Lanzhou City Research Articles

An Accurate Recognition Method for Landslides Based on a Semi-Supervised Generative Adversarial Network: A Case Study in Lanzhou City

With the development of computer technology, landslide recognition based on machine learning methods has been widely applied in geological disaster management and research. However, in landslide identification, the problems of an insufficient number of samples and an imbalance of samples are often ignored; that is, landslide samples are much smaller than non-landslide samples. In order to solve this problem, taking the main urban area of Lanzhou City as an example, this paper proposes to construct a semi-supervised generated countermeasure network (SSGAN) model, which aims to achieve high performance with a limited number of labeled samples for precise landslide identification, and to help prevent and reduce the harm caused by disasters. In order to express the environmental characteristics of landslide development and the optical texture features of landslide occurrence, the study constructs three sets of samples to represent landslide features, including a landslide influencing factor sample set, a Sentinel-2A optical remote sensing sample set, a joint influencing factor and Sentinel-2A sample set. The three kinds of sample sets are transferred to SSGAN for training to form a comparative study. The results show that the joint sample set has excellent feature results in discriminator and generator. Through the experimental comparison, the model proposed in this paper is compared with the model without semi-supervised generated confrontation training. The experimental results show that the proposed method is better than the unsupervised adversarial learning model in terms of accuracy, F1 score, Kappa coefficient, and MIoU. A total of 160 landslides have been identified in the study area, with a total area of 10.328 km2, with an accuracy rate of 83%. Therefore, the generated results are accurate and reliable, and show that SSGAN can better distinguish landslides from non-landslides in an image, under the condition of obtaining a large number of unmarked environmental features; enhance the effect of landslide classification in complex geographical environment; and then put forward effective suggestions for the prevention and control of landslides and geological disasters in the main urban area of Lanzhou.

Changes in human settlement environments and their drivers in valley cities located in arid and semi-arid regions: A case study of Lanzhou in Western China

Development of urban human settlement environments (HSEs) is an integral part of promoting high-quality and sustainable regional development and constructing a beautiful China. The city of Lanzhou, located at the geometric center of China, is the only provincial capital traversed by the Yellow River. Given the constraints posed by the valley topography and the need for economic development, the development of this HSE, which is located within an arid region, poses considerable challenges. Evidently, an understanding of the evolution of HSEs and drivers of changes in them contributes to high-quality, sustainable urban development in arid and semi-arid regions. An analytical model was developed using the parameters of relief degree of land surface, human comfort days, the land cover index, nighttime light index, and precipitation. This model was used in combination with population density and the gross domestic product to analyze the spatial distribution of Lanzhou's HSE and its drivers. The results showed that landscapes in Lanzhou underwent significant changes between 2000 and 2022, with an increase in building-up land (+0.946%), cultivated land (+0.134%), and forest land (+0.018%) and a decrease in grassland (−1.10%). There was significant outward expansion of the main urban zone of Lanzhou and of various county towns, with the increase in building-up land being most prominent. During this period, there were significant changes in the periphery of the core urban area and county towns in Lanzhou, with decreases moving from the urban center (the highest value) to the surrounding areas (Yongdeng County had the lowest value). The correlation between the HSE and population density grew stronger in Anning and Chengguan Districts but became weaker in Xigu and Qilihe Districts. Spatiotemporal variations in the HSE were primarily caused by climate change, followed by human activities, and were also influenced by the valley topography. Overall, the spatial distribution of population density and the HSE in Lanzhou demonstrated good consistency under the influence of economic development and urbanization.

Spatial-Temporal Evolution Characteristics Analysis of Color Steel Buildings in Lanzhou City

With the continuous acceleration of China’s urbanization process, color steel plate, as a new type of building material, has been widely used in all kinds of temporary buildings and has become the spatial carrier of the specific development stage of urbanization. This study focuses on Lanzhou City as a case study to deeply analyze the spatiotemporal distribution and evolution of color steel plate buildings. Utilizing data extracted from Google imagery and GF-2 satellite images of the built-up areas in Lanzhou, spatial statistical and analytical methods such as centroid analysis, compactness index, and patch density are applied. Systematic analysis is conducted across different time periods and spatial scales to examine the evolution of indicators, including quantity, centroid distribution, spatial clustering, and distribution direction. The results show that from 2013 to 2021, the prevalence of color steel buildings in Lanzhou city initially increased and then decreased, and the number peaked in 2017, but there is a significant difference between distinct areas in the urban area. By quantitatively analyzing the spatial and temporal evolution characteristics of color steel plate buildings, this study reveals the important role it plays in promoting the urbanization process and provides a scientific basis for relevant planning decisions.

Artificial Intelligence-Driven Multi-Energy Optimization: Promoting Green Transition of Rural Energy Planning and Sustainable Energy Economy

This research contributes to the overarching objectives of achieving carbon neutrality and enhancing environmental governance by examining the role of artificial intelligence-enhanced multi-energy optimization in rural energy planning within the broader context of a sustainable energy economy. By proposing an innovative planning framework that accounts for geographical and economic disparities across rural regions, this study specifically targets the optimization of energy systems in X County of Yantai City, Y County of Luoyang City, and Z County of Lanzhou City. Furthermore, it establishes a foundation for integrating these localized approaches into broader national carbon-neutral efforts and assessments of green total factor productivity. The comparative analysis of energy demand, conservation, efficiency, and economic metrics among these counties underscores the potential of tailored solutions to significantly advance low-carbon practices in agriculture, urban development, and industry. Additionally, the insights derived from this study offer a deeper understanding of the dynamics between government and enterprise in environmental governance, empirically supporting the Porter hypothesis, which postulates that stringent environmental policies can foster innovation and competitiveness. The rural coal-coupled biomass power generation model introduced in this work represents the convergence of green economy principles and financial systems, serving as a valuable guide for decision-making in decisions aimed at sustainable consumption and production. Moreover, this research underscores the importance of resilient and adaptable energy systems, proposing a pathway for evaluating emission trading markets and promoting sustainable economic recovery strategies that align with environmental sustainability goals.

Study on anti-seepage mechanism of attapulgite-modified loess in Northwest China

Loess is distributed widely in the arid areas in northwest China. Lanzhou city is located on the loess plateau, covered by a large area of deep collapsible Malan loess. Collapsible loess is a soft soil in engineering. It has a specific bearing capacity under dry conditions but will collapse after being immersed in water, which is unfavorable to engineering construction. This paper used the attapulgite abundant in the Zhangye City of Gansu Province as a modifier to improve the loess. The permeability test tested the permeability coefficient of the specimens under different dosages of attapulgite. The anti-permeability principle of attapulgite-modified loess was analyzed from the microscopic perspective by electron microscopy scanning (EMS) and nuclear magnetic resonance (NMR). The test results show that the permeability coefficient of attapulgite-modified loess decreases significantly compared with pure loess, but the permeability coefficient decreases gently when the content of attapulgite exceeds 10%. It was found that the anti-permeability mechanism of the modified loess was that the cohesive attapulgite particles filled the macropores of the loess particles, and the acicular attapulgite combined the loess particles to form a sheet structure, which reduced the porosity and permeability of the modified soil.

A Brief Discussion on Technical Points in the Restoration of an Ancient Building in Lanzhou City

With the change and development of The Times, the existing buildings are gradually aging and damaged, coupled with external objective factors and human factors, many building structures are seriously damaged or difficult to maintain the original architectural style. This paper will adopt Revit modeling and combine the principles of ancient building restoration and protection, take the restoration project of Tianqi Temple in Chengguan District of Lanzhou City as an example, analyze the damage of ancient buildings, discuss the reasons for the damage, focus on the analysis of ancient building restoration technology, simulate the construction process of ancient buildings, and provide reference for the future restoration and protection measures of ancient buildings.

Correlation analysis between left ventricular global longitudinal strain and major adverse cardiovascular event occurrence in patients with end-stage renal disease.

To explore the correlation between left ventricular global longitudinal strain (LVGLS) and major adverse cardiovascular event (MACE) occurrence in patients with end-stage renal disease (ESRD). From January 2019 to December 2023, ESRD patients undergoing maintenance dialysis and LVGLS measurement admitted to the First People's Hospital of Lanzhou City were selected as subjects. They were followed up for 12months to record the occurrence of MACEs, and divided into MACE group and non-MACE group according to MACE presence or absence. A total of 158 ESRD patients were included, with 32 patients in the MACE group and 126 patients in the non-MACE group. In the MACE group, high-sensitivity C-reactive protein (hs-CRP) level, peak troponin T (TNT) and the ratio of early diastolic mitral inflow velocity to early diastolic septal mitral annulus velocity (E/e') were higher, while hemoglobin, left ventricular ejection fraction (LVEF) and absolute LVGLS were lower compared with the non-MACE group (P < 0.05). Multivariate COX regression analysis revealed that LVGLS (HR = 1.06, 95% CI 1.02-1.10) and hs-CRP (HR = 1.17, 95% CI 1.23-1.31) were independent predictors of MACE occurrence in ESRD patients (P < 0.05). The area under the ROC curve (AUC) for MACE occurrence within 12months was 0.83 (95% CI 0.74-0.95), with a sensitivity of 89.9% and a specificity of 76.8%. The MACE-free survival rate in the high LVGLS group was higher compared to the low LVGLS group (P < 0.05). Reduced LVGLS is an independent risk factor for MACE occurrence in ESRD patients within 12months and a good prognostic indicator.

Exploring the impact of ambient temperature on respiratory diseases admissions, length of Stay, and hospitalization costs in Lanzhou City, based on distributed lag non-linear model

This study was to explore the relationships between daily mean temperature and hospital admissions, length of stay and hospitalization costs for respiratory diseases, and to estimate the risk effects and burden of disease. A time-series analysis was conducted by distributed lag non-linear model (DLNM) to explore the exposure-lag-response relationships between daily mean temperature and hospital admissions, length of stay, and hospitalization costs for respiratory diseases. The total cumulative exposure between the daily admissions, length of stay and hospitalization costs of respiratory diseases and the daily mean temperature showed significant nonlinear relationships, all with a shape approximately “W”. Extremely low temperature presented the greatest risk to respiratory diseases of admissions, length of stay and hospitalization costs, with the relative risks of 1.66 (95 % CI:1.32–2.09), 1.71 (95 % CI:1.33–2.20), 2.09 (95 % CI:1.53–2.84), respectively. The risks caused by low temperatures have delayed effect, capable of generating higher risks within lag 21 days. In contrast, the effects of high temperatures on the three outcomes only in the short term. The relative risks of exposure to extremely cold weather for elderly patients were the greatest, which were 2.47 (95 % CI:1.89–3.24), 2.11 (95 % CI:1.58–2.81) and 2.59 (95 % CI:1.81–3.70), respectively. In Lanzhou city, both low and high temperatures posed a certain risk to the hospital admissions, length of stay and hospitalization costs of respiratory diseases. Cold temperature exposure is the main risk factor to increase the risks of the three outcomes, and its risks have significant lag effect. Elderly patients are vulnerable to cold temperature exposure.

Taxonomic description of a new species of Leucoagaricus and utilization of the Pantone Connect app in classification research

A new species, Leucoagaricus brunneorube, is described based on morphological characteristics and phylogenetic analyses. It was discovered at Northwest Normal University in Lanzhou City, Gansu Province, China. Leucoagaricus brunneorube is characterized by its epigeous, with small to medium-sized basidiomata, pileal surface felty and white, densely covered with brownish red to maroon furfuraceous squamules, lamella edge darkens when dry, and stipe glabrous and cylindrical with a prominent bulbous base, bulb turning orange-red when bruised, and basidiospores ellipsoid and lack a germ pore, lamella edge sterile, cheilocystidia clavate, some with crystals at the apex, pleurocystidia absent, clamp connections absent in all tissues . In the process, the Pantone Connect app was used to describe the color of the fruitbody, thereby facilitating an exploration of the app’s potential in accurately describing colors in classification research of macrofungi.

Extraction of Lilium davidii var. unicolor Planting Information Based on Deep Learning and Multi-Source Data.

Accurate extraction of crop acreage is an important element of digital agriculture. This study uses Sentinel-2A, Sentinel-1, and DEM as data sources to construct a multidimensional feature dataset encompassing spectral features, vegetation index, texture features, terrain features, and radar features. The Relief-F algorithm is applied for feature selection to identify the optimal feature dataset. And the combination of deep learning and the random forest (RF) classification method is utilized to identify lilies in Qilihe District and Yuzhong County of Lanzhou City, obtain their planting structure, and analyze their spatial distribution characteristics in Gansu Province. The findings indicate that terrain features significantly contribute to ground object classification, with the highest classification accuracy when the number of features in the feature dataset is 36. The precision of the deep learning classification method exceeds that of RF, with an overall classification accuracy and kappa coefficient of 95.9% and 0.934, respectively. The Lanzhou lily planting area is 137.24 km2, and it primarily presents a concentrated and contiguous distribution feature. The study's findings can serve as a solid scientific foundation for Lanzhou City's lily planting structure adjustment and optimization and a basis of data for local lily yield forecasting, development, and application.

Research on Development Issues in Gobi New Cities: A Case Study of Lanzhou New Area

With the saturation of urban capacity in the old city of Lanzhou, the impetus of the Western Development, reinforcement of Lanzhou's central city's radiating effect, and the drive for transformational development of old industrial cities, the State Council officially approved the establishment of Lanzhou New Area as a national-level new area. This paper focuses on the construction and development issues of Gobi new cities, specifically addressing the case of Lanzhou New Area, while proposing corresponding countermeasures. Through analyzing the relationship between Lanzhou New Area and neighboring cities, as well as the geographical environment, the study identifies key issues hindering the new area's development, including inadequate infrastructure, environmental pressures, and limited radiating scope. In response, the paper presents a series of practical strategies and recommendations aimed at promoting the sustainable development of Gobi new cities represented by Lanzhou New Area.

Modeling Student Management and Civic Education Strategies from an Interdisciplinary Perspective

Abstract This paper issues from an interdisciplinary perspective, combining computer technology, principles of management and other multi-disciplinary knowledge to build a model of student management and civic education strategy. Two modules are part of the student management model: student behavior analysis and prediction. In student behavior analysis, the fuzzy C-means clustering algorithm is improved, and the Gaussian density function is used to determine the initial clustering center. In student behavior prediction, the convolutional network is used to input raw data, and the extracted features are inputted into the CABLSTM model for training and prediction of student behavior. The Civic Education Strategy Model is built on the principle of feedback control and is constructed at the school, family, and individual levels. In the analysis of student management and Civic and Political Education practice, teaching practice was conducted at University C in Lanzhou City, Gansu Province, China. After the practice, the number of students who are very satisfied and satisfied with the overall student management is 2, 356, accounting for 65.81%, and the comprehensive quality of students is in the middle to high range. The students’ life values, family and national sentiment, and thought level dimensions in Civic and political literacy have significant differences (P&lt;0.05), and the level of mastery of Civic and political knowledge is good.

Association Between Air Pollution and Cardiovascular Disease Hospitalizations in Lanzhou City, 2013-2020: A Time Series Analysis.

Extensive evidence has shown that air pollution increases the risk of cardiovascular disease (CVD) admissions. We aimed to explore the short-term effect of air pollution on CVD admissions in Lanzhou residents and their lag effects. Meteorological data, air pollution data, and a total of 309,561 daily hospitalizations for CVD among urban residents in Lanzhou were collected from 2013 to 2020. Distributed lag non-linear model was used to analyze the relationship between air pollutants and CVD admissions, stratified by gender, age, and season. PM2.5, NO2, and CO have the strongest harmful effects at lag03, while SO2 at lag3. The relative risks of CVD admissions were 1.0013(95% CI: 1.0003, 1.0023), 1.0032(95% CI: 1.0008, 1.0056), and 1.0040(95% CI: 1.0024, 1.0057) when PM2.5, SO2, and NO2 concentrations were increased by 10μg/m³, respectively. Each 1mg/m3 increase in CO concentration was associated with a relative risk of cardiovascular hospitalization of risk was 1.0909(95% CI: 1.0367, 1.1479). We observed a relative risk of 0.9981(95% CI: 0.9972, 0.9991) for each 10μg/m³ increase in O3 for CVD admissions at lag06. We found a significant lag effects of air pollutants on CVD admissions. NO2 and CO pose a greater risk of hospitalization for women, while PM2.5 and SO2 have a greater impact on men. PM2.5, NO2, and CO have a greater impact on CVD admissions in individuals aged <65years, whereas SO2 affects those aged ≥65years. Our research indicates a possible short-term impact of air pollution on CVD. Local public health and environmental policies should take these preliminary findings into account.

Diurnal difference of stable isotopes of precipitation in the summer half-year in Lanzhou City

Diurnal difference of stable isotopes of precipitation in the summer half-year in Lanzhou City

Clinical efficacy and short-term outcome of combining flexible cystoscopy with percutaneous nephrolithotomy for complex renal stone management.

This study aims to evaluate the clinical efficacy and short-term prognosis of using flexible cystoscopy with percutaneous nephrolithotomy to treat complex renal stones. A retrospective analysis was conducted on patients with complex kidney stones treated at Gansu Provincial Hospital of TCM and Lanzhou City No. 2 People's Hospital from July 2019 to July 2022. The study divided the patients into a control group (n=95), who underwent percutaneous nephrolithotomy alone, and an observation group (n=109), who received additional holmium laser lithotripsy and cystoscopy. We compared stone clearance rates at 5 days and 1 month post-surgery, analyzed patient prognosis over a year based on stone recurrence, and assessed risk factors through logistic regression. Perioperative data, changes in renal function indiex 3 days post-surgery, and complication rates were also evaluated. The observation group exhibited a significantly higher stone clearance rate at 5 days post-surgery (P=0.002) compared to the control group, although no significant difference was observed at 1 month (P=0.823). The operative time was significantly shorter (P<0.001), and postoperative levels of BUA, Cys-c, and β2-BMG were lower (P<0.05) in the observation group. Additionally, treatment regimen, BMI, and STONE score were influencing factors for stone recurrence within 1 year. Flexible cystoscopy combined with percutaneous nephrolithotomy offers superior short-term outcomes in the treatment of complex renal stones, including enhanced stone clearance, reduced operative time, and minimized renal function impairment shortly after surgery. Moreover, treatment approach, BMI, and STONE score play pivotal roles in predicting stone recurrence.

Impact of continuity of care based on Triangle theory on nutritional status of patients after pancreatic cancer surgery: a retrospective study.

To evaluate the impact of Triangle theory-based continuity of care on postoperative malnutrition in pancreatic cancer patients. We retrospectively analyzed the data from 184 patients with pancreatic cancer admitted to The Second People's Hospital of Lanzhou City from January 2020 to May 2023. Patients were divided into a control group receiving conventional care (n = 114) and a study group receiving Triangle theory-based care (n = 70). Postoperative nutritional status and prognosis were compared between the two groups. Nutritional indexes included serum total protein (STP), albumin (ALB), and hemoglobin (HB). Self-care ability was assessed using the Exercise of Self-care Agency (ESCA). Quality of life was measured using the Quality-of-Life Questionnaire for Pancreatic Cancer 26 (QLQ-PAN-26), and the incidence of malnutrition was evaluated using the Patient-Generated Subjective Global Assessment (PG-SGA). Multifactorial logistic regression was applied to analyze risk factors for malnutrition. At ten days post-operation, the study group showed significantly better nutritional levels (P < 0.05). After three months, the, study group also exhibited superior self-care ability and quality of life scores (all P < 0.001). The incidence of malnutrition was 42.39%. Independent risk factors for malnutrition included routine care (OR = 3.459), operation time ≥ 90 min (OR = 2.277), intraoperative bleeding ≥ 200 mL (OR = 2.590), postoperative day 1 ALB < 37.5 g/L (OR = 3.975), and HB < 95.5 g/L (OR = 6.068). Triangle theory-based continuity of care significantly improves nutritional status and quality of life in postoperative pancreatic cancer patients, demonstrating its potential for broader clinical use.

Effect of trans-theoretical model-based nursing intervention on emotion and fear in post-liver cancer surgery patients.

To investigate the efficacy of nursing interventions grounded in the trans-theoretical model on emotion and fear among patients undergoing surgery for hepatocellular carcinoma (HCC). The study included 188 surgical patients from the Second People's Hospital of Lanzhou City who underwent HCC intervention between March 2020 and May 2022. The control group comprised 81 patients receiving standard postoperative care, while the observation group included 107 patients who received nursing interventions based on the trans-theoretical model. We assessed outcomes using the Fear of Progression Questionnaire-Short Form (FOP-Q-SF), Quality of Life Questionnaire Core 30 (QLQ-C30), Gastrointestinal Comfort Questionnaire (GCQ), Self-Rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) before and after the intervention. Logistic regression was used to identify factors influencing post-intervention fear. Both groups showed improvement in FOP-Q-SF, QLQ-C30, GCQ, SAS, and SDS scores after the intervention. However, the observation group demonstrated significantly greater improvements (P < 0.05). There was a positive correlation between FOP-Q-SF scores and both SAS and SDS scores (all P < 0.05), and a negative correlation with QLQ-C30 and GCQ scores (both P < 0.05). Multifactorial logistic regression revealed that age (P < 0.001, OR: 8.328), gender (P < 0.001, OR: 0.181), literacy level (P < 0.001, OR: 0.354), and nursing care regimen (P < 0.001, OR: 0.078) were significant independent risk factors for persistence of fearpost-intervention. The implementation of nursing interventions based on the trans-theoretical model significantly reduces postoperative fear and anxiety, improves pain perception, and enhances overall comfort in patients after liver cancer surgery.

Prognostic factors in acute hypertensive intracerebral hemorrhage: impact of minimally invasive puncture and drainage.

To analyze the prognostic factors in patients with acute hypertensive intracerebral hemorrhage (HICH) undergoing minimally invasive puncture and drainage, providing scientific evidence to enhance clinical treatment strategies. A retrospective analysis was conducted on 350 patients with acute HICH treated at Gansu Provincial Hospital of Traditional Chinese Medicine and the First People's Hospital of Lanzhou City from March 2017 to January 2024. Patients were divided into two groups based on surgical method: the control group (n = 211) received traditional craniotomy, while the observation group (n = 139) underwent minimally invasive puncture and drainage. Functional scores, inflammatory markers, clinical efficacy, surgical time, first hematoma clearance rate, and hospitalization duration were compared between the groups. Patients were classified into poor prognosis (Glasgow Outcome Scale (GOS) score < 3) and improved prognosis (GOS score ≥ 3) groups. Logistic regression analysis identified independent risk factors for poor prognosis and examined their interaction with patient outcomes. Postoperative functional scores (National Institutes of Health Stroke Scale (NIHSS) score, GOS score, and Barthel Index) in the observation group were significantly better than those in the control group (all P < 0.001). Inflammatory markers (C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α)) were significantly lower post-treatment in the observation group compared to those in the control group (all P < 0.001). Multivariate logistic regression identified age (P = 0.003, OR = 0.573), time from onset to admission (P = 0.026, OR = 0.535), duration of hypertension (P = 0.006, OR = 1.766), and postoperative IL-6 levels (P = 0.048, OR = 1.870) as independent risk factors for poor prognosis. Prognosis was statistically associated with age (P = 0.040, OR = 0.978), time from onset to admission (P = 0.022, OR = 0.956), duration of hypertension (P = 0.022, OR = 1.085), and post-treatment IL-6 levels (P = 0.043, OR = 1.030). Minimally invasive puncture and drainage offer superior neurological recovery, reduced inflammatory response, and improved long-term prognosis compared to traditional craniotomy in the treatment of hypertensive intracerebral hemorrhage.

Clinical value of prognostic nutritional index combined with C-reactive protein and albumin in early prediction of anastomotic leakage after radical gastric cancer surgery.

To evaluate the predictive value of the Prognostic Nutritional Index (PNI) combined with C-reactive protein (CRP) and albumin (ALB) for anastomotic leakage following radical gastric cancer surgery. A retrospective case-control study was conducted with 275 gastric cancer patients at the Second People's Hospital of Lanzhou City from September 2019 to October 2022. Patients were categorized into an anastomotic leakage group (n=31) or a non-leakage group. Clinical, surgical, and pathological data were analyzed using logistic regression to develop two risk models: a combined clinical-laboratory index (RISK1) and a separate laboratory index (RISK2). Model effectiveness was compared using Receiver Operating Characteristic (ROC) curves. Anastomotic leakage occurred in 11.27% of patients, predominantly in those with advanced TNM stages (P=0.006). Notably, higher operative times (P=0.049) and increased intraoperative bleeding (P=0.027) were associated with the leakage group. Significant differences in ALB, PNI, and CRP levels were observed between the groups. Both RISK1 and RISK2 identified ALB, CRP, PNI, operative time, and intraoperative bleeding as independent predictors of leakage, demonstrating high predictive accuracy (RISK1 AUC=0.937, RISK2 AUC=0.911), with no significant difference in performance between the models (P=0.245). The combination of ALB, CRP, and PNI effectively predicts the risk of anastomotic leakage in patients undergoing gastric cancer surgery. These biomarkers can significantly enhance postoperative management and improve patient outcomes.

Response of trace elements in urban deposition to emissions in a northwestern river valley type city: 2010–2021

Anthropogenic activities release significant quantities of trace elements into the atmosphere, which can infiltrate ecosystems through both wet and dry deposition, resulting in ecological harm. Although the current study focuses on the emission inventory and deposition of trace elements, their complex interactions remain insufficiently explored. In this study, we employ emission inventories and deposition data for eight TEs (Cr, Mn, Ni, Cu, Zn, As, Cd, Pb) in Lanzhou City to unveil the relationship between these two aspects. Emissions in Lanzhou can be roughly divided into two periods centered around 2017. Preceding 2017, industrial production constituted the primary source of TEs emissions except for As; coal combustion was the primary contributor to Cr, Mn, and As emissions; waste incineration played a significant role in As, Zn, and Cd emissions; biomass combustion influenced Cr and Cd emissions; and transportation sources were the predominant contributors to Pb and Cu emissions. With the establishment of waste–to–energy plants and the implementation of ultra–low emission retrofits, emissions from these sources decreased substantially after 2017. Consequently, emissions from industrial production emerged as the main source of TEs. The deposition concentrations of Cr, Mn, Ni, Cu, and Pb followed a similar trend to the emissions. However, Cd and As exhibited lower emissions and a less pronounced response relationship. Moreover, Zn concentrations fluctuated within a narrow range and showed a weaker response to emissions. The consistent changes in emissions and TEs deposition concentrations signify a shift in deposition pollution in Lanzhou city from Coal–fired pollution to that driven by transportation and industrial activities. Within this transition, the industrial production process offers significant potential for emission reduction. This insight provides a crucial foundation for managing TEs pollution and implementing strategies to prevent ecological risks.