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Iron-copper modified coal gangue(Fe2O3-CuO/rCG) was prepared using coal gangue(CG) as raw material through calcination, acid leaching and metal modification. The morphology and structure of Fe2O3-CuO/rCG were characterized and analyzed, and the degradation efficiency and mechanism of Fe2O3-CuO/rCG system on benzotriazole(BTA) were studied. The results showed that the specific surface area and total pore volume of Fe2O3-CuO/rCG significantly increased after modification. Fe2O3 and CuO were successfully filled inside the pores of materials. The optimal preparation conditions for Fe2O3-CuO/rCG were calcination temperature of 650 ℃, calcination time of 3 hours, and metal ion loading concentration of 0.07 mol/L. The optimal conditions for BTA degradation in Fe2O3-CuO/rCG/H2O2 system were BTA concentration of 30 mg/L, Fe2O3-CuO/rCG dosage of 2 g/L, H2O2 concentration of 7 mmol/L, temperature of 25 ℃, and rotational speed of 240 r/min. After 2 hours of reaction, the highest degradation rate of BTA in system could reach 94.86%, and the removal rates of TOC and TN could reach 87.69% and 84.27%, respectively. The Fe2O3-CuO/rCG coupled Fenton system had two main mechanisms for removing BTA:adsorption and catalytic degradation. Adsorption mainly involved gap filling, ligand adsorption, and hydrogen bonding. During the catalytic degradation process, ·OH and 1O2 were the main active species, with dominated by 1O2. Moreover, the redox cycle of Fe2+/Fe3+ and Cu+/Cu2+ accelerated the generation of active species in Fenton-like system.

Abstract Background With the demand for more effective and engaging teaching strategies in higher education, there is an imperative to blend traditional and innovative methods to optimize student learning outcomes. To address this educational need, this study sets out to design and evaluate a hybrid learning approach that integrates a flipped classroom based on working process systematization (termed “W + flipped classroom”) teaching design with blended online and offline methods based on the BOPPPS (bridge-in, objective/outcome, preassessment, participatory learning, post assessment, summary, termed “B + BOPPPS”) teaching model and explore its application effects in the field of biological separation engineering. Methods The undergraduate class of 2020 majoring in biomedical engineering from Huanghuai University was designated the control group (n = 74), while the undergraduate class of 2021 was chosen as the experimental group (n = 79). The control group received traditional teaching methods. The experimental group adopted the integrated “W + flipped classroom” and B + BOPPPS teaching models. After the conclusion of the teaching period, comparisons were made between the two groups in terms of course objective achievement, academic performance, and critical thinking skills. A survey was distributed to assess learning effectiveness. Semistructured interviews were conducted with teachers and students from the experimental group to evaluate teaching effectiveness. Results The integrated “W + flipped classroom” and B + BOPPPS teaching models significantly improved the academic performance and critical thinking skills of the experimental group. The teaching evaluation revealed high levels of acceptance among both teachers and students, along with improved satisfaction with the teaching methodology. Conclusion The integration of the “W + flipped classroom” teaching design with the “B + BOPPPS” teaching model provides a scientific foundation for future teaching reforms. This study serves as a valuable reference for implementing the OBE philosophy, enhancing learning outcomes, achieving engineering education accreditation, and cultivating high-quality applied talents in the field of bioengineering at applied universities.

Objective In order to solve the lag problem of current passive detection methods in detecting the obstacles in the area directly related to train running (hereinafter referred to as train running area or TRA), reserve more reaction time for train braking, reduce the incidence of train accidents, and mitigate the consequence of the train accidents, it is necessary to study the onboard active TRA obstacle detection technology. Method Through uniting the combination of multiple sensors and detection sub-tasks with the train signal system units, an active onboard detection system is proposed to actively detect whether there are obstacles intruding in the TRA boundary. Through testing the above system in the straight TRA with different obstacles, the effective identification distances of the obstacles are obtained. Result & Conclusion The above system can provide the train with autonomous perception ability, timely sending alarm messages or starting train braking when obstacles intruding in the boundary appear in the front TRA.

Abstract Background Fish bone ingestion is commonly encountered in emergency department. It poses a diagnostic and therapeutic challenge particularly when it migrates extraluminally, necessitating a comprehensive and multidisciplinary approach for successful management. Case presentation Here we reported four cases of extraluminal fish bone. The first patient was a 68-year-old Chinese man who had odynophagia shortly after a meal involving fish. The second was a 50-year-old Iban man who reported a sharp throat pain after consuming fish 1 day prior. The third patient was a 55-year-old Malay woman who developed throat pain and odynophagia after consuming fish 1 day earlier. The fourth patient, a 70 year-old Iban man, presented late with odynophagia, neck pain, swelling, and fever 1 week after fish bone ingestion. These unintentional fish bone ingestions faced challenges and required repeat computed tomography scans using multiplanar reconstruction in guiding the surgical removal of the fish bone. Conclusion We underscore the significance of multiplanar reconstruction in pinpointing the fish bone’s location, demonstrating the migratory route, and devising an accurate surgical plan.

Abstract Background This trial is a parallel, two-arm, non-blinded cluster randomised controlled trial that is under way in Singapore, with the aim of measuring the efficacy of male Wolbachia-infected Aedes aegypti deployments in reducing dengue incidence in an endemic setting with all four dengue serotypes in circulation. The trial commenced in July 2022 and is expected to conclude in September 2024. The original study protocol was published in December 2022. Here, we describe amendments that have been made to the study protocol since commencement of the trial. Methods The key protocol amendments are (1) addition of an explicit definition of Wolbachia exposure for residents residing in intervention sites based on the duration of Wolbachia exposure at point of testing, (2) incorporation of a high-dimensional set of anthropogenic and environmental characteristics in the analysis plan to adjust for baseline risk factors of dengue transmission, and (3) addition of alternative statistical analyses for endpoints to control for post hoc imbalance in cluster-based environmental and anthropogenic characteristics. Discussion The findings from this study will provide the first experimental evidence for the efficacy of releasing male-Wolbachia infected mosquitoes to reduce dengue incidence in a cluster-randomised controlled trial. The trial will conclude in 2024 and results will be reported shortly thereafter. Trial registration ClinicalTrials.gov, identifier: NCT05505682. Registered on 16 August 2022. Retrospectively registered. Last updated 11 November 2023.

Severe asthma (SA) poses a significant challenge to management and treatment, leading to a reduced quality of life and a heavy burden on society and healthcare resources. Bronchial thermoplasty (BT) has emerged as a non-pharmacological intervention for SA, demonstrating its efficacy and safety in improving patients’ quality of life and reducing exacerbation rates for over a decade. In particular, BT encounters various obstacles in its clinical application. Since asthma is characterized by high heterogeneity, not all patients derive effective outcomes from BT. Furthermore, current knowledge of markers that indicate response to BT remains limited. Recent research has shed light on the intricate mechanism of action of BT, which extends beyond simple smooth muscle ablation. Therefore, to enhance the clinical practice and implementation of BT, this paper aims to elucidate the mechanism of action and identify potential markers associated with BT response.

Abstract Background Flavonoids are one of the bioactive ingredients of Lonicera macranthoides (L. macranthoides), however, their biosynthesis in the flower is still unclear. In this study, combined transcriptomic and targeted metabolomic analyses were performed to clarify the flavonoids biosynthesis during flowering of L. macranthoides. Results In the three sample groups, GB_vs_WB, GB_vs_WF and GB_vs_GF, there were 25, 22 and 18 differentially expressed genes (DEGs) in flavonoids biosynthetic pathway respectively. A total of 339 flavonoids were detected and quantified at four developmental stages of flower in L. macranthoides. In the three sample groups, 113, 155 and 163 differentially accumulated flavonoids (DAFs) were detected respectively. Among the DAFs, most apigenin derivatives in flavones and most kaempferol derivatives in flavonols were up-regulated. Correlation analysis between DEGs and DAFs showed that the down-regulated expressions of the CHS, DFR, C4H, F3’H, CCoAOMT_32 and the up-regulated expressions of the two HCTs resulted in down-regulated levels of dihydroquercetin, epigallocatechin and up-regulated level of kaempferol-3-O-(6’’-O-acetyl)-glucoside, cosmosiin and apigenin-4’-O-glucoside. The down-regulated expressions of F3H and FLS decreased the contents of 7 metabolites, including naringenin chalcone, proanthocyanidin B2, B3, B4, C1, limocitrin-3,7-di-O-glucoside and limocitrin-3-O-sophoroside. Conclusion The findings are helpful for genetic improvement of varieties in L.macranthoides.

Objective·To evaluate the relationship between body mass index (BMI) and chronic metabolic diseases.Methods·The elderly (≥60 years old) who were underwent physical examination in the Physical Examination Center of Renji Hospital, Shanghai Jiao Tong University School of Medicine from 2014 to 2021 were studied. Their results of biochemical indicators were collected. Their height, body weight, and blood pressure were measured by trained nurses. The history of chronic metabolic diseases was collected by self-reported questionnaire. Systolic blood pressure ≥140 mmHg (1 mmHg=0.133 kPa), diastolic blood pressure ≥90 mmHg, or self-reported hypertension history was defined as hypertension. Fasting blood glucose ≥7.0 mmol/L or self-reported history of diabetes was defined as diabetes. Total cholesterol≥6.2 mmol/L, triglyceride≥2.3 mmol/L, or self-reported history of dyslipidemia was defined as dyslipidemia. The relationship between BMI and hypertension, diabetes, and dyslipidemia was evaluated by using receiver operator characteristic (ROC) curve analysis and binary logistic regression.Results·Data of 59 083 subjects were collected [30 807 men and 28 276 women, average age: (67.9±6.3) years old]. The prevalence of hypertension, diabetes and dyslipidemia was 76.5% (45 219/59 083), 24.1% (14 225/59 083) and 50.0% (29 544/59 083), respectively. Compared to the elderly people aged 60‒74 years, those aged 75 years and above had a higher proportion of hypertension and diabetes, and a lower proportion of dyslipidemia and no metabolic abnormalities. With ROC analysis, the BMI cut-off values for hypertension, diabetes, and dyslipidemia were 24.3, 23.9, and 23.9 kg/m2. The BMI cut-off values for hypertension and diabetes in elderly men were similar to those in elderly women (for hypertension: 24.3 kg/m2 in elderly men vs 24.2 kg/m2 in elderly women; for diabetes: 24.0 kg/m2 in elderly men vs 23.7 kg/m2 in elderly women); however, BMI cut-off value for dyslipidemia was obviously higher in elderly men than that in elderly women (24.0 kg/m2 in elderly men vs 22.5 kg/m2 in elderly women). The BMI cut-off value for chronic metabolic diseases was higher in the elderly people aged 60‒74 years than that in the elderly people aged 75 years and above (24.2‒24.7 kg/m2 vs 22.9‒23.8 kg/m2).Conclusion·Elderly people aged 60‒74 years should maintain the BMI below 24.0 kg/m2, while those aged 75 years and above should aim for the BMI below 23.0 kg/m2, so as to reduce the risk of chronic metabolic diseases.

Building emissions reduction has become a crucial pathway for China to achieve its ‘dual-carbon’ goals. As an integrated energy entity coupled with multi-energy flow networks， smart buildings face challenges such as high carbon emissions， a high degree of coupling in multi-energy flow networks， and distinct dynamic characteristics in load energy consumption behavior. In response to these challenges， a low-carbon scheduling method for multi-energy flow buildings based on deep reinforcement learning （deep RL） is proposed. Firstly， a reward and punishment ladder-type carbon emissions trading mechanism is established based on the actual carbon emissions of smart buildings. Secondly， targeting the carbon market and multi-energy flow coupling networks， a low-carbon scheduling model for multi-energy flow buildings is developed， aiming to minimize operating costs as the objective function， and the scheduling is transformed into a Markov decision process （MDP）. Subsequently， the Rainbow algorithm is employed to solve the optimal scheduling. Finally， the feasibility and effectiveness of the optimal scheduling model are verified through simulation analysis.

In the context of globalization, cross-boundary regions have become strategic areas for improving national competitiveness and promoting local development. Moreover, cross-boundary governance has gradually become a key issue in regional integration research. Recently, with the increasing trend of anti-globalization, exploring regional governance transformation is crucial for national development. This article conceptualizes a research framework that is a cross-boundary governing network based on policy network theory. It is believed that in cross-boundary governance, various state actors based on common development goals form multi-level and systematic state communities under the restructuring of state capacity while working together to promote cross-boundary regional development. Among them, economic territorialization and state capacity are the key to understanding this concept. Furthermore, under the institutional framework of "one country, two systems," an empirical study was conducted using the Shenzhen Hong Kong cross-boundary region as an example, highlighting the close relationship between the process of economic territorialization and the construction of the cross-boundary governing network. This study explored the operational methods of cross-boundary governing network, and further analyzed the impact of state-society paradigms on the operation of cross-boundary governing network under asymmetric governance. Research has proven that the cross-boundary governing network is a resilient governance mechanism for understanding the process of government-led institutional integration in cross-boundary areas. The new framework also contributes to the policy network as follows: First, the new conceptual framework is more likely to be understood as a complex, multi-type mixed network that is used to overcome the problem of the limited applicability and oversimplification of ideal policy network typologies in practice. It helps to understand the connection between the state-led decision-making process and the state-society interaction process. Second, it is configured on a logical need to contextualize the policy network to the broader and everchanging meso-level territorial scales within which state actors are defined and located within different state-society relations. Third, the factors of "resource" and "power," which are the functional core of the policy network, have yet to be fully defined with little consensus. The "new" will be centered on the configuration and realization of the state capacity of involved state actors as the bridging role of both meso-level networks. Furthermore, the "general-purpose" and "task-specific" components inherent in the multilevel governance approach are adopted to describe different systematic state communities. Meanwhile, the inter-actor idea of an "advocacy coalition" is also incorporated to understand the consensus-forming process within the intra-territorial network. Under the dynamic construction of the cross-boundary governing network, this multi-level and systematic governance approach will continuously deepen the development of Shenzhen Hong Kong cross-boundary cooperation, to make a theoretical contribution to cross-boundary synergistic development in other regions.

AbstractContext Wen-Shen-Tong-Luo-Zhi-Tong (WSTLZT) Decoction is a Chinese prescription with antiosteoporosis effects, especially in patients with abnormal lipid metabolism.Objective To explore the effect and mechanism of WSTLZT on osteoporosis (OP) through adipocyte-derived exosomes.Materials and methods Adipocyte-derived exosomes with or without WSTLZT treated were identified by transmission electron microscopy, nanoparticle tracking analysis (NTA) and western blotting (WB). Co-culture experiments for bone marrow mesenchymal stem cells (BMSCs) and exosomes were performed to examine the uptake and effect of exosome in osteogenesis and adipogenic differentiation of BMSC. MicroRNA profiles, luciferase and IP were used for exploring specific mechanisms of exosome on BMSC. In vivo, 80 Balb/c mice were randomly divided into four groups: Sham, Ovx, Exo (30 μg exosomes), Exo-WSTLZT (30 μg WSTLZT-exosomes), tail vein injection every week. After 12 weeks, the bone microstructure and marrow fat distribution were analysed by micro-CT.Results ALP, Alizarin red and Oil red staining showed that WSTLZT-induced exosomes from adipocyte can regulate osteoblastic and adipogenic differentiation of BMSC. MicroRNA profiles observed that WSTLZT treatment resulted in 87 differentially expressed miRNAs (p

Introduction: The recent global pandemic of Covid-19 caused various disruptions. Among them were face-to-face teaching and learning activities being switched to virtual sessions in accordance with health authorities recommendations. The impact of these changes on work readiness of pharmacy graduates is unknown. Aim: This study aims to determine the impact of pharmacy graduate's work readiness, particularly those that had their studies disrupted from the pandemic. Methods: Practicing pharmacists with supervisory experience were interviewed on their opinions on work readiness of early career and intern pharmacists. Specifically, they were asked to comment on work readiness of pharmacy graduates who had their later stage of pharmacy education impacted by the pandemic. Data was transcribed verbatim and thematically analysed. This was also supplemented with quantitative data from graduating students in 2020 and 2021 using the Work Readiness Scale. Results: Qualitative feedback showed four themes related to workforce readiness: work competence, social intelligence, personal characteristics, and organizational acumen. Preceptors interviewed noted differences in communication abilities when interacting with patients. However, this improved with time. Quantitative data collected from graduates via the validated Work-Readiness Scale also showed a more positive agreement towards perceived work readiness. These graduates were comfortable with using technology as they had used these extensively in their learning during the pandemic and thus was comfortable in adopting digital health tools in their practice. Conclusion: Although graduates reported to be work ready, there were gaps in communication skills and confidence levels when interacting with patients, as reported by supervising preceptors. Graduates also described this sense of ‘missing out’ from not having the opportunity to attend face-to-face activities like their originally planned hospital placements and how it impacted their choice of career. As pharmacists continue to play vital roles as members of the broader healthcare workforce, both in clinical and nonclinical settings, learnings from this study should be considered in designing educational activities to train and develop the workforce of the future.

As an integrated energy network with multi-energy flow interconnected， virtual power plants （VPPs） face difficulties such as high actual carbon emissions， insufficient new energy consumption capacity， complex optimization variables of multi-energy flow， and non-uniform optimization objectives. To this end， a multi-objective optimal scheduling method for virtual power plants considering carbon capture and multi-energy flow is proposed to improve the new energy consumption capacity of multi-energy flow virtual power plants and reduce carbon emissions. First， a reward and punishment ladder-type carbon trading mechanism is established based on the actual carbon emissions of the virtual power plant. Then， a dual-objective optimal scheduling model is built with the minimization of operating costs and carbon emissions as the objective function and solved by using the multi-objective salp swarm algorithm. Finally， multiple scheduling scenarios are set up to compare and analyze the performance of the multi-objective optimization algorithm. The results verify the feasibility and effectiveness of the optimal scheduling model.

Objective·To evaluate the long-term performance and influencing factors of auditory and speech abilities, and social-life abilities in congenital deaf children with cochlear nerve deficiency (CND) after cochlear implant (CI) surgery.Methods·Twenty-one CND children with CI implantation in Shanghai Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine were assigned to CND group, and twenty children with extremely severe sensorineural hearing loss with normal inner ear structure matching implantation age and CI use time of the CND group were selected as control group. The aided hearing threshold, Infant-toddler Meaningful Auditory Integration Scale (IT-MAIS), LittlEARS Auditory Questionnaire (LEAQ), Categories of Auditory Performance-Ⅱ (CAP-Ⅱ), Meaningful Use of Speech Scale (MUSS), Speech Intelligibility Rating (SIR), closed and open disyllabic speech recognition test, and speech intelligibility test were used to hierarchically evaluate the subjects′ auditory and verbal abilities, and the Infant-junior Middle School Student′s Social Life Ability Scale (S-M Scale) was used to assess the subjects′ social-life ability.Results·The average aided hearing threshold of each frequency point in the CND group was significantly worse than that of the control group (all P

Objective: In order to improve the special smell of Camellia oleifera seed oil, the Zanthoxylum flavor Camellia oleifera seed oil was developed with camellia oleifera seed oil and prickly ash as the raw materials. Methods: The peroxide value, acid value, fatty acid composition and odor change of Zanthoxylum bungeanum flavor seed oil were studied under different processing conditions. Results: When the ratio of material to liquid was 10∶100 (mpepper∶mcamellia oil), the frying temperature was 180 ℃, and the frying time was 5 minutes, the acid value, peroxide value and hydroxy-β-pyrroxin content were 0.400 7 mg/g, 0.030 4 g/100 g and 2.225 mg/g, respectively. The ratio of material to liquid had little influence on the content of main fatty acids of Zanthoxylum bungeanum flavor oil tea seed oil. Camellia oleifera seed oil and Zanthoxylum bungeanum flavor oil contain the key flavor compounds (E) -2-octenal and heptanal. Conclusion: The special flavor substances of Zanthoxylum bungeanum oil, linalool and limonene, can effectively change the flavor of the oil.

BackgroundThe incidence of delirium in critically ill psychiatric patients is high， and there are many factors affecting delirium occurrence. At present， epidemiological studies on delirium among critically ill patients in psychiatric hospitals are limited.ObjectiveTo explore the risk factors for delirium in critically ill patients in a psychiatric hospital， so as to guide the clinical management of delirium in psychiatric hospitals.MethodsThis retrospective study included 427 critically ill patients who were admitted to Shenzhen Kangning Hospital from January 1， 2019 to May 31， 2021. The delirium situation， gender， age， pre-admission course of illness （duration from the onset of acute mental state changes to in-patient registration at a psychiatric hospital）， history of mental illness， history of cognitive dysfunction， history of using psychoactive substances， history of using sedative and hypnotic drugs， number of combined chronic diseases， number of combined drugs and type of disease were examined as potential risk factors for delirium. Single Logistic regression was used to analyze the potential risk factors for delirium， and the potential risk factors were incorporated into the multi-factor Logistic regression analysis model so as to gradually screen out the risk factors for delirium in critically ill psychiatric patients.ResultsDelirium was present in 33.49% （143/427） of critically ill patients. Multi-factor Logistic regression analysis demonstrated that the presence of delirium was associated with mental and behavioral disorders caused by psychoactive substances （OR=8.949， P

Abstract Background Chronic rhinosinusitis (CRS) is a common disease characterized by inflammation of the paranasal sinuses, with symptoms such as nasal blockage, facial pain, hyposmia, and headache. While these symptoms are often treated as a common cold, the disease can lead to serious complications if left untreated. We present an unusual case of CRS in which the patient presented to the ophthalmology department with persistent pus discharge from the left upper eyelid for 6 months, despite being treated with multiple courses of antibiotics and undergoing incision and drainage procedures. Case presentation A 69-year-old male patient presented with a 6-month history of persistent pus discharge from the left upper eyelid, despite being treated with multiple courses of oral antibiotics and three incision and drainage procedures. He also complained of yellowish nasal discharge and bilateral nasal blockage for the past year but did not seek medical attention for these symptoms. Physical examination revealed pus discharge from the left upper eyelid and widening of the nasomaxillary groove. Nasoendoscopic examination showed bilateral grade 3 nasal polyps with mucopus secretion. CT scan of the paranasal sinuses revealed that the odd presentation was due to the chronic inflammatory process in the paranasal sinuses, which had led to osteitis and hyperostosis. This patient underwent endoscopic sinus surgery (ESS) with left frontal trephination and fat obliteration of the left frontal sinus. The postoperative histopathological report confirmed the diagnosis of benign inflammatory nasal polyp with acute on chronic inflammation. The patient was asymptomatic at 3-month follow-up post-operation. Conclusion Our case report highlights the importance of considering CRS as a possible underlying cause of such unusual presentations, even when the symptoms may appear unrelated. Early diagnosis and treatment of CRS can prevent serious complications and improve patient outcomes. The inflammatory process of CRS leading to osteitis and hyperostosis of the paranasal sinuses complicates the clinical presentation, distorts the usual anatomical structures, and may complicate the operation. CT scan of the paranasal sinus is highly recommended before any sinus surgery. At times, ESS may not be sufficient to eradicate frontal sinus disease. In these cases, an external approach is necessary with or without obliteration of the sinus cavity.

With the development and popularization of Internet technology, society has put forward higher requirements for the form and development process of software. In this study, firstly, based on the O-RGPS metamodeling framework, which provides modeling perspectives and meta-relationships among them for software engineering domain modeling, the semantics of ontology, role, and target models in the application domain are constructed. An extended semantic web is utilized to make the semantic network correspond to sentence information. Then, in conjunction with the Bayesian Confidence Network, the established semantic elements are transformed into ontologies, roles, and goals in the semantic process model. Finally, the heterogeneous semantic network based on semantic representation is constructed by using the Summary and Speak expression functions combined with the semantic knowledge of the heterogeneous users to specialize the representation of the ontology semantics. A new disambiguation mechanism for word meanings is created using the maximum entropy method, and an application case test analysis is performed on this semantic network. The experimental results show that the point degree distribution ( u =1.9317, σ =0.6083) and weighted point degree distribution ( u =2.0538, σ =0.7908) of this semantic network conforms to the lognormal distribution. The lognormal distribution pattern is still present in the case of blocking semantics. It shows that the study constructs semantic networks independent of the semantic order, which provides an important foundation for agile software engineering development and meeting the goals of user personalization and diversity.

Model-driven software development has become a hot research topic and discovery trend in the field of software engineering. Its core idea is to treat analysis and design models as equivalent to code. Better integration of models and code can greatly increase the chances of effective improvement and achieve automated software development through abstract models. In this paper, we first constructed a data model-driven architecture system based on the meta-modeling hierarchy, using a data dictionary for data storage. The mapping relation loader transforms the data extracted from the dictionary. Using the differential evolution algorithm, the model is defined as a metamodel that actually exists. At the same time, the MapReduce framework is combined to parallelize the computation of the DE algorithm based on the island model in order to solve the problem of poor optimization of the differential algorithm. Apply the model to actual software development and realize data visualization and display using Flex technology. Simulation experiments are set up to test the performance of the model and the platform. After CSI uncertainty estimation, the MSE index of the model is analyzed. This paper’s data model-driven method, with an MSE value of only 0.01084, stands out among the five methods in Case 4. Under the condition of 300 users concurrently, the user’s access response time is tested, and it can be seen that the user’s response time is within 1~2.9s, which passes the performance test.

The accurate prediction of visitor flow in tourist attractions presents a significant challenge within the tourism industry and holds substantial reference value for both park management and tourist experiences. Addressing this, our study develops a predictive model specifically tailored to tourist sites using trajectory data. Recognizing the limitations of current algorithms in identifying accurate stay regions, we utilize a segmentation method predicated on change points. This approach integrates a Back Propagation (BP) neural network with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm to enhance the precision of stay region identification. Building upon this foundation, we further incorporate Gaussian fitting techniques to construct a comprehensive crowd prediction model for tourist attractions. The research results verify that the model in this paper can estimate the passenger flow better by predicting the passenger flow of Zhongshan Park in city A. It is found that when the passenger flow is below 15000, the passenger flow is less. When the passenger flow is larger in the range of 15000~30000, and when the passenger flow is more than 30000, it will be saturated and crowded, and the model constructed in this paper has a more accurate passenger flow. The model built in this paper has a high accuracy of people flow prediction value.

This paper investigates the application of exploring spatial clustering techniques in travel recommendation systems to improve recommendation accuracy and user satisfaction. A system that can provide personalized travel information has been designed by analyzing the spatial data and behavioral patterns of travelers. With this approach, the travel experience can be optimized by considering geographic location, user preferences, and tourist attraction characteristics. User data and attraction characteristics are analyzed in this paper to obtain accurate travel recommendations. Combining the traveler’s interest matrix and the attraction area heat algorithm is used to optimize the recommendation process. This recommender system reduces the root mean square error (RMSE) and mean absolute error (MAE) by 0.487% and 21-60%, respectively, compared with the traditional algorithm in the travel recommendation error analysis, and improves the accuracy rate to 96.33%, with a significant increase in the recall rate. The spatial clustering cluster analysis demonstrates that the chosen number of clusters can effectively enhance the clustering quality and maximize the recommendation results. By effectively utilizing spatial data of users and attractions, the system can provide personalized travel recommendations and improve user experience with high accuracy and recall, demonstrating better recommendation performance than traditional methods.

The digital era has ushered in transformative changes for the tourism industry, with virtual reality (VR) technology emerging as a pivotal innovation. This study investigates VR’s role in revolutionizing tourism by offering immersive experiences that enhance the enjoyment of travel and contribute to the preservation and transmission of cultural heritage. Our research assesses VR’s effects on tourism experiences and economic performance by employing panoramic roaming and multi-projection immersive environments. Findings reveal a dramatic increase in tourism returns, with a notable 80% rise in total return on assets for CITS, from 10% in 2013 to 18% in 2023. Additionally, VR has significantly influenced tourists’ spatial-temporal behaviors, boosting their engagement and interest in heritage sites. This paper highlights VR technology’s potential to augment tourism experiences and economic gains, underscoring its importance in the sector’s digital evolution.

The purpose of exploring the application of computer-aided design technology in industrial product design is to realize the diversification of industrial product design and meet the personalized customization needs of customers. Starting from computer-aided technology, this paper illustrates the optimization of CAD design by using a genetic algorithm and constructs a bipolar progressive interactive genetic algorithm using bipolar progressive ranking and fuzzy fitness jointly. Genetic algorithm genotypes in CAD process product design are defined, and a comparative evaluation experimental analysis of industrial product design is performed with the AR-IGA algorithm. Regarding the number of iterations, the average number of iterations for the AR-IGA algorithm to complete the color-matching design of process products among ten testers was 9.34, which was 36.42% lower than that of the TIGA algorithm. The average evaluation elapsed time of the AR-IGA algorithm was 246.9s, which was 24.12% less than the average evaluation elapsed time of the TIGA algorithm. This shows that computer-aided technology optimized by genetic algorithms can effectively improve the efficiency of industrial product design and satisfy more customers to realize personalized design simultaneously.

Mitochondria plays a role in cell differentiation and apoptosis processes. Maintaining mitochondrial function is critical, and this involves various aspects of mitochondrial quality control such as protein homeostasis, biogenesis, dynamics, and mitophagy. Osteoporosis, a metabolic bone disorder, primarily arises from two factors: the dysregulation between lipogenic and osteogenic differentiation of aging bone marrow mesenchymal stem cells, and the imbalance between osteoblast-mediated bone formation and osteoclast-mediated bone resorption. Mitochondrial quality control has the potential to mitigate or even reverse the effects. Among the Sirtuin family, consisting of seven Sirtuins (SIRT1-7), SIRT1-SIRT6 play a crucial role in maintaining mitochondrial quality control. Additionally, SIRT1, SIRT3, SIRT6, and SIRT7 are directly involved in normal bone development and homeostasis by modulating bone cells. However, the precise mechanism by which these Sirtuins exert their effects remains unclear. This article reviews the impact of various aspects of mitochondrial quality control on osteoporosis, focusing on how SIRT1, SIRT3, and SIRT6 can improve osteoporosis by regulating mitochondrial protein homeostasis, biogenesis, and mitophagy. Furthermore, we provide an overview of the current state of clinical and preclinical drugs that can activate Sirtuins to improve osteoporosis. Specific Sirtuin-activating compounds are effective, but further studies are needed. The findings of this study may offer valuable insights for future research on osteoporosis and the development of clinical prevention and therapeutic target strategies.

IntroductionThe purpose of this study is to systematically evaluate the efficacy and safety of acupuncture combined with pelvic floor rehabilitation training in the treatment of postpartum stress urinary incontinence, and to promote the further promotion and application of acupuncture in the field of rehabilitation.Methods and analysisRandomized controlled trials (RCTs) of acupuncture combined with pelvic floor rehabilitation in the treatment of postpartum stress urinary incontinence will be searched in PubMed, Web of Science (WOS), Cochrane Library, EMBASE, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), Wanfang (WF), and VIP databases. The clinical trial Registry (ClinicalTrials.gov and Chinese clinical trial Registry) will also be searched. The search period is limited to July 1, 2023, and the language limit of this systematic review is Chinese and English. The primary outcome is clinical effective rate. International Consultation on Incontinence Questionnaire-Short Form (ICI-Q-SF), 1-h pad test, pelvic floor muscle potential value, incidence of adverse events are secondary outcomes. A meta-analysis will be performed using RevMan 5.4 statistical software. If feasible, subgroup analysis and sensitivity analysis will be performed to address potential causes of inconsistency and heterogeneity. The risk of bias will be assessed using the approach recommended by Cochrane Handbook for Systematic Reviews of Interventions, and the quality of evidence will be assessed using GRADE. This Protocol has been developed in accordance with the guideline of Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) 2015.DiscussionAcupuncture combined with pelvic floor rehabilitation training can effectively promote the rehabilitation of postpartum stress urinary incontinence patients, and provide a reference for the clinical application of integrated Chinese and Western medicine treatment in the field of rehabilitation.Systematic review registrationPROSPERO CRD42023455801.

Objective: Kudzu root, fern root, lily, and yam bean are characteristic plant resources in Wuling Mountain Area, the gelatinization and instant properties of these four starches was analyzed in this study. Methods: SEM, RVA, and DSC were used to investigate the gelatinization properties of the starches, and the transparency and apparent fluidity of starch pastes was used to analysis the instant properties. Results: The granule of kudzu root, fern root, and yam bean starches showed similar morphology, most of which are spherical, but lily starch exhibited spindle-shaped morphology. The RVA results showed that the peak viscosity of lily starch was the highest [(7.00±0.03) Pa·s] among these four starches. The setback value of kudzu root starch and lily starch was more than fern root starch and yam bean starch, which indicating that kudzu root starch and lily starch was easy to retrograde. The DSC results showed that the initial gelatinization temperature of fern root starch was 59.4 ℃, which was the lowest among these starches, indicating that it was easy to gelatinize. Lily starch has the highest gelatinization enthalpy, which is 15.64 J/g, indicating that more heat was required for gelatinization. After gelatinization, the kudzu root starch paste has the best transparency with a light transmittance of 29.11%, while lily starch paste has a light transmittance of only 12.25%. Kudzu root starch paste and lily starch paste was easy to form gels, but the fluidity was poor. Conclusion: Lily starch and kudzu root starch have similar instant properties and have potential for the development of instant foods, fern root starch and cold potato starch showed a lower retrogradation value, and their paste showed better fluidity, which can be used to inhibit the retrogradation of food.

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and accounts for ∼84% of all lung cancer cases. NSCLC remains one of the leading causes of cancer-associated death, with a 5-year survival rate less than 25%. This type of cancer begins with healthy cells that change and start growing out of control, leading to the formation of lesions or tumors. Understanding the dynamics of how the tumor microenvironment promotes cancer initiation and progression that leads to cancer metastasis is crucial to help identify new molecular therapies. 3D primary cell tumor models have received renewed recognition due to their ability to better mimic the complexity of in vivo tumors and as a potential bridge between traditional 2D culture and in vivo studies. Vast improvements in 3D cell culture technologies make them much more cost effective and efficient largely because of the use of a cell-repellent surfaces and a novel angle plate adaptor technology. To exploit this technology, we accessed the Natural Products Library (NPL) at UF Scripps, which consists of crude extracts, partially purified fractions, and pure natural products (NPs). NPs generally are not very well represented in most drug discovery libraries and thus provide new insights to discover leads that could potentially emerge as novel molecular therapies. Herein we describe how we combined these technologies for 3D screening in 1536 well format using a panel of ten NSCLC cells lines (5 wild type and 5 mutant) against ∼1280 selected members of the NPL. After further evaluation, the selected active hits were prioritized to be screened against all 10 NSCLC cell lines as concentration response curves to determine the efficacy and selectivity of the compounds between wild type and mutant 3D cell models. Here, we demonstrate the methods needed for automated 3D screening using microbial NPs, exemplified by crude extracts, partially purified fractions, and pure NPs, that may lead to future use targeting human cancer.

Aiming at the problem that the accuracy of text emotion classification of online comment is not high, an improved model based on BERT and bidirectional gated recurrent unit (BiGRU) is proposed. The word vector representation is carried out by using the BERT model which can represent the rich semantic features of the text. The classification effect of the model is improved by combining the BiGRU neural network which can retain the text context related information for a long time. On this basis, the attention mechanism is introduced, to highlight the weight of emotional words which can better express the classification results in the text, and improve the accuracy of emotional classification. The above model was tested on Acllmdb_v1 data set and hotel reviews data set, which are public data set. The experimental results show that the model achieves good performance in both Chinese and English text emotion classification tasks.

ObjectiveTo analyze the effects of different feeding patterns on the physical and nutritional status of children aged 6‒12 months， so as to provide reference for promoting scientific feeding and health development of infants and young children.MethodsChildren born between December 2019 and February 2020 and who had completed three follow-up visits at 6‒， 9‒ （8‒10 months） and 12‒ （11‒14 months） months old in all of the 13 communities of Minhang， Shanghai were selected. The subjects’ basic information was investigated by questionnaires. The indicators including feeding pattern， physical development （body weight， body length， head circumference） and nutritional status （the detection rate of overweight， obesity， low body weight， growth retardation， emaciation and iron deficiency anemia） were followed up in the outpatient department， with iron deficiency anemia only monitored at the 6‒ and 12‒ months old. According to different feeding patterns， the groups of 6‒ months old were divided into three groups of exclusive breast feeding （EBF）， mixed feeding （MF） and artificial feeding （AF）， while 9‒ and 12‒ months old were divided into MF and AF groups. The differences of basic information and follow-up results among the groups were analyzed.ResultsA total of 470 children were included， including 130 （27.66%）， 288 （61.28%） and 52 （11.06%） respectively in EBF， MF and AF groups at the 6‒ months old，and 319 （67.87%） and 196 （41.70%） in MF group at the 9‒ and 12‒ months old. There was no significant difference in the other follow-up results among the groups. The detection rate of iron deficiency anemia in 6‒ months old EBF （13.08%） was higher than that in MF group （5.90%） and AF group （1.92%） （χ2=8.40， P=0.010）， while it was still higher in 12‒ months old MF group （9.69%） than in AF group （2.92%） （χ2=9.68， P=0.002）.ConclusionThere is no significant difference in body weight，body length， head circumference， and the detection rates of overweight， obesity， low body weight， growth retardation and emaciation among the groups of different feeding patterns in the children aged 6‒12 months. The detection rate of iron deficiency anemia in the EBF and MF groups is significantly higher than that in the AF groups of children aged 6‒ and 12‒ months old.

ObjectiveTo investigate the status of health literacy of child rearing among caregivers of 0‒3 year-old children and analyze its determinants in Minhang District， Shanghai to provide scientific evidence for further promoting health literacy of caregivers.MethodsThe caregivers of 0‒3 year-old children were randomly selected and investigated using a questionnaire of health literacy in 13 community health care centers of Minhang District from March 2020 to April 2021.ResultsA total of 2819 valid questionnaires were collected. The total score of health literacy of child rearing for caregivers were 159.2±23.1 （full score being 200.0）. The score of physical health literacy and mental health literacy were 80.0±10.2 and 79.1±15.1， respectively （full score being 100.0）. The proportions of health literacy in the caregivers were： scarce 3.1%， insufficient 7.6%， good 47.2%， and excellent 42.1%. The multivariate ordinal Logistic regression model showed the following were independent determinants： always （OR=5.90） or often （OR=3.55） choosing information from professional approach like hospital to guide children rearing，mother （OR=4.98） or father （OR=3.95） being caregivers， easy access to children rearing information （OR=4.50）， mother education degree being master and above （OR=3.10） or junior college， undergraduate （OR=2.14）， father education degree being junior college， undergraduate （OR=1.59） or master and above （OR=1.53）， single child （OR=1.37）， household registration being Shanghai （OR=1.37）. All caregivers with the above factors showed more superior health literacy.ConclusionThe level of health literacy of child rearing among caregivers of 0‒3 year-old children in Minhang District has a good level of health literacy. Targeted health education should be strengthened for caregivers of children in the future.

Abstract Key message MADS-box genes family may play important roles in the flower sex determination in Excoecaria agallocha. A total of 73 MADS-box genes were identified in E. agallocha. De novo transcriptome assembly analysis suggested that AP1/FUL, AP3/PI, AGL104, and SOC1 plays potential roles in E. agallocha flower sex determination. Context Excoecaria agallocha is a dioecious species containing both male and female individuals producing unisexual flowers. The underlying mechanisms regulating inflorescence differentiation in these species remains poorly understood. Aims Flower development influences reproduction and breeding in E.agallocha, which contributes to ecological restoration in the intertidal zone. Methods We performed de novo transcriptome assembly analysis on male and female flowers and leaves from E. agallocha. Results We identified a total of 73 MADS-box genes in the E. agallocha genome, which we grouped into five distinct classes (MIKCc, Mα, Mβ, Mγ, MIKC*) after phylogenetic comparisons with J. curcas homologs. We analyzed expression profiles and suggested AP1/FUL, AP3/PI, AGL104, and SOC1 as candidate regulators of sex determination. In addition, several EaMADS genes were significantly upregulated in flowers compared to leaves. Conclusion Our study represents the first detailed, comprehensive evaluation of the regulation of MADS-box genes associated with sex determination in E. agallocha. The assembled transcriptomic profiles increase the genetic information available for this species and constitute an important contribution to functional studies of inflorescence genes. In turn, this will help exploring the molecular mechanisms underlying the evolution of E. agallocha.

In EV/HEV application, the maximum internal temperature allowed for film capacitor should be less than 105 ℃, which leaves especial limited temperature margin as the capacitor works in high ambient temperature of 85 ℃. However, temperature rising of capacitor is strongly related to the load condition. And it is difficult to define the temperature allowance of capacitor accurately in the early design. For this purpose, a consolidated electrothermal simulation method based Foster thermal network model is presented in this paper to predict the transient temperature inside the capacitor. To set up a complete simulation model, the parameters of five-order Foster resistor-capacitor thermal network model are extracted by the method of capacitor temperature rise experiment. The temperature rising of film capacitor in the conditions of NEDC (New European Driving Cycle) & USA highway driving cycle is calculated by the complete simulation model. Simulation results show that a good correspondence is presented between capacitor temperature rising curve vs ripple current under driving cycle, and the maximum temperature rise can be clearly assessed by this temperature prediction method.

Abstract Background Pituitary stalk interruption syndrome (PSIS) is a rare disease associated with different level of anterior pituitary hormone deficiency resulting with a variety of clinical manifestations which could limit exercise capacity. Cardiopulmonary exercise test (CPET) is valuable in differential diagnosis of exercise intolerance and exercise prescription. Case presentation An 18-year-old male adolescent was diagnosed with PSIS at 4 years old, had undergone growth hormone supplement until puberty, and was referred to rehabilitation department due to exercise intolerance. We arranged pulmonary function test (PFT) and CPET to clarify the cause of limited capacity. The test result provided evidence of moderate functional impairment (54% of predicted maximal oxygen uptake) mainly affected by physical unfitness without significant cardiovascular or pulmonary limitations. Conclusion CPET serves as a valuable tool for diagnostic purpose. Aerobic and resistance exercise training for the patient should be conducted promptly for better prognosis but under safe circumstances, with criteria which could be provided by CPET results.

Due to the strong ability of recognizing electromagnetic (EM) environment and adaptively control of EM waves, the intelligent metasurfaces have received great attention recently. However, the intelligent metasurface with frequency recognition for adaptive manipulation of the EM waves has not been studied. Here, we propose a frequency-recognition intelligent metasurface to precisely control the spatial EM waves under the agile frequencies with the help of a real-time radio-frequency sensor and an adaptive feedback control system. An active meta-atom is presented to reach 2 bit phase coding and 1 bit amplitude coding capacities to control the amplitude and phase independently. Experimental results demonstrate that the metasurface can recognize different frequency of the incoming wave with very high resolution, and can adaptively realize the self-defined multiple frequency agilities to manipulate the reflected EM waves without any human participation. As example, the intelligent metasurface with frequency recognition can adaptively operate wave absorption at 5.36 GHz, reflection to normal direction at 5.38 GHz, deflection to −30° at 5.40 GHz, random diffusion at 5.42 GHz, and deflection to +33° at 5.44 GHz by detecting the incoming frequency at the resolution of 0.02 GHz.

As Malaysia undergoes a demographic transformation of population aging, the prevalence of dementia is expected to rise, posing a major public health threat issue. Early screening to detect cognitive impairment is important to implement appropriate clinical interventions. The Visual Cognitive Assessment Test (VCAT) is a language-neutral cognitive assessment screening tool suitable for multilingual populations. This study was aimed to validate the VCAT screening tool for the detection of cognitive impairment amongst the population of Malaysia. A total of 184 participants were recruited, comprising 79 cognitively healthy participants (CHP), 46 mild cognitive impairment (MCI) patients, and 59 mild dementia (Alzheimer’s disease and Vascular Dementia) patients from five hospitals between May 2018 and December 2019 to determine the usefulness of VCAT. Diagnostic performance was assessed using area under the curve (AUC), and receiver operating characteristic (ROC) analysies was performed to determine the recommended cutoff scores. ROC analyses for the VCAT was comparable with that of MoCA (Montreal Cognitive Assessment) in differentiating between CHP, MCI, and mild dementia (AD and VaD) participants. The findings of this study suggest the following optimal cutoff score for VCAT: Dementia 0–19, MCI 20–23, Normal 24–30. The mean ± SD time to complete the VCAT was 10.0 ± 2.75 min in the CHP group and 15.4 ± 4.52 min in the CI group. Results showed that 76.0% of subjects thought that the instructions in VCAT were similar or easier to understand compared with MoCA. This study showed that the VCAT is a valid and useful screening tool for patients with cognitive impairment in Malaysia and is feasible to be used in the clinical settings.

Isoprenoidal glycerol dibiphytanyl glycerol tetraethers (iso-GDGTs) and branched glycerol dialkyl glycerol tetraethers (br-GDGTs) have been widely used as biomarkers of archaea and bacteria for the investigation of paleoenvironment. The analysis of GDGTs was generally carried out by separation using high performance liquid chromatography (HPLC), followed by mass spectrometry in the selected ion monitoring mode with soft ionization techniques such as atmospheric chemical ionization (APCI). However, previous studies have shown that approximate mass selection for GDGT analysis using selected ion monitoring generates losses of relative GDGT signals of up to 36%, which will make it difficult to determine the paleoenvironmental parameters based on the distribution of GDGTs accurately. Furthermore, the traditional method is only limited to the targeted detection of reported GDGTs which have been used in paleoenvironmental parameters, could not carry out a comprehensive analysis of the samples, leading to the loss of potential GDGT homologues. Here, an approach was described for the characterization of GDGTs by high resolution mass spectrometry, which could perform nontargeted detection of GDGTs, and identify target ions with structural information through tandem mass spectrometry. A total of 14 GDGTs, including 6 isoGDGTs with 0 to 6 alicyclic rings and 8 br-GDGTs with different alkyl side chains, were assigned by accurate mass values from the mass spectra of surface sediments from the Pearl River Estuary. The analysis of tandem mass spectrometry showed that GDGTs have multiple fragmentation pathways, GDGT0, crenarchaeol and br-GDGT Ia all have at least 7 fragmentation pathways. The fragment ions were divided into oxygen containing fragment ions and hydrocarbon fragment ions, which correspond to the characteristic fragmentation pathways of its precursor ions and the alkyl chains, respectively. Fragment ions of hydrocarbon moities were used as the fingerprint, which were combined with oxygen containing fragment ions to describe the fragmentation behavior of precursor ions. The ultra high mass resolution provided by Orbitrap MS can meet the direct analysis of GDGTs, and it is a successful tool to study the molecular composition of GDGTs from complex matrices. In addition, the key advantage of APPI-P Orbitrap MS is the ability to detect species not part of classical targeted GDGTs. Unfortunately, the method is not coupled with liquid chromatography, and the isomers of GDGT cannot be detected. This requires future efforts. The results showed great potential for the use of APPI-P Orbitrap MS as both a rapid method for determining novel GDGTs and perhaps more significantly, as a tool for the rapid detection of putative homologues that may establish novel proxies between the paleoenvironmental variables and distribution of GDGTs.

Hypertension is one of the most reported cardiovascular and cerebrovascular diseases with significantly high morbidity and mortality rates. This condition threatens the very existence of human beings. Numerous studies conducted earlier revealed the good therapeutic effect of isorhynchophylline on hypertension since the former regulates the metabolic disorders in neurotransmitters. However, the mechanism behind this action is yet to be deciphered. The current study followed the targeted metabolomics method to investigate the changes in the neurotransmitter level in the hippocampus of spontaneously hypertensive rats (SHRs) after the rats were treated with isorhynchophylline. The authors predicted the metabolic pathways involved in extensively modified neurotransmitters. Further, the expressions of metabolism-key enzymes in mRNA and protein levels were also determined. When treated with isorhynchophylline, it induced notably varying metabolomic profiles of the hippocampus in SHRs. Isorhynchophylline perturbed a total of seven extensively modified neurotransmitters as well as the primarily related pathways such as tyrosine and glutamate metabolism. An increase in the key metabolic enzymes such as DDC, MAO, COMT, TH, and DβH was observed in the SHR group, whereas their levels decreased after treatment with isorhynchophylline. The expression of GAD67 established cross-current validity. So, isorhynchophylline has been proved to have potential therapeutic value to treat hypertension via tyrosine and glutamate metabolism in the hippocampus. Further, the current study also opened new ventures to further investigate the working mechanism of isorhynchophylline in hypertension.

C36H26N4O5Co, triclinic, P212121 (no. 19), a = 10.6380(5) Å, b = 10.6639(5) Å, c = 26.5443(15) Å, V = 3011.2(3) Å3, Z = 4, R gt(F) = 0.0330, wR ref(F 2) = 0.0681, T = 200 K.

Background: Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal interstitial lung disease characterized by myofibroblast accumulation and extracellular matrix deposition, which lead to irreversible damage of the lung’s architecture and the formation of fibrotic lesions. IPF is also a sequela in serious patients with the coronavirus disease 2019 (COVID-19). The molecular mechanisms under pulmonary fibrosis remain unclear, and there is no satisfactory treatment currently available. Piceatannol (PIC) is a naturally occurring resveratrol analog found in a variety of dietary sources such as grapes, passion fruit, and white tea. It has been reported to inhibit liver fibroblast growth and exhibited various antitumor activities, although its role in pulmonary fibrosis has not been established yet. In the present study, we evaluated the anti-fibrotic role of PIC in bleomycin (BLM)-induced pulmonary fibrosis in mice.Methods: Mice with BLM-induced pulmonary fibrosis were treated with PIC, and fibrotic changes were measured by hematoxylin-eosin (H&E) staining and hydroxyproline assay. Luciferase assay, Western blot assay, histological analysis, and immunofluorescence staining were used to evaluate the effect of PIC on fibroblast activation and autophagy in mouse embryonic fibroblast cells (NIH-3T3) and human lung fibroblast cells (HFL1). The anti-fibrotic mechanisms of PIC were either confirmed in vivo.Results: Our results showed that PIC significantly alleviated the bleomycin-induced collagen deposition and myofibroblast accumulation. In vitro and in vivo studies indicated that PIC plays a role in activating autophagy in the process of anti-fibroblast activation. Further mechanism studies demonstrated that PIC can promote autophagy via inhibiting the TGF-β1-Smad3/ERK/P38 signaling pathway, which leads to a decreased number of activated myofibroblasts.Conclusion: Our study demonstrated for the first time that PIC possesses the protective effects against bleomycin-induced pulmonary fibrosis due to the direct pulmonary protective effects which enhance the effect of autophagy in vitro and in vivo and finally leads to the decreased number of activated myofibroblasts. PIC may serve as a candidate compound for pulmonary fibrosis therapy and attenuates the sequelae of SARS-COV-2 pulmonary fibrosis.

Objective To explore the application value of the standardized training model for newly recruited nurses based on demand and post competence. Methods Totally 70 nurses recruited in 2017 were selected as control group by convenient sampling method, and their training, examination and management were organized by using a traditional training mode. The same method was adopted to select 69 nurses in 2018 as observation group, and a standardized training model based on demand orientation and post competence was established. Primary indicators were professional knowledge, nursing skills, bedside comprehensive ability, score of Competency Inventory for Registered Nurse, turnover rate, ward satisfaction with newly recruited nurses. Results The scores in assessment of nurses' professional knowledge, professional skills, bedside comprehensive ability and post competence in the observation group were higher than those in the control group (P＜0. 01). The ward satisfaction with newly recruited nurses and nurse hospital training satisfaction in the observation group were higher than those in the control group (P＜0. 01). The turnover rate in the observation group was lower than that in the control group (P＜0. 01). Conclusion The standardized training model based on demand orientation and post competence can effectively improve the post competence of newly recruited nurses. (目的 探讨基于教育需求评估和核心能力的新入职护士规范化培训的应用效果。方法 采用便利抽样法选择2017届70名新入职护士作为对照组, 用传统培训模式组织培训、考核、管理。同样方法选择2018届69名新入职护士为观察组, 建立以教育需求评估和核心能力为理论框架的护士规范化培训模式, 组织培训、考核、管理、反馈等。比较2组新入职护士培训期间专业知识、护理技能、床边综合能力、护士岗位胜任力量表自评得分、新入职护士对培训满意度、病区对新入职护士满意度、离职率、等指标。结果 观察组新入职护士专业知识、专业技能、床边综合能力、岗位胜任力自评分均高于对照组, 差异有统计学意义(P＜0. 01)。观察组病区对新入职护士满意度、新入职护士对培训满意度均高于对照组, 差异有统计学意义(P＜0. 01)。观察组新入职护士离职率低于对照组, 差异有统计学意义(P＜0. 01)。结论 以教育需求评估和核心能力为理论框架的新入职护士规范化培训模式能有效提升新入职护士岗位胜任力。)

With the vigorous development of maritime traffic, the importance of maritime navigation safety is increasing day by day. Ship trajectory extraction and analysis play an important role in ensuring navigation safety. At present, the DBSCAN (density-based spatial clustering of applications with noise) algorithm is the most common method in the research of ship trajectory extraction, but it has shortcomings such as missing ship trajectories in the process of trajectory division. The improved multi-attribute DBSCAN algorithm avoids trajectory division and greatly reduces the probability of missing sub-trajectories. By introducing the position, speed and heading of the ship track point, dividing the complex water area and vectorising the ship track, the function of guaranteeing the track integrity can be achieved and the ship clustering effect can be better realised. The result shows that the cluster fitting effect reaches up to 99.83%, which proves that the multi-attribute DBSCAN algorithm and cluster analysis algorithm have higher reliability and provide better theoretical guidance for the analysis of ship abnormal behaviour.

Aiming at the problems of poor mixing effect and uneven material mixing in the practical production of the multifunction wood plate double screw mixer. In this paper,the mixing structure is optimized,and the original single-axis double-helix mixing structure is replaced by the double-axis double-shear double-helix mixing structure. With waste wood chips,magnesium oxide and other additives as raw materials,EDEM simulation software was used to simulate the motion of the stirring process and the mixing simulation of different added materials. It is concluded that the improved double-shaft mixer works better than the structure before the improvement. On the basis of this conclusion,by modifying the Angle parameter of the stirring blade and changing the rotation speed of the stirring shaft,it is concluded that the installation Angle of the stirring blade is about 45 ° and the stirring speed is about 180 r/min. Finally,the dynamic finite element analysis of the actual mixing process is carried out to ensure the feasibility of the optimized design.