Dynamic Evolution of Aluminum Coordination Environments in Mordenite Zeolite and Their Role in the Dimethyl Ether (DME) Carbonylation Reaction.

Part of tetrahedral framework aluminum in a protonic mordenite (HMOR) will convert geometry to distorted tetrahedral and octahedral coordination. High-field 27 Al NMR data show that more framework Al atoms at T3 and T4 sites change geometry to nonframework structures than others. These nonframework Al species preferentially reside in the side pockets, which will decrease the accessibility of acid sites in the 8-membered ring (MR) channel, impairing the dimethyl ether (DME) carbonylation reaction. The arisen octahedrally coordinated Al species are framework-associated, which can be reverted into the zeolite framework. Herein, we find that a facile treatment with pyridine could force the octahedral coordination Al back into a tetrahedral environment, which could increase the number of available active sites and enhance the diffusion of DME, thus improving the reactivity (4 times) of the DME carbonylation reaction and prolonging the lifetime of catalysts.

Increasing the Number of Aluminum Atoms in T3 Sites of a Mordenite Zeolite by Low-Pressure SiCl4 Treatment to Catalyze Dimethyl Ether Carbonylation.

Controlling the location of aluminum atoms in a zeolite framework is critical for understanding structure-performance relationships of catalytic reaction systems and tailoring catalyst design. Herein, we report a strategy to preferentially relocate mordenite (MOR) framework Al atoms into the desired T3 sites by low-pressure SiCl4 treatment (LPST). High-field 27 Al NMR was used to identify the exact location of framework Al for the MOR samples. The results indicate that 73 % of the framework Al atoms were at the T3 sites after LPST under optimal conditions, which leads to controllably generating and intensifying active sites in MOR zeolite for the dimethyl ether (DME) carbonylation reaction with higher methyl acetate (MA) selectivity and much longer lifetime (25 times). Further research reveals that the Al relocation mechanism involves simultaneous extraction, migration, and reinsertion of Al atoms from and into the parent MOR framework. This unique method is potentially applicable to other zeolites to control Al location.

Acoustic leak localization for water distribution network through time-delay-based deep learning approach.

Water leakage within water distribution networks (WDNs) presents significant challenges, encompassing infrastructure damage, economic losses, and public health risks. Traditional methods for leak localization based on acoustic signals encounter inherent limitations due to environmental noise and signal distortions. In response to this crucial issue, this study introduces an innovative approach that utilizes deep learning-based techniques to estimate time delay for leak localization. The research findings reveal that while the Res1D-CNN model demonstrates inferior performance compared to the GCC-SCOT and BCC under high signal-to-noise ratio (SNR) conditions, it exhibits robust capabilities and higher accuracy in low SNR scenarios. The proposed method's efficacy was empirically validated through field measurements. This advancement in acoustic leak localization holds the potential to significantly improve fault diagnosis and maintenance systems, thereby enabling efficient management of WDNs.

Advanced acoustic leak detection in water distribution networks using integrated generative model.

Water distribution networks (WDNs) experience significant water loss due to leaks, necessitating advanced water leak detection methods. However, machine learning-based acoustic method heavily relies on signal information and is limited by data scarcity and the limited diversity of available data. To address this challenge and enhance water leak detection in WDNs, this study proposes an LSTM-GAN approach. Acoustic signals are collected from WDNs to train the LSTM-GAN model, which generates synthetic leak signals to enhance the dataset. The validity of the generative method is evaluated through t-SNE and acoustic characteristics analysis. LSTM-based water leak detection models are established and compared using the original and the generated datasets to confirm the efficacy of generated samples in improving water leak detection performances. The capability of LSTM-GAN has been evaluated through different perspectives, including sensitivity analysis and model comparison. The results validate the quality and consistency of the generated acoustic signals under leak conditions. Besides, the optimal number of generated samples should be determined according to the requirements and characteristics of the leak detection task. Furthermore, the comparison between the proposed method and other acoustic generative methods demonstrates the superiority of LSTM-GAN-generated signals in enhancing the performance of leak detection models. The proposed generative method offers an innovative approach to facilitate machine learning-based leak detection models with limited data, thereby enhancing robustness.

The Role of the Intestinal Flora and Its Derivatives in Neurocognitive Disorders: A Narrative Review from Surgical Perspective.

Perioperative neurocognitive dysfunction is a significant concern for population health, impacting postoperative recovery and increasing the financial burden on patients. With an increasing number of surgical procedures being performed, the prevention and management of perioperative neurocognitive dysfunction have garnered significant attention. While factors such as age, lifestyle, genetics, and education are known to influence the development of cognitive dysfunction, recent research has highlighted the role of the gut microbiota in neurological health. An increased abundance of pro-inflammatory gut microbiota can trigger and worsen neuroinflammation, neuronal cell damage, and impaired cellular autophagy. Moreover, the inflammation-promoting gut microbiota can disrupt immune function, impair neuroautophagy, and affect the production and circulation of extracellular vesicles and neurotransmitters. These factors collectively play a role in the onset and advancement of cognitive impairment. This narrative review delves into the molecular mechanisms through which gut microbiota and their derivatives contribute to cognitive impairment, focusing on the impact of anesthesia surgery, changes in gut microbial populations, and perioperative cognitive impairment associations. The study suggests that alterations in the abundance of various bacterial species and their metabolites pre- and post-surgery may be linked to postoperative cognitive impairment. Furthermore, the potential of probiotics or prebiotics in addressing cognitive impairment is discussed, offering a promising avenue for investigating the treatment of perioperative neurocognitive disorders.

Evaluating the effects of policies on building construction waste management: a hybrid dynamic approach.

The construction industry, as a vital pillar of a country's economy, generates a significant amount of construction waste, which places a tremendous burden on the environment and society. Although previous studies have explored the impact of policies on construction waste management, there is a lack of a simulation model that can be easily used, taking into account the dynamic nature, generality, and practicability of the model. To fill this gap, a hybrid dynamics model of construction waste management system is developed using agent-based modeling, system dynamics, perceived value, and experienced weighted attraction. Based on relevant data from the construction waste industry in Shenzhen, China, the effect of five policies on contractor strategy selection and overall evolution is tested. The results indicate that industry rectification policy and combination policy can effectively promote the resource treatment of construction waste and reduce illegal dumping, pollution to the environment of waste and treatment process, and waste treatment cost. The findings of this research will help not only researchers better analyze the effect of construction waste policies but also policymakers and practitioners in proposing effective construction waste management policies.

Construction and demolition waste generation prediction and spatiotemporal analysis: a case study in Sichuan, China.

The rapidly increased generation of construction and demolition (C&D) waste hinders the sustainable development of cities. Establishing an effective C&D waste management system is of great importance for achieving sustainable development goals. The quantification and prediction of C&D waste, forming the basis of waste management, are worthy of further exploration. C&D waste generation is time series data in which future waste generation is closely correlated with past ones. This study proposes a time-series waste prediction framework to predict C&D waste generation with less data volume by coupling generation rate calculation (GRC) and autoregressive integrated moving average (ARIMA) model. It is demonstrated in Sichuan, China, as a case study. The prediction result reveals that C&D waste generation in Sichuan shows an overall increasing trend, and the waste is mainly generated in the central of Sichuan. Chengdu accounts for over 40% of the total generation in the province, followed by Luzhou, Nanchong, and Mianyang. C&D waste generation shows a significant continual rise in Yibin and Zigong. Overall, most cities in Sichuan have issued related policies and tried to strengthen control over the transportation phase. This study provides an alternative to predict and analyze C&D waste generation from spatiotemporal perspectives. It enriches the C&D waste generation data and provides quantification support for C&D waste management at the regional level.

The predictive accuracy of CT radiomics combined with machine learning in predicting the invasiveness of small nodular lung adenocarcinoma.

Background: Conventionally, the judgment of whether small pulmonary nodules are invasive is mainly made by thoracic surgeons according to the chest computed tomography (CT) features of patients. However, there are limits to how much useful information can be obtained from this approach. A large number of feature information was extracted from CT images by CT radiomics. The machine learning algorithm was used to construct models based on radiomic characteristics to predict the invasiveness of lung adenocarcinoma (LUAD) with a good prediction accuracy. Methods: A total of 416 patients with pathologically confirmed preinvasive lesions and LUAD after video-assisted thoracoscopic surgery (VATS) in the Department of Thoracic Surgery of the First People's Hospital of Yunnan Province from February 2020 to February 2022 were retrospectively analyzed. According to random classification, patients were divided into 2 groups. The RadCloud platform was used to extract radiomics features, and the most relevant radiomics features were selected by continuous dimension reduction method. Then, 6 machine learning algorithms were used to establish and verify the prediction model of small lung nodular adenocarcinoma invasiveness. Receiver operating characteristic (ROC) curve and area under curve (AUC) were used to evaluate the predictive performance. Results: There were 78 cases of pre-invasive lesions and 226 cases of invasive lesions in the training group, and 34 cases of pre-invasive lesions and 78 cases of invasive lesions in the validation group. In the training group, the AUC values of the 6 models were all more than 0.914, the 95% confidence interval (CI) was 0.857-1.00, the sensitivity was equal or more than 0.87, and the specificity was equal or more than 0.85. In the validation group, the AUC values of the 6 models were all equal or more than 0.732, the 95% CI was 0.651-1.00, the sensitivity was equal or more than 0.7, and the specificity was more than 0.77. Conclusions: Machine learning algorithms were used to construct models to predict the invasiveness of small nodular LUAD based on radiomics features, which it could provide more evidence for doctors to make diagnoses and more personalized treatment plans for patients.

Quantitatively Mapping the Distribution of Intrinsic Acid Sites in Mordenite Zeolite by High-Field 23Na Solid-State Nuclear Magnetic Resonance.

It is of great significance to accurately quantify the Brønsted acid sites (BASs) at different positions of mordenite (MOR) zeolite. However, H-MOR obtained from Na-MOR can hardly avoid dealumination under hydrothermal conditions, which causes difficulty in the acid characterization. Herein, 23Na-27Al D-HMQC was performed combined with high-field 23Na MQ MAS NMR and DFT calculation, which provided an unambiguous attribution of the 23Na chemical shifts and further helped to improve the resolution of 27Al MAS NMR. By fitting the 23Na and 1H MAS NMR spectra of Na/H-MOR, the intrinsic BAS contents in different T-sites were measured by characterizing the location and content of sodium ions. These Na/H-MOR zeolites with various acid distributions were used for DME carbonylation and showed that the amount of BASs in the T3 site was proportional to the activity of carbonylation. This study provides a new method for investigating the intrinsic acid properties of zeolites.

Comparison of two preoperative positioning techniques and unpositioning methods in non-intubated video-assisted thoracoscopic surgery.

Background: Using the non-intubated video-assisted thoracoscopic surgery (VATS) approach for small pulmonary nodules (SPNs) can accelerate patients' postoperative recovery. However, locating the SPNs intraoperatively by palpation can be difficult for thoracic surgeons. The advantages of using different preoperative positioning materials are different, especially for pulmonary-nodule-location-needle (P-N-L-N) and the microcoil. This retrospective study analyzed the advantages of two preoperative positioning techniques for VATS under non-intubation anesthesia. Methods: The data were collected for a total of 150 patients with pulmonary nodules who underwent non-intubated VATS at the First People's Hospital of Yunnan Province from January 2018 to January 2021. The patients were divided into a preoperative positioning group (including a P-N-L-N group and microcoil group) and an unlocalized group. These included patients were all compliant with surgical guidelines and were suitable for preoperative localization. Their intraoperative and postoperative indicators were compared, and among these indicators, the operative time, number of postoperative drainage days, postoperative total drainage volume, postoperative discharge time was efficacy group and the intraoperative blood loss was safety group. Results: Preoperative localization helped surgeons to explore nodules faster intraoperatively and remove SPNs precisely under non-intubated VATS. But the advantages of using different preoperative positioning materials are different. Positioning with either microcoil or P-N-L-N resulted in less operation time (P-N-L-N group: 94.90±28.42 min, microcoil group: 112.80±28.6 min, P<0.05), less intraoperative blood loss (P-N-L-N group: 35.80±21.17 mL, microcoil group: 75.00±65.22 mL, P<0.001) and less postoperative thoracic drainage volume (P-N-L-N group: 64.90±181.96 mL, microcoil group: 648.52±708.81 mL, P<0.001). However, the postoperative discharge time (P-N-L-N group: 5.02±1.35 days, microcoil group: 5.40±2.79 days, P=0.38) and postoperative drainage time(P-N-L-N group: 2.58±1.70 days, microcoil group: 3.18±2.49 days, P=0.16) was not statistically significant. Positioning with P-N-L-N seemed to have a better auxiliary effect for non-intubated VATS, suggesting its use can assist surgeons to determine the location of the lesion more accuracy intraoperatively. There was no significant difference in the pathological results among the groups. Conclusions: Localization of SPNs is beneficial in non-intubated VATS, and the use of P-N-L-N was more effective than the microcoil in reducing operative time, intraoperative blood loss, postoperative total drainage volume, and postoperative discharge time.

The impact of tubeless anesthesia versus intubated anesthesia on cerebral oxygen saturation and postoperative cognitive function in patients undergoing video-assisted thoracoscopic surgery: a randomized trial.

Background: In video-assisted thoracoscopic surgery (VATS), intubated anesthesia may affect cerebral oxygen balance and postoperative cognitive dysfunction (POCD). To avoid complications associated with intubated anesthesia, tubeless strategies have been proposed in recent years, but its effect on cerebral oxygen balance and POCD is still unclear. This prospective study compared the cerebral oxygen saturation and the incidence of POCD in patients undergoing VATS anesthetized with tubeless anesthesia vs. intubated anesthesia. Methods: A total of 60 patients with American Society of Anesthesiologists Standard (ASA) grade I-II who planned to undergo VATS at The First People's Hospital of Yunnan Province between May and October 2021 were selected and divided into non-intubated spontaneous ventilation group (SV group) or intubated mechanical ventilation group (MV group) by random number method. The primary outcome included the incidence of POCD and Mini-Mental State Examination (MMSE) on the 1st before operation and the 4th, 7th, 14th, and 30th day postoperatively, and cerebral oxygen saturation during surgery. Other outcomes of interest include respiratory and hemodynamic parameters, serum concentration of cognitive function related proteins [S100ß, interleukin (IL)-6, IL-1ß, and tumor necrosis factor α (TNF-α)], inflammatory cell counts, perioperative adverse events (arrhythmia, hypoxemia, asphyxia, etc.), postoperative pain scores, etc. Results: The incidence of hypercapnia in the SV group was significantly higher than in the MV group (P<0.001). Cerebral oxygen saturation at intraoperative was significantly higher than that in MV group (P<0.01). There was no significant difference in the incidence of POCD and the expression of cognitive function related proteins between the two groups (P>0.05). Leukocyte and neutrophil counts were significantly higher in the MV group after operation (P<0.05), whilst compared to the MV group, the SV group showed shorter postoperative recovery time, rest time before the first out of bed activity, chest tube duration, as well as less drainage volume of the chest tube and postoperative sore throat rarely occurred (P<0.05). Conclusions: Tubeless VATS can increase the incidence of hypercapnia and intraoperative cerebral oxygen saturation, but has no statistically significant difference in the incidence of POCD. In addition, tubeless anesthesia reduces systemic inflammatory, promotes the early postoperative mobilization, and accelerates the postoperative rehabilitation of patients. Trial Registration: Chinese Clinical Trial Registry ChiCTR2100042381.

Retrospectively analyze and compare the efficacy and safety of thoracoscopic-assisted Nuss repair of pectus excavatum under intubation anesthesia and non-intubation anesthesia.

Background: Thoracoscopic-assisted Nuss repair is a commonly used method for treating pectus excavatum, which has always been performed under tracheal intubation and general anesthesia. However, general anesthesia with endotracheal intubation can produce intubation and anesthetic drug related complications. In non-intubation anesthesia, laryngeal mask is used instead of tracheal intubation without muscle relaxants and small doses of sedative and analgesic drugs. Therefore, non-intubation anesthesia can reduce complications and speed up postoperative recovery. This study retrospectively analyzed the clinical impact of these two anesthesia methods on thoracoscopic-assisted Nuss repair for the treatment of pectus excavatum. Methods: A total of 115 pectus excavatum patients who underwent thoracoscopic-assisted Nuss procedure repair in the Department of Thoracic Surgery of Yunnan First People's Hospital from January 2017 to January 2022 were included. All subjects in this study underwent thoracoscopic assisted Nuss repair in the same thoracic surgical team. According to different anesthesia methods, they were divided into non-intubation anesthesia group (n=62) and intubation anesthesia group (n=53). The intubation time, intraoperative mean heart rate, postoperative complications, postoperative first oral food intake, water intake, ambulation, defecation time, postoperative blood drawing results, postoperative hospital stay and total hospitalization cost were compared between the two groups. Results: There were no significant differences in clinical characteristics and preoperative examination indexes between the two groups, which were comparable. Compared with the intubation anesthesia group, the non-intubation anesthesia group had less anesthesia intubation time, lower intraoperative mean heart rate, less postoperative complications, such as pneumothorax, pleural effusion, and lung infection. In the non-intubation anesthesia group, the first time to eat, drink, get out of bed, and defecate were all earlier. Routine blood results 24 h after surgery indicated that the non-intubation anesthesia group had lower white blood cell, neutrophil and lymphocyte, an earlier postoperative discharge time, and lower total hospitalization expenses. Conclusions: Non-intubation anesthesia in thoracoscopic-assisted Nuss procedure for the repair of pectus excavatum can make the postoperative recovery of patients faster and has better safety and efficacy.

A text mining-based thematic model for analyzing construction and demolition waste management studies.

Over the years, numerous studies have been conducted to investigate construction and demolition waste (CDW) management problems. However, the massive amount of literature brings challenges to scholars because it is difficult and time-consuming to manually identify research emphasis from the literature. Therefore, a method that can informationize literature collection and automatically detect insights from the identified literature is worthy of exploration. This paper attempts to present a comprehensive thematic model by combining Latent Dirichlet Allocation, word2vec, and community detection algorithm on python to detect insights from CDW management literature. Based on the database of Web of Science, 641 articles published between 2000 and 2019 are retrieved and used as the sample for analysis. The comprehensive thematic results reveal a four-domain knowledge map in CDW management research, which covers (1) introducing current situation of CDW management, (2) quantifying CDW generation, (3) assessing CDW and by-products, and (4) facilitating waste diversion. Future research directions in CDW management research have also been discussed. The results prove that the comprehensive thematic model is useful in mining insights from CDW management literature.

SV-VATS exhibits dual intraoperative and postoperative advantages.

BACKGROUND: The merits of spontaneous ventilation video-assisted thoracic surgery (SV-VATS) are still controversial. Our team retrospectively evaluated the intraoperative and postoperative advantages of this surgical approach, comparing with mechanical ventilation video-assisted thoracic surgery (MV-VATS). METHODS: We did a single center retrospective study at the First Affiliated Hospital of Yunnan Province. 244 patients were eventually assigned to the SV-group and MV-group, and their intraoperative indicators and thoracic surgery postoperative data were included in the comparison. RESULTS: The SV-group exhibited markedly less intraoperative bleeding and postoperative thoracic drainage, and the bleeding volume was correlated with the volume and duration of drainage. Further analysis showed that, patients undergoing SV-VATS had less activation of white blood cells and neutrophils after surgery, but they also had lower serum albumin concentrations. Risks of short-term postoperative complications, including inflammatory reactions, malignant arrhythmias, constipation, and moderate or more pleural effusions, were also significantly reduced in the SV-group. Additionally, hospitalization cost was lower in the SV-group than that in the MV-group. CONCLUSIONS: SV-VATS is suitable for various types of thoracic surgery, and effectively reduce intraoperative bleeding and postoperative thoracic drainage. With less postoperative inflammatory response, it reduces the risk of short-term postoperative complications. It is also able to help to reduce the financial burden of patients.

Effects and correlation of gross motor intervention on movement and social skills of autistic children / 中国学校卫生

Objective@#To explore the effects and correlation of gross motor intervention on social skills of autistic children. To provide new ideas for rehabilitation intervention of autistic children s social ability.@*Methods@#Recruiting 23 autistic children through WeChat in Nanchang, randomly divided into experimental groups (n=13) and control group (n=10). The experimental group underwent 6 weeks of large muscle exercise intervention, in the control group, Test of Gross Motor Development 3 (TGMD3), Social Responsiveness Scale(SRS) and the Autism Social Skills Scale (ASSS) examined changes in social skills, and analyze the relationship between sports and social ability.@*Results@#TGMD-3 score in the intervention group before intervention was (34.31±9.79) and increased significantly after intervention (59.77±13.92)(t=-15.28, P<0.01). There was no statistical significance before and after experiment in the control group (P>0.05). The scores of SRS and ASSS in the experimental group were (96.77±15.79, 97.31±29.22) before the intervention, and (82.92±15.86, 117.62±24.93) after the intervention, and the differences were statistically significant(t=4.55, -5.61, P<0.01). The difference between the SRS and ASSS scores of the control group before and after experiment was not statistically significant(P>0.05). Both the TGMD-3 score and the object manipulation score were related to the SRS total score (r=-0.49, -0.45) and ASSS total score(r=0.54, 0.51)(P<0.05).@*Conclusion@#Gross motor intervention can improve the motor and social skills of children with autism, and there is a positive correlation between motor ability and social skills in children with autism.