictive control (DSMPC) scheme was proposed in this paper to achieve voltage regulation considering the uncertainty of DERs. In the proposed control scheme, based on the photovoltaic (PV) prediction error model, multiple operation scenarios are selected to characterize the uncertainty of PV generation. Then, based on these selected scenarios, a DSMPC approach is developed to minimize the cost of control actions by coordinating the PV inverters and battery energy storage systems. Simulation involving the modified IEEE 34-bus verified that the proposed method can work effectively under the uncertainty of DERs and achieves a comparable control performance with a well-designed centralized controller. [ABSTRACT FROM AUTHOR]

Li-O2 batteries with high energy density hold significant promise as next-generation energy storage systems. However, Li-O2 batteries have poor cycling performance at high current densities and large capacities, primarily due to the high impedance caused by the instability of the lithium anode and the sluggish kinetics in the discharge products decomposition on the cathode. Herein, we investigated a bifunctional nitrile additive (2-methoxy benzonitrile (2-MBN)) with good chemical/electrochemical stability to improve the performances of Li-O2 batteries. The 2-MBN could actively modify the anode by ensuring uniform Li+ deposition and optimizing the composition of solid electrolyte interphase (SEI). Meanwhile, it could also facilitate the decomposition of discharge products by inducing the formation of sheet-like Li2O2, significantly reducing the battery charge overpotential. The bifunctional effects of 2-MBN for the anode and cathode enable Li-O2 batteries to achieve a stable lifetime of 97 cycles at a current density of 600 mA·g−1 with a fixed capacity of 2000 mAh·g−1, much better than that of Li-O2 batteries without 2-MBN (28 cycles). The inclusion of 2-MBN provides an effective approach for attaining high-performance Li-O2 batteries. [ABSTRACT FROM AUTHOR]

Purpose: The objective of this study was to investigate the spatiotemporal distribution patterns of two common heavy metals, Cd and Pb, in urban rivers in plains, and analyze the impact of weak hydrodynamics on the transport of heavy metals, and guide their ecological risk assessments in these regions. Materials and methods: Two field surveys (wet and dry seasons) were conducted at a total of 36 sites in the tributaries of Gehu Lake, located in a plain region in China. The European Community Bureau of Reference (BCR) extraction method was employed to analyze the components of Cd and Pb. The Nemello index and ecological risk index were calculated to assess their pollution levels and ecological risks. Results and discussion: Cd primarily accumulated at the river mouths, while Pb was predominantly concentrated near the discharge sources. The mobile fractions of Cd were more likely to be released and migrate downstream, and thus the total Cd content demonstrated a significantly negative correlation with these mobile forms (p < 0.05). In contrast, although Pb had a greater proportion of mobile fractions, they were readily re-adsorbed onto particles and settled near the source. The source area displayed notable pollution with Pb, whereas the downstream river mouth area posed a high risk of Cd pollution. Conclusions: The results indicated that the weak river hydrodynamics within plains amplify the impact of heavy metal mobility on their behaviors, producing a "screening effect" on Pb and Cd and resulting in distinct distribution patterns in sediments. These findings can guide the ecological risk assessment of heavy metals in aquatic ecosystems within plains. [ABSTRACT FROM AUTHOR]

Visible light communication (VLC) based on superluminescent diode (SLD) is a promising technology with great potential for future 6G optical wireless network. In this work, a 405 nm violet SLD device is fabricated with an 8° tilted facet at one end of the waveguide based on InGaN/GaN quantum wells. The device has an optical power of 14.67 mW under continuous‐wave operation. The full width at half maximum (FWHM) of the SLD at 400 mA is 12.52 nm, which is significantly larger than that in a violet laser diode (LD). Using the SLD as transmitter in VLC system, a high data transmission rate of 3.299 Gbps has been achieved using the discrete multiple tone (DMT) modulation. The corresponding bit error ratio (BER) is measured to be 1.67 × 10−3, which satisfies the forward error correction (FEC) threshold of 3.8 × 10−3. The results suggest that such device can be used as a promising light source for VLC and light fidelity (LiFi) applications. [ABSTRACT FROM AUTHOR]

Pelophylax nigromaculatus is an important aquaculture economic animal in China, with an annual output of more than 80,000 tons in recent years. P. nigromaculatus demonstrates distinct sexual dimorphism, characterized by females being substantially larger than males. Consequently, the cultivation of female populations presents higher economic value. The RNA-Seq technology is harnessed in this study to delve into the sexual differentiation and reproductive mechanisms of these frogs. By analyzing the transcriptomes of mature testes and ovaries, 17.24 Gbp and 23.71 Gbp of clean data were obtained respectively. This analysis yielded 107,897 annotated genes, among which 8099 were differentially expressed; 4370 were upregulated and 3729 were downregulated in ovaries. GO and KEGG analyses highlighted 70 genes exhibiting sexual dimorphism. For validation, 13 differentially expressed genes were subjected to qRT-PCR, corroborating the results of transcriptome sequencing. Furthermore, the transcriptome analysis of P. nigromaculatus' sexual glands revealed 1,062,663 SNPs, with 676,172 (63.63%) and 386,491 (36.37%) being base conversion and base transversion sites, respectively. Utilizing excel for SNP site analysis, 35,406 SNPs were identified as significantly associated with the sex of P. nigromaculatus. In pursuit of sex-related markers, 100 SNP sites, aligning perfectly with male heterozygosity and female homozygosity, were randomly selected for amplification and sequencing. Through this approach, 134 SNPs were identified, 83 (61.94%) of which matched the transcriptome data. The findings of this study provide an invaluable resource for future functional research on sex-related genes of P. nigromaculatus and offer a foundation for the development of sex-related molecular markers. [ABSTRACT FROM AUTHOR]

Spinal cord injury (SCI) often results in motor and sensory deficits, or even paralysis. Due to the role of the cascade reaction, the effect of excessive reactive oxygen species (ROS) in the early and middle stages of SCI severely damage neurons, and most antioxidants cannot consistently eliminate ROS at non-toxic doses, which leads to a huge compromise in antioxidant treatment of SCI. Selenium nanoparticles (SeNPs) have excellent ROS scavenging bioactivity, but the toxicity control problem limits the therapeutic window. Here, we propose a synergistic therapeutic strategy of SeNPs encapsulated by ZIF-8 (SeNPs@ZIF-8) to obtain synergistic ROS scavenging activity. Three different spatial structures of SeNPs@ZIF-8 were synthesized and coated with ferrostatin-1, a ferroptosis inhibitor (FSZ NPs), to achieve enhanced anti-oxidant and anti-ferroptosis activity without toxicity. FSZ NPs promoted the maintenance of mitochondrial homeostasis, thereby regulating the expression of inflammatory factors and promoting the polarization of macrophages into M2 phenotype. In addition, the FSZ NPs presented strong abilities to promote neuronal maturation and axon growth through activating the WNT4-dependent pathways, while prevented glial scar formation. The current study demonstrates the powerful and versatile bioactive functions of FSZ NPs for SCI treatment and offers inspiration for other neural injury diseases. [ABSTRACT FROM AUTHOR]

Vegetation responses to rising atmospheric CO2 levels can significantly affect water availability (defined as precipitation minus evapotranspiration (ET)). While this effect has long been recognized and assessed for the mean state, its influence on interannual variability, which is more closely associated with extreme events, has yet to be comprehensively quantified. In this study, our primary focus is to evaluate the impacts of ET by plant physiology (denoted as ETPhy) on the mean and interannual variability of water availability under elevated CO2 using multiple CO2 sensitivity experiments from the coupled model intercomparison project phase 6. We show that the contribution of vegetation physiological effects to the mean water availability varies among regions, while it consistently contributes to variability by about 33%. Considering CO2 physiological effects alone, ETPhy exerts a more significant influence on the mean state than on variability, particularly in humid regions. Consequently, ETPhy contributes less than 5% to the variability of water availability in humid regions under rising CO2, whereas it accounts for about 20% of the mean state. This distinction could be attributed to the different mechanisms governing the mean and variability of ETPhy. Specifically, evaporation from CO2 physiological forcing is the most critical contributor to the variability of ETPhy in most regions while showing minimal impacts on the mean state. Our findings identify the divergent effects of ETPhy on the mean state and interannual variability of water availability under elevated CO2, as important in future climate projections. Plain Language Summary: Rising atmospheric CO2 concentrations impacts on vegetation physiological processes are expected to change the evapotranspiration (ET) by plant physiology (denoted as ETPhy), allowing for altering the mean and the interannual variability of water availability (defined as precipitation minus ET). Using an ensemble of Earth system model simulations, this study reveals that the impacts of CO2 physiological effects on the mean of water availability are region‐specific, but with a nearly consistent contribution to its interannual variability. Combined with the impact of ETPhy on the mean and variability of water availability resulting from CO2 physiological forcing, ETPhy typically contributes less than 5% to the variability of water availability in humid regions under rising CO2, whereas it accounts for about 20% of the mean state. This discrepancy could arise from the different mechanisms governing the mean and variability of ETPhy. These results underscore the importance of accounting for the effects of ETPhy in response to increasing CO2 in altering the mean and the interannual variability of regional water resources. Key Points: The effects of CO2 vegetation responses contribute variably in space to mean annual water availability but uniformly to variabilityThe evapotranspiration (ET) from CO2 physiological forcing (ETPhy) shows more impacts on the mean of water availability than its variabilityThe evaporation from CO2 physiological forcing plays an important role in the variability of ETPhy but has weak effects on the mean [ABSTRACT FROM AUTHOR]

Background: The pathogenesis of thyroid-associated orbitopathy (TAO) remains incompletely understand. The interaction between immunocytes and orbital fibroblasts (OFs) play a critical role in orbital inflammatory and fibrosis. Accumulating reports indicate that a significant portion of plasma exosomes (Pla-Exos) are derived from immune cells; however, their impact upon OFs function is unclear. Methods: OFs were primary cultured from inactive TAO patients. Exosomes isolated from plasma samples of patients with active TAO and healthy controls (HCs) were utilized for functional and RNA cargo analysis. Functional analysis in thymocyte differentiation antigen-1+ (Thy-1+) OFs measured expression of inflammatory and fibrotic markers (mRNAs and proteins) and cell activity in response to Pla-Exos. RNA cargo analysis was performed by RNA sequencing and RT-qPCR. Thy-1+ OFs were transfected with miR-144-3p mimics/inhibitors to evaluate its regulation of inflammation, fibrosis, and proliferation. Results: Pla-Exos derived from active TAO patients (Pla-ExosTAO−A) induced stronger production of inflammatory cytokines and hyaluronic acid (HA) in Thy-1+ OFs while inhibiting their proliferation. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and single sample gene set enrichment analysis (ssGSEA) suggested that the difference in mRNA expression levels between Pla-ExosTAO−A and Pla-ExosHC was closely related to immune cells. Differential expression analysis revealed that 62 upregulated and 45 downregulated miRNAs in Pla-ExosTAO−A, with the elevation of miR-144-3p in both Pla-Exos and PBMCs in active TAO group. KEGG analysis revealed that the target genes of differentially expressed miRNA and miR-144-3p enriched in immune-related signaling pathways. Overexpression of the miR-144-3p mimic significantly upregulated the secretion of inflammatory cytokines and HA in Thy-1+ OFs while inhibiting their proliferation. Conclusion: Pla-Exos derived from patients with active TAO were immune-active, which may be a long-term stimulus casual for inflammatory and fibrotic progression of TAO. Our finding suggests that Pla-Exos could be used as biomarkers or treatment targets in TAO patients. [ABSTRACT FROM AUTHOR]

With the rapid evolution of the rural digital economy, analyzing the impact of digital literacy level on farm households' formal borrowing is crucial for easing credit constraints and fostering rural economic growth. Leveraging the data from the 2020 China Family Panel Studies (CFPSs) and applying binary probit models and the Karlson–Holm–Breen (KHB) method, this study delineates the positive correlation between the digital literacy level and increased formal borrowing among farm households. The findings, which were robust against endogeneity and robustness tests, underscore the role of digital literacy level in augmenting farmers' earnings and social networks, with a notably stronger mediation by earnings. The effects are particularly significant for middle-aged and older, less educated males in the central and western regions, in contrast with younger, highly educated females in the east. This research advocates for enhancing rural digital infrastructure and education, alongside financial system reforms, to advance rural financial development and support sustainable rural revitalization. [ABSTRACT FROM AUTHOR]

Faced with higher demands of pigments in various applications, the performance of pigments in a specific system is in urgent need of optimization and improvement. Polyorganosiloxane (POS) stands out among various encapsulating polymeric materials for pigment modification due to its superior thermal stability and alkali resistance. However, the inherent hydrophobicity of POS causes poor stability in aqueous systems, which is usually applied in environmentally friendly applications. Grafting hydrophilic polymer chains on the surface of POS could improve water dispersity. In addition, the encapsulated pigment can also be endowed with various functionalities by selecting or combining grafted polymers. Herein, we reported a strategy to encapsulate Prussian blue (PB27) with POS grafted with poly(acrylic acid) (PAA) or poly(N-(2-hydroxyethyl) acrylamide) (PHEAA) to allow better stability and functionality of the composite pigment particles, denoted as PB27@POS@PAA or PB27@POS@PHEAA, respectively. The effect of the number of monomers and the amount of initiator potassium persulfate (KPS) on the brush thickness of the grafted polymers was studied, along with various performance properties and the functionality of PB27@POS@PAA and PB27@POS@PHEAA. The dispersity, alkali resistance, and high-temperature stability are studied. The brush-like composite pigment performs better after centrifugation (5000 rpm, 30 min) or treatment under 90 °C when the dosage of grafting monomer AA or HEAA reaches 400 wt%. Optimal alkali resistance was obtained for PB27@POS@PAA (AA, 200 wt%) with a particle size variation of only 31 nm after 8 h. Comparably, PB27@POS@PHEAA behaved worse under similar conditions. Moreover, PB27@POS grafted with PAA was responsive to pH and that with PHEAA showed excellent antifouling properties, which could also be replaced by other functional monomers if needed. [ABSTRACT FROM AUTHOR]

Bolts have the advantages of simple installation and easy removal. They are widely applied in aerospace and high-speed railway traffic. However, the loosening of bolts under mixed loads can lead to nonlinear decreases in pre-loading. This affects the safety performance of the structure and may lead to catastrophic consequences. Existing techniques cannot be used to monitor the bolt performance status in time. This has caused significant problems with the safety and reliability of equipment. In order to study the relaxation law of bolt pre-loading, this paper carries out an experimental analysis for 8.8-grade hexagonal bolts and calibrates the torque coefficient. We also studied different loading waveforms, nickel steel plate surface roughnesses, tangential displacement frequencies, four different strengths and bolt head contact areas of the bolt, the initial pre-loading, and the effects of tangential cyclic displacement on pre-loading relaxation. This was done in order to accurately predict the degree of bolt pre-loading loosening under external loads. The laws are described using the allometric model function and the nine-stage polynomial function. The least squares method is used to identify the parameters in the function. The results show that bolts with a smooth surface of the connected structure nickel steel flat plate, high-frequency working conditions, half-sine wave, and a high-strength have better anti-loosening properties. Taking 5–10 cycles of cyclic loading as a boundary, the pre-loading relaxation is divided into two stages. The first stage is a stage of rapid decrease in bolt pre-loading, and the second stage is the slow decrease process. The performance prediction study shows that the allometric model function is the worst fitted, at 71.7% for the small displacement condition. Other than that, the allometric model function and the nine-stage polynomial function can predict more than 85.5% and 90.4%, which require the use of least squares to identify two and ten unknown parameters, respectively. The complexity of the two is different, but both can by better indicators than the pre-loading relaxation law under specific conditions. It helps to improve the monitoring of bolt loosening and the system use cycle, and it can provide theoretical support for complex equipment working for a long time. [ABSTRACT FROM AUTHOR]

The Lower Indus River (LIR) in the Southern Sindh has experienced by multiple measurable changes in its planform and longitudinal profiles over the last 100 years. This research deals with a hydrodynamic model coupled with rough set theory (RST) model findings that accounts for the prediction of lateral and vertical morphodynamic evolution observed over the 32 km reach during the flood episode of 2020. Human interferences and hydrodynamic aspects during high flood periods were assessed in the context of channel morphology. Surveyed cross-sections were used to construct the geometry using two-dimensional (2D) Hydrologic Engineering Center's River Analysis System (HEC-RAS) model, and simulation was completed under the unsteady flow values among the highest runoff and bankfull values. The island and natural bend of the river have higher values of velocities and shear stresses, and consequently higher erosion and incision rate was observed. The bank erosion was computed with high precision (R2 = 0.83) based on improved connection of erodibility coefficient and excess shear stress technique. The present study findings will be helpful to assist in the implementation of river protection works at the given locations of Indus River and will serve as a framework for similar river reaches. [ABSTRACT FROM AUTHOR]

High-speed GaN-based lasers play a pivotal role in visible light communication (VLC) systems; however, the causes of the limited modulation response of our fabricated laser diode (LD) are not fully understood. Accordingly, we constructed an equivalent circuit model for both the LD and its packaging. This model enabled us to analyze the series resistance and parallel capacitance of the LD at different injection currents. Experiments and simulations were performed to investigate the intrinsic responses of the LD. The series resistance and parallel capacitance are responsible for S21 roll-off at low frequencies. Determination of the packaging design parameters on the modulation response of a transistor outline (TO)-can packaged LD was investigated which is important to achieve the impedance match in the future. The value of each discrete component was determined by fitting the scattering parameters of the equivalent circuit model to the packaged LD. Reducing the series resistance and parallel capacitance improved the modulation response. Our study firstly illustrates the design and manufacture of violet-blue-green laser transmitters with a large modulation bandwidth for ultra-high-speed VLC from the point of the impedance influence. [ABSTRACT FROM AUTHOR]

Mobile visible light communication (VLC) is key for integrating lighting and communication applications in the 6G era, yet there exists a notable gap in experimental research on mobile VLC. In this study, we introduce a mobile VLC system and investigate the impact of mobility speed on communication performance. Leveraging a laser-based light transmitter with a wide coverage, we enable a light fidelity (LiFi) system with a mobile receiving end. The system is capable of supporting distances from 1 m to 4 m without a lens and could maintain a transmission rate of 500 Mbps. The transmission is stable at distances of 1 m and 2 m, but an increase in distance and speed introduces interference to the system, leading to a rise in the Bit Error Rate (BER). The mobile VLC experimental system provides a viable solution to the issue of mobile access in the integration of lighting and communication applications, establishing a solid practical foundation for future research. [ABSTRACT FROM AUTHOR]

Background: Solanum muricatum is an emerging horticultural fruit crop with rich nutritional and antioxidant properties. Although the chromosome-scale genome of this species has been sequenced, its mitochondrial genome sequence has not been reported to date. Results: PacBio HiFi sequencing was used to assemble the circular mitogenome of S. muricatum, which was 433,466 bp in length. In total, 38 protein-coding, 19 tRNA, and 3 rRNA genes were annotated. The reticulate mitochondrial conformations with multiple junctions were verified by polymerase chain reaction, and codon usage, sequence repeats, and gene migration from chloroplast to mitochondrial genome were determined. A collinearity analysis of eight Solanum mitogenomes revealed high structural variability. Overall, 585 RNA editing sites in protein coding genes were identified based on RNA-seq data. Among them, mttB was the most frequently edited (52 times), followed by ccmB (46 times). A phylogenetic analysis based on the S. muricatum mitogenome and those of 39 other taxa (including 25 Solanaceae species) revealed the evolutionary and taxonomic status of S. muricatum. Conclusions: We provide the first report of the assembled and annotated S. muricatum mitogenome. This information will help to lay the groundwork for future research on the evolutionary biology of Solanaceae species. Furthermore, the results will assist the development of molecular breeding strategies for S. muricatum based on the most beneficial agronomic traits of this species. [ABSTRACT FROM AUTHOR]

Bolted joints structures are critical fastening components widely used in mechanical equipment. Under long-term loading conditions, the bolted joints interface generates strong nonlinearities within the system. The nonlinear stiffness inside the bolt leads to changes in the stiffness of the whole system. This affects the dynamic characteristics of the whole system. It brings challenges and difficulties to the performance prediction and reliability assessment of the equipment. A cross-scale theoretical model study based on the microscopic contact mechanism can provide a more comprehensive understanding and cognition of the degradation behavior of bolted joints interfaces. The current development status and deformation process of asperity models are summarized. The research progress of statistical summation model and contact fractal model based on microscopic contact mechanism is analyzed. The experimental methods for parameter identification of connection interfaces are reviewed. The study of numerical modelling of bolted joints structures from the surface contact mechanism is briefly described. Future research directions for cross-scale modelling of bolted joints structures are outlined. [ABSTRACT FROM AUTHOR]

In this study, based on the Iwan model, the connection interface of the bolted joint structure subjected to lateral loads was simulated and comparatively analyzed. Commercial finite element software was used to model the bolted joint structure. Monotonic lateral loads and cyclic displacement loads were applied to the model. The changes in the preload force of the bolted connection structure, as well as the changes in the sticking zone and stress state of the connection interface, were analyzed, and the loading results of monotonic load and cyclic displacement load were compared. The results show that the contact interface stress decreases with the increase in displacement load, and this increase is also a nonlinear relationship, which is approximately in phase with the trend of the contact surface slip curve. The amount of contact surface stress loss and the amount of preload loss are not directly related to the magnitude of the initial preload, regardless of the loading conditions. The contact surface is also circular under any form of displacement loading, whether it is stressed or slipped. The amount of preload loss is proportional to the amount of bolt compression for that variable. [ABSTRACT FROM AUTHOR]

Key message: This study revealed the identification of a novel gene, Zm00001d042906, that regulates maize ear length by modulating lignin synthesis and reported a molecular marker for selecting maize lines with elongated ears. Maize ear length has garnered considerable attention due to its high correlation with yield. In this study, six maize inbred lines of significant importance in maize breeding were used as parents. The temperate maize inbred line Ye107, characterized by a short ear, was crossed with five tropical or subtropical inbred lines featuring longer ears, creating a multi-parent population displaying significant variations in ear length. Through genome-wide association studies and mutation analysis, the A/G variation at SNP_183573532 on chromosome 3 was identified as an effective site for discriminating long-ear maize. Furthermore, the associated gene Zm00001d042906 was found to correlate with maize ear length. Zm00001d042906 was functionally annotated as a laccase (Lac4), which showed activity and influenced lignin synthesis in the midsection cells of the cob, thereby regulating maize ear length. This study further reports a novel molecular marker and a new gene that can assist maize breeding programs in selecting varieties with elongated ears. [ABSTRACT FROM AUTHOR]

In this article, we establish a characterization of the set M (B p , ∞ 0 , b (R n)) of all pointwise multipliers of Besov spaces B p , ∞ 0 , b (R n) with only logarithmic smoothness b ∈ R in the special cases p = 1 and p = ∞ . As applications of these two characterizations, we clarify whether or not the three concrete examples, namely characteristic functions of open sets, continuous functions defined by differences, and the functions e i k · x with k ∈ Z n and x ∈ R n , are pointwise multipliers of B 1 , ∞ 0 , b (R n) and B ∞ , ∞ 0 , b (R n) , respectively; furthermore, we obtain the explicit estimates of ‖ e i k · x ‖ M (B 1 , ∞ 0 , b (R n)) and ‖ e i k · x ‖ M (B ∞ , ∞ 0 , b (R n)) . In the case where p ∈ (1 , ∞) , we give some sufficient conditions and some necessary conditions of the pointwise multipliers of B p , ∞ 0 , b (R n) and a complete characterization of M (B p , ∞ 0 , b (R n)) is still open. However, via a different method, we are still able to accurately calculate ‖ e i k · x ‖ M (B p , ∞ 0 , b (R n)) , k ∈ Z n , in this situation. The novelty of this article is that most of the proofs are constructive and these constructions strongly depend on the logarithmic structure of Besov spaces under consideration. [ABSTRACT FROM AUTHOR]

The eco-agricultural park is a new comprehensive agricultural technology system integrating agricultural production, rural economic development, ecological environment protection, and efficient resource utilization. Therefore, an in-depth analysis of the ecosystem structure of eco-agricultural parks will help achieve the goal of coordinated symbiosis between human development and environmental protection. This study takes the research area of the Eco-agricultural Park of Jinchuan Town, Huinan County, a typical town in the Changbai Mountains of Northeast China. Based on field surveys, market research, farmer consultation, and related data collection, emergy theory and methods are used to construct an emergy model for the park. The value evaluation index system integrates the unique emergy index of the agricultural ecosystem with the traditional emergy index system to conduct a targeted evaluation of the park's functional structure and sustainable development capabilities in order to improve the efficiency of material and energy use and provide technical reference for ecological construction and comprehensive development of agricultural industry in mountainous areas in northern China. The research results show that: (1) The annual input total emergy of the eco-agricultural park is 4.04E+24 sej/a, and the emergy of labor input, electricity input, and topsoil loss is relatively high. The park is in a labor-intensive stage. The annual output total emergy is 5.09E+24 sej/a, the park is dominated by planting and forestry industries. (2) The park's emergy utilization intensity is high—production efficiency is high, economic development is advanced, and the system's self-control, adjustment, and feedback functions are vital—and plays a significant role in promoting the development of the regional economy. However, the park relies more on investment from external resources, and production in the park puts pressure on the environment. (3) The current sustainable development capability of the study area is weak, and the factors affecting the sustainable development capability are mainly energy loss and uneven distribution of industrial areas in the park. Effective measures to promote the transformation of the park to develop technology-intensive industries and improve the sustainable development performance of the park were proposed. These include: adjusting the proportion of industries in the park; reducing high-energy external input emergy, such as industrial auxiliary emergy; reducing the loss of non-renewable natural resources through ecological engineering measures, such as reducing the depth of slope runoff in the park; and combining modern resource-based production technology and environmentally sound management methods to reduce energy loss and rational use of natural resources. [ABSTRACT FROM AUTHOR]

Drip irrigation with brackish water increases the risk of soil salinization while alleviating water shortage in arid areas. In order to alleviate soil salinity stress on crops, polymer soil amendments are increasingly used. But the regulation mechanism of a polymer soil amendment composed of polyacrylamide polyvinyl alcohol, and manganese sulfate (PPM) on rapeseed photosynthesis under drip irrigation with different types of brackish water is still unclear. In this field study, PPM was applied to study the responses of the rapeseed (Brassica napus L.) phenotype, photosynthetic physiology, transcriptomics, and metabolomics at the peak flowering stage under drip irrigation with water containing 6 g·L−1 NaCl (S) and Na2CO3 (A). The results showed that the inhibitory effect of the A treatment on rapeseed photosynthesis was greater than that of the S treatment, which was reflected in the higher Na+ content (73.30%) and lower photosynthetic-fluorescence parameters (6.30–61.54%) and antioxidant enzyme activity (53.13–77.10%) of the A-treated plants. The application of PPM increased the biomass (63.03–75.91%), photosynthetic parameters (10.55–34.06%), chlorophyll fluorescence parameters (33.83–62.52%), leaf pigment content (10.30–187.73%), and antioxidant enzyme activity (28.37–198.57%) under S and A treatments. However, the difference is that under the S treatment, PPM regulated the sulfur metabolism, carbon fixation and carbon metabolism pathways in rapeseed leaves. And it also regulated the photosynthesis-, oxidative phosphorylation-, and TCA cycle-related metabolic pathways in rapeseed leaves under A treatment. This study will provide new insights for the application of polymer materials to tackle the salinity stress on crops caused by drip irrigation with brackish water, and solve the difficulty in brackish water utilization. [ABSTRACT FROM AUTHOR]

Multimode fiber (MMF) which supports parallel transmission of spatially distributed information is a promising platform for remote imaging and capacity-enhanced optical communication. However, the variability of the scattering MMF channel poses a challenge for achieving long-term accurate transmission over long distances, of which static optical propagation modeling with calibrated transmission matrix or data-driven learning will inevitably degenerate. In this paper, we present a self-supervised dynamic learning approach that achieves long-term, high-fidelity transmission of arbitrary optical fields through unstabilized MMFs. Multiple networks carrying both long- and short-term memory of the propagation model variations are adaptively updated and ensembled to achieve robust image recovery. We demonstrate >99.9% accuracy in the transmission of 1024 spatial degree-of-freedom over 1 km length MMFs lasting over 1000 seconds. The long-term high-fidelity capability enables compressive encoded transfer of high-resolution video with orders of throughput enhancement, offering insights for artificial intelligence promoted diffusive spatial transmission in practical applications. This work introduces a cutting-edge technique to overcome dynamic scattering challenges in long-distance multimode fiber transmission, achieving >99.9% accuracy for 1024 modes over 1 km, hence promises applications in diverse scattering scenarios. [ABSTRACT FROM AUTHOR]

With the increasing environmental requirements for improving products and materials using renewable and sustainable resources, cellulose has been seen as one of the most attractive and promising alternatives to traditional inorganic fillers. We developed a new modification method to improve the interface compatibility between natural rubber and sisal cellulose, to improve the mechanical and thermal conductivity properties of rubber composite. Microcrystalline cellulose (MCC) was extracted from sisal cellulose and then the hydrophobic cellulose (SA‐MCC) was prepared by grafting stearic acid on the surface of MCC. MCC and SA‐MCC were added to the thermal conductivity composite material composed of natural rubber and boron nitride. The results showed that the thermal conductivity and tensile properties of the natural rubber composites increased by 17.3% and 20%, respectively, under the addition of 1.8 wt% SA‐MCC. Furthermore, the interfacial interaction between the components in the composite was studied by molecular dynamics simulation. The solubility parameters, free volume fraction, and molecular binding energy were calculated to verify the effectiveness of the modification. This work is expected to provide a theoretical basis for the design and preparation of high‐performance natural rubber composite materials. Highlights: Cellulose microcrystals were successfully extracted from sisal fiber and modified.Through the combination of boron nitride and the modified cellulose microcrystals, the thermal conductivity and tensile properties of thermal rubber were successfully improved synchronously.A reasonable molecular simulation model was established to analysis the strengthening mechanism from the microscopic point of view.The molecular simulation conclusions on interface enhancement are in good agreement with the experimental properties. [ABSTRACT FROM AUTHOR]

A novel method to prepare asymmetric amine ethers is reported. Tertiary amine alcohol hydrogen sulfate intermediates are prepared through a reactive distillation process, followed by the transesterification process to afford eventually asymmetric amine ethers. Experiments and DFT calculations revealed the essential roles the sulfate group plays in the highly selective monoesterification process. This clean method is tolerant towards various functional groups with good yields under mild condition, which is obviously superior compared to the conventional processes. [ABSTRACT FROM AUTHOR]

Summary: Gray leaf spot (GLS) caused by Cercospora zeina or C. zeae‐maydis is a major maize disease throughout the world. Although more than 100 QTLs resistant against GLS have been identified, very few of them have been cloned.Here, we identified a major resistance QTL against GLS, qRglsSB, explaining 58.42% phenotypic variation in SB12×SA101 BC1F1 population. By fine‐mapping, it was narrowed down into a 928 kb region. By using transgenic lines, mutants and complementation lines, it was confirmed that the ZmWAK02 gene, encoding an RD wall‐associated kinase, is the responsible gene in qRglsSB resistant against GLS.The introgression of the ZmWAK02 gene into hybrid lines significantly improves their grain yield in the presence of GLS pressure and does not reduce their grain yield in the absence of GLS.In summary, we cloned a gene, ZmWAK02, conferring large effect of GLS resistance and confirmed its great value in maize breeding. [ABSTRACT FROM AUTHOR]

SWEET, sugars will eventually be exported transporter, is a novel class of sugar transporter proteins that can transport sugars across membranes down a concentration gradient. It plays a key role in plant photosynthetic assimilates, phloem loading, nectar secretion from nectar glands, seed grouting, pollen development, pathogen interactions, and adversity regulation, and has received widespread attention in recent years. To date, systematic analysis of the SWEET family in Zantedeschia has not been documented, although the genome has been reported in Zantedeschia elliottiana. In this study, 19 ZeSWEET genes were genome-wide identified in Z. elliottiana, and unevenly located in 10 chromosomes. They were further clustered into four clades by a phylogenetic tree, and almost every clade has its own unique motifs. Synthetic analysis confirmed two pairs of segmental duplication events of ZeSWEET genes. Heatmaps of tissue-specific and Pectobacterium carotovora subsp. Carotovora (Pcc) infection showed that ZeSWEET genes had different expression patterns, so SWEETs may play widely varying roles in development and stress tolerance in Zantedeschia. Moreover, quantitative reverse transcription-PCR (qRT-PCR) analysis revealed that some of the ZeSWEETs responded to Pcc infection, among which eight genes were significantly upregulated and six genes were significantly downregulated, revealing their potential functions in response to Pcc infection. The promoter sequences of ZeSWEETs contained 51 different types of the 1380 cis-regulatory elements, and each ZeSWEET gene contained at least two phytohormone responsive elements and one stress response element. In addition, a subcellular localization study indicated that ZeSWEET07 and ZeSWEET18 were found to be localized to the plasma membrane. These findings provide insights into the characteristics of SWEET genes and contribute to future studies on the functional characteristics of ZeSWEET genes, and then improve Pcc infection tolerance in Zantedeschia through molecular breeding. [ABSTRACT FROM AUTHOR]

In this study, the combustion experiments were carried out in a simultaneous thermogravimetric analyzer and in an oxidizing atmosphere at four heating rates of 5, 10, 15, and 20 °C/min, respectively. The thermal decomposition kinetics of pyrolysis char of torrefied treatment (T-P-char) from camellia shell were invested by the isoconversional methods of Friedman and Ozawa. The results showed that the correlation coefficients of the experiment data fitting were all over 0.99, and both the average values of activation energy and pre-exponential from Ozawa were higher than those of Friedman method. The enthalpy analysis indicated that the energy difference between the activated complex and the reagent was consistent with activation energy. The Gibbs free energy changed from 185.08 kJ/mol to 204.87 kJ/mol, and the entropy changes were negative, implying that the disorder degree of the products was lower than that of the initial reactants. Moreover, the reaction mechanism transformed from the random nucleation and growth reaction to the nth order reaction when the pyrolysis temperature exceeded 450 °C. [ABSTRACT FROM AUTHOR]

As a biodegradable and renewable polymer with excellent physical and chemical properties, cellulose occupies an important position in the preparation of environmentally friendly bio-based composite materials. In this study, microcrystalline cellulose (MCC) was extracted from sisal and modified using 3-isocyanatopropyltrimethoxysilane (IPMS) to obtain MCC-g, which was used to partially replace silicon dioxide (SD) in natural rubber (NR) composites. Modification reduced hydroxyl groups on the surface of cellulose and introduced aliphatic chains, which enhanced the interfacial interaction between MCC-g and NR. Experimental characterization and molecular dynamics simulation results demonstrated that this modification method effectively improved both MCC dispersion in the NR matrix and interfacial bonding. When MCC-g replaced up to 50% of SD at a filler loading of 20 phr, the mechanical properties of the composites were maintained or enhanced. Notably, the hardness, tensile strength, tear strength, and 100% tensile strength of the composites exhibited increases of 11.11%, 15.74%, 20.71%, and 43.95%, respectively. This behavior indicates that the partial substitution of SD by MCC-g has a strengthening effect on NR composites. These findings provide new design ideas for cellulose surface modification and broaden the applicability in preparing green composites. [ABSTRACT FROM AUTHOR]

In this paper, we study the rough fractional Hausdorff operator on variable exponent Morrey–Herz spaces in the setting of the Heisenberg group. We define Morrey–Herz spaces with three variable exponents and then give sufficient and necessary conditions for the boundedness of the rough fractional Hausdorff operator. [ABSTRACT FROM AUTHOR]

Seam tracking technology is an important part of the intelligent welding field. In this paper, a laser vision-based real-time seam tracking system was built. The system consists of a self-developed laser vision sensor, a six-axis robot, a gas metal arc welding system, and an industrial computer. After building the system, the system calibration was performed. During the seam tracking, the arc light, spatter, and other welding noise have a negative impact on the image processing algorithm to extract the weld feature points, and even lead to system drift and algorithm failure. To this end, a two-stage extraction and restoration model (ERM) was proposed for processing real-time welding images to improve the robustness and accuracy of the seam tracking system. In the ERM, the region of interest was first detected and extracted by the YOLOv5s model, then the extracted images were restored by the conditional generation adversarial network. After using the ERM model, a series of image processing was performed to obtain the coordinates of the weld feature points. The total time consumed by the algorithm is 37 ms per frame on average, which meets the real-time requirement. Moreover, the experimental results show that the seam tracking system based on the ERM can achieve real-time tracking for different types of planar V-bevel welds, and the average error is 0.21 mm, which meets the requirements for actual welding. [ABSTRACT FROM AUTHOR]

The year 2010 was an important turning point for China's economy, and the digital economy has become its new feature. In the digital economy wave, digital transformation and innovation are two essential starting points for enterprise development. Few studies have examined the effect of companies' digital transformation on disruptive innovation, neglecting the role of entrepreneurship. This study aims to address this research gap by developing an analytical framework for digital transformation, entrepreneurship, and disruptive innovation. Based on China's A-listed firms from 2010 to 2021, we use Python to create indicators for digital transformation and examine its impact on disruptive innovation and the role of entrepreneurship using a double fixed-effects model. The results demonstrate that digital transformation significantly promotes disruptive innovation, and entrepreneurship positively moderates this relationship. Furthermore, heterogeneity analyses show that digital transformation's positive effects of disruptive innovation and entrepreneurship are more pronounced in non-SOEs, companies in growth and decline stages, and nonmanufacturing companies. However, in SOEs and manufacturing firms, entrepreneurship was unable to moderate this relationship. The conclusions reflect the exploration of the realization mechanism and micro-foundations of the current, in-depth digital transformations, and the findings provide reference guidelines for enabling enterprises to realize digital transformation and disruptive innovation and, relevant experiences. [ABSTRACT FROM AUTHOR]

Cationic polyacrylate latex has attracted extensive attention due to its special properties and potential applications in wood primers, metal coatings, and fabric treatments, etc. However, cationic polyacrylate latex has poor durability and stability, which limits its use in practical applications. In this study, a functional cationic monomer (3-chloro-2-hydroxypropyl) dimethyl [2-[(2-methyl-1-oxoallyl)oxy]ethyl] ammonium chloride (DEAC) was combined with two conventional monomers of methyl methacrylate (MMA) and butyl acrylate (BA) to prepare cationic polyacrylate latex by a semi-continuous emulsion polymerization. The obtained latexes showed typical cationic character with zeta potential in the range of + 40 to + 65 mV. The effect of DEAC on the stability of latex was studied and good alkali resistance could be gained at high DEAC content. Water resistance and mechanical properties of the film before and after crosslinking are studied in detail. The results showed that the water absorption reduced from 60.04% to a minimum of 9.18%, and the tensile strength increased from 3.9 to 8.4 MPa, which was comparable to solvent-based polyacrylate films. This work provides a new strategy for the preparation of waterborne cationic polyacrylate latex with improved water resistance and good mechanical properties, etc., which can be applied in papermaking, textiles, wood primers, and other potential fields. [ABSTRACT FROM AUTHOR]

This paper investigates the hidden Markov model-based finite-time synchronization problem for discrete-time fuzzy jumping neural networks with input constraints. To cope with the fact that obtaining system mode information is difficult normally, a general case when either transition probabilities or observation probabilities of jumping processes are assumed to be partially known is taken into account. Furthermore, the input constraints which may lead to the failure of the presented designed method are also considered. Based on this, a finite-time synchronization criterion is established by using the observation signal, and an effective control scheme with less conservatism is given with the help of the activation function division method and hidden Markov model-based method. Finally, an example is used to demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Fluorescence probe technology holds great promise in the application of trace explosive detection due to its high sensitivity, fast response speed, good selectivity, and low cost. In this work, a designed approach has been employed to prepare the TPE-PA-8 molecule, utilizing the classic aggregation-induced emission (AIE) property of 1,1,2,2-tetraphenylethene (TPE), for the development of self-assembled monolayers (SAMs) targeting the detection of trace nitroaromatic compound (NAC) explosives. The phosphoric acid acts as an anchoring unit, connecting to TPE through an alkyl chain of eight molecules, which has been found to play a crucial role in promoting the aggregation of TPE luminogens, leading to the enhanced light-emission property and sensing performance of SAMs. The SAMs assembled on Al2O3-deposited fiber film exhibit remarkable detection performances, with detection limits of 0.68 ppm, 1.68 ppm, and 2.5 ppm for trinitrotoluene, dinitrotoluene, and nitrobenzene, respectively. This work provides a candidate for the design and fabrication of flexible sensors possessing the high-performance and user-friendly detection of trace NACs. [ABSTRACT FROM AUTHOR]

How to effectively and economically estimate the occurrence of sandstone-type uranium deposits in deep metallogenic environments considering the high costs of drilling methods has troubled the uranium geologists for a long time. To address this, we developed a novel workflow using a combination of clustering and neural networks in seismic attributes (SA) analysis to characterize uranium-bearing environments in directly predicting uranium zones. In the workflow, PCA and a clustering method for SA analysis in the target layer were first used to predict favorable zones for uranium; second, supervised neural networks were utilized for quantitative estimation of gamma volume, with subsequent delineation of the zones with high gamma anomalies; finally, results from the two processes were examined for mutual intersection, and intersection results with ordinal ranking of A and B were then extracted. In practical application, several A-level and B-level regions were predicted, which represent very high U-mineralization potential and significant potential, respectively. The prediction results were then essentially verified by logging data of the study area. We consider our developed approach to be a reasonably cost-effective technique for uranium-bearing environment prediction as it can yield useful suggestions for drilling programs with significantly reduced cost and prospecting risk. [ABSTRACT FROM AUTHOR]

The accurate calculation of the contribution which provided by clay minerals in coal on methane adsorption not only bares a significant importance for evaluating the effectiveness of acid stimulation in improving permeability and estimating the coalbed methane reserves but also serves a guide for the governance and utilization of methane resources. In this study, hydrochloric acid (HCl) and hydrofluoric acid (HF) were used to remove specific minerals in Qingdong coal samples. We firstly analyzed the mineral compositions of coal samples with different acidification treatments based on the X-ray diffraction (XRD) experiments, together with analysis of the changes in pore morphology and adsorption capacity. The results showed that acidification did not significantly change the shape of the pores, which remained slit-/plate-like pore. However, the altered adsorption capacity of the coal samples was attributed to changes in pore structure and mineral distribution. Acid erosion of mesopores promoted the transition from mesopores to macropores, contributing to an increase of 8.4% and 24.36% in the percentage of macropores in coal samples treated with HCl and HF, respectively. Fractal dimension D1 grew from 2.2193 to 2.3888 and 2.2572, respectively, but D2 decreased from 2.6146 to 2.5814 and 2.5433, indicating an increment in pore surface roughness and a simplification of the pore structure. The mineral richness of the coal seams should be taken into consideration when applying acid stimulation to increase permeability due to that the acidification products may block the passage of gas migration when the mineral content is slight, which can hinder gas extraction. The aim of this study is to quantitatively determine the contribution rate of clay minerals in coal to methane adsorption with a calculation method is provided by combining pore parameters and limit adsorption capacity, resulting in a contribution rate of 15%. [ABSTRACT FROM AUTHOR]