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"Objective To investigate the predictive value of multiple hematological markers in postoperative infection after hepatic carcinectomy, such as neutrophil to lymphocyte ratio (NLR) and monocyte to lymphocyte ratio (MLR). Methods A total of 326 hepatocellular carcinoma (HCC) patients received hepatectomy in the First Affiliated Hospital of Harbin Medical University from January 2019 to June 2023 were retrospectively included, and were divided into 72 cases (22.09%) in the infection group and 254 cases (77.91%) in the non-infection group, according to whether infection occurred during the postoperative hospitalization. Multivariate logistic regression was used to screen the independent risk factors for postoperative infections in HCC patients, and ROC curves were used to analyze the clinical value of each hematological marker in predicting postoperative infections in HCC patients. Results The results of multivariate logistic regression analysis showed that open surgery (OR=1.401, 95%CI: 1.043-1.881), drain placement time ＞7d (OR=1.344, 95%CI: 1.052-1.718), and increased PCT (OR=1.335, 95%CI: 1.005-1.773), NLR (OR=1.554, 95%CI: 1.216-1.986) and controlling nutritional status (COUNT) score (OR=1.465, 95%CI: 1.141-1.882) were risk factors for infection after hepatic carcinectonay (P＜0.05). The ROC curves showed that NLR had the highest predictive value for infection after hepatic carcinectomy (AUC: 0.781), followed by COUNT score (AUC: 0.675) and PCT had the lowest predictive performance (AUC: 0.602). Conclusion PCT, NLR and CONUT scores are all correlated with postoperative infection after hepatic carcinectomy and have predictive ability for postoperative infection, with NLR having the relatively highest predictive value."

The availability of accurate toponyms in user tweets is crucial for geolocating Twitter users.However, existing methods for locating Twitter users often suffer from limited quantity and reliability of acquired toponyms, thus impacting the accuracy of user geolocation.To address this issue, a twitter user geolocation method based on single-point toponym matching and local toponym filtering was proposed.A toponym type discriminating algorithm based on the aggregation degree of locations of the toponym was designed.In the proposed algorithm, a single-point toponym database was generated to provide more reliable toponyms extracted from tweets.Then, according to a proposed local place name filtering algorithm based on the aggregation degree of user location, the aggregation degree of user location centered on the longitude and latitude of toponyms and the average longitude and latitude of users were calculated.This process helped in extracting local toponyms with a high aggregation degree, which enhances the reliability of toponyms used in geolocation.Finally, a user-toponym heterogeneous graph was constructed based on user social relationships and user mentions of toponyms, and users were located by graph representation learning and neural networks.A large number of user geolocation experiments were conducted based on two commonly used public datasets in this field, namely GEOTEXT and TW-US.Comparisons with nine existing typical methods for Twitter user geolocation, including HGNN, ReLP, and GCN, demonstrate that our proposed method achieves significantly higher geolocation accuracy.On the GEOTEXT dataset, the average error is reduced by 7.3～342.8 km, the median error is reduced by 2.4～354.4 km, and the accuracy of large area-level geolocation is improved by 1.3%～26.3%.On the TW-US dataset, the average error is reduced by 8.6～246.6 km, the median error is reduced by 5.7～149.7 km, and the accuracy of large area-level geolocation is improved by 1.5%～20.5%.

Objective To evaluate the morphology of the upper airway of children with obstructive sleep apnea-hypopnea syndrome (OSAHS) using cone-beam computed tomography (CBCT) combined with polysomnography (PSG) and provide references for clinical practice. Methods CBCT data of 45 OSAHS children and 45 normal children and PSG data of the OSAHS group were retrospectively collected. Three-dimensional reconstructions were performed using NNT 9.0 software. The total upper airway volume, nasopharyngeal volume, palatopharyngeal volume, glossopharyngeal volume, laryngopharyngeal volume, minimum cross-sectional area, anterior-posterior diameter of the minimum cross-section, and lateral diameter of the minimum cross-section were measured and recorded. According to PSG monitoring results, patients with an obstructive apnea hypopnea index (OAHI) and lowest oxygen saturation (LSaO2) were assessed. Body mass index (BMI) was recorded. The correlation between airway volume parameters, BMI and PSG test results was analyzed. Results The total upper airway volume, nasopharyngeal volume, palatopharyngeal volume, glossopharyngeal volume, laryngopharyngeal volume, minimum cross-sectional area, anterior-posterior diameter of the minimum cross-section, and lateral diameter of the minimum cross-section of the OSAHS group were significantly reduced compared with those of the control group (P0.05). No significant correlation was noted between BMI and PSG in the OSAHS group (P>0.05). Conclusion The morphology of the upper airway of children with OSAHS was significantly smaller than that of normal children. CBCT three-dimensional technology for analyzing the upper airway has a certain value in evaluating the morphology and degree of obstruction of the upper airway in children with OSAHS.

With the acceleration of urbanization, the sustainability of urban water infrastructure projects has become pivotal to social development. This research aims to construct a comprehensive sustainability assessment model for urban water public‐private partnership (PPP) projects based on the environmental, social, and governance criteria. First, a multi‐level assessment indicator system is established considering the economic, social, ecological, and governance sustainability dimensions. Then, the extended analytic hierarchy process is utilized to determine the weights of indicators based on expert scoring. To address the ambiguity of qualitative linguistic variables, the interval‐valued intuitionistic fuzzy set method is applied to aggregate expert assessments. An empirical case study of an urban water project verifies the feasibility of the proposed approach. Results demonstrate that experts emphasize economic sustainability, while social sustainability is an overlooked dimension that requires improvement. The research contributes to the field by developing an applied, industry‐specific sustainability evaluation model for urban water PPP projects using advanced decision‐making techniques. This model provides practical tools for stakeholders to enhance the sustainable performance of urban water infrastructure projects. [ABSTRACT FROM AUTHOR]

To study the nonlinear dynamic behavior and system stability of a rubbing overhung rotor with viscoelastic and memory-effect damping and random uncertain parameters, this paper introduces a fractional-order modeling and stochastic dynamic analysis method for the nonlinear overhung rotor system with frictional impact faults. Firstly, the dynamic equations of the overhung rotor considering friction effect and fractional damping effect are established based on the transfer matrix method and fractional order derivative. Then, the time-domain response of the fractional-order dynamic equations is solved by combining the Runge–Kutta method and the continuous fractional expansion, and the steady-state response characteristics of different fractional damping are analyzed in the deterministic case. Finally, to analyze the response of the system under the effect of stochastic parameters, the sparse grid-based PCE metamodel of the system response is developed. Statistical moments, probability distributions, and sensitivity indices of the response of stochastic systems are revealed. The results of this paper provide a theoretical basis for efficient and accurate prediction of the stochastic response of nonlinear rubbing overhung rotor systems. [ABSTRACT FROM AUTHOR]

Introduction: This study aim to analyzed the main pollen allergen components that cause allergic asthma and/or rhinitis and the cross-reactions between the allergen components. Methods: Twenty one allergic rhinitis patients and 23 allergic asthma patients with pollen sensitization from the China Biological Information Repository of Respiratory Diseases were included. All the patients were detected serum pollen allergens components specific immunoglobulin E (sIgE) including Betula verrucosa (Bet v 1, Bet v 2, Bet v 4), Quercus alba (Pla a 1, Pla a 2), Ambrosia elatior (Amb a 1), Artemisia vulgaris (Art v 1, Art v 3, Art v 4), Bermuda grass (Cyn d 1, Cyn d 12), Phleum pratense (Phl p 5, Phl p 1, Phl p 4, Phl p 7, Phl p 12), and cross-reactive carbohydrate determinants. Results: In patients with asthma, Phl p 4 had the highest positive rate (60.9%), followed by Phl p 1 (43.5%) and Pla a 2 (34.8%), while in patients with rhinitis, Amb a 1 had the highest positive rate (71.4%), followed by Phl p 4 (61.9%) and Pla a 2 (42.9%). Meanwhile, Phl p 1 (43.5%) in asthma patients was higher than that in rhinitis (4.7%, p = 0.03), while Amb a 1 (71.4%) in rhinitis patients was higher than that in asthma (26.1%, p = 0.03). Interestingly, optimal scale analysis show that the severity of both asthma and rhinitis is related to Bet v 4 (Cronbach's Alpha = 95.0%). Conclusions: In general, Phl p 4 is the main allergenic component in pollen sensitized asthma patients, while Amb a 1 is the main allergenic component in pollen sensitized rhinitis patients. Sensitization to Bet v 4 may lead to more severe symptoms, and this result may be applied in future clinical precise diagnosis. [ABSTRACT FROM AUTHOR]