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Abstract Nondestructive, rapid, and accurate detection of nutritional compositions in sorghum is crucial for agricultural and food industries. In our study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the research object. The visible near-infrared (VIS-NIR) hyperspectral of sorghum were measured by the indoor mobile scanning platform. The nutritional components were determined using chemical methods to analyze the differences in nutritional composition among different varieties. After preprocessing the original spectral, the competitive adaptive reweighted sampling (CARS) and bootstrapping soft shrinkage (BOSS) algorithms were used to coarsely extract the key variables. Subsequently, the iteratively retains informative variables (IRIV) was employed to assess the importance of these key variables, resulting in explanatory wavelength sets for crude protein, tannin, and crude fat. Finally, the partial least squares (PLS), back propagation (BP) and extreme learning machine (ELM) were utilized to establish detection models. The results indicated that the optimal wavelength variable sets for crude protein, tannin, and crude fat contained 41, 38, and 22 wavelength variables, respectively. The CARS-IRIV-PLS, BOSS-IRIV-PLS and BOSS-IRIV-ELM were suitable for detecting crude protein, tannin and crude fat, respectively. Meanwhile, the Rp 2, RMSEp and RPDp values of the model were 0.69, 0.80% and 1.80, 0.88, 0.22% and 2.84, 0.61, 0.32% and 1.61, respectively. These detection models can be used for the effective estimation of the nutritional compositions in sorghum with VIS-NIR spectral data, and can provide an important basis for the application of food nutrition assessment.

Abstract Riverine sediment flux on the Qinghai-Tibet Plateau follows separate trends in different headwater basins because of complicated pathways under global warming. Here we successfully reconstructed historical sediment fluxes from seven pathways at 25 hydrological stations during 1982 ~ 2022 using a conceptual Multivariate Climate Elasticity Model based on Taylor expansion and revealed the bifurcation in sediment flux trend. Significantly increasing trends occurred at five stations, caused either by elevated runoff from increased precipitation (contributing -10 ~ 50%) or by temperature modifying the underlying surface (-12 ~ 100%). Significantly decreasing trends were found at six stations, primarily owing to vegetation expansion (11 ~ 100%). Combinations of original vegetation condition and increasing rate of precipitation are pivotal for bifurcating the sediment flux trend. In the future, slowly increasing precipitation with greatly increasing temperature or poor original vegetation condition followed by rapid vegetation expansion may decelerate sediment yield, whereas rapidly increasing precipitation may overwhelm the marginal conservation effect of plentiful vegetation.

The scientific and reasonable island partition of microgrids containing DG is of great practical significance for ensuring the safe switching of microgrid island operation and improving the reliability of microgrid power supply. The existing island partitioning strategies focus on power balance and basic load distribution but often neglect multiple load attributes, resulting in failure to guarantee the reliability of the load power supply with a relatively high comprehensive evaluation level. Therefore, to comprehensively consider the influence of multiple load attributes on islanding, an island partitioning strategy based on entropy method-set pair analysis is proposed for microgrids in this paper. First, the entropy method is used to objectively assign the weights of three indexes of the level of the load, the economic loss of the load power outage and the coefficient of change per unit power. Next, the set pair analysis (SPA) principle is combined with the comprehensive connection degree of the index to determine the comprehensive connection degree of different loads while considering each index, and the connection degree is used as the final island partition power supply recovery coefficient of the load. Finally, the dynamic programming algorithm is used to solve the objective function of island partitioning. The IEEE-69 node system verifies the proposed strategy. The verification results show that compared with the existing methods, the proposed strategy can restore the power supply of the important load more effectively and reduce the economic loss when the load is cut off. The proposed island partitioning strategy shows significant potential in improving the reliability and economy of the power supply for microgrids with important loads, especially for microgrids with complex loads.

Abstract Activating protein 1 (AP-1) is a transcription factor composed of several protein families, Jun proteins and Fos proteins are the components of AP-1. AP-1 is involved in various cellular processes, such as proliferation, differentiation, apoptosis and inflammation. For tumor cells, AP-1 is considered to be a driver whose activity is associated with dysfunction and the onset, development, invasion, and migration of cancer. In addition, AP-1 has been reported to be involved in the drug resistance and radiation resistance of tumor cells during the treatment process. Therefore, AP-1 is a potential target for cancer therapy. At present, a number of inhibitors targeting AP-1 have been developed and have shown certain anti-cancer effects. However, due to the complex structure and function of AP-1, different structures of AP-1 show different effects in different tumor cells, and more studies are needed to reveal its mechanism of action. This article introduces the relationship between AP-1 and tumor development, summarize the current studies and developments of AP-1 related drugs, and provide the future development values of AP-1.

Background: Transcranial ultrasound stimulation (TUS) has shown promising prospects as a non-invasive neuromodulation technique for both animals and humans. However, ultrasonic propagation characteristics within the brain differ significantly from those in free space. There is currently a lack of comprehensive studies on the effects of skull thickness on focal point position, full width at half maximum (FWHM), and acoustic intensity. Objective: This study investigates the transcranial acoustic field characteristics of 500 kHz focused ultrasound, with a focus on the impact of skull thickness. Methods: The study combined finite element simulations to evaluate the effects of skull thickness on 500 kHz focused ultrasound with experimental investigations across multiple species (mouse, rat, pig, and human). Results: The simulation and experimental results indicate that the skull changes focal length (−4.4–4.7 mm) and axial focal region (−7.93–7.59 mm), and the skull causes significant attenuation of acoustic intensity, which increases with skull thickness. The attenuation rate of human skulls is greater than 80 %. We found that the skull thickness has little effect on focal point position (

Abstract Air conditioning loads (ACLs) can actively contribute to optimizing energy usage and increasing renewable energy utilization rate through scheduling. Existing studies on the participation of ACLs in DR have mainly focused on developing ON/OFF strategies, little consideration has been given to the impact of DR on the life loss of ACLs. In light of this, the present study first introduces an equation for quantifying the life loss of ACLs. Building upon this, an optimizing ACLs scheduling model is established considering life loss impact. As the relationship between life loss and refrigeration power is a complex non‐linear high‐order fractional function, it cannot be solved by conventional commercial solvers. Therefore, a bi‐objective dynamic optimization algorithm is proposed based on non‐linear fractional programming (NFP) to address this problem. To assess the effectiveness of our algorithm, it is used in a microgrid case with three schemes. Scheme 3 is aquatinted to consider the economic cost and the life loss of ACLs simultaneously, aiming to maximize the comprehensive benefit of the scheduling scheme. The results confirm the efficiency and superiority of the proposed algorithm.

Abstract Background The novel serum C-reactive protein-triglyceride glucose index (CTI) has been identified as an ideal parameter that integrates inflammation and insulin resistance, which are potential mechanisms underlying depressive symptoms. Our research aimed to investigate the association between CTI and depressive symptoms. Methods Our cross-sectional investigation utilized data from the National Health and Nutrition Examination Survey conducted between 2005 and 2010. The integrated CTI was calculated as 0.412 × Ln (C-reactive protein) (mg/dL) + Ln [triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The severity of depressive symptoms was evaluated through the continuous Patient Health Questionnaire-9 (PHQ-9) scores, and the categorical definition of depressive symptoms (PHQ-9 score ≥ 10) reflected moderate to severe symptoms. Survey-weighted linear and logistic regression models were conducted to establish the correlation between CTI and PHQ-9 scores, and between CTI and depressive symptoms. Moreover, subgroup analyses, interaction tests, and smoothed curve fitting were performed to scrutinize the steadiness of the results. Results A total of 5,954 participants were enrolled in our study, including 477 with depressive symptoms and 5,477 without. The results revealed a significant positive relationship between CTI and PHQ-9 scores (β: 0.40, 95% CI: 0.25,0.55, p

Abstract During the participation of photovoltaics in grid frequency regulation, different frequency regulation tasks are required at different time scales. The grid demands that photovoltaics (PVs) improve steady‐state frequency when facing short‐term load fluctuations, while also enhancing frequency response to long‐term environmental and load changes. Therefore, this study takes different time scales as the starting point. First, a two‐stage PV grid‐connected inverter generation system model is established, and an overall control strategy is proposed. Next, for short‐term time scales, a virtual inertia strategy based on direct current (DC) voltage droop control is proposed to utilize the energy storage effect of DC capacitors to suppress frequency fluctuations. For long‐term time scales, a strategy for controlling the variable reactive power reserve capacity is proposed to address the inadequacy of frequency regulation caused by traditional fixed de‐rating rate strategies and redundant standby power. Finally, the effectiveness of the proposed strategies is verified through model validation in MATLAB/Simulink. Simulation results demonstrate the effectiveness of the strategies at different time scales, aiding in improving grid frequency response.

Reactive astrogliosis is one of the most frequency neuropathological alterations in the hippocampus of animal models and patients with temporal lobe epilepsy (TLE). Valproic acid (VPA), a widely used antiepileptic drug (AED), acts by blocking ion channels and enhancing GABAergic activity. This study investigated the effects of VPA on hippocampal astrogliosis in a rat model of TLE. The results demonstrated that chronic administration of VPA at a dose of 200 mg/kg significantly reduced the severity of astrogliosis and ameliorated neuronal loss in the hippocampus at the early and middle stages post-status epilepticus (SE), while also improving cognitive impairments at the middle and late stages in KA-SE rats. Long-term administration of VPA at 400 mg/kg attenuated astrogliosis in the hippocampus at the middle stage post-SE, but lacked neuroprotective effects and exacerbated cognitive impairments at the late stage. These findings suggest that VPA at an appropriate dose could mitigate hippocampal astrogliosis, potentially offering a new antiepileptic mechanism for its long-term use.

Hot-rolled strip steel is an essential material extensively used in various industrial fields, with its mechanical properties being critical to product quality and engineering design. This article presents a method for predicting the mechanical properties of hot-rolled strip steel using the NGBoost (natural gradient boosting) algorithm. The study focused on predicting tensile strength, yield strength, and elongation of hot-rolled strip steel and compared the predictive results with those obtained from the gradient boosting algorithm, Lasso regression, and decision tree algorithms. The results indicated that the NGBoost algorithm performs well on average coverage error (ACE) and prediction interval absolute width (PIAW) values at different confidence levels, demonstrating strong predictive performance. Furthermore, the analysis of variance (ANOVA) method was employed to identify factors that significantly impact mechanical performance, providing theoretical support for optimizing design schemes and enhancing structural safety and reliability.

Abstract Advances in artificial intelligence (AI) and Earth observation (EO) have transformed urban studies. This paper provides a commentary on how the AI-EO integration offers advancements in urban studies and applications. We conclude that AI will provide a deeper interpretation and autonomous identification of urban issues and the creation of customized urban designs. Open issues remain, especially in integrating diverse geospatial big data, data security, and developing a general analytical framework.

This study investigated the antimicrobial and antioxidant properties of hawthorn vinegar. The antimicrobial activity was evaluated against Staphylococcus aureus, Salmonella, Saccharomyces cerevisiae, and Bacillus subtilis using the filter paper disc method. Antioxidant capacity was assessed through DPPH, hydroxyl, and superoxide anion radical scavenging assays. The results show that hawthorn vinegar exhibited inhibitory effects against all tested microorganisms, with the most potent activity against Salmonella. The vinegar extract demonstrated considerable antioxidant potential, with maximum scavenging rates of 71%, 82.2%, and 81.3% for DPPH, hydroxyl, and superoxide anion radicals, respectively. These findings suggest that hawthorn vinegar possesses notable antimicrobial and antioxidant properties, warranting further investigation for potential applications in food preservation and health promotion.

Abstract Retinol is widely used to treat skin ageing because of its effect on cell differentiation, proliferation and apoptosis. However, its potential benefits appear to be limited by its skin permeability. Herein, we investigated the transcutaneous behavior of retinol in semisolid cosmetics, in both in vitro and in vivo experiments. In vitro experiments used the modified Franz diffusion cell combined with Raman spectroscopy. In in vivo experiments, the content of retinol in rat skin and plasma was detected with HPLC. Retinol in semisolid cosmetics was mainly concentrated in the stratum corneum in the skin of the three animal models tested, and in any case did not cross the skin barrier after a 24 h dermatologic topical treatment in Franz diffusion cells tests. Similar results were obtained in live mice and rats, where retinol did not cross the skin barrier and did not enter the blood circulation. Raman spectroscopy was used to test the penetration depth of retinol in skin, which reached 16 μm out of 34 μm in pig skin, whereas the skin of mouse and rat showed too strong bakground interference. To explore epidermal transport mechanism and intradermal residence, skin transcriptomics was performed in rats, which identified 126 genes upregulated related to retinol transport and metabolism, relevant to the search terms “retinoid metabolic process” and “transporter activity”. The identity of these upregulated genes suggests that the mechanism of retinol action is linked to epidermis, skin, tissue and epithelium development.

Abstract Porcine reproductive and respiratory syndrome (PRRS) is one of the most significant swine viral infectious diseases worldwide. Vaccination is a key strategy for the control and prevention of PRRS. At present, the NADC30-like PRRSV strain has become the predominant epidemic strain in China, superseding the HP-PRRSV strain. The existing commercial vaccines offer substantial protection against HP-PRRSV, but their efficacy against NADC30-like PRRSV is limited. The development of a novel vaccine that can provide valuable cross-protection against both NADC30-like PRRSV and HP-PRRSV is highly important. In this study, an infectious clone of a commercial MLV vaccine strain, GD (HP-PRRSV), was first generated (named rGD). A recombinant chimeric PRRSV strain, rGD-SX-5U2, was subsequently constructed by using rGD as a backbone and embedding several dominant immune genes, including the NSP2, ORF5, ORF6, and ORF7 genes, from an NADC30-like PRRSV isolate. In vitro experiments demonstrated that chimeric PRRSV rGD-SX-5U2 exhibited high tropism for MARC-145 cells, which is of paramount importance in the production of PRRSV vaccines. Moreover, subsequent in vivo inoculation and challenge experiments demonstrated that rGD-SX-5U2 confers cross-protection against both HP-PRRSV and NADC30-like PRRSV, including an improvement in ADG levels and a reduction in viremia and lung tissue lesions. In conclusion, our research demonstrated that the chimeric PRRSV strain rGD-SX-5U2 is a novel approach that can provide broad-spectrum protection against both HP-PRRSV and NADC30-like PRRSV. This may be a significant improvement over previous MLV vaccinations.

Abstract The struggle women face in balancing work and family roles is a significant factor contributing to the decline in their fertility intentions. Therefore, work-family conflict serves as a crucial determinant influencing women’s fertility intentions. This study aims to explore the internal mechanism between work-family conflict and the fertility intentions of Chinese women, using data obtained from 334 questionnaires. Data analysis was conducted using Mplus 8.0. The following conclusions were drawn: (1) There is a negative correlation between work-family conflict and women’s fertility intentions. (2) Fertility attitudes play a mediating role in the relationship between work-family conflict and women’s fertility intentions. (3) The relationship between work-family conflict and women’s fertility intentions is moderated by income class. (4) The relationship between work-family conflict and women’s fertility intentions is moderated by women’s child-rearing burden. The findings of this study provide a foundation for governments at all levels to formulate population policies.

Abstract Background Docetaxel (DTX) resistance attenuates anti-tumor effects of DTX on prostate cancer (mCRPC) and drug resistance was related to Treg expansion in tumors. ZNF667-AS1 played a suppressing role in various tumors and tumor-derived exosomes carry lncRNAs to participate in tumor progression. Here, the effects of ZNF667-AS1 on malignant characteristics and DTX resistance in PC and the effect and its underlying molecular mechanism of tumor-derived exosomes carrying ZNF667-AS1 on Treg expansion were investigated. Methods The identification of exosomes were determined using TEM, NTA and western blot. The abundance of genes and proteins were evaluated using IHC, RT-qPCR, western blot and FISH. Malignant phenotypes of PC cells were evaluated by means of Edu, scratch test, transwell, CCK-8 and flow cytometry. The percentage of CD4+CD25+Foxp3+ Tregs was detected using flow cytometry. The location of ZNF667-AS1 was detected using nuclear-cytoplasmic fractionation. The co-location of ZNF667-AS1 and U2AF1 protein was detected using IF-FISH assay. The interactions among ZNF667-AS1, TGFBR1 and U2AF1 were verified using RNA pull-down, RIP and dual luciferase activity. Results ZNF667-AS1 expression in PC samples was lowered, which was negatively relative to poor prognosis and DTX resistance. ZNF667-AS1 overexpression inhibited malignant phenotypes of PC cells, tumor growth and DTX resistance. Besides, DTX resistant cell-derived exosomes expressed lower ZNF667-AS1 expression. Exosomes carrying exogenously high ZNF667-AS1 expression derived PC cells or serum of mice suppressed Treg expansion. On the mechanism, ZNF667-AS1 interacted with U2AF1 to destabilize TGFBR1 mRNA and reduce TGFBR1 expression in CD4+T cells. Conclusion ZNF667-AS1 suppressed cell growth of PC cells, tumor growth of mice and DTX resistance to PC cells and exogenously high ZNF667-AS1 expression in tumor-derived exosomes destabilized TGFBR1 mRNA and reduce TGFBR1 expression through interacting with U2AF1, thus resulting in attenuated Treg expansion, which was related to DTX resistance.

Vibrio parahaemolyticus (V. parahaemolyticus) is a foodborne pathogen commonly found in aquatic products and water environments, necessitating effective detection strategies. Here, a lytic phage VPP1 was isolated and characterized at the biological and genomic levels. VPP1 displayed specificity for V. parahaemolyticus and stability under changing conditions. Genome sequencing of the phage VPP1 revealed a 42,445 bp DNA genome with 64 open reading frames (ORFs), lacking genes involved in pathogenicity or drug resistance. A colorimetric method for the rapid detection of V. parahaemolyticus was subsequently established using gold nanoparticles and the phage VPP1 (AuNPs@VPP1). The aggregation of AuNPs was mediated by the phage VPP1 upon capturing targeted V. parahaemolyticus. The detection process could be completed within 75 min, enabling qualitative detection using the naked eye and quantitative detection using a UV–Vis spectrophotometer. The method enabled the detection of the targeted V. parahaemolyticus within the range of 8.9 × 101 to 8.9 × 108 CFU/mL, without cross-reaction with interfering or dead bacteria. The recoveries of V. parahaemolyticus in spiked lake water and crayfish samples were 81.07 %–129.17 % and 83.78 %–129.73 %, respectively. The method also demonstrated satisfactory performance in naturally contaminated samples, achieving recoveries ranging from 90.60 % to 114.86 %. This study indicated that phage-mediated aggregation of AuNPs holds promise for the detection of pathogens in environmental and food samples.

Abstract Pancreatic cancer (PC) progresses rapidly, and gemcitabine‐based chemotherapy has brought only limited efficacy. Identifying key drivers and therapeutic targets holds significant clinical value. In this study, through comprehensive analysis of multiple PC databases, this work identifies TRIM21 as a promising driver mediator. This work further performs loss‐ and gain‐of‐function assays for TRIM21, revealing that TRIM21 knockout inhibits tumor proliferation and gemcitabine resistance both in vitro and vivo. Lipidomics reveal that silencing TRIM21 reduce the arachidonic acid production, and inhibit ferroptosis. Mechanically, through proteomics, ubiquitomics, and liquid chromatography‐tandem mass spectrometry analysis, the key metabolic enzyme of arachidonic acid ‐EPHX1 is identified as a downstream substrate of TRIM21. TRIM21 interacts with EPHX1 through its SPRY domain and promotes ubiquitin‐mediated degradation of EPHX1 via K33‐ and K48‐linked ubiquitination at the K105 site. Given the targeting potential, this work screens Bezafibrate to block the interaction between TRIM21 and EPHX1 and validates its sensitizing effect. In summary, TRIM21 promotes tumour growth and gemcitabine resistance in PC by inhibiting EPHX1‐mediated arachidonic acid metabolism. This provides a novel and promising target for clinical treatment of PC.

IntroductionBurn-induced sepsis is a critical clinical challenge marked by systemic inflammation, immune dysregulation, and high mortality. Macrophage-driven inflammatory pathways are central to sepsis pathogenesis, while immune cell metabolic reprogramming plays a key role in both sepsis and cancer progression.MethodsBioinformatics analyses using GEO, TCGA, and GTEx datasets identified MLIP-modulated genes linked to immune responses and prognosis. In vitro, LPS-stimulated HUVEC cells were used to study MLIP’s effects on inflammation and macrophage function through cell viability, ROS levels, cytokine expression, qRT-PCR, and immunofluorescence assays.ResultsMLIP-modulated genes were associated with immune-related metabolic pathways in both sepsis and cancer. Epigenetic analysis showed MLIP expression is regulated by promoter methylation and chromatin accessibility. Prognostic analyses revealed MLIP’s impact on survival outcomes across cancer types. In vitro, MLIP reduced inflammation, oxidative stress, and macrophage hyperactivation.ConclusionsMLIP regulates immune-metabolic dynamics in burn-induced sepsis, influencing macrophage activity and oxidative stress. Its role in metabolic reprogramming suggests MLIP as a potential therapeutic target linking immune modulation and cancer progression. Further research on MLIP’s role in immune evasion and tumor metabolism may inform novel therapeutic strategies.

BackgroundInsulin resistance is tightly related to cognition; however, the causal association between them remains a matter of debate. Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association.MethodsThe publicly available data sources for insulin resistance (fasting insulin, homeostasis model assessment beta-cell function and homeostasis model assessment insulin resistance, proinsulin), brain cortical structure, and cognitive phenotypes (visual memory, reaction time) were obtained from the MAGIC, ENIGMA, and UK Biobank datasets, respectively. We first conducted a bidirectional two-sample Mendelian randomization (MR) analysis to examine the susceptibility of insulin resistance on cognitive phenotypes. Additionally, we applied a two-step MR to assess the mediating role of cortical surficial area and thickness in the pathway from insulin resistance to cognitive impairment. The primary Inverse-variance weighted, accompanied by robust sensitivity analysis, was implemented to explore and verify our findings. The reverse MR analysis was also performed to evaluate the causal effect of cognition on insulin resistance and brain cortical structure.ResultsThis study identified genetically determined elevated level of proinsulin increased reaction time (beta=0.03, 95% confidence interval [95%CI]=0.01 to 0.05, p=0.005), while decreasing the surface area of rostral middle frontal (beta=-49.28, 95%CI=-86.30 to -12.27, p=0.009). The surface area of the rostral middle frontal mediated 20.97% (95%CI=1.44% to 40.49%) of the total effect of proinsulin on reaction time. No evidence of heterogeneity, pleiotropy, or reverse causality was observed.ConclusionsBriefly, our study noticed that elevated level of insulin resistance adversely affected cognition, with a partial mediation effect through alterations in brain cortical structure.

IntroductionThis study evaluates the effectiveness of soil reconstruction and restoration in the Jiangcang coal mining area on the Qinghai-Tibet Plateau, where harsh environmental conditions pose significant challenges to ecological restoration.MethodsTwo phases of ecological restoration were implemented, with outcomes assessed based on vegetation coverage, species diversity, biomass, soil properties, and community similarity.ResultsThe results demonstrate that soil reconstruction significantly improved soil fertility, vegetation coverage, and community stability without noticeable degradation over time. The use of sheep manure increased species diversity by introducing native seeds, addressing the shortage of suitable grass species in alpine areas. Comparatively, the second phase of restoration, which included soil reconstruction, has elevated the vegetation coverage to 80%, matching natural background levels, and has also demonstrated superior outcomes in terms of soil stability, nutrient content, and other aspects compared to traditional methods. While aboveground biomass showed rapid recovery, belowground biomass lagged, indicating a need for longer-term restoration. Restored slopes exhibited higher similarity to natural alpine meadows compared to platforms, suggesting the dominance of the artificially seeded species on the platform areas hinders the reproduction of other species, which is unfavorable for the evolution of vegetation diversity.DiscussionThis study emphasizes the effectiveness of soil reconstruction, organic amendment, and other restoration measures, providing important experience and reference for mine ecological restoration in similar high-altitude mining areas.

Artificial intelligence generated content (AIGC) models have attracted widespread attention and application worldwide due to their excellent content generation capabilities. However, the rapid development of AIGC large models also brings a series of hidden dangers, such as concerns about interpretability, fairness, security, and privacy preservation of model-generated content. In order to reduce the unknowable risks and their harms, it becomes more and more important to carry out a comprehensive measurement and evaluation of AIGC large models. Academics have initiated AIGC large model evaluation studies aiming to effectively address the related challenges and avoid potential risks. This paper summarizes and analyzes the AIGC large model evaluation studies. Firstly, an overview of the model evaluation process is provided, covering model evaluation pre-preparation and corresponding measurement indicators, and existing measurement benchmarks are systematically organized. Secondly, the representative applications of the AIGC large model in finance, politics and healthcare and their problems are discussed. Then, the measurement methods are studied in depth through different perspectives, such as interpretability, fairness, robustness, security and privacy, and the new issues that need to be paid attention to AIGC large model evaluation are deconstructed, and the ways to cope with the new challenges of large model evaluation are proposed. Finally, the future challenges of AIGC large model evaluation are discussed, and its future development direction is envisioned.

Abstract Vertical field effect transistor (VFET), in which the semiconductor is sandwiched between source/drain electrodes and the channel length is simply determined by the semiconductor thickness, has demonstrated promising potential for short channel devices. However, despite extensive efforts over the past decade, scalable methods to fabricate ultra-short channel VFETs remain challenging. Here, we demonstrate a layer-by-layer transfer process of large-scale indium gallium zinc oxide (IGZO) semiconductor arrays and metal electrodes, and realize large-scale VFETs with ultra-short channel length and high device performance. Within this process, the oxide semiconductor could be pre-deposited on a sacrificial wafer, and then physically released and sandwiched between metals, maintaining the intrinsic properties of ultra-scaled vertical channel. Based on this lamination process, we realize 2 inch-scale VFETs with channel length down to 4 nm, on-current over 800 A/cm2, and highest on-off ratio up to 2 × 105, which is over two orders of magnitude higher compared to control samples without laminating process. Our study not only represents the optimization of VFETs performance and scalability at the same time, but also offers a method of transfer large-scale oxide arrays, providing interesting implication for ultra-thin vertical devices.

Abstract Streptococcus suis serotype 2 (SS2) is an important zoonotic pathogen that induces an NLRP3-dependent cytokine storm. NLRP3 inflammasome activation triggers not only an inflammatory response but also pyroptosis. However, the exact mechanism underlying S. suis-induced macrophage pyroptosis is not clear. Our results showed that SS2 induced the expression of pyroptosis-associated factors, including lactate dehydrogenase (LDH) release, propidium iodide (PI) uptake and GSDMD-N expression, as well as NLRP3 inflammasome activation and IL-1β secretion. However, GSDMD deficiency and NLRP3 inhibition using MCC950 attenuated the SS2-induced expression of pyroptosis-associated factors, suggesting that SS2 induces NLRP3-GSDMD-dependent pyroptosis. Furthermore, RACK1 knockdown also reduced the expression of pyroptosis-associated factors. In addition, RACK1 knockdown downregulated the expression of NLRP3 and Pro-IL-1β as well as the phosphorylation of P65. Surprisingly, the interaction between RACK1 and P65 was detected by co-immunoprecipitation, indicating that RACK1 induces macrophage pyroptosis by mediating the phosphorylation of P65 to promote the transcription of NLRP3 and pro-IL-1β. Similarly, NEK7 knockdown decreased the expression of pyroptosis-associated factors and ASC oligomerization. Moreover, the results of co-immunoprecipitation revealed the interaction of NEK7-RACK1-NLRP3 during SS2 infection, demonstrating that NEK7 mediates SS2-induced pyroptosis via the regulation of NLRP3 inflammasome assembly and activation. These results demonstrate the important role of RACK1 and NEK7 in SS2-induced pyroptosis. Our study provides new insight into SS2-induced cell death.

Abstract Air conditioning loads (ACLs) represent an increasing proportion of power system loads, offering significant potential for optimised scheduling and active participation in demand response (DR) programs. While many studies have focused on ON/OFF control schemes that satisfy system requirements, few have addressed quantifying the life loss of ACLs from the user perspective. To address this gap, a quantitative model of ACL life loss is established and an optimal scheduling model is developed for ACLs participating in DR that incorporates the cost of life loss. The relationship between life loss and refrigeration power is a complex non‐linear high‐order fractional function that cannot be solved by commercial solvers. Therefore, a bi‐objective multi‐weight optimisation algorithm is proposed with a complex non‐linear fraction based on the Dinkelbach algorithm and its feasibility through mathematical examples is verified. Finally, a numerical example based on the IEEE 39‐bus test system is provided to demonstrate the feasibility of the model and the effectiveness of the proposed solution method.

The 2022 MW6.7 Menyuan earthquake ruptured the western end of the Tianzhu seismic gap, providing an opportunity to study the regional seismogenic characteristics and seismic hazards. Here we use interferometric synthetic aperture radar (InSAR) and seismic data to study the mainshock rupture, early afterslip and the second largest aftershock of the 2022 Menyuan earthquake sequences. Our modeling results show that the mainshock ruptured the Lenglongling fault and the Tuolaishan fault with a maximum slip of ∼3 m. Rapid postseismic transient deformation occurred at the center of the Lenglongling fault. Our afterslip modeling reveals that the majority of afterslip occurred in the deeper part of the Lenglongling fault. A high-angle conjugated faulting event is found at the middle section of the Lenglongling fault. We use the stress inversion to investigate the possible triggering mechanism of the conjugated rupture event. The results indicate the maximum principal stress direction is in ∼222°, forming a ∼22° angle between the conjugated fault of second largest aftershock and the mainshock. The calculated normal stress changes indicate the region is within a pull-apart stress field, which favors such a conjugated rupturing event. Our study will help understand the rupture behavior of such kind of conjugated fault in other regions.

This is an article in the field of mining engineering. In view of the concentration and enrichment of lithium ions in old halide in Qerhan Salt Lake, the expansion experiment of the multi-stage precision control process of old halide enrichment was completed by means of evaporation crystallization and step separation. The enrichment law of lithium and boron during evaporation was studied. The concentration of lithium ions reached more than 1 g/L, and high quality hydrochloromagnite was obtained. The material balance of the evaporation process of the salt pan was carried out, and the actual halogen yield and lithium yield of each phase of salt extraction were obtained, as well as the production capacity of the sun salt pan and the area distribution ratio of each level of the salt pan, which can provide reliable data support for the comprehensive development and utilization of potassium old brine extraction in Qerhan Salt Lake in the future.

Abstract Plant diseases can inflict varying degrees of damage on agricultural production. Therefore, identifying a rapid, non-destructive early diagnostic method is crucial for safeguarding plants. Cladosporium fulvum (C. fulvum) is one of the major diseases in tomato growth. This work presents a method of data fusion using two hyperspectral imaging systems of visible/near-infrared (VIS/NIR) and near-infrared (NIR) spectroscopy for the early diagnosis of C. fulvum in greenhouse tomatoes. First, hyperspectral images of samples at health and different times of infection were collected. The average spectral data of the image regions of interest were extracted and preprocessed for subsequent spectral datasets. Then different classification models were established for VIS/NIR and NIR data, optimized through various variable selection and data fusion methods. The principal component analysis-radial basis function neural network (PCA-RBF) model established using low-level data fusion achieved optimal results, achieving accuracies of 100% and 99.3% for calibration and prediction, respectively. Moreover, both the macro-averaged F1 (Macro-F1) values reached 1, and the geometric mean (G-mean) values reached 1 and 1, respectively. The results indicated that it was feasible to establish a PCA-RBF model by using the hyperspectral technique with low-level data fusion for the early detection of C. fulvum in greenhouse tomatoes.

Abstract Background This study aimed to develop a tool for predicting the early occurrence of acute kidney injury (AKI) in ICU hospitalized cirrhotic patients. Methods Eligible patients with cirrhosis were identified from the Medical Information Mart for Intensive Care database. Demographic data, laboratory examinations, and interventions were obtained. After splitting the population into training and validation cohorts, the least absolute shrinkage and selection operator regression model was used to select factors and construct the dynamic online nomogram. Calibration and discrimination were used to assess nomogram performance, and clinical utility was evaluated by decision curve analysis (DCA). Results A total of 1254 patients were included in the analysis, and 745 developed AKI. The mean arterial pressure, white blood cell count, total bilirubin level, Glasgow Coma Score, creatinine, heart rate, platelet count and albumin level were identified as predictors of AKI. The developed model had a good ability to differentiate AKI from non-AKI, with AUCs of 0.797 and 0.750 in the training and validation cohorts, respectively. Moreover, the nomogram model showed good calibration. DCA showed that the nomogram had a superior overall net benefit within wide and practical ranges of threshold probabilities. Conclusions The dynamic online nomogram can be an easy-to-use tool for predicting the early occurrence of AKI in critically ill patients with cirrhosis. Graphical Abstract

Abstract The sole use of single modality data often fails to capture the complex heterogeneity among patients, including the variability in resistance to anti-HER2 therapy and outcomes of combined treatment regimens, for the treatment of HER2-positive gastric cancer (GC). This modality deficit has not been fully considered in many studies. Furthermore, the application of artificial intelligence in predicting the treatment response, particularly in complex diseases such as GC, is still in its infancy. Therefore, this study aimed to use a comprehensive analytic approach to accurately predict treatment responses to anti-HER2 therapy or anti-HER2 combined immunotherapy in patients with HER2-positive GC. We collected multi-modal data, comprising radiology, pathology, and clinical information from a cohort of 429 patients: 310 treated with anti-HER2 therapy and 119 treated with a combination of anti-HER2 and anti-PD-1/PD-L1 inhibitors immunotherapy. We introduced a deep learning model, called the Multi-Modal model (MuMo), that integrates these data to make precise treatment response predictions. MuMo achieved an area under the curve score of 0.821 for anti-HER2 therapy and 0.914 for combined immunotherapy. Moreover, patients classified as low-risk by MuMo exhibited significantly prolonged progression-free survival and overall survival (log-rank test, P

To address the shortcomings of traditional intumescent flame retardants (IFRs), a novel four-in-one IFR (M [APP/NiCo2O4]) was constructed for the first time. It integrates acid source, gas source, carbon source (crosslinking β-CD), and synergistic agent (NiCo2O4 nanoparticles) into a single entity by a co-encapsulation technology. Under the loading of 20 wt%, its flame retardant performance was significantly better than that of simple mixed flame retardants, and it could increase the limiting oxygen index of polypropylene (PP) from 18 to 30.2 and pass the UL-94 V-0 rating. At the same time, it could reduce the peak of heat release rate, total heat release, and peak of CO production of PP by 77%, 22%, and 80%, respectively, showing excellent flame retardant performance. The excellent flame retardant performance is mainly because the synergist NiCo2O4 nanoparticles in the four-in-one flame retardant can easily combine and efficiently interact with the acid source, carbon source, and gas source in the intumescent flame retardant to form a more stable protective char residue. In addition, the crosslinking β-CD shell enhances both the water resistance and initial thermal decomposition temperature of PP containing the four-in-one IFR compared to PP with simple mixed control samples. After 72 h of water resistance test, it can still maintain the UL-94 V-0 rating. The presence of the crosslinking β-CD shell also improves the compatibility of the four-in-one flame retardant in PP, and its adverse effects on the mechanical properties of PP are also significantly smaller than those of the mixed control sample.

Abstract We study a nearly critical superfluid system from two complementary approaches. Within the first approach, we formulate a Schwinger-Keldysh effective field theory (EFT) for the system when it is located slightly above the critical temperature. The dynamical variables in the EFT construction are two scalars: a neutral scalar associated with the conserved U(1) charge, and a complex scalar describing the order parameter. The set of symmetries, particularly the dynamical Kubo-Martin-Schwinger (KMS) symmetry and chemical shift symmetry, strictly constrains the form of EFT action. Within the second approach, using the holographic Schwinger-Keldysh technique, we derive the effective action for a “microscopic” holographic superfluid, confirming the EFT construction. A systematic inclusion of non-Gaussianity is one highlight of present study.

Background As a group of more than 3.67 million people, the bone health of Chinese plasmapheresis donors, which the main population is also a risk group of osteoporosis (OP), has raised concerns. Therefore, this article investigates the relationship between bone mineral density (BMD), bone metabolism indicators, and plasmapheresis donation behavior among some high-risk plasmapheresis donors for OP in China, and further explores the mediating factors through reasonable statistical methods. Methods Recruiting long-term and highly active plasmapheresis donors and new donors to measure the total calcium, albumin (ALB), 25-hydroxy vitamin D (25OHD), parathyroid hormone (PTH), type I procollagen amino-terminal peptide (P1NP), and type I collagen carboxy-terminal peptide (β-CTX) and serum ferritin (SF). Then, multiple linear regression was used to adjust confounding factors. Using restrictive cubic splines to explore the nonlinear relationship. Using the Bootstrap method, investigate whether SF has a mediating effect between plasmapheresis donation behavior and bone metabolism biomakers. Finally, analyze the differences in BMD between the two. Results Compared to new donors, repeat donors have a lower 25OHD, β-CTX and SF levels, while P1NP and PTH levels are high, with statistical differences. The Bootstrap analysis results show that SF level is a partial mediating factor between plasmapheresis donation behavior and bone metabolism biomakers, with a mediating effect ratio of 21.8%. There was no significant difference in the BMD between the two. Conclusion Long-term and frequently plasmapheresis donation does not affect the bone mass of even elderly donors at high risk for osteoporosis under the existing collection standards and anticoagulant use in China. However, as a self-regulation way, it does increase the osteogenic activity of the body.

Objective:. To evaluate the impact of cardiac arrest time (CAT) in brain-dead donors on graft and recipient outcomes following liver transplantation. Background:. The outcome of livers from brain-dead donors with a history of cardiac arrest (CA) remains controversial, and the duration of the CAT has never been evaluated. Methods:. A retrospective review of data from the Scientific Registry of Transplant Recipients between 2003 and 2022 was conducted. Propensity score matching was performed to minimize confounding effects. Results:. A total of 115,202 recipients were included, 7364 (6.4%) and 107,838 (93.6%) of whom were of the CA and non-CA group, respectively. After 1:1 propensity score matching, each group consisted of 7157 cases. The CA group demonstrated shorter hospital stay (15.5 ± 20.0 days vs. 16.2 ± 21.3 days, P = 0.041), with comparable incidence of early graft failure (EGF, 5.8% vs. 6.2%, P = 0.161). The CA group demonstrated slightly higher graft survival rates (1 year, 90% vs. 88%; 5 years, 76% vs. 74%; and 10 years, 61% vs. 58%, P < 0.001). CAT positively correlated with EGF [odds ratio (OR) = 1.03, 95% confidence interval (CI) = 1.02–1.04, P < 0.001], with a sensitivity and specificity of 73% and 86% at a cutoff of 30 minutes. The CAT 30 minutes group and 6.2% of the non-CA group (P < 0.001). Conclusions:. The use of brain-dead donors with a history of CA did not increase the risk of liver graft failure in our study. A downtime of

Rising demand for greener technologies, increasing competition, growing utility complexities, and evolving resource and environmental issues are some of the important factors reshaping chemical industry. For this, Chemicals, energy and water (CEW) nexus concept is introduced. This nexus is a complex interaction, and the production and supply of any resource affects the other two resources. A generalized CEW nexus model is proposed for process design. A cooling water system is illustrated as a case study. We investigated integrated collaborative management policies on CEW nexus. These contribute to the trend of accelerating the decarbonization of industrial production.

The chemical, mining, iron and steel, and power sectors are the main CO2 emitting industries in China. Promoting the low-carbon and green development of various sectors has become an important link to achieve dual carbon goals. Carbon capture and storage technologies are the important means of carbon sequestration. To optimally match the sources and sinks, an integrated approach which combines process integration with orthogonal experimental design method is developed. Through setting up the reservoirs of four sectors, carbon storage composite curves (CSCC) are developed to investigate CO2 sequestration from 2020 to 2060 to solve the problem of matching carbon sources and sinks. Then, the orthogonal experimental design is used to investigate the influence of the four factors (e.g., the start-up time, the number of the storages, the storage capacity, and the storage operation interval) on the CO2 storage. The optimal storage scheme is obtained. The matching of carbon sources and sinks at the regional scale will contribute to deploying CCS to realize carbon neutrality by 2060.

High-concentration organic wastewater (HCOW) has great potential in the production of renewable natural gas. However, in the conversion process from HCOW to biofuel, many influencing factors are not yet included in the cost accounting. To address this issue, this work introduces the method of full cost accounting (FCA). This method first identifies potential environmental and social factors that may arise during wastewater treatment, and uses environmental impact assessment and monetary evaluation to each influencing factor. Then, the monetary evaluation shows that the unit cost of renewable natural gas is 3.71 CNY/m3, which is 1.57 times of the economic cost that do not take into account environmental and social externalities. It provides a monetary indicator to enable calculating the hidden costs of unsustainable practices for sustainability assessment, which can comprehensively consider economic, environmental and social aspects.

Biomass generated from agricultural processing residues has enormous energy potential and economic value. System analysis and design of a biorefinery using apple pomace as the main production feedstock was carried out. Three process pathways were designed (e.g., anaerobic fermentation, pyrolysis process, and value-added chemical products). A sustainability analysis for each process focused on its economic and environmental impact issues. Three pathways were modelled using Aspen Plus. The simulation results were used to determine yields and their investment feasibility and carbon footprint. Different perspectives may lead to different optimal pathways. The biorefining of apple pomace produces value-added products such as pectin, in addition to energy. These bioenergy sources can be used to replace fossil energy and are renewable, thus reducing CO2 emissions. Solutions are also proposed for pathways that are on the disadvantageous side.