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Abstract X-ray imaging with a large field of view (FOV) and high resolution is extremely important for Rayleigh–Taylor instability measurement with a small amplitude and high spatial frequency in laser inertial confinement fusion. We developed an advanced Kirkpatrick–Baez (AKB) microscope based on the quadratic-aberration theory to realize a large FOV and high resolution. This microscope was assembled and tested in a laboratory, and it was then successfully applied for imaging the hydrodynamic instability of a perturbation target in implosion experiments at the Shenguang-III prototype laser facility. Imaging results demonstrate that the AKB microscope can achieve an optimal resolution of ~ 0.53 μm and ~ 0.40 μm and a spatial resolution of

Abstract The rapid change in information technology has made online or blended learning a new norm in higher education. However, the problem of low student engagement in online learning is becoming more prominent. This study explores how college students’ proactive personality affects their online learning engagement through the mediating effects of positive emotions and learning motivation. A survey was conducted on college students (N = 1049), and the interrelationships among these variables were analyzed using structural equation modeling. The findings unveiled that: proactive personality positively predicts online learning engagement, positive emotions and learning motivation. Positive emotions and learning motivation significantly positively influence online learning engagement. Moreover, Positive emotions also exert a significant positive impact on learning motivation. In addition, the mediation of positive emotions and learning motivation further strengthened a significant positive correlation between proactive personality and online learning engagement. Implications for theory and practice, including the limitations, were discussed accordingly.

Abstract Background According to the Chinese Society of Anesthesiology, it is recommended that patients with difficult airways be documented and notified, which will provide healthcare professionals with a direct reference when managing airways. However, compliance with this initiative remains unclear. This study was conducted to investigate the current status and need for difficult airway notification at Plastic Surgery Hospital and to explore the factors contributing to noncompliance. Methods Anesthesiologists, surgeons, and patients in Plastic Surgery Hospital were administered separate questionnaires regarding notification of difficult airway management. Participants were surveyed regarding their attitudes and current practices regarding difficult airway notification. In addition, questions were asked regarding the barriers that contribute to noncompliance. Results A total of 632 valid responses were obtained and analyzed, giving a response rate of 99.21%. 399 patients (89.46%) felt it was very important for anesthesiologists to inform them about their difficult airway, and 91.03% felt it was very important for them to receive a letter of their airway assessment. However, twenty-two anesthesiologists (64.7%) reported verbally informing less than 50% of patients about their difficult airway after surgery, and only four anesthesiologists informed all patients they encountered. Most surgeons (91.22%) and anesthesiologists (91.18%) believe that it is vital to inform patients verbally, while 114 surgeons (77.03%) and 31 anesthesiologists (91.18%) believe that it is essential to complete a difficult airway notification alert. Among the factors causing noncompliance, 17 (34.69%) believed that absence of mandatory rules, 9 (18.37%) believed that increased workload, and 8 (16.33%) believed that notification methods were lacking. Conclusions The compliance to difficult airway notification remains low in Plastic Surgery Hospital despite the high incidence of difficult airways. Although anesthesiologists, surgeons, and patients are strongly in favor of it. Among the barriers to compliance were the absence of a well-developed notification system and a means of notification such as an alert form for difficult airways. This may spur the anesthesiology society to publish the notification system.

Abstract This article proposes an in-situ steam-assisted thermal decomposition method for oil shale using long-distance horizontal wells.Firstly, this article establishes a coupled thermal–hydraulic hydrothermal mechanical model considering the anisotropy of oil shale to study the in-situ pyrolysis process of oil shale by steam injection in horizontal wells. Then Optimization analysis was conducted on the effects of fracture spacing, fracture length, and horizontal well length on extraction efficiency. Finally, An economic analysis was conducted on the new extraction method. The research results indicate that: (1) Compared with the traditional vertical well mining mode (1injection and 8 production well, with a well spacing of 50 m), the newly proposed long-distance horizontal well configuration (1 injection and 2 production well) has higher heating efficiency. (2) When the fracture spacing is less than 25 m, the heating efficiency is no longer significantly improved. Increasing the length of fractures has a significant effect on improving heating efficiency. (3) When the length of the horizontal well exceeds 450 m, the extraction cost no longer significantly decreases. Increasing the length of fracturing fractures can significantly reduce extraction costs. When the fracture spacing is less than 30 m, the extraction cost no longer significantly decreases. This study provides theoretical reference and data support for the efficient in-situ thermal decomposition of oil shale.

Abstract This narrative review examines the therapeutic efficacy of peripheral nerve stimulation (PNS) in the treatment of neuropathic pain (NP), a type of pain arising from lesions or diseases of the somatosensory system with a global prevalence ranging from 6.90% to 10.00%. Traditional pharmacological interventions often fall short for many persons, highlighting the need for alternative treatments such as PNS, which has demonstrated significant promise with minimal side effects. The review summarizes the effectiveness of PNS in various NP conditions, including trigeminal neuralgia and postherpetic neuralgia, and underscores the need for further research to refine treatment approaches. The mechanism of PNS is discussed, involving the activation of non-nociceptive Aβ fibers and modulation of neurotransmitters, and offering pain relief through both peripheral and central pathways. Despite the proven efficacy of PNS, challenges remain, including the need for randomized controlled trials and the optimization of stimulation parameters. The review concludes that PNS is a promising treatment modality for NP, warranting additional high-quality trials to solidify its role in clinical practice.

Objective To explore the influencing factors of Escherichia coli (E. coli) colonization in the production of extended spectrum β-lactamase (ESBL) in elderly hospitalized patients and establish a prediction model. Methods A total of 140 elderly patients admitted to Changzhi People's Hospital from August 2022 to November 2023 were selected and divided into the modeling cohort, and another 63 elderly patients admitted to our hospital during the same period were selected as the validation cohort. Patients with ESBL-producing E. coli colonization detected in the modeling cohort were divided into the exposed group, and patients without ESBL-producing E. coli colonization were divided into the non-exposed group. Baseline data, antibacterial drug use, and comorbidities were collected from the two groups. Multivariate logistic regression analysis was performed for the indicators with differences. Multivariate logistic regression analysis results were used to construct a nomogram model. Column identification was assessed by C-index, and ROC curve was used to assess the internal validation results. Receiver operating characteristic curve (ROC curve) was drawn to evaluate the value of the prediction model and construct a calibration curve and decision curve were constructed. Results There were no significant differences in baseline data between the modeling cohort and the validation cohort (P > 0.05) . In the modeling cohort, 35 patients with ESBL-producing E. coli colonization detected were in the exposed group and 105 patients without ESBL-producing E. coli colonization were in the non-exposed group, and there were significant differences in the use of third-generation cephalosporins, urinary catheter indwelling, gastric tube indwelling, combined antibiotics, and length of hospital stay between the two groups (P < 0.05) . The results of multivariate logistic regression analysis showed that the use of third-generation cephalosporins, urinary catheter indwelling, gastric tube indwelling, combined antibiotics and length of hospital stay were independent risk factors affecting ESBL-producing E. coli colonization (P < 0.05) . The constructed prediction models were internally validated with the validation cohort, and the results showed that the models showed high discrimination and calibration in both the modeling cohort and the validation cohort, and the Hosmer Lemeshow test showed that there were no significant differences between the predicted probabilities and the actual probabilities in the validation cohort and the modeling cohort (P > 0.05) . The nomogram prediction model developed from the results of multivariate logistic regression analysis, validated by the validated cohort, showed an AUC of 0.917 (95% CI: 0.861 - 0.973) by ROC curve, indicating a high accuracy of the prediction model. Conclusion The use of third-generation cephalosporins, length of hospital stay, urinary catheter indwelling, gastric tube indwelling and combined antibiotics are all important influencing factors of ESBL-producing E. coli colonization in patients, and the nomogram model constructed based on this has high clinical value.

This paper is concerned with a class of viscoelastic plate equations with past history. We first transform the original initial-boundary value problem into an equivalent one by means of the history space framework. Then we use the perturbed energy method to establish a stabilizability estimate. By employing the gradient property and quasi-stability of the dynamical system, we obtain the existence of a global attractor with finite fractal dimension.

Abstract Gingival inflammation grade serves as a well-established index in periodontitis. The aim of this study was to develop a deep learning network utilizing a novel feature extraction method for the automatic assessment of gingival inflammation. T-distributed Stochastic Neighbor Embedding (t-SNE) was utilized for dimensionality reduction. A convolutional neural network (CNN) model based on DenseNet was developed for the identification and evaluation of gingival inflammation. To enhance the performance of the deep learning (DL) model, a novel teeth removal algorithm was implemented. Additionally, a Grad-CAM + + encoder was applied to generate heatmaps for computer visual attention analysis. The mean Intersection over Union (MIoU) for the identification of gingivitis was 0.727 ± 0.117. The accuracy rates for the five inflammatory degrees were 77.09%, 77.25%, 74.38%, 73.68% and 79.22%. The Area Under the Receiver Operating Characteristic (AUROC) values were 0.83, 0.80, 0.81, 0.81 and 0.84, respectively. The attention ratio towards gingival tissue increased from 37.73% to 62.20%, and within 8 mm of the gingival margin, it rose from 21.11% to 38.23%. On the gingiva, the overall attention ratio increased from 51.82% to 78.21%. The proposed DL model with novel feature extraction method provides high accuracy and sensitivity for identifying and grading gingival inflammation.

Abstract Background A knowledge of gouty arthritis could help in the primary prevention of the disease development and lead to an early diagnosis if it occurs. This study investigated the knowledge, attitudes, and practices (KAP) toward gouty arthritis in the general population > 30 years old. Methods This web-based cross-sectional study was conducted among the general population > 30 years old between January and March 2023 in Chengdu, Sichuan. The questionnaire was designed by the investigators based on the available guidelines (Cronbach’s α = 0.846). A score above 70% indicated good knowledge, a positive attitude, and proactive practice. Multivariable and structural equation modeling (SEM) analyses were performed to analyze the factors influencing KAP. Results A total of 537 questionnaires were included. The knowledge, attitudes, and practices scores were 13.12 ± 6.41, 25.28 ± 3.97, and 45.25 ± 5.77, respectively. Female (OR = 0.47, 95%CI: 0.31–0.71, P 10,000 yuan (OR = 2.07, 95%CI: 1.12–3.81, P = 0.020) were independently associated with attitudes. Attitude (OR = 1.31, 95%CI: 1.23–1.40, P

Abstract Duchenne muscular dystrophy (DMD) affecting 1 in 3500–5000 live male newborns is the frequently fatal genetic disease resulted from various mutations in DMD gene encoding dystrophin protein. About 70% of DMD-causing mutations are exon deletion leading to frameshift of open reading frame and dystrophin deficiency. To facilitate translating human DMD-targeting CRISPR therapeutics into patients, we herein establish a genetically humanized mouse model of DMD by replacing exon 50 and 51 of mouse Dmd gene with human exon 50 sequence. This humanized mouse model recapitulats patient’s DMD phenotypes of dystrophin deficiency and muscle dysfunction. Furthermore, we target splicing sites in human exon 50 with adenine base editor to induce exon skipping and robustly restored dystrophin expression in heart, tibialis anterior and diaphragm muscles. Importantly, systemic delivery of base editor via adeno-associated virus in the humanized male mouse model improves the muscle function of DMD mice to the similar level of wildtype ones, indicating the therapeutic efficacy of base editing strategy in treating most of DMD types with exon deletion or point mutations via exon-skipping induction.

Abstract The influence of precipitated nanophases on the mechanical properties of Fe-based amorphous nanocrystalline alloys is an urgent issue to be explored. Two amorphous nanocrystalline alloys, i.e., (Fe0.9Ni0.1)86B14 and (Fe0.7Ni0.3)86B14 containing nanophase of the body-centered cubic and face-centered cubic structures, respectively, were selected to investigate the effect of the structure and volume fraction of nanophase on their mechanical properties. The results of nanoindentation experiments and the calculation of the volume and size of the shear transition zone reveal that the two alloys show different mechanical properties. When the volume fraction of the nanophase in (Fe0.9Ni0.1)86B14 is larger than 50%, the elastic modulus is increased suddenly and the volume and size of the shear transition zone is decreased dramatically, while no dramatic change occurs in (Fe0.7Ni0.3)86B14. Moreover, it was found by using molecular dynamics simulations that the main reason for these abnormal mechanical properties is the change of cluster type in the system due to the incorporation of nanophases with different structures.

The effect of the volume fraction of nanocrystals on the macroscopic mechanical properties and microscopic atomic structure of Fe-based nanocrystalline alloys, as well as the relationship between the two, is an urgent issue to be explored. Seven nanocrystalline alloys with different volume fractions of nanocrystals were formed by annealing treatment of (Fe0·9Ni0.1)86B14 amorphous precursor. Through hardness, flat plate bending, and nanoindentation experiments, it is found that when the volume fraction of nanocrystals reaches the range of 45–55 %, there is an abrupt change in the macroscopic mechanical properties. Specifically, when the volume fraction is less than this range, the properties inherit the amorphous matrix, however, larger than this range, the properties are dominated by precipitated nanocrystalline phases. Meanwhile, based on the molecular dynamics simulation method, seven Fe90Ni10 amorphous nanocrystalline models with different volume fractions of body-centered cubic nanocrystals are established, and the deformation mechanism of models and the evolution of their microstructures during the nanoindentation process are obtained intuitively. Moreover, it is further revealed that the significant changes in the Voronoi polyhedral index, which represents the microscopic atomic structure in this range of nanocrystal volume fractions, are the main reason for the abrupt changes in the mechanical properties at the macroscopic level.

The ultra-thick coal seam has a large mining space and a wide range of overburden disturbance. The strong disturbance of loading and unloading caused by the roof collapse can easily exacerbate the failure of floor faults. Studying the mechanism of the linkage effect between water inrush from the floor fault and roof collapse in ultra-thick coal seam through numerical simulation is the basis for water hazard prevention and control. The key lies in understanding the coupling characteristics of progressive rock failure and fracture flow under loading and unloading. In this study, the evolution equations of tension and shear damage under loading and unloading were constructed, and combined with the yield criterion and plastic potential function with effective partial/spherical stress as the basic variable, the plastic-damage constitutive model of intact rock was obtained. The relationship between plastic displacement and strength deterioration during tension/shear/mixed loading and unloading was established, using the square tensile shear stress and B-K criterion as initial and complete fracture criteria, the fracture constitutive model of non-penetrating fracture was formed. The separation, compression and shear criteria of discrete rock blocks were put forward, and the extrusion, shear friction constitutive and dilation equations between discrete blocks were established based on experimental data. Based on the conservation of mass/momentum, the equation of state, and combined with the method of fluid volume and immersion boundary, the simulation theory of gas-water two-phase flow in the fractured rock mass was formed. Thus, the CFDEM numerical calculation program was developed, and the plastic damage, fracture, extrusion/friction, and fluid properties under loading and unloading were assigned to solid elements (rock blocks), cohesion elements (non-penetrating cracks), contact pairs (penetrating cracks), and Euler units (water and gas) respectively. According to the engineering geological conditions in the northern mining area of Ningwu coalfield, a numerical calculation model of linkage effect between water inrush from floor fault and roof collapse in extra-thick coal seam was established. The results indicate that ① the CFDEM coupling program and corresponding theoretical models can numerically achieve the transformation of overlying rocks and floor faults in ultra-thick coal seams from quasi-continuous to discrete rock, as well as the migration of groundwater in fractures. ② Under simulated conditions, the mining fractures envelope line of the fault floor of the ultra-thick coal seam is w-shaped, with the deepest point exceeding 55 m located on the fault and its hanging wall, the shallowest point 23 m located on the footwall of the fault, and the failure depth at the intact floor is 24−36 m, which has already connected to the Ordovician limestone aquifer. ③ Secondary damage is commonly observed on the floor of ultra-thick coal seam. The failure depth of the intact floor at the advanced working face is 24.0−29.3 m, but it generally increases to 31.5−36.0 m in the goaf. The total cracks opening of the fault and its hanging wall at the advanced working face is 0.34−0.86 m, but it rapidly increases to 3.6 m in the goaf, forming a dominant channel for water inrush. ④ The linkage effect of water inrush from floor fault and roof collapse is rooted in the collapse instability of key strata in overlying strata, the sinking of masonry beams and the secondary fracture, which leads to the secondary damage of floor and aggravates the risk of water inrush.

With the rapid advancement of 5G technology, the Internet of Things (IoT) has entered a new phase of applications and is rapidly becoming a significant force in promoting economic development. Due to the vast amounts of data created by numerous 5G IoT devices, the Ethereum platform has become a tool for the storage and sharing of IoT device data, thanks to its open and tamper-resistant characteristics. So, Ethereum account security is necessary for the Internet of Things to grow quickly and improve people's lives. By modeling Ethereum transaction records as a transaction network, the account types are well identified by the Ethereum account classification system established based on Graph Neural Networks (GNNs). This work first investigates the Ethereum transaction network. Surprisingly, experimental metrics reveal that the Ethereum transaction network is neither optimal nor even satisfactory in terms of accurately representing transactions per account. This flaw may significantly impede the classification capability of GNNs, which is mostly governed by their attributes. This work proposes an Adaptive Multi-channel Bayesian Graph Attention Network (AMBGAT) for Ethereum account classification to address this difficulty. AMBGAT uses attention to enhance node features, estimate graph topology that conforms to the ground truth, and efficiently extract node features pertinent to downstream tasks. An extensive experiment with actual Ethereum transaction data demonstrates that AMBGAT obtains competitive performance in the classification of Ethereum accounts while accurately estimating the graph topology.

Abstract Background Treatment efficacy may differ among patients with nasopharyngeal carcinoma (NPC) at similar tumor–node–metastasis stages. Moreover, end-of-treatment tumor regression is a reliable indicator of treatment sensitivity. This study aimed to investigate whether quantitative dual-energy computed tomography (DECT) parameters could predict sensitivity to neck–lymph node radiotherapy in patients with NPC. Methods Overall, 388 lymph nodes were collected from 98 patients with NPC who underwent pretreatment DECT. The patients were divided into complete response (CR) and partial response (PR) groups. Clinical characteristics and quantitative DECT parameters were compared between the groups, and the optimal predictive ability of each parameter was determined using receiver operating characteristic (ROC) analysis. A nomogram prediction model was constructed and validated using univariate and binary logistic regression. Results DECT parameters were higher in the CR group than in the PR group. The iodine concentration (IC), normalized IC, Mix-0.6, spectral Hounsfield unit curve slope, effective atomic number, and virtual monoenergetic images were significantly different between the groups. The area under the ROC curve of the DECT parameters was 0.73–0.77. Based on the binary logistic regression, a column chart was constructed using 10 predictive factors, including age, sex, N stage, maximum lymph node diameter, arterial phase NIC, venous phase NIC, λHU and spectral Hounsfield units at 70 keV. The area under the ROC curve value of the constructed model was 0.813, with a sensitivity and specificity of 85.6% and 81.3%, respectively. Conclusion Quantitative DECT parameters could effectively predict the sensitivity of NPC to radiotherapy. Therefore, DECT parameters and NPC clinical features can be combined to construct a nomogram with high predictive power and used as a clinical analytical tool.

Abstract The stalk of Allium fistulosum contains dietary fibers with complicated monosaccharide composition and glycosidic bond linkages, which renders it a better dietary fiber supplement. However, the unfavorable odor, majorly contributed by allicin, limits its applications. Although many physical and chemical methods have been developed to remove allicin, there is currently no comparison between their efficiencies. Here, we comprehensively compare all these methods of eliminating allicin in the Allium stalk by starting with optimization of the allicin extraction method. Results indicate that incubation of the chopped Allium stalk with water for 20 min and extraction with 75% ethanol reached a maximal extraction yield. Different methods of allicin elimination are examined, and physical removal of allicin by blanching at 100 °C reaches a maximal clearance rate of 73.3%, rendering it the most efficient and effective method eliminating allicin from the stalk of Allium fistulosum for the preparation of a totally green dietary fiber.

Introduction: Entry into the viable but nonculturable (VBNC) state is a survival strategy adopted by bacteria to survive harsh environment. Although VBNC cells still have metabolic activity, they lose the ability to form colonies on nonselective culture media. Thus, conventional bacterial detection methods, such as plate counting, are unable to detect the presence of VBNC cells. When the environmental conditions are appropriate, VBNC cells can initiate resuscitation, posing a great risk to the safety of public health. The study of the VBNC resuscitation mechanism could provide new insights into the prevention and control of VBNC resuscitation. Objectives: Uncovering the molecular mechanism of VBNC cell resuscitation by investigating the role of O-antigen ligase (RfaL) in inhibiting the resuscitation of Escherichia coli O157:H7 in the VBNC state. Methods: RfaL was screened and verified as a resuscitation inhibitor of VBNC Escherichia coli O157:H7 by detecting resuscitation curve and time-lapse microscopy. The mechanism of RfaL impacts VBNC E. coli resuscitation was investigated by detecting the single cell ATP content, metabolomic changes, NAD(H) content and new protein biosynthesis of WT and ΔrfaL at different stage of resuscitation. Results: Mutation of rfaL, which encoded an O-antigen ligase, markedly shortened the resuscitating lag phase. Further studies indicated that ΔrfaL VBNC cells contained higher ATP levels, and ATP consumption during the resuscitating lag phase was highly correlated with resuscitation efficiency. Metabolomic analysis revealed that ATP was utilized to activate the Handler and salvage pathways to synthesize NAD+, balancing redox reactions to recover cell activity and promote cell resuscitation. Conclusion: Our findings revealed a strategy employed by VBNC cells for revival, that is, using residual ATP to primarily recover metabolic activity, driving cells to exit dormancy. The synthesis pathway of lipopolysaccharide (LPS) in rfaL null mutant was inhibited and could supply more ATP to synthesis NAD+ and promote resuscitation.

Abstract Osteoarthritis (OA) is marked by cartilage deterioration, subchondral bone changes, and an inflammatory microenvironment. The study introduces the Microneedle‐Delivered Polydopamine‐Exosome (PDA@Exo MN), a therapeutic that not only preserves cartilage and promotes bone regeneration but also improves localized drug delivery through enhanced penetration capabilities. PDA@Exo MN shows strong reactive oxygen species (ROS) scavenging abilities and high biocompatibility, fostering osteogenesis and balancing anabolic and catabolic processes in cartilage. It directs macrophage polarization from M0 to the anti‐inflammatory M2 phenotype. RNA sequencing of treated chondrocytes demonstrates restored cellular function and activated antioxidant responses, with modulated inflammatory pathways. The PI3K‐AKT‐mTOR pathway's activation, essential for PDA@Exo's effects, is confirmed via bioinformatics and Western blot. In vivo assessments robustly validate that PDA@Exo MN prevents cartilage degradation and OA progression, supported by histological assessments and micro‐CT analysis, highlighting its disease‐modifying impact. The excellent biocompatibility of PDA@Exo MN, verified through histological (H&E) and blood tests showing no organ damage, underscores its safety and efficacy for OA therapy, making it a novel and multifunctional nanomedical approach in orthopedics, characterized by organ‐friendliness and biosecurity.

FK506-binding protein 9 (FKBP9) is involved in tumor malignancy by resistance to endoplasmic reticulum (ER) stress, and the up-regulation of FKBP9 is associated with patients' poor prognosis. The current knowledge of the molecular mechanisms is still limited. One previous study showed that FKBP9 could confer glioblastoma cell resistance to ER stress through ASK1-p38 signaling. However, the upstream regulatory mechanism of FKBP9 expression is still indistinct. In this study, we identified the FKBP9 binding proteins using co-immunoprecipitation followed by mass spectrometry. Results showed that FKBP9 interacted with the binding immunoglobulin protein (BiP). BiP bound directly to FKBP9 with high affinity. BiP prolonged the half-life of the FKBP9 protein and stabilized the FKBP9 protein. BiP and FKBP9 protein levels were positively correlated in patients with glioma, and patients with high expression of BiP and FKBP9 showed a worse prognosis. Further studies showed that FKBP9 knockout in genetically engineered mice inhibited intracranial glioblastoma formation and prolonged survival by decreasing cellular proliferation and ER stress-induced CHOP-related apoptosis. Moreover, normal cells may depend less on FKBP9, as shown by the absence of apoptosis upon FKBP9 knockdown in a non-transformed human cell line and overall normal development in homozygous knockout mice. These findings suggest an important role of BiP-regulated FKBP9-associated signaling in glioma progression and the BiP–FKBP9 axis may be a potential therapeutic target for glioma.

Purpose Large language models (LLMs) are deep learning models designed to comprehend and generate meaningful responses, which have gained public attention in recent years. The purpose of this study is to evaluate and compare the performance of LLMs in answering questions regarding breast cancer in the Chinese context. Material and Methods ChatGPT, ERNIE Bot, and ChatGLM were chosen to answer 60 questions related to breast cancer posed by two oncologists. Responses were scored as comprehensive, correct but inadequate, mixed with correct and incorrect data, completely incorrect, or unanswered. The accuracy, length, and readability among answers from different models were evaluated using statistical software. Results ChatGPT answered 60 questions, with 40 (66.7%) comprehensive answers and six (10.0%) correct but inadequate answers. ERNIE Bot answered 60 questions, with 34 (56.7%) comprehensive answers and seven (11.7%) correct but inadequate answers. ChatGLM generated 60 answers, with 35 (58.3%) comprehensive answers and six (10.0%) correct but inadequate answers. The differences for chosen accuracy metrics among the three LLMs did not reach statistical significance, but only ChatGPT demonstrated a sense of human compassion. The accuracy of the three models in answering questions regarding breast cancer treatment was the lowest, with an average of 44.4%. ERNIE Bot's responses were significantly shorter compared to ChatGPT and ChatGLM ( p

Identification of anthocyanin relies heavily on authentic anthocyanin standards and the detection instruments employed, and both of these made tremendous improvement in the past decades. Here, with 118 authentic anthocyanin standards and state-of-the-art detection method, we comprehensively analyze the anthocyanin composition of the most commonly seen, deep-colored berries and grains in China. Cyanidin-3-O-glucoside is the overwhelmingly major anthocyanin in all the berries and grains examined, including blue honeysuckle, blueberry, cranberry, elderberry, mulberry, black rice, and black soybean, which accounts for an average of 82% of the total anthocyanins with a little variation between them. Peonidin-3-O-glucoside is the second most abundant anthocyanin ranging from 2.6%–14.9% of the total anthocyanins. Pelargonidin-3,5-O-diglucoside is only found in blue honeysuckle, and besides that, berries and grains share a dominant portion of common anthocyanins among them. This study primes the survey of anthocyanin in common Chinese foods for the establishment of a nutrition database.

Based on digital cores of oil shale obtained from high-temperature steam in-situ pyrolysis and micro-CT scanning experiments, the real structures of oil shale after pyrolysis at different temperatures were seamlessly integrated into COMSOL through precise grid partitioning. This enabled the simulation of in-situ steam-assisted oil recovery two-phase flow fields. The study examines the dynamic evolution of phase interfaces, pressure fields, velocity fields, and oil displacement efficiency during the in-situ two-phase flow process in pore structures with varying degrees of development. The research indicates that: Firstly, the development and connectivity of pore structures significantly influence the advancement speed of the phase interface — the better the pore structure development, the faster the phase interface advances. Secondly, as seepage progresses, the stability of phase interface advancement improves, with the difference between the peak δa value before stabilization and the stabilized δa value decreasing over time. Thirdly, at the moment of steam injection, a surge in Pa within the seepage zone occurs. The complexity of the pore structure effectively mitigates the surge in Pa caused by the instantaneous gas drive effect. Finally, the total seepage volumetric flow rate Qtotal increases with time. The oil production ratio α at the outlet decreases slightly with time, but remains above 97.6 %, demonstrating the effectiveness of steam-assisted oil recovery.

The thermodynamic properties of boron nitride under extreme pressures and temperatures are of great interest and importance for materials science and inertial confinement fusion physics, but they are poorly understood owing to the challenges of performing experiments and realizing ab initio calculations. Here, we report the first shock Hugoniot data on hexagonal boron nitride at pressures of 5–16 Mbar, using hohlraum-driven shock waves at the SGIII-p laser facility in China. Our density functional theory molecular dynamics calculations closely match experimental data, validating the equations of state for modeling the shock response of boron nitride and filling a crucial gap in the knowledge of boron nitride properties in the region of multi-Mbar pressures and eV temperatures. The results presented here provide fundamental insights into boron nitride under the extreme conditions relevant to inertial confinement fusion, hydrogen–boron fusion, and high-energy-density physics.

Sepsis is a life-threatening syndrome of organ dysfunction, characterized by uncontrolled inflammatory response and immune dysregulation, often leading to multiple organ failure and even death. Specialized pro-resolving mediators (SPMs), which are typically thought to be formed via consecutive steps of oxidation of polyenoic fatty acids, have been shown to suppress inflammation and promote timely resolution of inflammation. They are mainly divided into four categories: lipoxins, resolvins, protectins, and maresins. The SPMs may improve the prognosis of sepsis by modulating the immune and inflammatory balance, thereby holding promise for clinical applications. However, their biosynthetic and pharmacological properties are very complex. Through a literature review, we aim to comprehensively elucidate the protective mechanisms of different SPMs in sepsis and its organ damage, in order to provide sufficient theoretical basis for the future clinical translation of SPMs.

Steam convective heating emerges as a sustainable and effective method for extracting oil shale, where understanding the temperature-dependent evolution of its pyrolytic characteristics, microstructure, and permeability is vital for efficient resource extraction. Through a stress-sensitive micro-CT scanning and a high-temperature and pressure triaxial test apparatus, this research utilizes Balikun oil shale samples to investigate the changes in microstructure and gas production from 20 °C to 550 °C. The study integrates theoretical analysis and numerical simulations to uncover the fundamental connections between internal permeability and heat transfer mechanisms during steam injection. It reveals that oil shale undergoes two critical evolutionary phases: a stability phase below 350 °C, where volatile dispersion occurs, and a rapid increase phase above 350 °C, marked by significant microstructural changes from micro-fractures to extensive through-going fractures due to intense thermal decomposition. This decomposition leads to increased gas production and enhanced thermal fracturing. The threshold temperature is identified at 400 °C, above which the oil shale's mechanical strength and pore pressure increase, leading to decreased volumetric compression until stabilization. These findings demonstrate that higher temperatures enhance fracture connectivity and steam flow, optimizing the heating efficiency in oil shale extraction.

Abstract In recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditing methods, there are inefficiencies in data integration and analysis, making it difficult to achieve deep correlation analysis and risk identification among data. Additionally, decision support systems in the auditing process may face issues of insufficient information interpretability and limited predictive capability, thus affecting the quality of auditing and the scientificity of decision-making. However, knowledge graphs, by constructing rich networks of entity relationships, provide deep knowledge support for areas such as intelligent search, recommendation systems, and semantic understanding, significantly improving the accuracy and efficiency of information processing. This presents new opportunities to address the challenges of traditional auditing techniques. In this paper, we investigate the integration of intelligent auditing and knowledge graphs, focusing on the application of knowledge graph technology in auditing work for power engineering projects. We particularly emphasize mainstream key technologies of knowledge graphs, such as data extraction, knowledge fusion, and knowledge graph reasoning. We also introduce the application of knowledge graph technology in intelligent auditing, such as improving auditing efficiency and identifying auditing risks. Furthermore, considering the environment of cloud-edge collaboration to reduce computing latency, knowledge graphs can also play an important role in intelligent auditing. By integrating knowledge graph technology with cloud-edge collaboration, distributed computing and data processing can be achieved, reducing computing latency and improving the response speed and efficiency of intelligent auditing systems. Finally, we summarize the current research status, outlining the challenges faced by knowledge graph technology in the field of intelligent auditing, such as scalability and security. At the same time, we elaborate on the future development trends and opportunities of knowledge graphs in intelligent auditing.

Abstract Aging is a recognized risk factor for periodontitis, while biological aging could provide more accurate insights into an individual's functional status. This study aimed to investigate the potential association between biological aging and periodontitis. Epidemiological data from 9803 participants in the 2009–2014 National Health and Nutrition Examination Survey were analyzed at a cross-sectional level to assess this link. Three biological ages [Klemera–Doubal method (KDM), PhenoAge, and homeostatic dysregulation (HD)] and two measures of accelerated biological aging (BioAgeAccel and PhenoAgeAccel) were set as primary exposure and were calculated. Logistic regression and restricted cubic spline regression were employed to examine the relationship between biological aging and periodontitis. Additionally, Mendelian randomization analysis was conducted to explore the causal connection between accelerated biological aging and periodontitis. After adjusting for age, gender, race, educational level, marital status, ratio of family income, and disease conditions, this study, found a significant association between subjects with older higher biological ages, accelerated biological aging, and periodontitis. Specifically, for a per year increase in the three biological ages (HD, KDM, and PhenoAge), the risk of periodontitis increases by 15%, 3%, and 4% respectively. Individuals who had positive BioAgeAccel or PhenoAgeAccel were 20% or 37% more likely to develop periodontitis compared with those who had negative BioAgeAccel or PhenoAgeAccel. Furthermore, a significant non-linear positive relationship was observed between the three biological ages, accelerated biological aging, and periodontitis. However, the Mendelian randomization analysis indicated no causal effect of accelerated biological aging on periodontitis. Our findings suggest that biological aging may contribute to the risk of periodontitis, highlighting the potential utility of preventive strategies targeting aging-related pathways in reducing periodontitis risk among older adults.

Depressants are crucial for the selective separation of mineral flotation. Depressants can be classified into organic and inorganic depressants. Inorganic depressants have the disadvantages of toxicity, large dosage, and poor separation efficiency. Therefore, organic depressants are more suitable for mineral separation due to their advantages of biodegradability, comprehensive source, environmentally friendly, and high selectivity. Carboxymethyl cellulose (CMC) is an efficient, nontoxic, and biodegradable mineral-processing depressant widely used in the selective flotation of typical sulfide ores. CMC is one of the essential reagents for cyanide-free and dichromate-free flotation. Therefore, applying and promoting the use of CMC has positive practical significance environmentally. Although research on applying CMC in mineral processing has been conducted in the past, the depression effect of CMC on sulfide ore flotation and its influencing factors have not been systematically summarized. Many sulfide ores frequently coexist with magnesium-containing silicate minerals, such as talc. Adding CMC has a depression effect on sulfide ore and gangue minerals, such as talc. This paper reviews the depression mechanism of CMC on typical sulfide ores, such as galena, chalcopyrite, and pyrite. The results show that the depression effect of CMC on typical sulfide ores is primarily related to the carboxyl and hydroxyl groups in CMC. Both groups depress the typical sulfide ore through hydrogen bonding, electrostatic interaction, and chemical action on the mineral surface. There is a view that the depression of CMC on pyrite relates to its supramolecular conformation. Furthermore, this paper summarizes the depression mechanism of CMC on magnesium-containing silicate gangue. Magnesium silicate gangue, represented by talc, easily clots during grinding, increasing the beneficiation challenges. By adding CMC, the surface wettability can be adjusted and, thus, depress gangue. Finally, this paper systematically expounds on the influence of CMC’s properties, pulp pH, presence of other metal ions, reagent dosage, reagent addition order, and other factors on CMC depression performance in sulfide ore flotation. The summary of the depression effect and influencing factors of CMC can guide and provide a reference for improving the selectivity of reagents and developing new high-efficiency organic depressants. It is of great practical significance to realize the efficient separation of valuable and gangue minerals in sulfide ore flotation.

Abstract When high-temperature steam is used as a medium to pyrolyze organic-rich shale, water steam not only acts as heat transfer but also participates in the chemical reaction of organic matter pyrolysis, thus affecting the generation law and release characteristics of gas products. In this study, based on a long-distance reaction system of organic-rich shale pyrolysis via steam injection, the effects of steam temperature and reaction distance on gas product composition are analyzed in depth and compared with other pyrolysis processes. The advantages of organic-rich shale pyrolysis via steam injection are then evaluated. The volume concentration of hydrogen in the gas product obtained via the steam injection pyrolysis of organic-rich shale is the highest, which is more than 60%. The hydrogen content increases as the reaction distance is extended; however, the rate of increase changes gradually. Increasing the reaction distance from 800 to 4000 mm increases the hydrogen content from 34.91% to 69.68% and from 63.13% to 78.61% when the steam temperature is 500 °C and 555 °C, respectively. However, the higher the heat injection temperature, the smaller the reaction distance required to form a high concentration hydrogen pyrolysis environment (hydrogen concentration > 60%). When the steam pyrolysis temperature is increased from 500 °C to 555 °C, the reaction distance required to form a high concentration of hydrogen is reduced from 3800 to 800 mm. Compared with the direct retorting process, the volume concentration of hydrogen obtained from high-temperature steam pyrolysis of organic-rich shale is 8.82 and 10.72 times that of the commonly used Fushun and Kivite furnaces, respectively. The pyrolysis of organic-rich shale via steam injection is a pyrolysis process in a hydrogen-rich environment.

Abstract The clinical significance of the combination of neutrophil–lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) is unclear. This study investigated the predictive value of pretreatment NLR (pre-NLR) combined with pretreatment PLR (pre-PLR) for the survival and prognosis of nasopharyngeal carcinoma (NPC). A total of 765 patients with non-metastatic NPC from two hospitals were retrospectively analyzed. The pre-NLR-PLR groups were as follows: HRG, high pre-NLR and high pre-PLR. MRG, high pre-NLR and low pre-PLR or low pre-NLR and high pre-PLR. LRG, neither high pre-NLR nor high pre-PLR. Receiver operating characteristic (ROC) curves were used to identify the cutoff-value and discriminant performance of the model. We compared survival rates and factors affecting the prognosis among different groups. The 5-year overall survival (OS), local regional recurrence-free survival (LRRFS) and distant metastasis-free survival (DMFS) of NPC patients in HRG were significantly poorer than those in MRG and LRG. The pre-NLR-PLR score was positively correlated with T stage, clinical stage, ECOG, and pathological classification. Multivariate cox regression analysis showed that pre-NLR-PLR scoring system, ECOG, pre-ALB, pre-CRP and pre-LMR were independent risk factors affecting 5-year OS, LRRFS and DMFS. The ROC curve showed that area under the curve (AUC) values of pre-NLR-PLR of 5-year OS, LRRFS and DMFS were higher than those of pre-NLR and pre-PLR. pre-NLR-PLR is an independent risk factor for the prognosis of NPC. The pre-NLR-PLR scoring system can be used as an individualized clinical assessment tool to predict the prognosis of patients with non-metastatic NPC more accurately and easily.

Abstract Background Ovarian cancer (OC) is characterized by its rapid growth and spread which, accompanied by a low 5-year survival rate, necessitates the development of improved treatments. In ovarian cancer, the selective overexpression of Mucin-16 (MUC16, CA125) in tumor cells highlights its potential as a promising target for developing anti-tumor therapies. However, the potential effectiveness of CAR-T cell therapy that targets MUC16 in ovarian cancer cells is unknown. Methods The expression of MUC16 in viable OC cells was detected using immunofluorescence and flow cytometry techniques. A MSLN-CAR construct, comprising the MUC16-binding polypeptide region of mesothelin (MSLN), a CD8 hinge spacer and transmembrane domain, 4-1BB, and CD3ζ endo-domains; was synthesized and introduced into T cells using lentiviral particles. The cytotoxicity of the resultant CAR-T cells was evaluated in vitro using luciferase assays. Cytokine release by CAR-T cells was measured using enzyme-linked immunosorbent assays. The anti-tumor efficacy of the CAR-T cells was subsequently assessed in mice through both systemic and local administration protocols. Results MSLN-CAR T cells exhibited potent cytotoxicity towards OVCAR3 cells and their stem-like cells that express high levels of MUC16. Also, MSLN-CAR T cells were inefficient at killing SKOV3 cells that express low levels of MUC16, but were potently cytotoxic to such cells overexpressing MUC16. Moreover, MSLN-CAR T cells delivered via tail vein or peritoneal injection could shrink OVCAR3 xenograft tumors in vivo, with sustained remission observed following peritoneal delivery of MSLN-CAR T cells. Conclusions Collectively, these results suggested that MSLN-CAR T cells could potently eliminate MUC16- positive ovarian cancer tumor cells both in vitro and in vivo, thereby providing a promising therapeutic intervention for MUC16-positive patients.

Abstract Background There have been no reports on the successful implementation of stellate ganglion block (SGB) in mice. Objectives This study aims to investigate a new method for implementing SGB in mice by placing them in a supine position with abducted upper limbs and touching the trachea and sternoclavicular joint with the hand. Methods Fifty BABL/C mice, 8–10 weeks, were selected and randomly divided into four groups: control group (n = 5); SGB-R group (n = 15); SGB-L group (n = 15); and SGB-L + R (group n = 15). SGB was administered with 0.15% ropivacaine solution in a volume of 0.1 mL. The control group received equal volumes of saline. Horner's syndrome, heart rate, and complications such as brachial plexus block, vascular injury, pneumothorax, local anesthetic toxicity, and death were observed. Results Horner's syndrome developed in 100% of SGB surviving mice; no difference was seen in the time to onset (100.4 ± 13.4 vs 96.7 ± 12.4, mean ± SD, seconds) and duration (264.1 ± 40.5 vs 296.3 ± 48.0, mean ± SD, min) of Horner's syndrome in the left and right SGB (P > 0.05). Compared with the control group (722 [708–726], median [IQR], bpm), the heart rate was significantly slowed down in the right SGB (475 [451.5–491], median [IQR], bpm) (P 0.05). The overall complication rate was 18.4%, with a brachial plexus block rate of 12.3%, a vascular injury rate of 4.6%, and a mortality rate of 1.5%, as well as no local anesthetic toxicity (includes bilateral implementation of SGB) or pneumothorax manifestations were found. Conclusions This method allows for the successful implementation of SGB in a mouse model.

Objective To investigate the correlation between heart rate variability (HRV) and the degree of nervousness before blood donation. Methods The psychological state of 253 blood donors before blood donation was assessed by the self-rating anxiety scale (SAS) and the degree of nervousness and their HRV were measured. The correlation between the SAS score, the degree of nervousness and the HRV parameters was analyzed, and the differences were compared among different types of donors by multivariate linear regression. Results A total of 247 blood donors were included in the study. Five HRV parameters in blood donors aged 18-24 were higher than in those aged 25 years and above(all P

Purposes In the process of in-situ steam-assisted oil shale extraction, the shear strength of oil shale plays a crucial role in the stability of injection and production wells as well as the mining gallery. Additionally, the shear strength of rock formation is influenced by temperature. The variations in the shear characteristics of oil shale under different temperatures and shear angles are investigated. Methods A steam generation apparatus was employed to heat the oil shale. In the experimental setup, steam temperatures were set at 100, 200, 300, 400, and 500 ℃, separately. Subsequently, the steam-treated oil shale was subjected to variable-angle shear experiments at shear angles of 45°, 55°, and 65°. According to the experiment results, the variable-angle shear parameters and peak shear strain of the oil shale were calculated. Furthermore, an analysis of the shear failure characteristics of the oil shale following exposure to different steam conditions was conducted. Findings The research findings can be summarized as follows: 1) At steam temperatures below 300 ℃, oil shale exhibits pronounced brittle failure characteristics, while at temperatures of 400 ℃ and 500 ℃, ductile failure characteristics becomes more evident; 2) The cohesion of oil shale first increases and then decreases with the increase of steam temperature. Similarly, the internal friction angle decreases initially with rising steam temperature, followed by an increase. The shear strength decreases as the shear angle increases; 3) The peak shear strain of the oil shale increases with steam temperature rising, and high shear angle has a significant impact on the peak shear strain of the rock; 4) The shear failure mode of the oil shale transitions from penetrating failure to combined failure with an increase in steam temperature, along with an increase in secondary cracks.

Abstract Background Cricothyrotomy is a lifesaving surgical technique in critical airway events. However, a large proportion of anesthesiologists have little experience with cricothyrotomy due to its low incidence. This study aimed to develop a multisensory, readily available training curriculum for learning cricothyrotomy and evaluate its training effectiveness. Methods Seventy board-certificated anesthesiologists were recruited into the study. Participants first viewed an instructional video and observed an expert performing the bougie-assisted cricothyrotomy on a self-made simulator. They were tested before and after a one-hour practice on their cricothyrotomy skills and evaluated by a checklist and a global rating scale (GRS). Additionally, a questionnaire survey regarding participants’ confidence in performing cricothyrotomy was conducted during the training session. Results The duration to complete cricothyrotomy was decreased from the pretest (median = 85.0 s, IQR = 72.5–103.0 s) to the posttest (median = 59.0 s, IQR = 49.0–69.0 s). Furthermore, the median checklist score was increased significantly from the pretest (median = 30.0, IQR = 27.0-33.5) to the posttest (median = 37.0, IQR = 35.5–39.0), as well as the GRS score (pretest median = 22.5, IQR = 18.0–25.0, posttest median = 32.0, IQR = 31.0-33.5). Participants’ confidence levels in performing cricothyrotomy also improved after the curriculum. Conclusion The simulation-based training with a self-made simulator is effective for teaching anesthesiologists to perform cricothyrotomy.

Purpose – The managerial questions of this paper are as follows, and the authors are trying to solve them: How revenue sharing contract (CSR) degree and government subsidy affect the agri-food quality? What kind of model (WPC, revenue-sharing contract [RSC] and cooperative) would be more effective in motivating manufacturers and retailer to increase effort and improve agri-food quality? What kind of model (WPC, RSC and cooperative) would make manufacturer and retailer better off? Design/methodology/approach – Considering the jointing quality effort and contract decision in green agri-food supply chain, this paper proposes six models that consider CSR of manufacturer and retailer, and then the obtained optimal solutions are compared and analyzed. At the same time, the impact of government subsidies is analyzed, and corresponding conclusions are drawn. Findings – The results show that, first of all, whether the increasing CSR of the manufacturer or the retailer can motivate both parties to improve the agri-food quality effort investment. Second, the WPC and RSC contract may play different role in different cases. Finally, under the model with government subsidies, regarding positive influence of government subsidies on efforts of manufacturer and retailer, quality and profits of members is investigated. Based on these conclusions, this study puts forward the following policy suggestions. Firstly, governments should formulate reasonable subsidy policies to support manufacturer and retailer to improve the agri-food quality, thereby promoting green industries' development. Secondly, manufacturer and retailer should actively improve CSR and strengthen the effort of agri-food so as to advance quality. Finally, manufacturer and retailer can choose cooperative model or WPC contract. Research limitations/implications – In this paper, one manufacturer and one retailer are considered. Since the agri-food supply chain structure in reality is more complicated, the future research direction can consider the supply chain structure with one manufacturer and multiple retailers. In addition, this paper only considers the subsidy, and future research can classify the subsidy into different types. Originality/value – The study makes two substantive contributions to the body of knowledge in the field of sustainable operations:(1) incorporating quality-based demand function in supply chain and dynamic process of agri-food quality; (2) exploring the impact of CSR awareness of members and subsidy of government on agri-food quality, and comparing the influence in different models.

Abstract The mechanisms underlying the organization and evolution of the telencephalic pallium are not yet clear.. To address this issue, we first performed comparative analysis of genes critical for the development of the pallium (Emx1/2 and Pax6) and subpallium (Dlx2 and Nkx1/2) among 500 vertebrate species. We found that these genes have no obvious variations in chromosomal duplication/loss, gene locus synteny or Darwinian selection. However, there is an additional fragment of approximately 20 amino acids in mammalian Emx1 and a poly-(Ala)6–7 in Emx2. Lentiviruses expressing mouse or chick Emx2 (m-Emx2 or c-Emx2 Lv) were injected into the ventricle of the chick telencephalon at embryonic Day 3 (E3), and the embryos were allowed to develop to E12–14 or to posthatchling. After transfection with m-Emx2 Lv, the cells expressing Reelin, Vimentin or GABA increased, and neurogenesis of calbindin cells changed towards the mammalian inside-out pattern in the dorsal pallium and mesopallium. In addition, a behavior test for posthatched chicks indicated that the passive avoidance ratio increased significantly. The study suggests that the acquisition of an additional fragment in mammalian Emx2 is associated with the organization and evolution of the mammalian pallium.

Diabetes disease caused by hyperglycemia has many complications, including cardiovascular disease, kidney disease and visual impairment. Effective and stable platform of enzyme-free glucose detection is significant important for the monitoring of diabetes disease. In this work, uniform single MXene layers were fabricated with large scale through HCl/LiF etching and tapered gold nanostructures (AuTNs) was electrodeposited on the MXene layers. The AuTNs with three-dimensional conical apex on the MXene layers can effectively increase the specific surface ratio and active sites. The composite materials of AuTNs and MXene layers assembled on the glassy carbon electrode (GCE) can significantly increase the electrochemical performance during glucose detection. The modified electrode of AuTNs/MXene/GCE shows good linearity from 0.1 nM to 10.0 mM, low limit of detection (LOD) of 1.43 nM and fast response time of 1.0 s, exhibiting high sensitivity, good stability and high selectivity for glucose during electrochemical detection. The high performance of the modified electrode provides promising potential application in enzyme-free sensor for the electrochemical detection of glucose.

The dynamic changes in grassland types are crucial for conserving grassland biodiversity, conducting comprehensive health assessments, and gaining insights into ecosystem evolution. However, accurately mapping grassland types remains an ongoing challenge, especially over large areas. In response, we developed a hierarchical classification framework using random forest to tackle this task. This framework was structured into two tiers: land cover (LC) classification and grassland-type mapping, with each tier using specific features tailored to its respective objectives. In this framework, LC samples were automatically generated using existing LC products combined with vegetation indices and phenological features. We fused spectral information, phenological features, and habitat factors such as topographic indices, soil, and climate from multisource earth observation (EO) data to enhance grassland-type mapping performance. This framework successfully generated distribution maps of grassland types on the Qinghai Plateau for the years 1990–2020. Our findings revealed the following: (1) Using the two-tier classification framework and fusing multisource features, an ideal distribution map of grassland types was obtained, with a macro-average F1 score (F1) of 91% and an overall accuracy (OA) of 96%; (2) Compared to a one-shot classification framework, the two-tier classification framework achieved higher accuracy, with F1 and OA increasing by 11% and 7%, respectively; (3) Climate, topographical, soil, and phenological features assisted in distinguishing grassland types with similar spectral characteristics, especially for zonal grasslands. Adding these features increased F1 by 21%, 10%, 7%, and 3%, respectively, while OA increased by 9%, 5%, 5%, and 2%, respectively. Among these features, relative humidity, total precipitation from May to September, geographic coordinates, and elevation had the greatest effect on grassland type differentiation. June and July were the optimal phenological periods for mapping; (4) Over the 30-year period, the grasslands on the Qinghai Plateau showed an expanding trend, with extensive areas of alpine steppes transforming into alpine meadows. The results of this study provide the first elucidation of grassland-type changes across the Qinghai Plateau from 1990 to 2020. Moreover, they underscore the potential of hierarchical classification frameworks and the integration of multisource EO data in mapping grassland-type distribution.

The Kirkpatrick–Baez (KB) microscope is an effective instrument for x-ray imaging of hot spot. However, the non-uniform distribution of response efficiency in the field of view is a drawback of the KB microscope. A more accurate hot spot image requires the correction of the measured image by combining the hot spot position and the response efficiency distribution. Here, we describe a method to locate the position of the hot spot in the field of view during hot spot imaging with a KB microscope. The position of the hot spot in the field of view can be obtained by measuring the grazing incidence angle change during hot spot imaging. In the experiment of hot spot self-emission imaging with a four-channel KB microscope, the location of the hot spot with an accuracy of 15 μm was realized, and the intensity corrected hot spot image was obtained. This will solve the problem of the non-uniform distribution of the response efficiency of the KB microscope and enable quantitative measurement of hot spot radiation intensity.

Introduction: Inflammatory bowel disease (IBD) is a global health concern. Aloe-emodin (AE) has diverse pharmacological benefits, including anti-inflammatory effects. However, its role in IBD remains unclear, prompting our investigation of its regulatory effects and mechanisms in an IBD mouse model. Methods: We studied the therapeutic efficacy of AE in alleviating symptoms and modulating cytokine secretion in a murine model of dextran sulfate sodium (DSS)-induced colitis. BALB/c mice were administered DSS to induce colitis and were subsequently treated with varying doses of AE. Changes in body weight, fecal lipocalin-2 (LCN2) levels, colon tissue histology, and serum cytokine concentrations were evaluated to assess the effects of AE treatment. Additionally, 16 S rRNA sequencing was used to analyze alterations in the composition of the gut microbiota following AE intervention. Finally, the database was used to analyze the signaling pathways associated with IBD in AE and to detect the expression levels of interleukin (IL)-4 pathway using real-time quantitative reverse transcription PCR. Exogenous IL-4 was used in rescue experiments to observe its effects on the disease process of IBD under AE regulation. Results: AE treatment resulted in a dose-dependent mitigation of weight loss, reduction in fecal LCN2 levels, and amelioration of histological damage in DSS-induced colitis in mice. The levels of superoxide dismutase and catalase increased, whereas malondialdehyde decreased following AE treatment, indicating a dose-dependent alleviation of colitis symptoms. Furthermore, AE administration attenuated the secretion of pro-inflammatory cytokines, including IL-17, tumor necrosis factor-alpha (TNF-α), and chemokine ligand 1, while promoting the expression of anti-inflammatory cytokines IL-4 and IL-13. Analysis of the gut microbiota revealed that AE effectively suppressed the overgrowth of colitis-associated bacterial species and restored microbial homeostasis. Finally, we found that overexpression of IL-4 was able to reverse the therapeutic effect of AE for DSS-induced IBD. Conclusion: AE shows promise in alleviating colitis severity, influencing inflammatory cytokines, and modulating the gut microbiota in an IBD mouse model via the IL-4/IL-13 pathway, suggesting its potential as a natural IBD remedy.

Severe COVID-19 cases often progress to life-threatening conditions such as acute respiratory distress syndrome (ARDS), sepsis, and multiple organ dysfunction syndrome (MODS). Gelsolin (GSN), an actin-binding protein with anti-inflammatory and immunomodulatory properties, is a promising therapeutic target for severe COVID-19. Plasma GSN levels are significantly decreased in critical illnesses, including COVID-19, correlating with dysregulated immune responses and poor outcomes. GSN supplementation may mitigate acute lung injury, ARDS, and sepsis, which share pathophysiological features with severe COVID-19, by scavenging actin, modulating cytokine production, enhancing macrophage phagocytosis, and stabilizing the alveolar-capillary barrier. Preliminary data indicate that recombinant human plasma GSN improves oxygenation and lung function in severe COVID-19 patients with ARDS. Although further research is needed to optimize GSN therapy, current evidence supports its potential to mitigate severe consequences of COVID-19 and improve patient outcomes. This review provides a comprehensive analysis of the biological characteristics, mechanisms, and therapeutic value of GSN in severe COVID-19.

IntroductionStudents' self-regulation skills and self-efficacy are linked to performance and are considered essential for lifelong learning. Understanding these skills and their development is crucial for educational success and long-term personal growth.MethodsIn this study, 60 students attending a university-level collaborative design course were recruited as participants. They were initially classified into three groups [high, mixed, and low self-efficacy (SE)] based on the initial test results. Students' written reflections were then analyzed using epistemic network analysis (ENA), aiming to explore the characteristics and developmental trajectories of self-regulated learning (SRL).ResultsComparing with the other two groups, the high self-efficacy (HSE) group demonstrated: (1) more behavioral characteristics of SRL in the performance and self-reflection stages, (2) an earlier development of interest 91 in the task and recognition of its value during collaborative design activities, 92 followed by the utilization of more cognitive and metacognitive strategies; and (3) an “anticipation-behavior-reflection” loop in the self-regulation process.DiscussionThese findings highlight the importance of fostering high self-efficacy among students to enhance their self-regulated learning capabilities and overall academic performance. Strategies for improving learners' SRL and future research directions were provided accordingly.

Duchenne muscular dystrophy (DMD) is the most prevalent herediatry disease in men, characterized by dystrophin deficiency, progressive muscle wasting, cardiac insufficiency, and premature mortality, with no effective therapeutic options. Here, we investigated whether adenine base editing can correct pathological nonsense point mutations leading to premature stop codons in the dystrophin gene. We identified 27 causative nonsense mutations in our DMD patient cohort. Treatment with adenine base editor (ABE) could restore dystrophin expression by direct A-to-G editing of pathological nonsense mutations in cardiomyocytes generated from DMD patient-derived induced pluripotent stem cells. We also generated two humanized mouse models of DMD expressing mutation-bearing exons 23 or 30 of human dystrophin gene. Intramuscular administration of ABE, driven by ubiquitous or muscle-specific promoters could correct these nonsense mutations in vivo, albeit with higher efficiency in exon 30, restoring dystrophin expression in skeletal fibers of humanized DMD mice. Moreover, a single systemic delivery of ABE with human single guide RNA (sgRNA) could induce body-wide dystrophin expression and improve muscle function in rotarod tests of humanized DMD mice. These findings demonstrate that ABE with human sgRNAs can confer therapeutic alleviation of DMD in mice, providing a basis for development of adenine base editing therapies in monogenic diseases.

Textbooks have a crucial role in shaping students' knowledge, behaviors, and attitudes in different school subjects. This study compares the structure and content of science textbooks of grade nine in Egypt and China to reveal the common and different features in the textbook design. It opts for a horizontal analysis of four science textbooks in the associated countries. The results revealed that the distribution of science subjects has partial similarities to some extent among the preparatory stage between the Chinese and Egyptian science textbooks besides the overlapping in the associated topics, presenting Biology as a common subject of interest. Moreover, the number of activities distributed within units and subjects have the highest shares in the Chinese textbooks, and most of the activities in the Egyptian textbooks focused on Chemistry and Physics subjects. In addition to the structure analysis, this study also explored the textbooks content in both countries, covering three dimensions: (1) cognitive expectations, (2) learning goals, and (3) efficiency of illustration. The results provide valuable insights for textbook designers and curriculum developers to enhance the quality of science curricula and textbooks. Therefore, the study recommends considering instructional design and lesson plans when distributing the learning activities and developing international standards for designing school science textbooks.

ObjectiveTo investigate the application value of complete laparoscopy and Da Vinci robot esophagogastric anastomosis double muscle flap plasty in radical resection of proximal gastric cancer.MethodA retrospective descriptive study was used. The clinicopathological data of 35 patients undergoing radical operation for proximal gastric cancer admitted to Liaoning Cancer Hospital from January 2020 to December 2023 were collected. Variables evaluated: 1. Transoperative,2. Postoperative, 3. Follow-up. In relation to follow-up, esophageal disease status reflux, anastomosis, nutritional status score, serum hemoglobin, tumor recurrence, and metastasis were investigated. The trans and postoperative variables were obtained from the clinical records and the patients were followed up in outpatient department and by telephone.ResultAmong the 35 patients, 17 underwent robotic surgery and 18 underwent laparoscopic surgery. There were 29 males and 6 females. 1) Transoperative: Robotic surgery: The operation time was (305.59 ± 22.07) min, the esophagogastric anastomosis double muscle flap plasty time was (149.76 ± 14.91) min, the average number of lymph nodes cleared was 30, and the average intraoperative blood loss was 30 ml. Laparoscopic surgery: The mean operation time was 305.17 ± 26.92min, the operation time of esophagogastric anastomosis double muscle flap was (194.06 ± 22.52) min, the average number of lymph nodes cleared was 24, and the average intraoperative blood loss was 52.5 ml. 2) Postoperative: Robotic surgery: the average time for patients to have their first postoperative anal emission was 3 days, the average time to first postoperative feeding was 4 days, and the average length of hospitalization after surgery was 8 days. Laparoscopic surgery: the average time for patients to have their first postoperative anal emission was 5 days, the average time to first postoperative feeding was 6 days, the average length of hospitalization after surgery was 10 days. 3) Follow-up: The follow-up time ranged from 1 to 42 months, with a median follow-up time of 24 months.ConclusionComplete Da Vinci robot and laparoscopic esophagogastric anastomosis double muscle flap plasty for radical resection of proximal gastric cancer can minimize surgical incision, reduce abdominal exposure, accelerate postoperative recovery of patients, and effectively prevent reflux esophagitis and maintain good hemoglobin concentration and nutritional status. The advantages of robotic surgery is less intraoperative bleeding and faster post-surgical recovery, but it is relatively more expensive.

Study region: Southwestern China of Hubei, Hunan, Guangxi, Guangdong, Yunnan, Guizhou, Sichuan, and Chongqing. Study focus: Compound hot-dry extreme events (CHDEs) are escalating disproportionately worldwide, posing significant challenges across various sectors. Yet, their driving mechanisms and characteristics at a regional scale remain largely uncertain. This study used a copula-based approach to construct the daily Standardized Compound Hot-Dry Index (SCHDI) to discern the intensifying trends of hot-dry extremes from 1963 to 2022, especially under different karst landscapes in Southwestern China. New hydrological insights for the region: SCHDI variations show an escalation of hot-dry conditions across most areas, with a notable increase in extreme hot, dry, and hot-dry events. There was a consistent increase in the frequency, duration, severity, and intensity of CHDEs, with larger magnitudes observed in non-karst areas. However, karst regions exhibited a higher escalation rate in intensity, especially over the most recent three decades. Land areas affected by less severe CHDEs (e.g., abnormal: −0.31%/year) show decreasing trends over 1993–2022, while the most extreme category (e.g., extreme: 0.34%/year) has increased. The areas affected by CHDEs showed a greater increase in trend slope compared to hot or dry events alone. Additionally, these trends are further influenced by large-scale circulation patterns. Our study highlights the role of karst landscapes in escalating hot-dry extremes in Southwestern China Karst.

Abstract Background Calmodulins (CaMs)/CaM-like proteins (CMLs) are crucial Ca2+-binding sensors that can decode and transduce Ca2+ signals during plant development and in response to various stimuli. The CaM/CML gene family has been characterized in many plant species, but this family has not yet been characterized and analyzed in peanut, especially for its functions in response to Ralstonia solanacearum. In this study, we performed a genome-wide analysis to analyze the CaM/CML genes and their functions in resistance to R. solanacearum. Results Here, 67, 72, and 214 CaM/CML genes were identified from Arachis duranensis, Arachis ipaensis, and Arachis hypogaea, respectively. The genes were divided into nine subgroups (Groups I-IX) with relatively conserved exon‒intron structures and motif compositions. Gene duplication, which included whole-genome duplication, tandem repeats, scattered repeats, and unconnected repeats, produced approximately 81 pairs of homologous genes in the AhCaM/CML gene family. Allopolyploidization was the main reason for the greater number of AhCaM/CML members. The nonsynonymous (Ka) versus synonymous (Ks) substitution rates (less than 1.0) suggested that all homologous pairs underwent intensive purifying selection pressure during evolution. AhCML69 was constitutively expressed in different tissues of peanut plants and was involved in the response to R. solanacearum infection. The AhCML69 protein was localized in the cytoplasm and nucleus. Transient overexpression of AhCML69 in tobacco leaves increased resistance to R. solanacearum infection and induced the expression of defense-related genes, suggesting that AhCML69 is a positive regulator of disease resistance. Conclusions This study provides the first comprehensive analysis of the AhCaM/CML gene family and potential genetic resources for the molecular design and breeding of peanut bacterial wilt resistance.

Abstract Background In recent years, accelerated transcranial magnetic stimulation (aTMS) has been developed, which has a shortened treatment period. The aim of this study was to evaluate the efficacy and long-term maintenance effects of aTMS in patients with major depressive disorder (MDD). Methods We systematically searched online databases for aTMS studies in patients with MDD published before February 2023 and performed a meta-analysis on the extracted data. Results Four randomized controlled trials (RCTs) and 10 before-and-after controlled studies were included. The findings showed that depression scores significantly decreased following the intervention (SMD = 1.80, 95% CI (1.31, 2.30), p