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Shengli Oilfield has a large scale of undeveloped reserves， which is an important backup for the sustainable production of the oilfield. However， many years of development practice show that there are lots of problems in the overall development of these reserves， which restricts the economic development and production of the reservoir. In view of the characteristics of some reservoirs with low grade， difficult production， and poor development effect， the types and distribution characteristics of undeveloped reserves in Shengli Oilfield were systematically sorted out， and the main types of undeveloped reserves and key research objectives were defined. Based on the development practice in recent years in the reservoirs such as glutenites， beach bar sands， and deep low-permeability heavy oil， the paper analyzed three main technologies for undeveloped reserves， including large-scale fracturing of wells with high inclination in glutenite reservoirs， pressure flooding in low-permeability beach bar sand reservoirs， and cold production of heavy oil reservoirs by chemical viscosity reduction. The large-scale fracturing technology of wells with long sections and high inclination combined engineering sweet spots and geological sweet spots through the geology and engineering integration， and its application in the glutenite oil reservoirs with low grade has greatly improved reservoir productivity. The innovative development concept of pressure-driven water injection technology has achieved a breakthrough in replenishing energy and increasing the production of beach bar sand reservoirs with low-permeability. The development technology of viscosity reduction combined with pressure flooding has achieved a breakthrough in the economic development of deep heavy oil reservoirs with low-permeability by changing the development idea. These three reservoir types have been effectively produced of undeveloped reserves from single well production， reservoir energy replenishment， and low-cost development and have achieved good development results. The breakthrough of development technologies and the change of development concept are the only ways for the effective development of undeveloped reserves， which has an important demonstration and guiding significance for the development of other undeveloped reserves in Shengli Oilfield.

Polyacrylonitrile pre-oxidized fiber（PANOF）is an emerging flame retardant material with low cost and high performance，showing a promising application potential as thermal protection materials in the aerospace field.Pretreated PANOF（t-PANOF）was obtained by the process of oil removing with acetone and surface modification using silane coupling agent KH570 in turn.Scanning electron microscopy（SEM），Fourier transform infrared spectroscopy（FT-IR）and X-ray photoelectron spectroscopy（XPS）were employed to figure out the changes of morphology and chemical structure of the fibers before and after pretreatment and their interfacial properties with silicone rubber（SR）.Effects of t-PANOF on the mechanical and thermal performances of SR were further investigated. With the presence of ceramic forming agent（CFA），the ablation responsive behaviors of CFA/t-PANOF/SR ternary composites were researched as well.The results show that the level of interfacial adhesion between fibers and rubber is significantly enhanced contributed from the pretreatment of PANOF，and the tensile strength of the composites is improved accordingly.However，with the increasing content of t-PANOF，the comprehensive mechanical properties of t-PANOF/SR composites show the trend that increase first and then decrease，indicating that the optimal dosage of the fibers is 5 to 10 phr.t-PANOF skeleton helps to not only enhance the dimensional stability of SR in high temperature and oxygen-rich environment，but also improve the ablation performance of CFA/t-PANOF/SR composites.The antioxidation ceramic layer with fiber skeleton as the main structure is formed on the surface of CFA/t-PANOF/SR composites under the high temperature aerobic gas with the heat flux density of 2 MW/m2，the corresponding linear and mass ablation rate are only 0.02 mm/s and 0.02 g/s respectively，which is expected to be utilized as an ablation material to satisfy the demands of the new generation of aerospace vehicles.

Abstract The treatment, disposal, and resource utilization of waste mud are challenges for engineering construction. This study investigates the road performance of waste mud–solidified soil and explains how solidifying materials influence the strength and deformation characteristics of waste mud. Unconfined compressive strength tests, consolidated undrained triaxial shear tests, resonant column tests, and consolidation compression tests were conducted to evaluate the solidification effect. The test results show that with an increase in cement content from 5 to 9%, the unconfined compressive strength of the waste mud–solidified soil increased by over 100%, the curing time was extended from 3 to 28 days, and the unconfined compressive strength increased by approximately 70%. However, an increase in initial water content from 40 to 60% reduced the unconfined compressive strength by 50%. With the increase of cement content from 5 to 9%, the cohesion and friction angles increased by approximately 78% and 24%, respectively. The initial shear modulus under dynamic shear increased by approximately 38% and the shear strain corresponding to a damping ratio decay to 70% of the initial shear modulus decreased by nearly 11%. The compression coefficient decreased by approximately 55%. Scanning electron microscopy and X-ray diffraction tests showed that a higher cement content led to the formation of more hydration reaction products, especially an increase in the content of AlPO4, which can effectively fill the pores between soil particles, enhance the bonding between soil particles, and form a skeleton with soil particles to improve compactness. Consequently, the strength of the waste mud–solidified soil increased significantly while its compressibility decreased. This study can provide data support for dynamic characteristics of waste mud solidified soil subgrade.

We studied a class of nonlinear magnetic diffusion problems with step-function resistivity $ \eta(e) $ in electromagnetically driven high-energy-density physics experiments. The stability of the nonlinear magnetic diffusion equation and its fully implicit scheme, based on the step-function resistivity approximation model $ \eta_\delta(e) $ with smoothing, were studied. A rigorous theoretical analysis was established for the approximate model of one-dimensional continuous equations using Gronwall's theorem. Following this, the stability of the fully implicit scheme was proved using bootstrapping and other methods. The correctness of the theoretical proof was verified through one-dimensional numerical experiments.

Abstract Natural gas pipelines are exposed to complex production and transportation environments, leading to blockages of varying compositions and forms due to various factors. This paper proposes a pressure pulsing wave‐based pipe blockage detection method, and a series of pipeline blockage detection experiments of different materials are carried out, including hydrate blockage, ice blockage, paraffin blockage, and water blockage. Through the blockage detection calculation theory and the reflection and transmission characteristics during pressure wave emission, the blockage position, length, and section blockage rate under different blockage materials are obtained, and the influence of different blockage materials on the reflection and transmission signal characteristics of the pressure pulse wave is analyzed. The results show that the solid blocking material does not noticeably impact the reflectivity and reflective properties of pressure waves, and different cross‐sectional shapes have a noticeable impact on the reflectivity of the pressure wave. The reflected wave waveform of the liquid blockage material is visible but irregular. The average error of blockage location is 0.78%.

Abstract Although it is well documented that mountains tend to exhibit high biodiversity, how geological processes affect the assemblage of montane floras is a matter of ongoing research. Here, we explore landform-specific differences among montane floras based on a dataset comprising 17,576 angiosperm species representing 140 Chinese mountain floras, which we define as the collection of all angiosperm species growing on a specific mountain. Our results show that igneous bedrock (granitic and karst-granitic landforms) is correlated with higher species richness and phylogenetic overdispersion, while the opposite is true for sedimentary bedrock (karst, Danxia, and desert landforms), which is correlated with phylogenetic clustering. Furthermore, we show that landform type was the primary determinant of the assembly of evolutionarily older species within floras, while climate was a greater determinant for younger species. Our study indicates that landform type not only affects montane species richness, but also contributes to the composition of montane floras. To explain the assembly and differentiation of mountain floras, we propose the ‘floristic geo-lithology hypothesis’, which highlights the role of bedrock and landform processes in montane floristic assembly and provides insights for future research on speciation, migration, and biodiversity in montane regions.

Electrocoagulation was used to treat the high temperature super-heavy oil produced water. The effects of relevant factors were studied, including reaction time, current density and plate distance. The response surface methodology was used to optimize the process conditions. The mechanisms of purification in electrocoagulation and factors affecting electrode passivation were also studied. The results showed that the electrocoagulation could effectively remove oil, COD, and SiO2 from high temperature super-heavy oil produced water. Reaction time had a significant impact on the removal rate of COD and SiO2. When the reaction time was 27.2 min, the current density was 8.6 mA/cm2, and the electrode distance was 1.8 cm, the removal rates of COD and SiO2 were 80.95% and 100% respectively. Electrocoagulation played an important role in the removal of organic matter, which was the multinuclear hydroxy aluminum complex colloid generated by the combination of aluminum ions and OH-. The increase of Cl- in the produced water slightly weakened the passivation of aluminum plates. The increase of SO42- and HCO3- increased the passivation of aluminum plates. When the produced water was neutral, the passivation of aluminum plate was the highest.

If it is desired to experimentally verify the regularity in the effects of air-voids on the properties of concrete, methods of altering voids must be relied on. Consequently, this research explored a method that reduced the curing air pressure after mixing concrete so as to modify air-void characteristics. In addition, in order to avoid introducing variables besides air-voids, a limit was placed on the duration of low-pressure maintenance, which was restoring the air pressure to atmospheric pressure after the formation of the concrete's air pressure transient resistant strength. The results showed that if the reduction in air pressure was insufficient, the differential pressure between the inside and outside of the original bubbles was not enough to cause them to break through energy barriers resulting in expansion. Only bubble regeneration due to the decrease in gas solubility was observed. When the differential pressure exceeded the energy barriers, bubble expansion could be achieved. In addition, it was possible to achieve the air pressure transient resistant strength in short time, which was achieved in only 7 h for the concrete used in this paper. Water loss calculation, X-ray diffraction, thermogravimetry-derivate thermogravimetry, scanning electron microscope, and mercury intrusion porosimetry were used to evaluate the hydration of the concrete confirming that the low-air pressure curing of 7 h had almost no effect on hydration. The method proposed can provide an effective means of specimen preparation for scientific research involving the effects of air-voids on the properties of concrete.

In order to reveal the restriction in shale gas enrichment of the Wufeng-Longmaxi Formation in the northern Guizhou province, the influence model of detachment layer was established through field geological investigation, core observation, logging, sample analysis, and geological background data. The response relationship between the detachment layer and the shale gas enrichment model in different structural formats was analyzed. The results show that the thickness of the Wufeng-Longmaxi Formation’s detachment layer is influenced by the conditions near the fault zones and mineralogical characteristics. The lithofacies of the detachment layer shows mainly a combination of clay-rich shale facies. This indicates that lithofacies type is one of the main factors influencing the variation in slip layer thickness. The detachment layer exhibits distinct well logging response characteristics and is influenced by nitrogen enrichment. The development of detachment fractures allows atmospheric nitrogen to infiltrate shale gas. It leads to poor gas saturation in the shale gas. In addition, the overall tectonic deformation in the northern Guizhou province was found to gradually intensify from Northwest to Southeast, and there were two tectonic models: a slot-shift tape transition belt and a spacer type deformation belt. The influence of decollements on shale gas preservation was barely found in the northern Guizhou province. It is mainly controlled by buried depth of the target layer, conditions of the cover layer, structural type, and deformation intensity.

In current gas concentration prediction methods, there are problems of data processing uncertainty, feature extraction limitations, and prediction bias caused by subjective factors. In order to solve the above problems, a gas concentration prediction method for coal mine excavation working face is proposed. Firstly, laser gas sensors are installed every 1 meter in the return airway of the coal mine excavation working face, forming a sensor network to collect real-time gas concentration data. Secondly, the method searches and removes outliers in the gas concentration data according to the Laida criterion, and uses the Lagrange interpolation polynomial to fill in the missing values in the gas concentration data. Finally, based on removing outliers and filling in missing values in the gas concentration data, the empirical mode decomposition algorithm is used to decompose the gas concentration data into intrinsic mode functions and trend terms. The Hilbert transform is then used to process the intrinsic mode functions to obtain the high-frequency and low-frequency terms of the data, which are then input into the least squares support vector machine for weighted processing to output the gas concentration prediction results. The gas concentration prediction simulation experiment is conducted using a simulation device for the excavation working face, and an on-site test is conducted on a certain coal mine excavation working face. The results show that the predicted gas concentration by this method is very close to the actual measurement value, with a small mean square error, indicating a high accuracy of the prediction results. The small fluctuation of mean square error indicates good adaptability and strong stability of prediction results. Short prediction time indicates high prediction efficiency.

The brain, heart, liver, kidney, and other organs are susceptible to the harmful effects of ischemia-reperfusion injury (IRI), where the excessive production of reactive oxygen species (ROS) following IRI contributes to tissue damage and ensuing inflammation. In recent years, researchers have designed various nanoparticles that are responsive to ROS for the treatment of IRI. Empagliflozin (EMPA), an inhibitor of the sodium-glucose cotransporter-2 commonly used in type 2 diabetes mellitus, shows promise in mitigating IRI. However, its water-insolubility and low bioavailability present challenges in fully realizing its therapeutic efficacy. To tackle this issue, we formulated EMPA-loaded nanomicelles designed to respond to ROS, aiming to prevent renal damage caused by ischemia-reperfusion. Extensive characterization confirmed the effectiveness of the formulated nanomicelles. Through simulations and release studies, we observed structural modifications in the micelles leading to the release of EMPA upon encountering ROS (H2O2). In animal studies, rats treated with EMPA-loaded micelles showed normal renal tissue architecture, with only some remaining tubular swelling. Molecular assessments revealed that IRI triggered cell apoptosis through mechanisms involving hypoxia, metabolic stress, ROS, and TNF-α elevation. EMPA treatment reversed this process by upregulating B-cell lymphoma protein 2 and reducing levels of associated X (BAX) protein, Caspase 3, and Caspase 8. These results indicate that ROS-responsive micelles could act as a spatially targeted delivery system, effectively transporting EMPA directly to the ischemic kidney. This offers a promising therapeutic strategy for alleviating the impact of renal IRI.

The utilization of a new energy hydrogen production system is an effective approach to enhance the absorption capacity of renewable energies such as wind and solar power. The current research on energy management of electrolyzer, both domestically and internationally, primarily focuses on single-electrolyzer. The energy management of single-electrolyzer fails to account for the nonlinearity in its operational characteristics, thereby posing challenges in considering the hydrogen production efficiency of multi-electrolyzers and its impact on system economics. The present study focuses on the energy management of a novel hydrogen production system incorporating multi-electrolyzers. The energy management optimization model incorporates wind power, photovoltaic systems, batteries, and multiple electrolyzers to achieve targets for new energy consumption rate, economic income, and hydrogen production rate. Taking into account the operational characteristics of a single electrolyzer and production constraints, the multi-objective optimization problem is solved by strength Pareto evolutionary algorithm 2 (SPEA2). The simulation research demonstrates that the proposed energy management strategy can achieve a 100% absorption rate of newly generated power from renewable sources, while simultaneously increasing the hydrogen production efficiency per unit by 5.15%. The effective management of energy in a multi-electrolyzers hydrogen production system is crucial for enhancing the efficiency of hydrogen production and effectively addressing the limitations associated with single-electrolyzer operation and energy management.

False data injection attack (FDIA) is a serious threat to the security and stable operation of smart grids. In this paper, a FDIA detection algorithm that combines unsupervised and supervised learning is proposed, solving the problems of scarce labeled data and extremely imbalanced normal and attack samples. Firstly, contrastive learning is introduced to capture the features of a small amount of attack data, and it generates new attack samples to achieve data augmentation. Then, various unsupervised detection algorithms are used to perform feature self-learning on a large number of unlabeled samples, addressing the problem of scarce labeled samples. Finally, the features extracted by the unsupervised algorithm are fused with the historical feature set, and a supervised XGBoost classifier is constructed to identify and output the detection results. The results on the IEEE 30-node system show that the proposed method can enhance the stability of the FDIA detection model under scarce labeled samples and imbalanced data, compared with other FDIA detection algorithms. The proposed method can improve recognition accuracy and reduce false alarm rate.

Abstract To gain a deeper understanding of the metabolic differences within and outside the body, as well as changes in transcription levels following estrus in yaks, we conducted transcriptome and metabolome analyses on female yaks in both estrus and non-estrus states. The metabolome analysis identified 114, 13, and 91 distinct metabolites in urine, blood, and follicular fluid, respectively. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis highlighted an enrichment of pathways related to amino acid and lipid metabolism across all three body fluids. Our transcriptome analysis revealed 122 differentially expressed genes within microRNA (miRNA) and 640 within long non-coding RNA (lncRNA). Functional enrichment analysis of lncRNA and miRNA indicated their involvement in cell signaling, disease resistance, and immunity pathways. We constructed a regulatory network composed of 10 lncRNAs, 4 miRNAs, and 30 mRNAs, based on the targeted regulation relationships of the differentially expressed genes. In conclusion, the accumulation of metabolites such as amino acids, steroids, and organic acids, along with the expression changes of key genes like miR-129 during yak estrus, provide initial insights into the estrus mechanism in yaks.

The cementitious paste containing a high volume of calcined clay exhibits poor fluidity due to the thixotropic nature of the clay suspension. The study focuses on the impact of the stepwise addition of PCE and protein-based alkaline retarder (PAR) on the rheological properties of cement-calcined clay blends with varying calcined clay replacement levels. The addition sequences included prior addition (PA), simultaneous addition (SA), and delayed addition (DA) of PCE. The blends were evaluated based on their fluidity, rheology, and setting time. The results showed that the DA sequence notably improved the workability of the blends, minimizing the fluidity loss over 60 minutes and reduced the yield stress of the paste by up to 89.8 %. The adsorption of polymers on mineral particles was analyzed by total organic carbon (TOC), X-ray photoelectron spectroscopy (XPS), X-ray diffractometry (XRD) and Zeta potential test to reveal its mechanism. The results revealed a 17 % increase in polymer adsorption with the DA sequence, while the zeta potential of the blend experienced only a slight change. These findings suggest that the sequence of chemical admixture addition can significantly influence the working performance of cement-calcined clay blends. This provides new insights for improving the dispersion performance of these blends and promotes the application of limestone calcined clay cement.

ObjectThe aim of the study was to investigate the safety, effectiveness, and peripheral nerve protection in ultrasound-guided microwave ablation (US-guided-MWA) for vascular malformations (VMs) closely related to peripheral nerve.Materials and methodsFrom August 2019 to February 2022, 31 patients with 39 VMs received US-guided-MWA. All lesions were confirmed to be closely related to the peripheral nerve by imaging evaluation. Hydrodissection was applied to protect surrounding normal tissue, including peripheral nerves. The patients were followed up at 1day, 2 days, 3 days, 1 week, 1 month, 3 months after operation. Measurements of lesion volume, volume reduction ratio (VRR), sensory and functional abnormalities of adjacent nerves, number of treatments, complication details, personal satisfaction, recurrence, and symptom improvement were recorded.ResultsAmong the 39 VMs, the maximum volume is 128.58ml, while the minimum volume is 0.99ml. After a mean follow-up of 13.06 ± 4.83 months, the mean numerical rating scale (NRS) score decreased from 5.13 ± 1.65 to 0.53 ± 0.83 (P

The Tibetan Plateau, characterized by complicated geological structures, is sensitive to climate change and human activities. The vulnerable environmental balance of the Tibetan Plateau has witnessed substantial alterations, emphasizing the urgency to comprehend and protect its ecosystem quality. In this study, we aim to quantify the ecosystem quality of the Tibetan Plateau, portray its spatiotemporal dynamics, and analyze the spatial heterogeneity of climatic and anthropogenic influences. We employed the entropy weight method (EWM) to construct a comprehensive index, termed the Ecosystem Quality Comprehensive Assessment Index (EQCAI). The historical spatiotemporal patterns and trends of EQCAI were subsequently identified. Our results revealed a gradient of decreasing ecosystem quality from the southeast to the northwest of the Tibetan Plateau, while the mitigation of ecosystem quality degradation displayed an improving trend from the southwest to the northeast. We further detected the spatial heterogeneity of factors influencing changes in ecosystem quality through the multiscale geographically weighted regression (MGWR) method. Precipitation emerged as the primary positive factor, exerting a profound influence on the ecosystem quality of the southeastern Tibetan Plateau. Conversely, evapotranspiration, elevation, and human activities negatively affected the western Tibetan Plateau. This study proposes targeted conservation efforts for forestry regions with high ecosystem quality in the southeastern Tibetan Plateau. Additionally, we suggest that the positive impact of human activities on the ecosystem quality of the Tibetan Plateau should be further strengthened. Our findings contribute valuable insights for informed decision-making in the sustainable management and preservation of the Tibetan Plateau's fragile ecosystem.

Temporary plugging and fracturing is an important technology for the efficient development of unconventional reservoirs. Due to the diverse physical properties of unconventional reservoirs and the complex stress environment, the evaluation of temporary plugging effect needs to consider the working conditions in the wells, and it also needs to focus on the transport and placement of temporary plugging agent in the near-well fracture region, so it is impossible to predict the effect of temporary plugging and fracturing effectively. In this paper, a numerical simulation study is carried out to investigate the transport and placement of temporary plugging agent in the near-well area, and a finite element model of “wellbore-near-well fracture” is established based on computational fluid dynamics, and numerical simulation and verification of temporary plugging and fracturing are carried out based on the fiber-optic monitoring data of temporary plugging and fracturing in Well A, as well as the optimization of some construction parameters. The results show that: as the volume concentration of temporary plugging agent increases, the temporary plugging effect is weakened and then strengthened, and the temporary plugging agent will enter into the heel cluster in advance when the concentration is small; at the initial stage, the increase in the quality of temporary plugging agent will cause some clusters to form incomplete plugging, but the quality of the plugging agent will not be changed after the quality is greater than 360kg; the temporary plugging effect is mainly reflected in the heel cluster, and the toe cluster is not obvious. This paper forms a set of temporary plugging and fracturing simulation methods based on the actual fiber-optic monitoring data in the field, which provides a reference for the optimization design of the type, particle size and dosage of temporary plugging agent during the temporary plugging construction process.

Magnesium alloy is one of the lightest metal structural materials. The weight is further reduced through the hollow structure. However, the hollow structure is easily damaged during processing. In order to maintain the hollow structure and to transfer the stresses during the high temperature deformation, the sand mandrel is proposed. In this paper, the hollow AZ31 magnesium alloy three-channel joint is studied by hot extrusion forming. Sand as one of solid granule medium is used to fill the hollow magnesium alloy. The extrusion temperatures are 230 °C and 300 °C, respectively. The process parameters (die angle, temperature, bottom thickness, sidewall thickness, edge-to-middle ratio in bottom, bottom shape) of the hollow magnesium alloy are analyzed based on the results of experiments and the finite element method. The results are shown that the formability of the hollow magnesium alloy will be much better when the ratio of sidewall thickness to the bottom thickness is 1:1.5. Also when edge-to-middle ratio in bottom is about 1:1.5, a better forming product can be received. The best bottom shape in these experiments will be convex based on the forming results. The grain will be refined obviously after the extrusion. Also the microstructures will be shown as streamlines. And these lines will be well agreement with the mold in the corner.

In order to improve the quality and reduce the loss of the nutritional content of camellia oil with the traditional press, this paper studied the process of pressing Camellia Oleifera Seeds with 10t/d Twin-Screw Oil Press. The results demonstrated that the best conditions for this article were: 9% moisture content of Camellia Oleifera seed kernels and 8% content of Camellia oleifera seed shell. The oil content of Camellia oleifera seed cake was reduced to 2.49%, and the produced camellia oil could meet the standard of first -class oil. In comparison to the camellia oil sold on the market, the retention rate of α-tocopherol in the camellia oil obtained through this process was higher, and the nutritional value of camellia oil has been further improved, which could provide technical guidance for the high-value processing of camellia oil in China.

Abstract Background The yak is a symbol of the Qinghai-Tibet Plateau and provides important basic resources for human life on the plateau. Domestic yaks have been subjected to strong artificial selection and environmental pressures over the long-term. Understanding the molecular mechanisms of phenotypic differences in yak populations can reveal key functional genes involved in the domestication process and improve genetic breeding. Material and method Here, we re-sequenced 80 yaks (Maiwa, Yushu, and Huanhu populations) to identify single-nucleotide polymorphisms (SNPs) as genetic variants. After filtering and quality control, remaining SNPs were kept to identify the genome-wide regions of selective sweeps associated with domestic traits. The four methods (π, XPEHH, iHS, and XP-nSL) were used to detect the population genetic separation. Results By comparing the differences in the population stratification, linkage disequilibrium decay rate, and characteristic selective sweep signals, we identified 203 putative selective regions of domestic traits, 45 of which were mapped to 27 known genes. They were clustered into 4 major GO biological process terms. All known genes were associated with seven major domestication traits, such as dwarfism (ANKRD28), milk (HECW1, HECW2, and OSBPL2), meat (SPATA5 and GRHL2), fertility (BTBD11 and ARFIP1), adaptation (NCKAP5, ANTXR1, LAMA5, OSBPL2, AOC2, and RYR2), growth (GRHL2, GRID2, SMARCAL1, and EPHB2), and the immune system (INPP5D and ADCYAP1R1). Conclusions We provided there is an obvious genetic different among domestic progress in these three yak populations. Our findings improve the understanding of the major genetic switches and domestic processes among yak populations.

Abstract Non-small cell lung cancer (NSCLC) is a malignant tumor that threatens human life and health. The development of a new NSCLC risk assessment model based on electronic medical records has great potential for reducing the risk of cancer recurrence. In this process, machine learning is a powerful method for automatically extracting risk factors and indicating impact weights for NSCLC deaths. However, when the number of samples reaches a certain value, it is difficult for machine learning to improve the prediction accuracy, and it is also challenging to use the characteristic data of subsequent patients effectively. Therefore, this study aimed to build a postoperative survival risk assessment model for patients with NSCLC that updates the model parameters and improves model accuracy based on new patient data. The model perspective was a combination of particle filtering and parameter estimation. To demonstrate the feasibility and further evaluate the performance of our approach, we performed an empirical analysis experiment. The study showed that our method achieved an overall accuracy of 92% and a recall of 71% for deceased patients. Compared with traditional machine learning models, the accuracy of the model estimated by particle filter parameters has been improved by 2%, and the recall rate for dead patients has been improved by 11%. Additionally, this study outcome shows that this method can better utilize subsequent patients’ characteristic data, be more relevant to different patients, and help achieve precision medicine.

Objective To establish an animal model of autologous arteriovenous fistula in mice and evaluate its effect.Methods The left external jugular vein and common carotid artery of 10 8-week-old male C57BL/6 mice were separated by end-to-side anastomosis of external jugular vein and common carotid artery after anesthesia, and the right jugular vein was exposed without suture as a control, so as to establish an animal model of internal arteriovenous fistula. Doppler ultrasound, HE and Masson staining and immunohistochemical staining were used to observe the hemodynamics, intimal hyperplasia and protein expression of smooth muscle cell proliferation in the outflow vein of the internal arteriovenous fistula and the contralateral control vein, and to evaluate the effect of model construction.Results A total of 10 mice were selected for this study, and 9 mice were successfully modeled, with a success rate of 90%. Ultrasound examinations were performed on the day of surgery, 7 and 14 days after surgery, respectively. The results showed that the flow velocity near the anastomosis was linearly correlated with the diameter of the tube. The higher the flow velocity, the larger the diameter of the tube. There was a positive correlation between peak velocity and lumen diameter (P=0.000 6, R2=0.831 7). After surgery 14 days, HE staining results showed that after autologous arteriovenous fistula molding, the average lumen area of outflow segment vein was significantly decreased (P < 0.000 1), the intima area was significantly increased (P < 0.000 1), the intimal area was significantly increased (P < 0.000 1). On the surgical side of arteriovenous fistula, collagen deposition was significantly increased, and the proportion of Masson-positive regions was significantly increased (P < 0.000 1). Immunohistochemical staining showed that the proportion of collagen 1 positive areas on the surgical side of arteriovenous fistula was significantly upregulated (P < 0.000 1), and α-smooth muscle actin (α-SMA) , proliferating cell nuclear antigen (PCNA) positive cells increased significantly (P < 0.000 1), indicating an increase in local cell proliferation level.Conclusion The established mouse autologous arteriovenous fistula model has the advantages of high success rate, good stability and low cost. The model provides a good carrier for exploring the biological mechanism of intimal hyperplasia in arteriovenous fistulas.

ObjectiveTo determine the virulence of desert-type Leishmania donovani strains through animal infection experiments and to explore preservation methods for maintaining their pathogenicity. Methods The isolated strain was cultured in vitro for 7, 30, 36, 44, 60, 90, and 150 days, respectively， and inoculated into Lagurus lagurus (L.lagurus) with the dose of 2.6×105 per animal by intraperitoneal injection. The spleen coefficient, infection rate, and antibody positive rate of the inoculated animals were detected at day 60 after infection. The desert-type Leishmania donovani strain was further inoculated with Cricetulus migratorius (C.migratorius) and L. lagurus, respectively, for passaging and preservation. The survival time of two kinds of animals and pathogenicity change of the stain in their bodies were compared. Results After inoculation of desert-type Leishmania donovani strains cultured in vitro for 7-150 days, the spleen coefficient of inoculated L.lagurus gradually increased from 1% on day 7 to 2.2% on day 30, which was more than 10 times of the normal spleen coefficient. Additionally, on day 60, the spleen coefficient remained 3 times higher than the normal value. The infection rate and antibody positive rate decreased from 80% on day 7 to 0% on day 60. At 90 days, there were no significant differences between the infected groups and the control group, and all the observed indexes were within the normal range. The survival time of L.lagurus infected with the in vivo passage strain ranged from 1 to 13 months, and half of the infected individuals died within 4 months. In contrast, C.migratorius had a survival time ranging from 5 to 31 months, and half of the infected individuals died within an average of 13.7 months. There was a significant difference in the average time of death between the two groups (t=0.000 1, P0.05). This strain exhibited equal virulence in both animals and remained virulent for up to 4 years after continuous passage. ConclusionWith the prolonged culture time, the virulence of the strain decreases gradually. At 90 d, it has no pathogenicity to L. lagurus. Long-term in vitro culture fails to preserve it's pathogenicity to L.lagurus. Only in vivo inoculation can maintain the virulence of this strain.

Abstract Background Okhaldhunga is a hilly district with fragile socioeconomic conditions, limited access to health care, social stigma, and poor resource management, where most people rely on medicinal plants for primary health care. The use of medicinal plants for primary health care varies with socioeconomic attributes. Following the intra-cultural analysis, we documented and tested the hypothesis that use of medicinal plants in Champadevi, Okhaldhunga, Nepal, depends on socioeconomic variables. Methods We interviewed 224 respondents, 53.12% female and 46.88% male, including 31 Brahmin, 157 Chhetri, 13 Dalit, and 23 Janajati, and conducted three focused group discussions and seven key informant interviews to record the ethnomedicinal plants used in Champadevi rural municipality, Okhaldhunga District. The relative frequency of citation (RFC) was computed to know the importance of the species. A generalized linear model (GLM) was used to see the relationship between medicinal plants reported with the sociocultural variables, which include age, gender, occupation, education, ethnicity, and religion. Results We documented 149 medicinal plants, including 69 herbs, 22 shrubs, nine climbers, 48 trees, and one parasitic plant, belonging to 68 families and 130 genera, and used to treat 48 distinct diseases and ailments. Plant parts, leaf, and digestive disorders were frequently treated during healing. Curcuma angustifolia was the most cited species with RFC 0.9554. The respondents' knowledge of medicinal plant use varied significantly with age (p = 0.0001) and occupation (p = 0.003). Changes in land use, population decline of medicinal plant species, and unsustainable harvesting practices constituted the local threats to medicinal plants and associated knowledge. Elders died without passing on their knowledge to the younger generations during sociocultural transformation, and youth disinterest coupled with the free availability of allopathic medicine led to knowledge erosion. Conclusions The use of medicinal plants in Champadevi, Okhaldhunga, was significantly depended on two socioeconomic variables age and occupation. Ethnomedicinal plants are essential in the primary healthcare system in Nepal; however, their availability and practices are declining. Thus, plans regulating land use change and human migration, acknowledging traditional healthcare practices, and raising awareness of the significance of traditional medical practices as complementary healthcare practices should be strengthened.

Abstract. Background:. The presence of fibrosis is a criterion for subtype classification in the newly updated hypersensitivity pneumonitis (HP) guidelines. The present study aimed to summarize differences in clinical characteristics and prognosis of non-fibrotic hypersensitivity pneumonitis (NFHP) and fibrotic hypersensitivity pneumonitis (FHP) and explore factors associated with the presence of fibrosis. Methods:. In this prospective cohort study, patients diagnosed with HP through a multidisciplinary discussion were enrolled. Collected data included demographic and clinical characteristics, laboratory findings, and radiologic and histopathological features. Logistic regression analyses were performed to explore factors related to the presence of fibrosis. Results:. A total of 202 patients with HP were enrolled, including 87 (43.1%) NFHP patients and 115 (56.9%) FHP patients. Patients with FHP were older and more frequently presented with dyspnea, crackles, and digital clubbing than patients with NFHP. Serum levels of carcinoembryonic antigen, carbohydrate antigen 125, carbohydrate antigen 153, gastrin-releasing peptide precursor, squamous cell carcinoma antigen, and antigen cytokeratin 21-1, and count of bronchoalveolar lavage (BAL) eosinophils were higher in the FHP group than in the NFHP group. BAL lymphocytosis was present in both groups, but less pronounced in the FHP group. Multivariable regression analyses revealed that older age,

Abstract Nonomuraea gerenzanensis (N. gerenzanensis) is known for its ability to biosynthesize A40926, the precursor of the glycopeptide antibiotic (GPA) Dalbavancin. However, challenges and uncertainties related to the genetic manipulation of the rare actinomycetes remain. In order to improve the conjugation transfer of N. gerenzanensis, the crucial factors affecting conjugal transfer were evaluated, including agar medium, mycelial state, donor-recipient ratio, magnesium ion concentration, and antibiotic coverage time firstly. Additionally, γ-butyrolactone (GBL) for quorum sensing (QS) and antibiotics targeting bacterial walls were applied to evaluate their effects on conjugation transfer. As a result, the optimal conditions of 5%TSB of liquid medium, 24 h of the period time, V0.1 of agar medium, 30 mM of magnesium ion, the ratio 10:1 of donor-to-recipient, and 27 h of the overlaying time of antibiotic were determined. Furthermore, the results showed that autoinducer GBL and GPA teicoplanin had a synergetic effect on the conjugation transfer of N. gerenzanensis at a working concentration of 60 µM and 0.5 µg mL−1, respectively. The highest conjugation efficiency could reach about 1.3 depending on the optimal process conditions and the interference of QS and antibiotics.

Background and objectivesThe prognosis of liver failure treated with non-bioartificial liver support systems is poor. Detecting its risk factors and developing relevant prognostic models still represent the top priority to lower its death risk.MethodsAll 215 patients with liver failure treated with non-bioartificial liver support system were retrospectively analyzed. Potential prognostic factors were investigated, and the Nomogram and the Random Survival Forests (RSF) models were constructed, respectively. Notably, we evaluated the performance of models and calculated the risk scores to divide patients into low-risk and high-risk groups.ResultsIn the training set, multifactorial Cox regression analysis showed that etiology, hepatic encephalopathy, total bilirubin, serum alkaline phosphatase, platelets, and MELD score were independent factors of short-term prognosis. The RSF model (AUC: 0.863, 0.792) performed better in prediction than the Nomogram model (AUC: 0.816, 0.756) and MELD (AUC: 0.658, 0.700) in the training and validation groups. On top of that, patients in the low-risk group had a significantly better prognosis than those in the high-risk group.ConclusionWe constructed the RSF model with etiology, hepatic encephalopathy, total bilirubin, serum alkaline phosphatase, platelets, and MELD score, which showed better prognostic power than the Nomogram model and MELD score and could help physicians make optimal treatment decisions.

Social credit management is a global issue, has become an important aspect of the economic development of various countries. In the process of social transformation in modern China, the social credit management system has undergone three stages of evolution: from scratch to existence, from existence to reality, and from reality to refinement. Based on the review of the transformation of market order and the construction of social credit system in China, this paper makes a systematic analysis of its main content and internal logic. From the perspective of Huntington’s “political decline” and other Chinese and foreign theories, this paper discusses the relationship between the three main bodies of social credit construction — market, society, government and market order respectively, in an attempt to provide inspiration and ideas for the construction of China’s future social credit system.

In women, ovarian cancer is a common gynecological cancer associated with poor prognosis, reoccurrence and chemoresistance. Scoulerine, a benzylisoquinoline alkaloid, has been reported effective against several carcinomas. Thus, we investigated the impact of scoulerine on ovarian cancer cells (OVCAR3). Cell viability was assessed by MTT assay, migration was determined by Boyden Chamber assay, while the invasion was monitored by Boyden Chamber assay using the matrigel. The stemness properties of OVCAR3 cells were observed by tumorsphere assay. Epithelial to mesenchymal transition (EMT) and stemness-related protein markers were monitored by real-time PCR analysis and immunoblotting. Scoulerine inhibits the viability of OVCAR3 cells with the IC50 observed at 10 µmol L–1 after 48 h treatment. Scoulerine inhibited the colony-forming ability, migration and invasiveness of OVCAR3 cells in a dose-dependent fashion. Scoulerine treatment also drastically reduced the spheroid-forming ability of OVCAR3 cells. The mesenchymal and stemness--related markers like N-cadherin, vimentin, CD-44, Oct-4, Sox-2 and Aldh1A1 were downregulated, whereas the epithelial markers like E-cadherin and CD-24 were upregulated in scoulerine-treated cells. The upstream PI3K/Akt/mTOR-axis was downregulated in scoulerine-treated cells. We concluded that scoulerine successfully perturbs the cancerous properties of OVCAR3 cells by targeting the PI3K/Akt/mTOR axis. In vivo studies revealed a substantial decrease in tumor mass and volume after scoulerine treatment. Furthermore, scoulerine treatment was found to decrease oxidative stress factors in ovarian cancer mice model. Scoulerine is a potential anticancer agent against ovarian cancer and can be considered as a lead molecule for this malignancy, provided further investigations are performed.

The drought and cold climate of the Loess Plateau, Qinghai–Tibet Plateau, and Inner Mongolia–Xinjiang Plateau has bred rich herbaceous plant germplasm resources, forming a herbaceous plant germplasm resource bank in arid and cold regions of Western China. Actively developing herbaceous plant germplasm resources in the arid and cold regions is conducive to improving the germplasm innovation and utilization level and better supporting the development of grass seed industry in Western China. This study analyzes the current situation regarding the collection, protection, research, and utilization of herbaceous plant germplasm resources in China and abroad, and identifies the major problems faced by the development of these resources in the arid and cold regions of Western China. Based on the advantages of the region, an innovative development mechanism for the herbaceous plant germplasm resources in the arid and cold regions of Western China is proposed. Specifically, the advantages of herbaceous plant germplasm resources should be transformed as disciplinary and industrial advantages the soonest possible, the innovation and utilization ofherbaceous plant germplasm resources should be promoted, the exploitation and utilization of herbaceous plant germplasm resources should be guided from decentralized development to systematic integration, and a mechanism for tracking and promoting herbaceous plant germplasm innovation should be established. Furthermore, the construction of a science and technology park for herbaceous plant germplasm innovation and utilization is proposed in order to build a seed industry capital and innovation highland of Western China.

Gut microbiota are closely related to health, and the β2-adrenergic receptor gene (ADRB2) is associated with gastrointestinal diseases. In the present study, we aimed to explore the relationship between ADRB2 gene polymorphisms and gut microbiota in Chinese Han adolescents. The relative abundance, diversity, and PICRUSt function predictions of male and female gut microbiomes differ significantly and that ADRB2 gene polymorphisms were associated with gut microbiome abundance in Chinese Han adolescents.

Mango (Mangifera indica) is a highly valuable horticultural crop known for its quality and productivity. This study investigates the dynamic changes in physicochemical properties and glutathione and ascorbic acid metabolic pathways in mango pulp across various growth and development stages over two consecutive years (2021–2022 and 2022–2023) by transcriptomic analysis. Overall, the results demonstrate that during different ripening periods, the pulp shows increased levels of total soluble solids, relative conductivity, glutathione, and enzymes, while titratable acidity, malondialdehyde, reactive oxygen species, and ascorbic acid contents decreased. Moreover, transcriptomic analysis identified key differentially expressed genes from the glutathione and ascorbic acid metabolic pathways and validated them with qRT-PCR. In different comparisons, a total of 1776, 2513, and 828 DEGs were identified in 30 vs. 60, 30 vs. 90, and 60 vs. 90 days after flowering, respectively. Among them, seven DEGs were primarily enriched in relevant pathways, which included ascorbate peroxidase, ascorbate oxidase, glutathione peroxidase, gamma-glutamyl transferase, glutathione transferases, and glucose-6-phosphate dehydrogenase. The upregulation of these genes indicates that glutathione and AsA respond well to scavenging reactive oxygen species and maintain normal functioning in plants. This research sheds light on the molecular mechanisms of glutathione and ascorbic acid dynamic changes in mango pulp, providing valuable insights into the regulation of antioxidant and metabolic pathways during fruit growth and development.

The ‘Feizixiao’ litchi cultivar, predominantly grown in Hainan Province, faces the issue of “sugar receding” during fruit ripening. The application of mixed foliar nutrients containing calcium and magnesium (Ca+Mg) during the fruit pericarp’s full coloring stage was investigated to overcome this issue. Experimental trials unveiled significant alterations in litchi pulp physiochemical properties, including the main nutrient and flavor quality, the total respiration rates of the main respiratory pathways, and the activities of some important enzymes associated with Embden–Meyerhof–Parnas (EMP), the tricarboxylic acid cycle (TCA) and the pentose phosphate pathway (PPP). The Ca+Mg treatment showed higher sugar levels than the control (CK) during ripening. Notably, the application of Ca+Mg in litchi pulp inhibited respiration rates through the EMP, TCA, and PPP pathways, resulting in a strong effect. RNA sequencing analysis revealed the impact of Ca+Mg treatment on respiratory pathways, revealing differentially expressed genes (DEGs) such as pyruvate PK1, PK2 (pyruvate kinase), and PDC (pyruvate dehydrogenase complex), validated through qRT-PCR with a significant correlation to RNA-seq results. In general, Ca+Mg treatment during litchi fruit ripening overcame “sugar receding” by inhibiting the expression of respiration key metabolic pathway genes. These findings provide insights for enhancing cultivation management strategies.

Accompanied by the rapid development of science and technology, the application of digital VR technology in kindergarten and preschool education has gradually become a hot spot of educational innovation. In this paper, with the help of digital VR technology, we build an intelligent learning platform full of exciting and exploratory features to provide kindergarten children with a more vivid and intuitive learning experience. The smart learning platform for preschool education consists of the management module, teaching resource base module, collaborative learning module, and intelligent evaluation module. Virtual reality technology is utilized on the platform to create a virtual teaching module that enhances the teaching method. Then the construction of the virtual classroom three-dimensional model is enhanced and improved. A geometric curvature high-fidelity three-dimensional model accelerated drawing method is proposed. The triangle folding algorithm is improved based on the improved quadratic error metric to enhance the quality of the three-dimensional drawing of the virtual classroom. Through the application of virtual teaching in teaching experiments, it has been found that it has significantly improved children’s cognitive ability and creativity. The percentage of parents’ satisfaction with the teaching effect of the smart learning platform reached 74.2%, indicating that parents are more likely to recognize the kindergarten’s application of the smart learning platform.

Abstract The global public interest in a natural disaster event will help disaster-stricken areas obtain post-disaster international relief and assistance. However, knowledge gaps still exist in regard to global online social responses and their socioeconomic influencing factors. We used big social media data regarding the 2013 Super Typhoon Haiyan to explore global online social responses and to investigate the socioeconomic factors influencing this behavior based on the Geographical Detector (Geodetector) model and geographically weighted regression (GWR) model. The results show that global online social responses have little relation with geographical distance and follow the disaster’s development. In addition to the most response in the disaster-affected countries, Western countries and neighboring countries have more online social response to the disaster than other regions. Among all the influencing factors, economic factors have the strongest effect on public interest both before and after the typhoon’s landfall. Our findings indicate that online social users are of great potential for volunteers and donors.

The reconstruction and analysis of building models are crucial for the construction of smart cities. A refined building model can provide a reliable data support for data analysis and intelligent management of smart cities. The colors, textures, and geometric forms of building elements, such as building outlines, doors, windows, roof skylights, roof ridges, and advertisements, are diverse; therefore, it is challenging to accurately identify the various details of buildings. This article proposes the Multi-Task Learning AINet method that considers features such as color, texture, direction, and roll angle for building element recognition. The AINet is used as the basis function; the semantic projection map of color and texture, and direction and roll angle is used for multi-task learning, and the complex building facade is divided into similar semantic patches. Thereafter, the multi-semantic features are combined using hierarchical clustering with a region adjacency graph and the nearest neighbor graph to achieve an accurate recognition of building elements. The experimental results show that the proposed method has a higher accuracy for building detailed edges and can accurately extract detailed elements.

Abstract In oil and gas exploitation and transportation, it is essential to avoid hydrate blockage in the wellbores and pipelines. Using kinetic inhibitors in composite with thermodynamic inhibitors can reduce the operational expenditure for oil and gas pipelines under high water content conditions. The phase equilibria of pure water natural gas system, oil–water natural gas system, and oil–water monoethylene glycol (MEG) natural gas system were first investigated by experiments and combined with software predictions in this study. The results showed that both mineral oil and MEG shifted the phase equilibrium of the system to high‐pressure and low‐temperature directions. The oil phase increased the effective temperature range of the compounding inhibitor. Then the hydrate inhibition performance and natural gas hydrate generation characteristics of the composite formulation of Luvicap 55w and MEG in oil–water emulsions and natural gas mixtures were investigated. With the increased subcooling, the induction time decreased sharply, and the gas consumption increased. The induction time increased with increasing MEG concentration, which verified the synergistic effect of MEG in oil–water emulsion for Luvicap 55w. The hydrate generation characteristics did not change much with increasing Luvicap concentration at the same temperature. In contrast, the hydrate induction time rose from 142.8 to >3500 min as the MEG concentration increased from 10 to 20 wt%.

Lithocarpus konishii, a rare species endemic to islands in South China, was evaluated as a vulnerable species (VU) by the ‘China Species Red List.’ Here, we first presented the complete chloroplast genome sequence of L. konishii. The chloroplast genome was 161,059 bp in length with 36.76% GC content, containing a small single-copy region (SSC, 18,967 bp), a large single-copy region (LSC, 90,250 bp), and a pair of inverted repeats (IRs, 25,921 bp each). A total of 139 genes were predicted, including 87 protein-coding genes (CDS), 8 rRNAs, and 44 tRNAs. Based on the concatenated shared unique CDS sequence dataset, maximum-likelihood and Bayesian inference methods were used to build the phylogenetic trees of 18 species from the Fagaceae family. Results indicated that L. konishii is closely related to L. longnux and L. pachyphyllus var. fruticosus, and forms a monophyly of the subfamily Castaneoideae with Castanopsis and Castanea. This study provides a theoretical basis for the conservation genomics of this endangered plant.

Children are the hope of the future, but they are also the most vulnerable to poverty. Gender differences in children have been a major concern in society, and research on gender differences in multidimensional child poverty and their causes has important theoretical value and practical significance for child poverty reduction. Based on spatio-temporal analysis, we selected five dimensions of nutrition, health, education, individual growth, living conditions and 16 corresponding evaluation indicators to construct an evaluation index system of multidimensional poverty among children in China. The multidimensional poverty index of Chinese boys and girls from 2010 to 2018 was measured using the Alkire-Foster (A-F)method. Additionally, the spatio-temporal variations of gender differences in multidimensional child poverty during the period was analyzed using spatial autocorrelation and other methods, and a binary logistic regression model was applied to explore the influencing factors of gender differences. The results reveal the following: 1) The multidimensional poverty index of Chinese children decreased year by year during the study period, and the gender gap tended to narrow, with the poverty level of boys being higher from 2010 to 2012, while that of girls exceeded that of boys after 2014. Moreover, the gender difference in child poverty is mainly reflected in nutrition and living conditions. In terms of the contribution rate of indicators, the gender difference in the contribution rate of weight indicators is the largest, followed by height, family companionship, and enrollment at an appropriate age. 2) The multidimensional poverty index of boys and girls reveals the spatial distribution characteristics of "East-Central-West" stepwise increase. Compared with boys, the spatial clustering effect of multidimensional poverty among girls is more obvious. In 2018, the regions with significant gender differences in multidimensional child poverty are mainly concentrated in the five provinces of Fujian, Hunan, Jilin, Shaanxi, and Hubei. Additionally, the overall situation of multidimensional poverty among girls is more serious. 3) Since 2010, the gender differences in multidimensional poverty among children in China's urban and rural areas have displayed a decreasing trend; the gender gap is generally higher among urban children than rural children. In 2018, the gender gap in poverty among urban children is very significant in the four provinces and cities of Fujian, Chongqing, Hunan, and Guizhou, while that among rural children is more serious in Heilongjiang and Shaanxi provinces. These six provinces exhibit more poverty among girls, indicating that this is a priority for future improvement. 4) Urban-rural attributes, parental marital status, household income, and the highest level of education among parents are important factors influencing the gender differences in multidimensional poverty among children. Among these, household income has a deeper impact on girls, while urban-rural attributes, parental marital status, and the highest level of education among parents have a more significant impact on boys.

The current Chinese cooking nutritional and scientific degree is not high. Chinese cooking technology has made it difficult to meet people’s health needs. This paper explores the path of nutritional scientificization in digital cooking. The FCM algorithm based on MapReduce has been found to have a good clustering effect and execution efficiency. Based on big data processing for fuzzy clustering application research, the samples are preprocessed using big data processing techniques to determine the functions in the sample descriptions. The data analysis is completed using Mapreduce-based parallelized FCM, and the rules for optimizing the objective function are given. The method proposed in this paper can efficiently and accurately complete the data analysis, as evidenced by examples. Residents can choose the cooking technique that best suits their nutritional needs by reducing the ABT antioxidant capacity and FRAP antioxidant capacity of coriander by 42.67% and 44.21% by boiling and high pressure. Big data analysis-based cooking techniques outperformed traditional cooking techniques in all dimensions, ensuring a balance between food flavor and health and wellness.

Northwest China faces an imbalance between scarce water resources and increasing water use demands for agricultural production and economic growth. However, the shifts in virtual water flow (VWF) patterns in Northwest China and its the driving factors are still unclear. In this study, we employed the Multiregional Input–Output (MRIO) method to investigate the evolution of VWF patterns among Northwest China’s primary, secondary, and tertiary industries and analyze their driving factors through Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The results show that (1) Northwest China changed from 7.24 × 108 m3 net inflow to 175.70 × 108 m3 net outflow from 2002 to 2007. (2) More than 90 % of virtual water of the primary industry was used locally, but both secondary and tertiary industries depended more on virtual water inflow in Northwest China. (3) The virtual water outflow from Northwest China is mostly to the Jing-Jin Region, followed by the Northern Coast, and the main inflow is from the Central Region. (4) Population, economy, and technology affect virtual water from inflow to outflow, and technological development helps to decrease virtual water flow volumes. In conclusion, dramatic decrease of second and third industries inflow is the main reason for the changes from net inflow to net outflow of Northwest China. Meanwhile, it is feasible to increase technological support to further reducing virtual water consumption in primary industry, and strengthen virtual water trades of secondary and tertiary industrial virtual water inflows by promoting population and economic conditions.

Automated laser descaling represents a crucial advancement in marine maintenance, particularly in localized corrosion treatment. This research utilizes AH32 marine steel for corrosion testing, applying color feature extraction and the OTSU thresholding method, refined with morphological processing, to accurately delineate descaling areas. We have engineered a laser descaling protocol with an impressive 97% recognition accuracy through the innovative application of LabVIEW technology combined with machine vision. Implementing this technology promises enhanced corrosion resistance for marine vessels, setting a new standard for maintenance efficiency and quality.

This study navigates the digital transformation challenges within music education at higher vocational colleges and universities, proposing an innovative approach that integrates modern technology to enhance student musicality. Employing a mixed-methods research framework that combines quantitative and qualitative analyses, we explore the impact of digital teaching tools, including artificial intelligence and multimedia resources, on students’ musical understanding and creativity. Our findings reveal that students engaged with our digital-enhanced educational model exhibit significant improvements in rhythmic sense (30% increase) and creativity (25% increase) compared to traditional settings. This synergy of music education and technology elevates teaching outcomes and fosters innovative thinking among students, suggesting new directions for the evolution of music education in higher education institutions.