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Abstract Breast cancer (BC) is a prevalent form of cancer among women. Despite the emergence of numerous therapies over the past few decades, few have achieved the ideal therapeutic effect due to the heterogeneity of BC. Drug combination therapy is seen as a promising approach to cancer treatment. Traditional Chinese medicine (TCM), known for its multicomponent nature, has been validated for its anticancer properties, likely due to the synergy effect of the key components. However, identifying effective component combinations from TCM is challenging due to the vast combination possibilities and limited prior knowledge. This study aims to present a strategy for discovering synergistic compounds based on transcriptional regulation and chemical structure. First, BC-related gene sets were used to screen TCM-derived compound combinations guided by synergistic regulation. Then, machine learning models incorporating chemical structural features were established to identify potential compound combinations. Subsequently, the pair of honokiol and neochlorogenic acid was selected by integrating the results of compound combination screening. Finally, cell experiments were conducted to confirm the synergistic effect of the pair against BC. Overall, this study offers an integrated screening strategy to discover compound combinations of TCM against BC. The tumor cell suppression effect of the honokiol and neochlorogenic acid pair validated the effectiveness of the proposed strategy.

Programmed cell death ligand-1 (PD-L1) is a T cell inhibitory immune checkpoint molecule that interacts with programmed cell death-1 (PD-1) to promote immune escape of tumor cells. Compared with antibody therapies, small molecule drugs show better prospects due to their advantages such as higher bioavailability, better tissue penetration, and reduced risk of immunogenicity. Here, we found that the small molecule demethylzeylasteral (Dem) can significantly downregulate the expression of PD-L1 in colorectal cancer cells and enhance the killing effect of T cells on tumor cells. Mechanistically, Dem binds to the deubiquitinating enzyme USP22 and promotes its degradation, resulting in increased ubiquitination and degradation of PD-L1 through the proteasome pathway. In addition, Dem increased the activity of cytotoxic T cells and reduced the number of myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs) in tumor-infiltrating lymphocytes (TILs), thereby activating the tumor immune microenvironment and inhibiting the growth of subcutaneous MC38 tumors in C57BL/6 mice. Moreover, we also found that the combination of Dem and CTLA4 antibodies can further improve the efficacy of antitumor therapy. Our study reveals the mechanism by which Dem promotes PD-L1 degradation and suggests that the combination of Dem and CTLA4 antibodies may improve the efficacy of immunotherapy.

Abstract In clinical nursing, neonatal pain assessment is a challenging task for preventing and controlling the impact of pain on neonatal development. To reduce the adverse effects of repetitive painful treatments during hospitalization on newborns, we propose a novel method (namely pain concept-cognitive computing model, PainC3M) for evaluating facial pain in newborns. In the fusion system, we first improve the attention mechanism of vision transformer by revising the node encoding way, considering the spatial structure, edge and centrality of nodes, and then use its corresponding encoder as a feature extractor to comprehensively extract image features. Second, we introduce a concept-cognitive computing model as a classifier to evaluate the level of pain. Finally, we evaluate our PainC3M on various open pain data sets and a real clinical pain data stream, and the experimental results demonstrate that our PainC3M is very effective for dynamic classification and superior to other comparative models. It also provides a good approach for pain assessment of individuals with aphasia (or dementia).

In recent years, electric vehicle (EV) battery-swapping technology has rapidly evolved and is expected to become widely prevalent shortly. Therefore, it is crucial to develop efficient battery-swapping scheduling algorithms to optimize the operations of battery-swapping systems. This paper proposes a non-cooperative game approach for the battery-swapping scheduling of EVs. To reduce the waiting time for battery swapping and improve the scheduling efficiency of EVs, a swapping process model inspired by the job-shop scheduling problem is proposed, and the cost function of each EV comprehensively considers the travel time, waiting time, and battery swapping price. To capture the competitive relationship among EVs, a non-cooperative game model for battery swapping scheduling is established considering the finite quantities of batteries and swapping grippers. To find the pure strategy Nash equilibrium, an iterative best response algorithm is developed, satisfying constraints including those couple decisions of different EVs. Case studies demonstrate the fairness and scheduling efficiency of the proposed approach.

Abstract Background This study aimed to determine the median effective dose (ED50) and 95% effective dose (ED95) of nicardipine for treating pituitrin-induced hypertension during laparoscopic myomectomy, providing guidance for the management of intraoperative blood pressure in such patients. Methods Among the initial 40 participants assessed, 24 underwent elective laparoscopic myomectomy. A sequential up-and-down method was employed to ascertain the ED50 of nicardipine based on its antihypertensive efficacy. Nicardipine was initially administered at 6 µg/kg following the diagnosis of pituitrin-induced hypertension in the first patient. Dosing adjustments were made to achieve the desired antihypertensive effect, restoring systolic blood pressure and heart rate to within ± 20% of baseline within 120 s. The dosing increment or reduction was set at 0.5 µg/kg for effective or ineffective responses, respectively. The ED50 and ED95 of nicardipine were calculated using Probit regression by Maximum Likelihood Estimation (MLE) to establish dose-response curves and confidence intervals. Results 24 patients were included for analysis finally. The ED50 and ED95 of nicardipine for blood pressure control after pituitrin injection were determined. The study found that the ED50 of nicardipine for treating pituitrin-induced hypertension was 4.839 µg/kg (95% CI: 4.569–5.099 µg/kg), and the ED95 was estimated at 5.308 µg/kg (95% CI: 5.065–6.496 µg/kg). Nicardipine effectively mitigated the hypertensive response caused by pituitrin without inducing significant tachycardia or hypotension. Conclusions Nicardipine effectively controlled blood pressure after pituitrin injection during laparoscopic myomectomy, with ED50 and ED95 values established. This research highlights the potential utility of nicardipine in addressing hypertensive responses induced by pituitrin, particularly in clinical settings where pituitrin is routinely administered.

The good mechanical characteristics of circuit breakers are essential to ensuring their safe and stable operation. The characteristic signals at the points of initial opening and closing contain abundant information about the mechanical–time characteristics of the circuit breaker. Existing online measurement methods for circuit breaker mechanical–time characteristics typically rely on monitoring the secondary current signals of the opening and closing coils, or the signals such as vibration, pressure, and angular displacement that are generated during the opening and closing of moving and stationary contacts. Unlike these conventional approaches, this paper proposes an online measurement method for circuit breaker mechanical–time characteristics based on feature extraction from transient voltage and current signals in the primary circuit. By extracting features from the transient voltage and current signals in the primary circuit, this method obtains mechanical–time characteristics such as the points of initial opening and closing. This method is convenient and stable, enabling the online detection of the mechanical characteristics of the circuit breaker. Finally, a comparison and analysis of the online measurement results with the offline measurement results were conducted. The analysis shows that the calculation error of the opening and closing times is within 0.2 ms. This online detection method has a high measurement accuracy and provides a new approach for the online measurement of the mechanical characteristics of circuit breakers.

Abstract Targeting the programmed cell death 1/programmed cell death ligand 1 (PD‐1/PD‐L1) pathway has been identified as a successful approach for tumor immunotherapy. Here, we identified that the small molecule 5,7,4′‐trimethoxyflavone (TF) from Kaempferia parviflora Wall reduces PD‐L1 expression in colorectal cancer cells and enhances the killing of tumor cells by T cells. Mechanistically, TF targets and stabilizes the ubiquitin ligase HMG‐CoA reductase degradation protein 1 (HRD1), thereby increasing the ubiquitination of PD‐L1 and promoting its degradation through the proteasome pathway. In mouse MC38 xenograft tumors, TF can activate tumor‐infiltrating T‐cell immunity and reduce the immunosuppressive infiltration of myeloid‐derived suppressor cells and regulatory T cells, thus exerting antitumor effects. Moreover, TF synergistically exerts antitumor immunity with CTLA‐4 antibody. This study provides new insights into the antitumor mechanism of TF and suggests that it may be a promising small molecule immune checkpoint modulator for cancer therapy.

Inter-Turn Short Circuit (ITSC) faults do not necessarily produce high temperatures but exhibit distinct heat distribution and characteristics. This paper proposes a novel fault diagnosis and identification scheme utilizing an improved You Look Only Once Vision 8 (YOLOv8) algorithm, enhanced with an infrared image slicing-aided hyper-inference (SAHI) technique, to automatically detect ITSC fault trajectories in dry-type transformers. The infrared image acquisition system gathers data on ITSC fault trajectories and captures images with varying contrast to enhance the robustness of the recognition model. Given that the fault trajectory constitutes a small portion of the overall infrared image and is subject to significant background interference, traditional recognition algorithms often misjudge or omit faults. To address this, a YOLOv8-based visual detection method incorporating Dynamic Snake Convolution (DSConv) and the Slicing-Aided Hyper-Inference algorithm is proposed. This method aims to improve recognition precision and accuracy for small targets in complex backgrounds, facilitating accurate detection of ITSC faults in dry-type transformers. Comparative tests with the YOLOv8 model, Fast Region-based Convolutional Neural Networks (Fast-RCNNs), and Residual Neural Networks (Retina-Nets) demonstrate that the enhancements significantly improve model convergence speed and fault trajectory detection accuracy. The approach offers valuable insights for advancing infrared image diagnostic technology in electrical power equipment.

BackgroundA high incidence of lactational mastitis mainly occurs during the first month of breastfeeding. It may cause severe pain, frustration, fatigue, stress, and breastfeeding concerns. However, few studies investigated the effects of lactational mastitis on postpartum depression. This study investigated the potential association between lactational mastitis and postpartum depression.MethodsWe examined the associations of lactational mastitis with postpartum depression in 1,551 Chinese women. Lactational mastitis was diagnosed by breast specialists. The presence of depression symptoms was evaluated by the Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire 9 (PHQ9) at 6 weeks after delivery. Multiple linear regression analysis and multivariable log-binomial regression analysis were performed to estimate the association between lactational mastitis and postpartum depression.ResultsAmong the 1,551 mothers, 147 (9.5%) experienced lactational mastitis diagnosed by breast specialists during the postpartum period. Compared with women without lactational mastitis, the proportion of women with depression symptoms was significantly higher (38.1% vs. 27.4%, p = 0.008), and the risk of postpartum depression increased by 68% (RR = 1.68, 95% CI, 1.18, 2.40) in women who had experienced lactational mastitis. In addition, the risk of self-harm or suicidal ideation increased by 89% (RR = 1.89, 95% CI, 1.08, 3.29) in women who experienced lactational mastitis. In stratified analysis, the associations of lactational mastitis with postpartum depression appeared stronger among women aged ≥35 years, with maternal comorbidities, and who delivered a female neonate.ConclusionThe study results suggest that lactational mastitis is a risk factor for depression during the postpartum period. The impact of lactational mastitis on maternal mental health requires further attention.Clinical trial registrationchictr.org.cn, ChiCTR2000041519.

BackgroundStroke-associated pneumonia (SAP) is associated with a poor prognosis and a high mortality rate in stroke patients. However, the accuracy of early prediction of SAP is insufficient, and there is a lack of effective prognostic evaluation methods. Therefore, in this study, we investigated the predictive value of the Oxford Acute Severity of Illness Score (OASIS) in SAP to provide a potential reference index for the incidence and prognosis of SAP.MethodsWe recruited a total of 280 patients with acute ischemic stroke who had been diagnosed and treated in the Zhumadian Central Hospital between January 2021 and January 2023. These patients were divided into an SAP group (86 cases) and a non-SAP group (194 cases) according to SAP diagnostic criteria by expert consensus on the diagnosis and treatment of SAP. We collated general and clinical data from all patients, including the survival of SAP patients during the follow-up period. Multivariate logistic regression was used to analyze the risk factors for SAP. Kaplan–Meier and multivariate COX regression analyses were used to investigate the relationship between OASIS and the prognosis of SAP, and a receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of OASIS for SAP.ResultsOur analyses identified body temperature, C-reactive protein, procalcitonin, OASIS, and a prolonged length of intensive care unit (ICU) stay as the main risk factors for SAP (all Ps < 0.05). Advanced age and an elevated OASIS were identified as the main risk factors for death in SAP patients (all Ps < 0.05). The risk of death in patients with OASIS of 31–42 points was significantly higher than that in patients with OASIS of 12–20 points (HR = 5.588, 95% CI = 1.531–20.401, P = 0.009). ROC curve analysis further showed that OASIS had a high predictive value for morbidity and the incidence of death in SAP patients.ConclusionOASIS can effectively predict the onset and death of SAP patients and provides a potential reference index for early diagnosis and the prediction of prognosis in patients with SAP. Our findings should be considered in clinical practice.

The study of gene therapies has been of particular interest in recent decades due to their promising potential to slow or even rescue the degeneration of the retina in inherited retinal dystrophies (IRDs). Here, we review the current approaches to gene therapy trials on IRDs, including the selection of animal models, therapeutic window, vectors and dosages. Mice are typically the first choice of animal models and recombinant adeno-associated virus (rAAV) of serotype 8 is the most common vector for loss-of-function IRDs. Furthermore, the therapeutic window should be considered to ensure efficacy before retinal degeneration occurs if possible, and dosages must be tailored to each approach.

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, many studies have reported the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the conjunctival sac of patients infected with this virus, with several patients displaying symptoms of viral conjunctivitis. However, to our best knowledge, there is no in-depth report on the course of patients with COVID-19 complicated by relapsing viral conjunctivitis or keratoconjunctivitis. Case presentation A 53-year-old man confirmed with COVID-19 developed symptoms of viral conjunctivitis in the left eye approximately 10 days after the onset of COVID-19. The results of a nucleic acid test were positive for SARS-CoV-2 in the conjunctival sac of the left eye. The symptoms were relieved 6 days after treatment. However, the patient was subsequently diagnosed with viral keratoconjunctivitis in both eyes 5 days after the symptoms in the left eye were satisfactorily relieved. The disease progressed rapidly, with spot staining observed at the periphery of the corneal epithelium. Although SARS-CoV-2 could not be detected in conjunctival secretions, the levels of inflammatory factors, such as interleukin-6, were increased in both eyes. Both eyes were treated with glucocorticoids, and symptoms were controlled within 5 days. There was no recurrence. Conclusions In this case report, the pathogenesis, clinical manifestations, treatment, and outcome of a case with COVID-19 complicated by relapsing viral keratoconjunctivitis is described, and the involvement of topical cytokine surge in the pathogenesis of COVID-19 as it relates to viral keratoconjunctivitis is reported.

Sand protection systems are widely used to shelter roads from blowing sand. Therefore, it's very important to evaluate their effectiveness. To provide some insights, we used field investigations, measurements of accumulated sand, work logs from sand-removal workers, and wind speed data to analyze a system's performance using China's Ceke–Ejina expressway as a case study. Our results demonstrated that the critical wind speed required to deposit sand on the expressway was 8.6 m s-1 (cumulative frequency 12.1%) before implementing the sand protection system. After implementing the system, the critical wind speed required to deposit sand on the road increased to 14.8 m s-1 (0.3%). However, the critical wind speed decreased to 11.1 m s-1 (3.5%) the next year. Additional work, such as digging ditches, increasing the fence height, and planting shrubs, would help the sand protection system retain its function. Nonetheless, the system continued to function well. The volume of sand removed decreased from ca. 10,000 m3 in 2015 to ca. 100 m3 in 2020. Our results quantify the effectiveness of the sand protection system and reveal how its effectiveness decreases over time. They therefore provide an empirical basis for improving the design and maintenance of sand protection systems.

Abstract Effective visualization of infectious disease risks is crucial for the development of efficient prevention and control strategies. However, the efficacy of mainstream models is hindered by a scarcity of reliable data in target areas, a situation that is particularly acute when dealing with emerging or re‐emerging infectious diseases. Additionally, these models typically fail to integrate local disease‐related risk factors in line with the ‘One Health’ concept, resulting in inaccurate predictions. Consequently, accurately assessing infectious disease risks without reliable data is challenging. This study introduces SpatMCDA, an innovative R package designed to assess infectious disease risk areas through spatial multi‐criteria decision analysis (MCDA). SpatMCDA is structured around six core modelling steps: standardizing risk factors, determining factor weights, constructing risk maps, performing One‐at‐a‐Time sensitivity analysis, calculating the Mean of Absolute Change Rates and conducting an uncertainty analysis. By examining the case of West Nile virus (WNV) in China, this study illustrates how SpatMCDA can be useful in identifying disease transmission risks in the absence of reliable outbreak data. The assessment identified areas at risk for WNV in northwestern, eastern and southern China. By integrating spatial and epidemiological data, SpatMCDA enhances infectious diseases risk assessment in situations where data are limited. Its efficiency in using available data for accurate risk mapping and adaptability in weighting various risk factors enables tailored analyses. This tool enhances public health strategies, contributing to global health security.

Abstract In this work, we studied the near-surface flow field structure of railway bridges with different heights through field investigation and wind tunnel simulation experiments. Meanwhile, we simulated the distribution of sand accumulation around a bridge via CFD software based on the sand accumulation around the Basuoqu bridge in the Cuona Lake section of the Qinghai–Tibet Railway. Results show that the sand around this railway bridge is mainly from the lake sediment on the west side of the railway and the weathered detritus on the east side. The height of the railway bridge in the sandy area affects the distribution of the near-surface flow field and the variation in speed on both sides of the bridge. The wind speed trough on both sides of the 6 m high bridge is higher, and the horizontal distance between the wind speed trough and the bridge section is 1.5 times that of the 3 m high bridge. Wind speed attenuates in a certain range on the windward and leeward sides of the bridge, forming an aeolian area; under the beam body, it is affected by the narrow tube effect, forming a wind erosion area. The height of the bridge determines its sand transport capacity. Under certain wind conditions, the overhead area at the bottom of the 3 m high bridge and its two sides do not have the sand transport capacity, so sand accumulates easily. Nevertheless, the sand accumulation phenomenon gradually disappears with the increase in bridge clearance height. The objectives of this study are to reveal the formation mechanism of sand damage for railway bridges, provide theoretical support for the scientific design of railway bridges in sandy areas, and formulate reasonable railway sand prevention measures to ensure the safety of railway running, which have certain theoretical significance and practical value.

Abstract Background Epididymal tumors, especially malignant tumors, have low incidence and are rare in our clinical work. However, they may progress quickly and have poor prognosis. For such rare clinical cases with extremely low incidence rates, and as they are prone to misdiagnosis and missed diagnosis and have a very poor prognosis, clinical workers need to pay special attention and consider the possibility of primary epididymal malignant tumors. Case report A 63-year-old Chinese male patient from Asia was admitted due to scrotal pain. Upon examination, an abnormal lesion was found in the right epididymal region. After thorough evaluation, surgical resection was performed, and the postoperative pathological result confirmed the presence of epididymal adenocarcinoma. After further ruling out secondary lesions, primary epididymal adenocarcinoma was considered. Right retroperitoneal lymph node dissection was performed under laparoscopic for treatment, and 1/11 lymph node metastasis was detected after surgery. The patient is currently under close follow-up. Conclusions The number of clinical cases of primary epididymal malignant tumors is very limited, there is currently no standardized diagnosis and treatment process, and there is a lack of systematic evaluation methods regarding the effectiveness of different treatment options such as chemotherapy, radiotherapy, immunotherapy, and targeted therapy. In addition, the outcome is difficult to predict. In this article, we reviewed relevant literature and systematically elaborated on the diagnosis and treatment of epididymal malignant tumors, hoping to provide useful information for relevant experts.

Coal reservoirs are often connected to hydrogeological systems through faults, allowing groundwater with mineralization to intrude into coal seams. In order to improve gas extraction, it is necessary to explore the effect of coal with different moisture content and salinity conditions on CH4 adsorption. By means of various experimental tests, such as XPS, FTIR, we constructed macromolecular structure models of Dongqu 8# coal with different moisture content and salinity conditions, conducted isothermal adsorption simulation experiments, and analyzed in detail the effects of coal models with different moisture content and salinity conditions on the adsorption capacity of CH4. The results showed that the adsorption capacity of CH4 decreased with the increase of moisture content and salinity in coal; the effect of moisture content on CH4 adsorption was greater than that of salinity on CH4 adsorption; the ability of sodium salt to affect the adsorption of CH4 by coal was ranked from largest to smallest as follows: Na2CO3 > NaHCO3> NaCl; electrostatic potential distribution: | Na2CO3 electrostatic potential| > | NaHCO3 of electrostatic potential| > | NaCl of the electrostatic potential|, it can be seen that the electrostatic force affects the strength of adsorption, the greater the value of the electrostatic potential of the ions in the salt, the stronger ability the coal to adsorb CH4.

Water resources in the soil play an essential role in hydrological processes and ecosystem functions on the Tibetan Plateau. However, accurately measuring soil moisture distribution in this region presents challenges due to the diverse ecosystem types, complex terrain, and harsh environmental conditions. In this study, we introduce an approach for estimating mesoscale soil moisture in the Qilian Mountains (QLM) region of the eastern Tibetan Plateau using a cosmic-ray neutron rover. Soil moisture estimates derived from neutron count rates, newly adjusted by vegetation effects, demonstrated good agreement with soil moisture measurements obtained through soil sampling at 26 calibration sites across the region (RMSE = 0.025 g g−1). The calibration parameter N0_NDVI was 443 cpm in the QLM. Utilizing NDVI as vegetation correction method showed potential improvements in the accuracy of converting neutron counts to soil moisture across the diverse mountainous ecosystem types. The newly developed calibration equation provided a high-precision, high spatial resolution soil moisture transect across various landscapes measured by the rover. The average mesoscale soil moisture along the rover route varied by ecosystem types, with values of 0.10 g/g in deserts, 0.17 g/g in grasslands, 0.13 g/g in forests, 0.18 g/g in subalpine shrublands, and 0.20 g/g in croplands. Land cover types emerged as crucial determinants of mesoscale soil moisture variability in the QLM region. These findings offer valuable mesoscale soil moisture data and new insights into soil water information at the transect scale across diverse ecosystem types in the Tibetan Plateau.

Abstract The inefficient delivery of herbicides causes unpleasant side effects on the ecological environment. Protoporphyrinogen oxidase (PPO)‐inhibiting herbicides rely on the presence of external light to exert the activities and thus their performance in the field is extremely susceptible to the light environment. Here, taking acifluorfen (ACI) as a model PPO‐inhibiting herbicide to enhance efficacy by boosting the utilization rate of sunlight, amphiphilic cationic CDs (CPC‐CDs) from cetylpyridinium chloride (CPC) as a precursor, is first prepared as a supplementary light source generator, and subsequently co‐assembled with ACI through non‐covalent bond interactions to obtain the stable fluorescent nanoparticles (ACI@CPC‐CDs). ACI@CPC‐CDs with fascinating physicochemical properties can penetrate the leaves of weeds through the stomata and undergo a long‐distance transport in the cell intervals. Under low light intensity, CPC‐CDs can be applied as the internal light source to promote the formation of more singlet oxygen to damage the leaf cell membrane, consequently improving the herbicidal activity of ACI. Moreover, the safety evaluation of ACI@CPC‐CDs demonstrates no risk to non‐target organisms and the environment. Therefore, this work offers a promising strategy for the efficient delivery of light‐dependent PPO‐inhibiting herbicides and opens new insights into the application of CDs in the development of sustainable agriculture.

Abstract Background Brassica napus, a hybrid resulting from the crossing of Brassica rapa and Brassica oleracea, is one of the most important oil crops. Despite its significance, B. napus productivity faces substantial challenges due to heavy metal stress, especially in response to cadmium (Cd), which poses a significant threat among heavy metals. Natural resistance-associated macrophage proteins (NRAMPs) play pivotal roles in Cd uptake and transport within plants. However, our understanding of the role of BnNRAMPs in B. napus is limited. Thus, this study aimed to conduct genome-wide identification and bioinformatics analysis of three Brassica species: B. napus, B. rapa, and B. oleracea. Results A total of 37 NRAMPs were identified across the three Brassica species and classified into two distinct subfamilies based on evolutionary relationships. Conservative motif analysis revealed that motif 6 and motif 8 might significantly contribute to the differentiation between subfamily I and subfamily II within Brassica species. Evolutionary analyses and chromosome mapping revealed a reduction in the NRAMP gene family during B. napus evolutionary history, resulting in the loss of an orthologous gene derived from BoNRAMP3.2. Cis-acting element analysis suggested potential regulation of the NRAMP gene family by specific plant hormones, such as abscisic acid (ABA) and methyl jasmonate (MeJA). However, gene expression pattern analyses under hormonal or stress treatments indicated limited responsiveness of the NRAMP gene family to these treatments, warranting further experimental validation. Under Cd stress in B. napus, expression pattern analysis of the NRAMP gene family revealed a decrease in the expression levels of most BnNRAMP genes with increasing Cd concentrations. Notably, BnNRAMP5.1/5.2 exhibited a unique response pattern, being stimulated at low Cd concentrations and inhibited at high Cd concentrations, suggesting potential response mechanisms distinct from those of other NRAMP genes. Conclusions In summary, this study indicates complex molecular dynamics within the NRAMP gene family under Cd stress, suggesting potential applications in enhancing plant resilience, particularly against Cd. The findings also offer valuable insights for further understanding the functionality and regulatory mechanisms of the NRAMP gene family.

A deep understanding of the micro mechanism of competitive adsorption of CO2 and CH4 in coal seams is crucial for achieving CO2 displacing methane extraction （CO2-ECBM）. Based on the macromolecular structure model of Dongqu Mine No. 8 coal, a study was conducted on the competitive adsorption of single and dual components of CO2 and CH4. The results indicate that the adsorption capacity of CO2 in single component adsorption is significantly greater than that of CH4, and the total adsorption capacity in dual component competitive adsorption increases with the increase of CO2 mole fraction; the selective adsorption coefficient of CO2 for CH4 in dual component adsorption under different molar ratios is always greater than 1, and the larger the molar fraction of CO2, the smaller the selective adsorption coefficient; the interaction energy significantly increases with the increase of adsorption capacity. The larger electrostatic energy in the CO2 adsorption system promotes the adsorption of CO2 by coal macromolecules. Therefore, the interaction energy of different molar ratio systems increases significantly with the increase of CO2 mole fraction; the adsorption potential of CO2 in single component adsorption is greater than that of CH4, while the adsorption potential of CO2 in dual component competitive adsorption increases with the increase of CO2 molar ratio, while the adsorption potential of CH4 decreases with the increase of CO2 molar ratio. This result is consistent with the results of adsorption selectivity analysis.

Thyme essential oils (EOs) have antioxidant, antiviral, antifungal, antibacterial, anti-inflammatory, and immunological properties and are used in medicine, food, feed additives, and cosmetics. Here, we made use of a multidimensional analytical method to analyze the differences in the chemical components, chemotypes, and antioxidant and antibacterial activities of EOs from 24 Chinese native thymes. These Chinese native thymes comprised 10 species (Thymus quinquecostatus, T. mongolicus, T. inaequalis, T. mandschuricus, T. curtus, T. amurensis, T. roseus, T. proximu, T. marschallianus, and T. altaicus) and two varieties (T. quinquecostatus var. asiaticus and T. quinquecostatus var. przewalskii). Four primary chemotype groups were identified, namely carvacrol, thymol, geraniol, and α-terpineol. The maximum carvacrol, thymol, geraniol, and α-terpineol contents were 72.4, 58.6, 59.5, and 65.4%, respectively. The antioxidant capacities of the thymol and carvacrol chemotype EOs were found to be significantly superior to the other chemotypes using three antioxidant assays: DPPH, ABTS, and FRAP. Moreover, the thymol and carvacrol EO chemotypes could significantly inhibit the growths of the common food-borne pathogenic bacteria Staphylococcus aureus and Escherichia coli. A correlation analysis between the EO components and the bacteria showed that thymol significantly positively correlated with the bacteria. In summary, we analyzed the thyme EOs’ antioxidant and antibacterial activities, which laid a foundation for their use in medicines, foods, feed additives, and cosmetics. The results will also be very useful for the selection of wild thymes for functional research on carvacrol-, thymol-, geraniol-, and α-terpineol-rich essential oil chemotypes and the product development of feed additives, cosmetics, etc.

To understand and characterize the structure characteristics of high-sulfur coal at molecular level is of key significance for clean and efficient utilization of high-sulfur coal. The molecular structure of Jincheng high-sulfur coal was characterized by proximate analysis, ultimate analysis, high-resolution transmission electron microscopy, laser desorption time of flight mass spectrometry, 13C nuclear magnetic resonance spectroscopy and X-ray photoelectron spectroscopy. The results show that the aromatic lamellar length of Jincheng high-sulfur coal has a wide distribution range, and the form of 2×2 and 3×3 is the majority; in the heteroatomic structure, the nitrogen atoms are mainly pyridine nitrogen and pyrrole nitrogen, the sulfur atoms exist in the form of mercaptan, thioether, thiophene, sulfoxide and sulfone structures, and the oxygen atoms mainly exist in the hydroxyl group, carbonyl group, and ether oxygen, and the length of the adipose side chain in the structure is short, the degree of branched chain is low. According to the aromatic carbon skeleton information provided by the high-resolution image, 327 aromatic layers were selected as the basic skeleton of the structural model, which was optimized after the addition of aliphatic structure and heteroatomic functional groups in turn. The molecular structure model of high-sulfur coal was obtained in accordance with the above experimental data. The model consists of 95 individual molecules, 18 882 atoms in total. The molecular formula is C12119H6279O214N118S152 and the molecular weight is 161 647 Da. The molecular structure model can be applied to further study the physical and chemical properties and reactivity of high-sulfur coal.

Abstract The limited sensitivity of photovoltaic-type photodiodes makes it indispensable to use pre-amplifier circuits for effectively extracting electrical signals, especially when detecting dim light. Additionally, the photomultiplication photodiodes with light amplification function suffer from potential damages caused by high power consumption under strong light. In this work, by adopting the synergy strategy of thermal-induced interfacial structural traps and blocking layers, we develop a dual-mode visible-near infrared organic photodiode with bias-switchable photomultiplication and photovoltaic operating modes, exhibiting high specific detectivity (~1012 Jones) and fast response speed (0.05/3.03 ms for photomultiplication-mode; 8.64/11.14 μs for photovoltaic-mode). The device also delivers disparate external quantum efficiency in two optional operating modes, showing potential in simultaneously detecting dim and strong light ranging from ~10−9 to 10−1 W cm−2. The general strategy and working mechanism are validated in different organic layers. This work offers an attractive option to develop bias-switchable multi-mode organic photodetectors for various application scenarios.

Abstract In the nuclear magnetic resonance (NMR) test of coal, when the spinning frequency of magic‐angle spinning (MAS) is less than the frequency range of chemical shift anisotropy, serious aromatic carbon spinning sidebands will appear. Existing solutions to the sideband effect, such as changing the MAS frequency, inserting total suppression of sidebands (TOSS) pulse sequences, or simply defining the peak after chemical shift of 200 ppm as the sideband peaks generated by aromatic carbon peak, multipling the identified sideband integral by 2 and adding to the main peaks of protonated aromatic carbon and aromatic bridgehead carbon. None of these methods can reasonably correct for the sideband effect and cause errors to accurately quantifying the carbon structure parameters. Compared with 13C nuclear magnetic resonance (13C NMR) spectrum without sideband suppression (13C CP‐MAS NMR) and 13C NMR spectrum under sideband suppression conditions (13C CP‐MAS/TOSS NMR), according to the chemical shifts of the main peaks of four aromatic carbons, namely protonated aromatic carbon, aromatic bridgehead carbon, alkylated aromatic carbon and oxygen‐linked aromatic carbon, combined with the MAS frequency, the first‐ and second‐level sideband peaks generated by four types of aromatic carbons were accurately located and quantified, and they were added to the corresponding aromatic carbon main peaks in 13C CP‐MAS/TOSS NMR spectrum, thus realizing the accurate correction of sideband effect of the solid‐state 13C NMR spectrum of coal samples. The relative area of corrected aliphatic carbon, carbonyl (carboxyl) carbon, and various aromatic carbons were recalculated, and more accurate carbon structure parameters were obtained, which is significant for studying the coal structure from a microscopic perspective.

The accumulation of liquid in gas wells is a common problem in the later stages of shale gas production. The plunger lift is currently one of the most economically effective methods for removing accumulated liquid in gas wells, but its applicability is not yet clear. This article analyzes the production characteristics of gas wells on-site and summarizes the key indicators for evaluating the plunger lift technology, including casing pressure changes, production changes, liquid column plunger height, tubing-casing pressure differential changes, and differential size of pressure relief. Combined with numerical simulation methods, a complete set of evaluation systems for judging, classifying, and evaluating the effectiveness of plunger lift technology is established, and an evaluation method for the applicability of plunger lift technology is proposed. Taking well Ning 216-H4 as an example, a comprehensive evaluation is made on whether the gas well is suitable for plunger lift based on the height of the liquid column above the plunger, the production effect under pressure, and the overall shut-in time. This method has important guiding significance for the further promotion and application of plunger lift technology in deep wells, directional wells, and horizontal wells to achieve efficient development of natural gas.

In order to promote the sustainable economic development, it is critical employ the digital economy to solve the mismatch dilemma of land and marine factors in coastal areas. It analyzed the influencing mechanisms between the digital economy, land and labor factor mismatch and coastal economic sustainable development using network development and new economic growth theories. The intermediary and regulating effect models were used for empirical tests using panel data from 11 Chinese coastal provinces (city or district) between 2009 and 2018. Results found that: (1) Digital economy promoted the sustainable development of land and marine binary economies in coastal areas; (2) Digital economy improved the factor mismatch of land and marine binary economies, which further affected the sustainable economic development; (3) Market integration is conducive to alleviating land and marine factor mismatch and strengthening the optimization effect of the digital economy on the factor mismatch. This research provides a new perspective for clarifying the mechanism of the digital economy on sustainable economic development, as well as a reference for the realization of rational allocation of factor resources and sustainable economic development by taking factor mismatch of land and marine binary economies and market integration as the intermediary variables and regulatory variables.

With the scale development of shale gas, the importance of selecting appropriate deliquification process has become increasingly evident in maintaining well productivity and improving shale gas recovery rate. At present, the preferred deliquification process are macro-control plate method and field experience method. The existing methods can only qualitatively select the deliquification process by considering limited influencing factors, resulting in poor process implementation. Based on the results of error analysis, the Gray model was optimized to calculate the pressure distribution in the shale gas wellbore and determine the applicable pressure limit. The W.Z.B. empirical model, which fully considers the influence of wellbore inclination, is used to calculate the gas-liquid carrying situation and determine the applicable liquid carrying limit. By analyzing the technical limits of five commonly used deliquification processes in the Changning shale gas field, namely, plunger lift, optimizing pipe string, gas lift, foam drainage, and intermittent production, a quantitative optimization method for deliquification processes was established. This method was then used to obtain the optimization chart for deliquification processes in shale gas wells. This method was applied in Well Ning 209-X, where the corresponding optimization chart for deliquification processes was drawn based on the production characteristics of the gas well. By quantitatively optimizing the deliquification processes and adjusting to suitable techniques, it effectively guided the production of the gas well and improved the gas field recovery rate.

Abstract Harmony search (HS) is a new swarm intelligent algorithm inspired by the process of music improvisation. Over the past decade, HS algorithm has been applied to many practical engineering problems. However, for some complex practical problems, there are some remaining issues such as premature convergence, low optimization accuracy and slow convergence speed. To address these issues, this paper proposes a novel intelligent global harmony search algorithm based on improved search stability strategy (NIGHS). In the search process, NIGHS uses the adaptive mean of harmony memory library to build a stable trust region around the global best harmony, and proposes a new coupling operation based on linear proportional relation, so that the algorithm can adaptively adjust the ability of exploration and exploitation in the search process and avoid premature convergence. In addition, the dynamic Gauss fine-tuning is adopted in the stable trust region to accelerate the convergence speed and improve the optimization accuracy. The common CEC2017 test functions are employed to test the proposed algorithm, the results show that NIGHS algorithm has a faster convergence speed and better optimization accuracy compared to the HS algorithm and its improved versions.