Search Results (814)

Frequent coal mine gas disasters pose significant threats to the safety of miners and the continuity of coal mining operations. Understanding and mastering the patterns of gas occurrence is the foundation for controlling gas outbursts. This study, drawing on previous theories, research, and practical coal mine production data, analyzes the structural characteristics of the Kaiping syncline, with particular emphasis on the structural differentiation at its northeastern uplifted end. The study examines how gas generation and storage are influenced by progressively layered structures and their effect on coal mine gas management. The results indicate that the Kaiping syncline has a NE-SW axial orientation, which gradually shifts to an asymmetric syncline with a nearly EW trend, rising towards the northeastern end. At the turning end, the strata on the northwest limb are steep—locally vertical or overturned—gradually transitioning into the gentler southeast limb with dips of 10° to 30°, further complicated by a series of sub-parallel secondary folds. The gas formation process in coal seams has undergone multiple stages, regulated by structural burial and thermal evolution. The current gas storage characteristics result from the combined effects of these structural factors. The Kaiping syncline can be divided into two gas zones: a high-gas zone in the northwest limb and a shallow low-gas zone paired with a deep high-gas zone in the southeast limb. At the turning end, structural differentiation results in significant variations and gradations in the gas storage conditions of the coal seam. This differentiation directly causes a transition from coal and gas outburst mines in the northwest limb to low-gas mines in the southeast limb, highlighting the significant influence of structural factors on gas generation, preservation, and mine gas emissions. This study integrates theoretical analysis with measured data to enhance the understanding of structural evolution and its influence on gas storage. It offers guidance for preventing coal seam gas disasters and ensuring the safe production of coal mines in the Kaiping coalfield. Full article

The mitigating effects of straw burning bans on air pollution are widely known; however, their effects on indoor air pollution are generally ignored. Cooking fuel use is an important factor that affects indoor air quality. However, the debate over the pros and cons of a province-wide ban on straw burning has been a major issue in environmental economics. By utilizing household survey data, this study investigates the role of straw burning bans on cooking fuel use in households. To infer causal relationships, difference-in-difference models that compare households in provinces with and without a complete ban on open straw burning (COSB) are employed. The results show that COSBs promote the use of clean cooking fuels and discourage the use of firewood for cooking by households. These results hold true after a series of robustness tests, such as parallel trends and placebo tests. However, the results show that the effect of COSBs on the household use of coal as a cooking fuel is not significant. Further analysis shows heterogeneity in the effects of COSBs on the use of household cooking fuels. Thus, COSBs promote the conversion to cleaner cooking fuels in rural households, but the implementation of these policies needs to be contextualized. Full article

Parallel to the growing evidence about the efficiency of Nature-based Solutions (NbS) in sanitation, there is a growing need to highlight the co-benefits of these solutions compared to conventional alternatives. This study focuses on economically valuing these co-benefits, with constructed wetlands (CWs) examined as a sanitation solution. The contingent valuation (CV) method has been utilized for this purpose, measuring people’s willingness to pay (WTP) and willingness to accept (WTA) CWs as a sanitation solution. Jordan has been selected as a case study due to the country’s preference for sustainable, cost-efficient solutions. By utilizing extended questionnaires at the stakeholder and community levels, this research aims to identify gaps between these groups’ perspectives on CWs. Additionally, this study investigates the main factors affecting communities’ WTP and WTA. The collected data were analyzed using descriptive statistics for the responses, followed by the CV method, and regression analysis to understand the main factors affecting WTP and WTA. The results are intended to guide decision-makers in developing programs that align with community preferences and address gaps in the acceptance of NbS-CWs. The main results found that while stakeholders have concerns about people’s WTA CWs, the community survey revealed that people prefer CWs over conventional solutions. The findings revealed that 78.9% of respondents were willing to accept (WTA) CWs to treat wastewater in their town, but only 33% WTA having CW near their households. Meanwhile, 53.2% were willing to pay (WTP) for CWs in general, while 80.7% are willing to accept (WTP) using CWs to treat greywater at the household level and 56.9% of the respondents are WTP for that. Full article

Circulating current suppression can effectively improve the reliability and redundancy of parallel inverter systems. The mechanism and influencing factors of the low- and high-frequency zero-sequence circulating current (ZSCC) are analyzed in this study. Based on a mechanism analysis and the built mathematical model, the composite control strategy of zero-sequence voltage difference (ZSVD) compensation and virtual inductance is proposed to suppress the low- and high-frequency ZSCC. In the composite control strategy, the low-frequency ZCSS (LF-ZCSS) is suppressed by the ZSVD compensation method, and the HF-ZCSS is suppressed by the virtual inductance method. The ZSVD compensation is incorporated into the SVPWM as an input to regulate the modulation and suppress the LF-ZCSS, and virtual inductance is introduced into the current control loop to suppress the HF-ZCSS. A parallel system prototype composed of two 6 kW inverters is constructed. The experiments show that the ZSCC of the parallel system is reduced by 45%, which verifies the effectiveness of the proposed composite control strategy. Full article

In addition to chronic hrHPV anogenital infection, continuing inflammatory cervical changes are intrinsic in the development of precancerous lesions. In younger women, much of this inflammatory background parallels the progressive maturation of squamous metaplasia, often rendering treatment interventions redundant; however, patients with persistent cervical precancer, as well as those harboring invasive bacterial pathogens, might benefit from controlling the active inflammatory process by shortening the HPV natural cycle and avoiding subsequent cervical surgery. In a colposcopy population of 336 predominantly young asymptomatic individuals, we explored the impact of molecularly detected bacterial STIs on HPV DNA and APTIMA positivity rates using validated assays. In the multivariable analysis, several largely anticipated epidemiological factors were related to STI positivity. In this cohort, the HPV DNA test illustrated better performance for the prediction of STI positivity than the corresponding APTIMA test (sensitivity 52.94% vs. 33.82%), while inversely, the APTIMA test was more indicative of bacterial STI negativity than the HPV DNA test (specificity 77% vs. 60%). In addition, no significant differences between these two molecular assays were documented in terms of PPV, NPV, and overall accuracy. Despite the high Ureaplasma urealyticum and low Chlamydia trachomatis prevalence recorded in this study’s population, which is among the first assessing the co-variation of bacterial STI expression with established HPV biomarkers, the APTIMA assay did not predict concurrent bacterial STIs superiorly compared with an established HPV DNA assay. Full article

Tick eggs contain a series of proteins that play important roles in egg development. A thorough characterization of egg protein expression throughout development is essential for understanding tick embryogenesis and for screening candidate molecules to develop novel interventions. In this study, eggs at four developmental stages (0, 7, 14, and 21 incubation days) were collected, and their protein extraction was profiled using sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE). On the first day of egg protein extraction, protein bands from day-1 eggs were re-collected and subsequently analyzed using liquid chromatography–tandem mass spectrometry (LC-MS/MS). The dynamic changes in forty egg proteins during development were further investigated using LC-parallel reaction monitoring (PRM)/MS analysis. A total of 108 transcripts were detected in day-1 eggs. Based on protein functions and families, these transcripts were classified into eight categories: transporters, enzymes, immunity and antimicrobial proteins, proteinase inhibitors, cytoskeletal proteins, heat shock proteins, secreted proteins, and uncharacterized proteins. Identification of the protein bands revealed that nine bands predominantly consisted of vitellogenin and vitellin-A, while other notable proteins included cathepsins and Kunitz domain-containing proteins. LC-PRM/MS analysis indicated that 28 transcripts increased significantly in abundance, including 13/18 enzymes, 1/1 antimicrobial peptide, 2/2 neutrophil elastase inhibitors, 3/4 vitellogenins, 3/3 heat shock proteins, 3/3 cytoskeletal proteins, 1/1 elongation factor-1, and 1/1 uncharacterized protein. Conversely, five transcripts showed a decrease significantly, including 1/1 Kunitz domain-containing protein, 2/6 aspartic proteases, and 2/5 serpins. This research provides a comprehensive overview of egg proteins and highlights the dynamic changes in protein expression during embryonic development, which may be pivotal for understanding protein functions and selecting potential candidates for further study. Full article

High-efficiency non-isolated converters play a predominant role in electric vehicle on-board chargers to enhance the sustainability of EV charging stations. A novel single-switch configuration connected in a new parallel structure offering a higher efficiency than recently reported topologies is introduced in this article. A PV source powered single switch–switched capacitor–single inductor (SS–SC–SL) arrangement employing an intelligent, robust controller (MPC) is proposed to build a sustainable framework for electric vehicles. Notable features of this topology include improved voltage regulation, a high output gain, and maintaining a ripple-free continuous load current at a nominal duty cycle range which is commonly applicable for electric vehicle on-board chargers. In addition, several factors are included, as follows: design considerations, theoretical analysis, converter performance in CCM, and comparison with existing configurations. The converter simulation results are executed using the MATLAB software 2022a, and to verify the system performance, an experimental setup of 150 W is built and tested. The hardware results of a higher efficiency at 96.9% and a ripple-less continuous load current are achieved and validated in the laboratory. Full article

Fly ash derived from the incineration of garbage is known to contain hazardous materials that can affect the growth of plants and animals and pose a threat to human health. In this study, we explored how treatment of fly ash leachate with microalgae could alter the properties of dissolved organic matter (DOM). Fly ash leachate samples obtained from a landfill site in Wenzhou were treated with the microalgae Chlorella vulgaris or Scenedesmus obliquus without and with the addition of ammonium ferric citrate (C₆H₈FeNO₇) for 24 days, and changes in DOM levels and types were measured using excitation emission matrix fluorescence technology. The following results were obtained: Analysis of three-dimensional fluorescence spectral indices indicated that the algal treatment process consistently generated new autogenous DOM, with most of the organic matter being newly formed. Additional nutrients had a minor effect on the production and composition of DOM in the system. Using a parallel factor model to analyze the three-dimensional fluorescence spectral matrices of water samples from various systems revealed common components in each group, including arginine, tryptophan-like proteins and fulvic acid-like substances. This study aimed to explore the changes in DOM properties during microalgae treatment of fly ash leachate from the perspective of three-dimensional fluorescence. Full article

Bone meal has been used as economic and effective additive for heavy metals (HMs) pollution remediation due to the distinct components and structures that enable their favorable properties, such as its low cost, high adsorption capacity, acid-base adjustability, and ion-exchange capability. However, no attempt has been made to establish whether cow bone could promote the passivation of HMs and the removal of metal resistance genes (MRGs) and antibiotics resistance genes (ARGs) during the composting process. Two sizes of cow bone (meal (T2) and granule (T3)) were added to investigate their effects on humification, HMs passivation and the abundance of ARGs and MRGs during swine manure composting. Excitation-emission matrix (EEM)-parallel factor analysis showed that the percentage of maximum fluorescence intensity of humic-like substances were higher in T2 (91.82%) than in T3 (88.46%), implying that T2 could promote the humification process compared to T3. In comparison with control (T1), the addition of T2 and T3 could promote the change of exchangeable Cu and reducible Cu into oxidizable Cu, thus reducing the mobility factors (MF) of Cu in T2 and T3 treatments by 10.48% and 6.98%, respectively. In addition, T2 and T3 could increase exchangeable Zn into reducible Zn and oxidizable Zn, thereby reducing the MF of Zn in T2 and T3 treatments by 18.80% and 2.0%, respectively. Quantitative Real-time PCR (qPCR) analysis revealed that the total abundances of MRGs were decreased by 100% in T2 and T3 treatments, and T2 decreased the total relative abundance of ARGs. Furthermore, the relative abundance of ARGs and MRGs had significantly correlated with intI1 and bio-available of Cu and Zn, which was triggered by selective pressure of HMs and horizontal gene transfer. The present study suggested that cow bone meal as additives can be a feasible approach to promote the passivation of HMs and enhance the removal of MGRs and ARGs by decreasing horizontal gene transfer and selective pressure by bioavailable HMs. Full article

Multimodal medical image segmentation is challenging due to feature heterogeneity across modalities and the presence of modality-specific noise and artifacts. These factors hinder the effective capture and fusion of information, limiting the performance of existing methods. This paper introduces KARAN, a novel end-to-end deep learning model designed to overcome these limitations. KARAN improves feature representation and robustness to intermodal variations through two key innovations: First, KA-MLA, a novel attention block incorporating State Space Model (SSM) and Kolmogorov–Arnold Network (KAN) characteristics into Transformer blocks for efficient, discriminative feature extraction from heterogeneous modalities. Building on KA-MLA, we propose KA-MPE for multi-path parallel feature extraction to avoid multimodal feature entanglement. Second, RanPyramid leverages random convolutions to enhance modality appearance learning, mitigating the impact of noise and artifacts while improving feature fusion. It comprises two components: an Appearance Generator, creating diverse visual appearances, and an Appearance Adjuster, dynamically modulating their weights to optimize model performance. KARAN achieves high segmentation accuracy with lower computational complexity on two publicly available datasets, highlighting its potential to significantly advance medical image analysis. Full article

Air conditioning (AC) is an important component of building energy consumption. Reducing building AC energy consumption has attracted significant research interest worldwide. Studies have shown that the AC control behavior of users is a key factor affecting building AC energy consumption; however, the existing research on the dynamic laws for the AC control behavioral changes of users over a long period is limited. Therefore, taking a typical open office as an example, this study collected measured data spanning different years, and explored the temporal variation characteristics of AC operating behavior in office buildings. Based on a dynamic model framework constructed with a three-parameter Weibull function and a time superposition function, this study conducted modeling and analysis of dynamic AC operating behaviors in the same open-plan office across different years. First, the AC operating behavioral model was trained in parallel using field measurement data from different years to quantitatively analyze the patterns and extent of changes in occupants’ AC operating behaviors. Subsequently, AC operating data from a fixed year was used as a test set to examine the impact of behavior changes on the prediction accuracy of the AC operating behavioral model through indicators such as open rate, on–off profiles, confusion matrices, and open rate under different time periods/temperatures. Results indicate that, due to behavioral changes, the maximum difference in the probability of AC opening under the same temperature can reach 96.8%. These behavior changes occur not only in varying intensity but also function as influencing factors. If behavior changes are ignored, prediction accuracy for AC open rates decreases by approximately 15%. This study reveals a method for dynamically adjusting the AC operating behavior model and improving its accuracy, which can significantly improve the accuracy of AC operating behavior modeling, the practical application effect of the behavior model, and reduce the energy consumption and carbon emissions of buildings. Full article

Alzheimer’s disease (AD) is a multifactorial brain disorder and infectious diseases are considered as one of the predisposing factors for AD. Toxoplasma gondii, an obligate intracellular parasitic protozoan, is suspected of being associated with AD. Serum samples were collected from 109 AD patients and 114 age-matched healthy controls. ELISA was performed using recombinant T. gondii cyst wall protein 1 (CST1) to detect T. gondii antibodies. A parallel experiment was performed with Toxoplasma gondii tachyzoites lysate protein. To analyze whether factors associated with the onset of AD included chronic T. gondii infection, a multivariate logistic regression model was applied, further validating the correlation between chronic T. gondii infection and AD. AD patients exhibited significantly higher levels of Toxoplasma-specific antibodies in their serum compared to the control group, with statistically significant differences (p < 0.05). Multivariate logistic regression analysis revealed that Toxoplasma infection is a risk factor for AD (p < 0.01), and the CST1 antigen can significantly improve the model’s performance in predicting the occurrence of AD. The results indicate that chronic infection with Toxoplasma gondii could be one of the risk factors for the development of AD, potentially predisposing individuals with underlying health conditions to the disease. This further validates the correlation between Toxoplasma gondii and AD. Full article

Background: Despite the high non-communicable disease (NCD) mortality in Ethiopia, NCD screening in the country remains suboptimal. This study assessed the health communication process and materials designed to promote NCD screening among adult primary healthcare facility attendants in the Gurage Zone, Ethiopia. Methods: A parallel mixed-methods approach was employed. Seven health communication materials were evaluated using the Modified Clear Communication Index Score by the Center for Disease Control and Prevention (CDC). Seven key informants who were involved in the production were interviewed to explore the process. Users’ satisfaction with the materials was assessed through a cross-sectional survey (N = 412). We used multivariable logistic regression with SPSS version 27 software to determine the factors associated with users’ satisfaction. Thematic analysis was applied for the qualitative data analysis using Opencode 4.03 software. Results: Qualitative interviews indicated that the production process relied on evidence, involved stakeholders, and included pretesting. The CDC index score revealed that five of the seven materials were considered clear and user-friendly, whereas two required improvement. Overall users’ satisfaction with the material was high with a mean score of 22.10 (SD ± 2.34; min: 14, max: 25). Age and educational status had significant positive association with users’ satisfaction. Conclusions: Developing health communication materials on promoting NCD screening based on evidence, stakeholders’ input, and pretesting can lead to good quality material and user satisfaction. We recommend future research works to measure changes in NCD screening service uptake as a result of using the health communication materials considered in this study. Full article

High-temperature (HT) stress frequently affects the early and middle stages of grain filling in hybrid seed production regions. Photo-thermo-sensitive male-sterile (PTMS) wheat lines, which play a critical role as female parents in hybrid seed production, face challenges under HT conditions. However, the mechanisms governing grain filling in PTMS lines under HT stress remain poorly understood. This study used the BS253 line to investigate the effects of HT on grain filling, primarily focusing on the transition from sucrose unloading to starch synthesis. The findings indicated that HT significantly reduced the grain starch content and weight by 7.65% and 36.35% at maturity, respectively. Further analysis revealed that the expression levels of TaSUT1 and TaSWEETs in grains initially increased after HT stress, paralleling the rise in sucrose content during the same period. The activities of ADP-glucose pyrophosphorylase, UDP-glucose pyrophosphorylase, granule-bound starch synthase, and soluble starch synthase were markedly decreased, indicating that impaired starch synthesis was a key factor limiting grain filling immediately after HT exposure. A total of 41 key regulatory genes involved in sucrose-to-starch metabolism were identified, with HT significantly reducing the expression of genes associated with pathways from sucrose unloading to starch synthesis during the middle and late stages post-HT. Based on the observed ultrastructural changes in the abdominal phloem and sucrose transporter expression levels under HT, we concluded that limited sucrose supply, degradation, and inhibition of starch synthesis collectively constrained grain filling during these stages. Additionally, 11 heat shock proteins and two catalase genes were identified and significantly upregulated during the initial phase post-HT, suggesting their potential role in enhancing sucrose supply at this critical time. More importantly, seven key genes involved in the sucrose-to-starch pathway were identified by weighted gene co-expression network analysis (WGCNA), which provides target genes for their functional research for starch synthase. These findings provide a comprehensive understanding of how HT limits grain filling, identify several genes involved in the sucrose-to-starch pathway, and offer a novel perspective for future research on HT-restricted grain filling across the entire process from sucrose unloading to starch synthesis in developing grains. Full article

To explore the causes and influencing factors of wind flow oscillations in high-temperature inclined aisles of deep wells under parallel upward ventilation, this study conducts a comprehensive investigation using theoretical analysis and numerical simulations. Based on the kinetic analysis of gas flow, a discriminant formula for wind flow reversal in the side branch is derived. Further analysis identifies initial wind speed and branch length as key factors influencing the reversal. Both gas pressure and thermal pressure contribute to wind flow reversal in the side branch, and the opposing directions of these pressures cause high-temperature gas to periodically flow between the two branches, resulting in wind flow oscillations. A higher initial wind speed can effectively reduce the oscillation amplitude due to increased initial kinetic energy and a larger pressure difference, but it does not extend the oscillation duration. Increasing the branch length can suppress wind flow oscillations by increasing airflow frictional resistance and damping. Full article