Agglomeration and green technology innovation efficiency of industrial enterprises – based on spatial statistical analysis

Based on China’s provincial panel data from 2009 to 2019, this paper empirically tests and analyzes the effects of industrial agglomeration and other important economic variables on industrial green technology innovation efficiency from the perspective of spatial statistical analysis. The results show that the efficiency of China’s industrial green innovation has not changed much during the study period, exhibiting an obvious polarization phenomenon. Moreover, the improvement of the degree of industrial agglomeration is conducive to the regional green innovation efficiency level. This means that industrial agglomeration produces effective environmental and innovation benefits. In addition, the influence coefficient of enterprise-scale is negative, indicating that for Chinese industrial enterprises, the enlargement of the production scale weakens the promotion effect of R&D activities. The influence coefficient of human capital is negative, mainly because the direct effect has a small and positive value, while the indirect effect (spillover effect) has a negative and large value, indicating that the spillover effect of human capital between regions in China is deficient

Underwater-Acoustic-OFDM Channel Estimation Based on Deep Learning and Data Augmentation

In UnderWater-Acoustic-Orthogonal-Frequency-Division-Multiplexing-(UWA-OFDM) communication, the traditional interpolated channel estimation method produces error codes, due to the small number of user pilots, uneven distribution, and complex channel characteristics. In this paper, we propose a novel UWA-channel-estimation method based on Deep Learning (DL). First, based on a small number of channel samples, we used the CWGAN-GP model to generate enhanced classified underwater-acoustic channel samples to have semantic similarity to the real samples and also to present the diversity of the samples. After obtaining the channel sample, the pilot estimation matrix was processed in a similar image way. Here, we extracted the channel features by constructing a convolutional network structure similar to U-Net, weakening the impact of feature information loss. A Channel-Attention-Denoising-(CAD) module was also designed, to further optimize the reconstructed channel information. The simulation results verified the superiority of the proposed algorithm, in terms of Mean Square Error (MSE) and Bit-Error Rate (BER) compared to the existing Least-Squares-(LS), Deep-Neural-Network-(DNN), and ChannelNet algorithms

A Comparative Study of Acute and Chronic Pain between Single Port and Triple Port Video-assisted Thoracic Surgery for Lung Cancer

Background and objective Through the comparative analysis of the acute and chronic pain postoperative between the single port and triple port video-assisted thoracic surgery to seek the better method which can reduce the incidence of acute and chronic pain in patients with lung cancer. Methods Data of 232 patients who underwent single port -VATS (n=131) or triple port VATS (n=101) for non-small cell lung cancer (NSCLC) on January 1, 2016 to June 30, 2017 in our hospital were analyzed. The clinical and operative data were assessed, numeric rating scale (NRS) was used to evaluate the mean pain score on the 1th, 2th, 3th, 7th, 14th days, 3th months and 6th months postoperative. Results Both groups were similar in clinical characteristics, there were no perioperative death in two groups. In the 1th, 2th, 7th, 14th days and 3th, 6th months postoperative, the NRS score of the single port group was superior, and the difference was significant compared with the triple port (P0.05). Univariate and multivariate analysis of the occurrence on the chronic pain showed that the operation time, surgical procedure and the 14th NRS score were risk factors for chronic pain (P<0.05). Conclusion The single port thoracoscopic surgery has an advantage in the incidence of acute and chronic pain in patients with non-small cell lung cancer. Shorter operative time can reduce the occurrence of chronic pain. The 14th day NRS score is a risk factor for chronic pain postoperative

Clinical Efficacy Analysis of Wedge Resection of Pulmonary in Patients with Small Volume Invasive Lung Adenocarcinoma

Background and objective With further understanding and research into non-small cell lung cancer with tumours ≤2 cm in maximum diameter, segmental lung resection is able to achieve the same long-term prognosis as lobectomy. However, there are few studies on the prognostic effect of wedge resection on small volume invasive lung adenocarcinoma with an invasion depth of 0.5 to 1.0 cm. Therefore, this study focuses on the clinical efficacy and prognosis of wedge resection in patients with small-volume invasive lung adenocarcinoma. Methods A retrospective analysis of the medical records of 208 patients who underwent surgery in the Department of Thoracic Surgery of the Affiliated Provincial Hospital of Anhui Medical University from February 2016 to December 2017 was made, and the postoperative pathological results confirmed small volume invasive lung adenocarcinoma. According to their surgical methods, they were divided into lobectomy group (n=115), segmentectomy group (n=48) and wedge resection group (n=45). Kaplan-Meier survival curve estimation and Cox proportional risk regression model were used to explore the influence of different surgical methods on the prognosis of patients with small volume invasive lung adenocarcinoma. Results The wedge resection group had better perioperative outcomes compared with the segmentectomy group and lobectomy group, with statistically significant differences in intraoperative bleeding (P=0.036), postoperative drainage (P<0.001), operative time (P=0.018), postoperative time with tubes (P=0.001), and postoperative complication rate (P=0.006). There were no significant differences when comparing the three groups in terms of survival rate (lobectomy group vs segmentectomy group, P=0.303; lobectomy group vs wedge resection group, P=0.742; and segmentectomy group vs wedge resection group, P=0.278) and recurrence-free survival rate (lobectomy group vs segmentectomy group, P=0.495; lobectomy group vs wedge resection group, P=0.362; segmentectomy group vs wedge resection group, P=0.775). Univariate and multivariate survival analyses showed that consolidation tumor ratio (CTR) was the prognostic factor of overall survival and revurrence-free survival for patients with small-volume invasive lung adenocarcinoma (P<0.05). Conclusion Wedge resection in patients with small volume invasive lung adenocarcinoma can achieve long-term outcomes similar to segmentectomy and lobectomy. When the CTR≤0.5, wedge resection is preferred in such patients

A Retrospective Study of Mean Computed Tomography Value to Predict the Tumor Invasiveness in AAH and Clinical Stage Ia Lung Cancer

Background and objective Recently, the detectable rate of ground-glass opacity (GGO ) was significantly increased, a appropriate diagnosis before clinic treatment tends to be important for patients with GGO lesions. The aim of this study is to validate the ability of the mean computed tomography (m-CT) value to predict tumor invasiveness, and compared with other measurements such as Max CT value, GGO size, solid size of GGO and C/T ratio (consolid/tumor ratio, C/T) to find out the best measurement to predict tumor invasiveness. Methods A retrospective study was conducted of 129 patients who recieved lobectomy and were pathological confirmed as atypical adenomatous pyperplasia (AAH) or clinical stage Ia lung cance in our center between January 2012 and December 2013. Of those 129 patients, the number of patients of AAH, AIS, AIS and invasive adenocarcinoma were 43, 26, 17 and 43, respectively. We defined AAH and AIS as noninvasive cancer (NC), MIA and invasive adenocarcinoma were categorized as invasive cancer(IC). We used receiver operating characteristic (ROC) curve analysis to compare the ability to predict tumor invasiveness between m-CT value, consolidation/tumor ratio, tumor size and solid size of tumor. Multiple logistic regression analyses were performed to determine the independent variables for prediction of pathologic more invasive lung cancer. Results 129 patients were enrolled in our study (59 male and 70 female), the patients were a median age of (62.0±8.6) years (range, 44 to 82 years). The two groups were similar in terms of age, sex, differentiation (P>0.05). ROC curve analysis was performed to determine the appropriate cutoff value and area under the cure (AUC). The cutoff value of solid tumor size, tumor size, C/T ratio, m-CT value and Max CT value were 9.4 mm, 15.3 mm, 47.5%, -469.0 HU and -35.0 HU, respectively. The AUC of those variate were 0.89, 0.79, 0.82, 0.90, 0.85, respectively. When compared the clinical and radiologic data between two groups, we found the IC group was strongly associated with a high m-CT value, high Max CT value, high C/T ratio and large tumor size. Gender, solid tumor size, tumor size, C/T ratio, m-CT value and MaxCT value were selected factor for multivariate analysis, when using the preoperatively determined variables to predict the tumor invasiveness, revealed that tumor size, C/T ratio, m-CT value and Max CT value were independent predictive factors of IC. Conclusion The musurements of Max CT value, GGO size, solid size of GGO and C/T ratio were significantly correlated with tumor invasiveness, and the evaluation of m-CT value is most useful musurement in predicting more invasive lung cancer

Establishment of a Predictive Model for Chronic Cough after Pulmonary Resection

Background and objective Chronic cough after pulmonary resection is one of the most common complications, which seriously affects the quality of life of patients after surgery. Therefore, the aim of this study is to explore the risk factors of chronic cough after pulmonary resection and construct a prediction model. Methods The clinical data and postoperative cough of 499 patients who underwent pneumonectomy or pulmonary resection in The First Affiliated Hospital of University of Science and Technology of China from January 2021 to June 2023 were retrospectively analyzed. The patients were randomly divided into training set (n=348) and validation set (n=151) according to the principle of 7:3 randomization. According to whether the patients in the training set had chronic cough after surgery, they were divided into cough group and non-cough group. The Mandarin Chinese version of Leicester cough questionnare (LCQ-MC) was used to assess the severity of cough and its impact on patients' quality of life before and after surgery. The visual analog scale (VAS) and the self-designed numerical rating scale (NRS) were used to evaluate the postoperative chronic cough. Univariate and multivariate Logistic regression analysis were used to analyze the independent risk factors and construct a model. Receiver operator characteristic (ROC) curve was used to evaluate the discrimination of the model, and calibration curve was used to evaluate the consistency of the model. The clinical application value of the model was evaluated by decision curve analysis (DCA). Results Multivariate Logistic analysis screened out that preoperative forced expiratory volume in the first second/forced vital capacity (FEV1/FVC), surgical procedure, upper mediastinal lymph node dissection, subcarinal lymph node dissection, and postoperative closed thoracic drainage time were independent risk factors for postoperative chronic cough. Based on the results of multivariate analysis, a Nomogram prediction model was constructed. The area under the ROC curve was 0.954 (95%CI: 0.930-0.978), and the cut-off value corresponding to the maximum Youden index was 0.171, with a sensitivity of 94.7% and a specificity of 86.6%. With a Bootstrap sample of 1000 times, the predicted risk of chronic cough after pulmonary resection by the calibration curve was highly consistent with the actual risk. DCA showed that when the preprobability of the prediction model probability was between 0.1 and 0.9, patients showed a positive net benefit. Conclusion Chronic cough after pulmonary resection seriously affects the quality of life of patients. The visual presentation form of the Nomogram is helpful to accurately predict chronic cough after pulmonary resection and provide support for clinical decision-making

Prognostic Value of Neutrophil-to-lymphocyte Ratio in Patients with Lung Adenocarcinoma Treated with Radical Dissection

Background and objective Previous studies have shown that the neutrophil-to-lymphocyte ratio (NLR) has a significant impact on the prognosis of many malignant tumors such as gastric cancer, colorectal cancer and pancreatic cancer, but the study on the prognosis of patients with resectable lung adenocarcinoma is less. The aim of this study is to investigate the correlation between the NLR and the clinicopathologic features of adenocarcinoma of lung patients who underwent radical pneumonectomy. Furthermore, this study aimed to clarify the predictive and prognostic significance of NLR in patients who underwent pneumonectomy for lung adenocarcinoma. Methods This study reviewed the medical records of 163 patients with lung adenocarcinoma who underwent pneumonectomy. The receiver operating characteristic (ROC) curve and Youden index were used to determine the cut-off value of the NLR. Survival curves were described by Kaplan-Meier method and compared by Log-rank test. The univariate and multivariate analyses were performed with the Cox proportional hazard model to identify the prognostic factors. Results When the NLR value was 2.96, the Youden index was maximal, with a sensitivity of 77.5% and a specificity of 75.9%. The 5-year survival rate in the low NLR group was higher than that in the high NLR group (P<0.05). The univariate and multivariate analyses showed that TNM staging and NLR were independent factors in predicting survival rate. Conclusion The NLR value was a simple and useful tool to predict the prognosis of lung adenocarcinoma after radical pneumonectomy

Establishment of A Clinical Prediction Model of Prolonged Air Leak after Anatomic Lung Resection

Background and objective Prolonged air leak (PAL) after anatomic lung resection is a common and challenging complication in thoracic surgery. No available clinical prediction model of PAL has been established in China. The aim of this study was to construct a model to identify patients at increased risk of PAL by using preoperative factors exclusively. Methods We retrospectively reviewed clinical data and PAL occurrence of patients after anatomic lung resection, in department of thoracic surgery, Anhui Provincial Hospital Affiliated to Anhui Medical University, from January 2016 to October 2016. 359 patients were in group A, clinical data including age, body mass index (BMI), gender, smoking history, surgical methods, pulmonary function index, pleural adhesion, pathologic diagnosis, side and site of resected lung were analyzed. By using univariate and multivariate analysis, we found the independent predictors of PAL after anatomic lung resection and subsequently established a clinical prediction model. Then, another 112 patients (group B), who underwent anatomic lung resection in different time by different team, were chosen to verify the accuracy of the prediction model. Receiver-operating characteristic (ROC) curve was constructed using the prediction model. Results Multivariate Logistic regression analysis was used to identify six clinical characteristics [BMI, gender, smoking history, forced expiratory volume in one second to forced vital capacity ratio (FEV1%), pleural adhesion, site of resection] as independent predictors of PAL after anatomic lung resection. The area under the ROC curve for our model was 0.886 (95%CI: 0.835-0.937). The best predictive P value was 0.299 with sensitivity of 78.5% and specificity of 93.2%. Conclusion Our prediction model could accurately identify occurrence risk of PAL in patients after anatomic lung resection, which might allow for more effective use of intraoperative prophylactic strategies

Effect of Preserving the Pulmonary Branch of Vagus Nerve on Postoperative Cough in Patients with Stage I Peripheral Lung Adenocarcinoma

Background and objective Cough is one of the main complications after pulmonary surgery, which seriously affects the postoperative quality of life. Preserving the pulmonary branch of vagus nerve may reduce the incidence of postoperative cough. Therefore, the aim of this study was to investigate whether preserving the pulmonary branch of the vagus nerve could reduce the incidence of postoperative chronic cough in patients with stage I peripheral lung adenocarcinoma. Methods A total of 125 patients who underwent single-port thoracoscopic radical resection for lung cancer in the Department of Thoracic Surgery, The First Affiliated Hospital of University of Science and Technology of China from June 2022 to June 2023 were retrospectively selected, and divided into two groups according to whether the vagopulmonary branch was preserved during the operation, namely, the vagopulmonary branch group (n=61) and the traditional group (n=64). The general clinical data, perioperative conditions, lymph node dissection, Mandarin Chinese version of The Leicester Cough Questionnaire (LCQ-MC) scores before and 8 weeks after operation were recorded in the two groups. Both the two groups were divided into tamponade group and non-tamponade group according to whether autologous fat or gelatin sponge was tamponade after lymph node dissection. LCQ-MC scores and postoperative chronic cough of both groups were calculated. Results The LCQ-MC score of the traditional group was significantly lower than that of the vagopulmonary branch group in physiological, psychological, social and total scores at 8 weeks after surgery, and the difference was statistically significant (P<0.05). There were more cough patients in the traditional group than the vagopulmonary branch group at 8 weeks after surgery, with significant difference (P=0.006). Subgroup analysis was conducted separately for the vagopulmonary branch group and the traditional group. Among the patients in the vagopulmonary branch group and the traditional group, the LCQ-MC scores of the non-tamponade group 8 weeks after surgery were lower than those of the tamponade group (P<0.05). There were more patients with cough in the group 8 weeks after surgery than in the tamponade group (P=0.001, P=0.024). Conclusion For patients with stage I peripheral lung adenocarcinoma, the preservation of the pulmonary branch of vagus nerve is safe and effective, which can reduce the incidence of postoperative chronic cough and improve the postoperative quality of life of the patients