Turning inward in difficulties: R&D human resource slack, technological diversification, and independent innovation.

Independent innovation emphasizes the self-reliance and control of all key links. Slack resources within an organization, especially for innovation, are the critical resources that are controllable for independent innovation. However, existing research still lacks evidence on the areas of slack innovation resources and independent innovation for deeper exploration. This research addresses this gap by providing an empirical analysis of the relationship between R&D human resource slack and firms' independent innovation. Based on the unbalanced panel data of China's listed manufacturing firms for eleven years, this research explores the effects of R&D human resource slack on firms' independent innovation, the mediating mechanism of technological diversification, and the boundary effects of top management team functional heterogeneity. The results reveal that R&D human resource slack positively affects firms' independent innovation; R&D human resource slack can promote firms' independent innovation through related technological diversification, while the mediating effect of unrelated technological diversification is not statistically significant; the top management team functional heterogeneity strengthens the positive impact of R&D human resource slack on firm independent innovation.

Impact of infection on healthcare costs and clinical outcomes in elderly hospitalized patients with multimorbidity.

Background: Elderly patients with multimorbidity are at higher risk of greater healthcare costs and poor outcomes due to decreased physical function. The aim of this study was to investigate the impact of infection on healthcare costs and poor outcomes in elderly hospitalized patients with multimorbidity. Methods: We retrospectively enrolled 264 patients who met the inclusion criteria from the department of geriatrics of a large public hospital in Shanghai, China between January 2020 and December 2020. Patients were divided into two groups based on whether they had infection [infection present on admission (IPOA) or healthcare-associated infection(HAI)]. We recorded the basic information and follow-up information of all patients. The follow-up information included 30-day and 1-year all-cause readmission and mortality. Then we analyzed the association between infection and healthcare costs and clinical outcomes. Results: Among 264 subjects, 47.73 % of them achieved IPOA or HAI. The 30-day poor outcomes rate was 45.45 %, and the 1-year poor outcomes rate was 78.41 %. Compared with subjects without infection, the number of drugs and the disease burden were greater in subjects with infection(P < 0.001). Subjects with infection had longer length of hospital stay(P < 0.001) and had greater healthcare cost(P < 0.001). Moreover, subjects with infection had higher poor outcomes rates of 30-day and 1-year(P < 0.001). Infection could predict greater total cost [odds ratio (OR): 1.32, 95 % CI: 1.18,1.49,P < 0.001], nursing cost(OR: 11.45, 95 % CI: 3.49,37.63,P < 0.001), and medicine cost (OR: 2.37, 95 % CI: 1.70,3.31,P < 0.001). In addition, infection was also independently associated with the 30-day poor outcomes rate(OR:3.07, 95%CI: 1.80,5.24,P < 0.001), but we found no association between infection and 1-year poor outcomes rate(OR:1.43, 95 % CI:0.73,2.79,P = 0.300) after adjustment. Conclusions: Infection was a risk factor for higher healthcare cost and 30-day poor outcome rate in elderly hospitalized patients with multimorbidity.

Risk Factors for Occupational Blood Exposure, Compliance with Policies of Infection Prevention and Control, and Costs Associated with Post Exposure Management Among Nursing Staff.

Objective: To examine the risk factors linked with occupational blood exposure (OBE) among nursing staff (NS), we pinpoint deficiencies in the compliance with policies of infection prevention and control, and assess the expenditures associated with infection prevention and control. Methods: Healthcare workers that completed an "Occupational Blood Exposure Report Form" were divided into NS (observation) group and non-NS (control) group. Univariate and multivariable analyses were conducted to compare both groups in various aspects. We also explored design patents intended to minimize occupational exposure. Results: The highest incidence of OBE was observed in the department of neurosurgery. Among NS, OBE incidence was found to be influenced by independent risk factors, such as gender, age, occupational title, work location, and incidence of sharps injuries. Protective factors against OBEs included the use of arterial blood gas needles and suture needles. Personal protective equipment (PPE) usage rates were low in both groups prior to OBEs (0.74% vs 0.00%, P > 0.05). Correct emergency management could be improved promptly by both groups following an OBE (P > 0.05). However, the observation group exhibited a higher proportion of blood expression after a sharps injury and a higher re-evaluation rate at 6 months post-exposure compared to the control group (P < 0.05). In 2018, the per capita costs of infection prevention and control for NS were the Chinese Yuan (RMB) 339.43 per individual. In response to these findings, two utility model patents have been authorized. Conclusion: The risk and protective factors related to the occurrence of OBEs were investigated in this study, suggesting that there is a need for improvement in the rate of PPE usage and the re-evaluation rate of OBEs among NS. Additionally, focused training on emergency blood expression and compliance with policies among non-NS personnel is deemed necessary.

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.

Health disparities among marginalized populations with lower socioeconomic status significantly impact the fairness and effectiveness of healthcare delivery. The increasing integration of artificial intelligence (AI) into healthcare presents an opportunity to address these inequalities, provided that AI models are free from bias. This paper aims to address the bias challenges by population disparities within healthcare systems, existing in the presentation of and development of algorithms, leading to inequitable medical implementation for conditions such as pulmonary embolism (PE) prognosis. In this study, we explore the diverse bias in healthcare systems, which highlights the demand for a holistic framework to reducing bias by complementary aggregation. By leveraging de-biasing deep survival prediction models, we propose a framework that disentangles identifiable information from images, text reports, and clinical variables to mitigate potential biases within multimodal datasets. Our study offers several advantages over traditional clinical-based survival prediction methods, including richer survival-related characteristics and bias-complementary predicted results. By improving the robustness of survival analysis through this framework, we aim to benefit patients, clinicians, and researchers by enhancing fairness and accuracy in healthcare AI systems.

Government fiscal decentralization and haze and carbon reduction: Evidence from the fiscal Province-Managing-County reform.

Government governance reform is not only a vital motivation for high economic quality but also an important factor in stimulating the government's environmental governance responsibility. The article empirically examines the fiscal Province-Managing-County (PMC) pilot reform on the synergic governance of haze and carbon reduction and its mechanism. The results show that the policy helps to realize the synergic governance of haze and carbon reduction, and the reform of fiscal Province-Managing-County promotes regional haze and carbon reduction mainly through structural effect, innovation effect, and fiscal expenditure responsibility effect. The heterogeneity analysis shows that the policy has an asymmetric effect on haze and carbon reduction under different administrative structures, economic structures and levels of government intervention. Further analysis shows a policy linkage effect between this policy and the Green Fiscal Policy. The policy has the situation of blood-sucking in the provincial capital city and leads to an increase in financial funds. The above results prove that the policy can help to realize haze and carbon reduction and provide practical ideas for the further expansion of the policy. At the same time, it provides the direction for the local government to realize the double-carbon goal.

Assessment of spilled oil dispersion affected by dispersant: Characteristic, stability, and related mechanism.

Oil dispersion, a crucial process in oil transport, involves the detachment of oil droplets from slicks and their introduction into the water column, influencing subsequent oil migration and transformation. This study examines oil dispersion, considering characteristics, stability, and mechanisms, while evaluating the impact of dispersants and salinity. Results show the significant role of surfactant type in dispersants on oil dispersion characteristics, with anionic surfactants exhibiting higher sensitivity to salinity changes compared to nonionic surfactants. The dispersion efficiency varies with salinity, with anionic surfactants performing better in low salinity (<20‰) and nonionic surfactants showing superior performance at 30-35‰ salinities. Rheological analysis illustrates the breakup and coalescence of oil droplets within the shear rates of breaking waves. An increase in interfacial film rigidity impedes the coalescence of oil droplets, contributing to the dynamic stability of the oil-water hybrid system. The use of GM-2, a nonionic dispersant, results in the formation of a solid-like interface, characterized by increased elastic modulus, notably at 20‰ salinity. However, stable droplet size distribution (DSD) at 35‰ salinity for 60 h suggests droplets can remain dispersed in seawater. The enhancement of stability of oil dispersion is interpreted as the result of two mechanisms: stabilizing DSD and developing the strength of viscoelastic interfacial film. These findings offer insights into oil dispersion dynamics, highlighting the importance of surfactant selection and salinity in governing dispersion behavior, and elucidating mechanisms underlying dispersion stability.

Disparities in Survival Outcomes Between Locally Advanced Cervical Squamous Cell Carcinoma and Adenocarcinoma Treated with Chemoradiotherapy.

Purpose: To determine the disparities in survival outcomes between stage IIB-IVA cervical squamous cell carcinoma (SCC) and adenocarcinoma (AC) treated with chemoradiotherapy. Methods: Patients diagnosed between 2004 and 2015 were retrospectively included from the Surveillance, Epidemiology, and End Results databases. Propensity score matching (PSM) was used in this study. The primary endpoints were cervical cancer-specific survival (CCSS) and overall survival (OS). Results: A total of 2752 patients were identified, including 87.5% (n=2408) were SCC and 12.5% (n=344) were AC. Patients with AC had inferior 5-year CCSS (67.5% vs 54.8%, P<0.001) and OS (58.4% vs 47.2%, P<0.001) compared to those with the SCC subtype. The hazard curve of cervical cancer-related death in AC peaked at 2 years (19%) and still small peaks in the 7 and 11 years of follow-up. Regarding SCC, cervical cancer-related deaths peaked at 2 years (15%) and the hazard rate was 2.0% during the six years of follow-up. The multivariate Cox regression analyses indicated that histology was an independent prognostic factor associated with survival outcomes. Patients with AC had significantly poor CCSS (P<0.001) and OS (P<0.001). Similar results were found after PSM. Conclusion: Our study demonstrates a significantly better prognosis for cervical SCC patients compared to those with cervical AC undergoing chemoradiotherapy. These results highlight the importance of histological subtyping in predicting treatment outcomes and tailoring therapeutic strategies.

Study on induced radioactivity and individual dose evaluation in Gantry room for Varian ProBeam Proton Therapy System.

Proton therapy has emerged as an advantageous modality for tumor radiotherapy due to its favorable physical and biological properties. However, this therapy generates induced radioactivity through nuclear reactions between the primary beam, secondary particles, and surrounding materials. This study focuses on systematically investigating the induced radioactivity in the gantry room during pencil beam scanning, utilizing both experimental measurements and Monte Carlo simulations. Results indicate that patients are the primary source of induced radioactivity, predominantly producing radionuclides such as 11C, 13N, and 15O. Long-term irradiation primarily generates radionuclides like 22Na, 24Na, and 54Mn etc. Additionally, this study estimates the individual doses received by medical workers in the gantry room, the irradiation dose for patient escorts, and the additional dose to patients from residual radiation. Finally, the study offers recommendations to minimize unnecessary irradiation doses to medical workers, patient escorts, and patients.

Analyst optimism, information disclosure, and stock price collapse risk: Empirical insights from China's A-share market.

This study selects stock data of listed companies in China's A-share stock market from 2011 to 2020 as research samples. Using a fixed-effects model, it examines the impact of analyst optimism on stock price collapses and the moderating effect of information disclosure quality. Simultaneously, it conducts additional research to explore the potential transmission mechanisms involved. The main findings are as follows: Firstly, a positive correlation exists between analyst optimism and the risk of stock price collapse. Secondly, improving information disclosure quality of listed companies can enhance the positive impact of analyst optimism on the risk of stock price collapses and expedite the market's adjustment of overly optimistic valuations of listed companies. Additionally, analyst optimism can increase the risk of stock price collapses by affecting institutional ownership. These findings provide theoretical support for regulatory authorities to revise and improve the "information disclosure evaluation" system, regulate the analyst industry, guide analyst behavior, and encourage listed companies to enhance internal governance and improve information disclosure practices.

Revisiting the Ultraviolet Absorption Cross Section of Gaseous Nitrous Acid (HONO): New Insights for Atmospheric HONO Budget.

Nitrous acid (HONO) is an important source of hydroxyl radicals (OH) in the atmosphere. Precise determination of the absolute ultraviolet (UV) absorption cross section of gaseous HONO lays the basis for the accurate measurement of its concentration by optical methods and the estimation of HONO loss rate through photolysis. In this study, we performed a series of laboratory and field intercomparison experiments for HONO measurement between striping coil-liquid waveguide capillary cell (SC-LWCC) photometry and incoherent broadband cavity-enhanced absorption spectroscopy (IBBCEAS). Specified HONO concentrations prepared by an ultrapure standard HONO source were utilized for laboratory intercomparisons. Results show a consistent ∼22% negative bias in measurements of the IBBCEAS compared with a SC-LWCC photometer. It is confirmed that the discrepancies occurring between these techniques are associated with the overestimation of the absolute UV absorption cross sections through careful analysis of possible uncertainties. We quantified the absorption cross section of gaseous HONO (360-390 nm) utilizing a custom-built IBBCEAS instrument, and the results were found to be 22-34% lower than the previously published absorption cross sections widely used in HONO concentration retrieval and atmospheric chemical transport models (CTMs). This suggests that the HONO concentrations retrieved by optical methods based on absolute absorption cross sections may have been underestimated by over 20%. Plus, the daytime loss rate and unidentified sources of HONO may also have evidently been overestimated in pre-existing studies. In summary, our findings underscore the significance of revisiting the absolute absorption cross section of HONO and the re-evaluation of the previously reported HONO budgets.

LipidSIM: Inferring mechanistic lipid biosynthesis perturbations from lipidomics with a flexible, low-parameter, Markov modeling framework.

Lipid metabolism is a complex and dynamic system involving numerous enzymes at the junction of multiple metabolic pathways. Disruption of these pathways leads to systematic dyslipidemia, a hallmark of many pathological developments, such as nonalcoholic steatohepatitis and diabetes. Recent advances in computational tools can provide insights into the dysregulation of lipid biosynthesis, but limitations remain due to the complexity of lipidomic data, limited knowledge of interactions among involved enzymes, and technical challenges in standardizing across different lipid types. Here, we present a low-parameter, biologically interpretable framework named Lipid Synthesis Investigative Markov model (LipidSIM), which models and predicts the source of perturbations in lipid biosynthesis from lipidomic data. LipidSIM achieves this by accounting for the interdependency between the lipid species via the lipid biosynthesis network and generates testable hypotheses regarding changes in lipid biosynthetic reactions. This feature allows the integration of lipidomics with other omics types, such as transcriptomics, to elucidate the direct driving mechanisms of altered lipidomes due to treatments or disease progression. To demonstrate the value of LipidSIM, we first applied it to hepatic lipidomics following Keap1 knockdown and found that changes in mRNA expression of the lipid pathways were consistent with the LipidSIM-predicted fluxes. Second, we used it to study lipidomic changes following intraperitoneal injection of CCl4 to induce fast NAFLD/NASH development and the progression of fibrosis and hepatic cancer. Finally, to show the power of LipidSIM for classifying samples with dyslipidemia, we used a Dgat2-knockdown study dataset. Thus, we show that as it demands no a priori knowledge of enzyme kinetics, LipidSIM is a valuable and intuitive framework for extracting biological insights from complex lipidomic data.

Overcoming public resistance to carbon taxes: A cost-efficient solution built on a pre-existing reward-based climate policy.

A carbon tax is effective at curbing carbon emissions, but it is met with low public support due to its high personal cost. Investigations have been conducted to reform carbon tax design to ease the burden on individuals by providing economic compensation, but the cost for governments is high. We propose a new cost-efficient solution by introducing people to a pre-existing reward-based climate policy to create a sense of economic compensation. Across three experiments, we show that the presence of a pre-existing reward-based climate policy increases participants' support for a carbon tax, especially when the innate connection between the two policies is made salient and people regard the reward as compensation for the tax. In contrast, if people are distracted from sensing this interrelationship, support for the tax does not differ from when it is introduced alone. Applicability of this approach was tested under different conditions where the pressure to reduce carbon emission is either high or low.

Disease and Economic Burden of Kashin-Beck Disease - China, 2021 .

What is already known about this topic?: Kashin-Beck disease (KBD) is a chronic and degenerative osteoarthropathy characterized by cartilage degeneration. It is an endemic disease that is highly prevalent among the Chinese population and poses a significant health risk. What is added by this report?: This is the first national report on the economic burden of KBD in China. According to the data from 2021, KBD has caused significant disease and economic burdens. The most substantial reduction in healthy life expectancy was observed among patients with degree II severity and those aged 60 years and older, resulting in a total indirect economic burden of 112.74 million Chinese Yuan (CNY). What are the implications for public health practice?: The results of this study will contribute to informing the development of tailored prevention and control strategies by the government. These strategies will include targeted policies and recommendations for appropriate healthcare and financial subsidies, which will be based on the demographic characteristics of the endemic areas.

Quantitative assessment of early kidney injury using high frame rate contrast-enhanced ultrasonography in a rabbit model of diabetic nephropathy.

AIM: To explore benefits of high-frame-rate contrast-enhanced ultrasonography (H-CEUS) for early kidney injury in a rabbit model of diabetic nephropathy (DN). METHODS: Diabetic rabbits were induced with alloxan administration and split into 2 groups with or without urinary microalbuminuria after a fatty and sugary diet: diabetic rabbits with nephropathy (Group A) and diabetic rabbits without nephropathy (Group B). The control group (Group C) comprised healthy rabbits. Renal H-CEUS and conventional CEUS (C-CEUS) imaging were conducted. Serum creatinine (SCR), blood urea nitrogen (BUN) and urinary microalbuminuria were measured. RESULTS: SCR and BUN levels were barely changed in Groups B and C (p>0.05), whereas Group A exhibited a rise (p<0.05). Perfusion parameters of the two CEUS modalities showed reduced peak intensity (PI) and ascending slope (AS) and elevated area under the curve (AUC) and time to peak (TTP) in Group A versus Group B (p<0.05) and Group B versus Group C (p<0.05). The arrival time (AT) and descending slope (DS) exhibited little difference among the three groups. H-CEUS had a stronger correlation of perfusion parameters with SCR and BUN than C-CEUS. CONCLUSIONS:  H-CEUS outperforms C-CEUS in diagnosing early renal damage in DN. H-CEUS perfusion parameters demonstrate temporal superiority over routine laboratory indices.

Clinical value assessment for serum hsa_tsr013526 in the diagnosis of gastric carcinoma.

Gastric carcinoma (GC) is a malignant tumor that is detrimental to human health. Transfer RNA-derived small RNAs are a newly identified class of noncoding small RNAs with specific biological functions that are aberrantly expressed in cancer. The aim of this study was to investigate the potential of hsa_tsr013526 as a biomarker for GC. Quantitative real-time fluorescence polymerase chain reaction was used to detect the expression level of hsa_tsr013526. The molecular characteristics of hsa_tsr013526 were verified by agarose gel electrophoresis, Sanger sequencing, and separation of nuclear and cytoplasmic RNA fractions. By testing the receiver operating characteristic (ROC) curves, the diagnostic efficiency of GC using hsa_tsr013526 was determined. Finally, we predicted the downstream of hsa_tsr013526 using functional assays and bioinformatics analysis. Serum expression of hsa_tsr013526 was higher in GC patients than in healthy donors. Serum expression showed differential changes in GC patients, gastritis patients, and healthy donors. Chi-squared tests showed that high expression of hsa_tsr013526 was significantly correlated with T stage, lymphatic metastasis, and tumor node metastasis stage. ROC curve analysis indicated that GC patients could be discriminated from healthy donors or gastritis patients based on their serum levels of hsa_tsr013526. Furthermore, hsa_tsr013526 expression was significantly reduced in postoperative GC patients (p = .0016). High expression of hsa_tsr013526 promotes gastric cancer cell proliferation, invasion, and migration. Serum hsa_tsr013526 was stable and specific, and could be used for dynamic monitoring of GC patients. Therefore, hsa_tsr013526 may be a new biomarker for the diagnosis and postoperative monitoring of GC patients.

Comparative assessment of emulsifiers for in vitro ruminal gas production and fermentation measurements: Tween 80 is a suitable emulsifier.

Emulsifiers are essential for achieving a homogenous distribution of lipophilic supplements in in vitro rumen fluid incubations. Since emulsifiers can alter rumen fermentation, it is crucial to select one that minimally impacts fermentation parameters to reduce potential biases. This study aimed to evaluate seven emulsifiers' impact on in vitro ruminal fermentation using the Hohenheim Gas Test in order to identify the most inert emulsifier. Rumen fluids were collected from three non-lactating Original Brown-Swiss cannulated cows before morning feeding and incubated for 24 h with a basal diet in triplicates. The emulsifiers tested were ethanol, ethyl acetate, propylene glycol, glycerol, ethylene glycol, soy lecithin, and Tween® 80, each in two dosages (0.5% or 1% v/v). The untreated basal diet served as control. Compared to control, in vitro organic matter digestibility was enhanced by ethyl acetate (by 36.9 and 48.2%), ethylene glycol (by 20.6 and 20.1%), glycerol (by 46.9 and 56.8%) and soy lecithin (by 19.7 and 26.8%) at 0.5 and 1% dosage, respectively. Additionally, the 24-h methane production increased for ethanol (by 41.9 and 46.2%), ethylene glycol (by 50.5 and 51.5%), and glycerol (by 63.1 and 65.4%) for the 0.5 and 1% dosage, respectively, and 0.5% dosage for ethyl acetate (by 31.6%). The acetate molar proportion was 17.2%pt higher for ethyl acetate, and 25.5%pt lower for glycerol at 1% dosage, compared to the control. The propionate concentration was 22.1%pt higher 1% glycerol, and 15.2%pt and 15.1%pt higher for 0.5 and 1% propylene glycol, respectively, compared to the control. In summary, Tween® 80 did not significantly affect in vitro rumen fermentation parameters, making it the most suitable choice for in vitro incubations involving lipophilic substances in rumen fluid. Ethanol may be considered as an alternative emulsifier if methane production is not the variable of interest.

Implantable Flexible Sensors for Health Monitoring.

Flexible sensors, as a significant component of flexible electronics, have attracted great interest the realms of human-computer interaction and health monitoring due to their high conformability, adjustable sensitivity, and excellent durability. In comparison to wearable sensor-based in vitro health monitoring, the use of implantable flexible sensors (IFSs) for in vivo health monitoring offers more accurate and reliable vital sign information due to their ability to adapt and directly integrate with human tissue. IFSs show tremendous promise in the field of health monitoring, with unique advantages such as robust signal reading capabilities, lightweight design, flexibility, and biocompatibility. Herein, a review of IFSs for vital signs monitoring is detailly provided, highlighting the essential conditions for in vivo applications. As the prerequisites of IFSs, the stretchability and wireless self-powered properties of the sensor are discussed, with a special attention paid to the sensing materials which can maintain prominent biosafety (i.e., biocompatibility, biodegradability, bioresorbability). Furthermore, the applications of IFSs monitoring various parts of the body are described in detail, with a summary in brain monitoring, eye monitoring, and blood monitoring. Finally, the challenges as well as opportunities in the development of next-generation IFSs are presented.

Establishment and application of severity assessment system for patients with delayed encephalopathy caused by carbon monoxide poisoning.

OBJECTIVE: To identify the factors related to the severity of delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) and establishment of a clinical nomogram assessment model. METHODS: Clinical data of 200 patients with DEACMP admitted to the First Hospital of Yulin from January 2019 to December 2022 were retrospectively analyzed. The patients were classified into severe and non-severe groups according to the severity of the disease. Clinical data was collected from both groups. Logistic regression was applied to analyze the risk factors for disease severity of DEACMP patients. The risk prediction model of the nomogram was constructed by incorporating risk factors, and its effectiveness was verified. Model differentiation performance was evaluated using the Respondent Operating Characteristic (ROC) Curve. Model calibration curve was adopted for fitting the situation of evaluation. The consistency of the model was evaluated by Hosmer-Lemeshow (H-L) analysis. RESULT: Age, coma time out of exposure, creatine kinase (CK), caspase, and red blood cell distribution width (RDW) were the risk factors for the severe DEACMP. A nomogram prediction model was built based on the above indicators. The area under the curve (AUC) of the model in predicting severe DEACMP was 0.961 (95% CI: 0.934-0.988) and 0.929 (95% CI: 0.841-1) in the training and test sets, respectively. The H-L test showed good goodness of fit (χ2 = 4.468, P = 0.813). The calibration curve showed a good agreement between the predicted values of the nomogram and the actual observed values. CONCLUSION: Age, coma time out of exposure, CK, caspase, and RDW were significantly correlated with the severity of DEACMP patients. The nomogram prediction model incorporating the five indicators has certain clinical reference value for predicting the severe DEACMP and could be used as an accurate and rapid clinical assessment tool.

[Source Analysis and Health Risk Assessment of PAHs in PM2.5, Lüliang City].

To investigate the seasonal variation, health risks, and potential sources of polycyclic aromatic hydrocarbons(PAHs) in PM2.5 in the Lüliang area, PM2.5 samples were collected in Lishi District(downtown area) and Xiaoyi City(suburban area) from October 23, 2018 to July 1, 2019, and the concentrations of 14 PAHs were determined using gas chromatography-mass spectrometry(GC-MS). The annual average concentration of PAHs was 95.50 ng·m-3, and the concentration of 5-6 ring PAHs was mainly(49.7%), with 3 ring PAHs accounting for a relatively low proportion(8.3%).The concentration of PAHs in Lüliang City showed a seasonal pattern of winter>autumn>spring>summer. The results of the ILCRs model and Monte Carlo simulation showed that the toxicity of PAHs in Lüliang City followed the rule of adults>youth>children. Except in summer, the ILCRs values in the Lishi area were between 10-6 and 10-4, much higher than those in Xiaoyi City, indicating that there was a high potential risk of polycyclic aromatic hydrocarbons in the urban area. Through the characteristic ratio method and positive matrix factorization(PMF), it was shown that the PAHs in Lüliang City were mainly from the combustion of coal and biomass(61.9%) and vehicle exhaust emissions(38.1%). Based on the backward trajectory and potential source factor contribution analysis model, it was determined that the potential sources of PAHs in Lüliang City were mainly distributed in southern Shanxi, northern Shaanxi, and western Inner Mongolia.