Efficacy and safety of perioperative therapy for locally resectable gastric cancer:A network meta-analysis of randomized clinical trials

BACKGROUND Gastric cancer(GC)is the fifth most commonly diagnosed malignancy worldwide,with over 1 million new cases per year,and the third leading cause of cancer-related death.AIM To determine the optimal perioperative treatment regimen for patients with locally resectable GC.METHODS A comprehensive literature search was conducted,focusing on phase II/III randomized controlled trials(RCTs)assessing perioperative chemotherapy and chemoradiotherapy in treating locally resectable GC.The R0 resection rate,overall survival(OS),disease-free survival(DFS),and incidence of grade 3 or higher nonsurgical severe adverse events(SAEs)associated with various perioperative regimens were analyzed.A Bayesian network meta-analysis was performed to compare treatment regimens and rank their efficacy.RESULTS Thirty RCTs involving 8346 patients were included in this study.Neoadjuvant XELOX plus neoadjuvant radiotherapy and neoadjuvant CF were found to significantly improve the R0 resection rate compared with surgery alone,and the former had the highest probability of being the most effective option in this context.Neoadjuvant plus adjuvant FLOT was associated with the highest probability of being the best regimen for improving OS.Owing to limited data,no definitive ranking could be determined for DFS.Considering nonsurgical SAEs,FLO has emerged as the safest treatment regimen.CONCLUSION This study provides valuable insights for clinicians when selecting perioperative treatment regimens for patients with locally resectable GC.Further studies are required to validate these findings.

Safety Risk Assessment Analysis of Bridge Construction Using Backpropagation Neural Network

The evaluation of construction safety risks has become a crucial task with the increasing development of bridge construction.This paper aims to provide an overview of the application of backpropagation neural networks in assessing safety risks during bridge construction.It introduces the situation,principles,methods,and advantages,as well as the current status and future development directions of backpropagation-related research.

Comparative efficacy and safety of Chinese patent medicines of iron deficiency anemia during pregnancy:A network meta-analysis

BACKGROUND Iron deficiency anemia(IDA)is a prevalent nutritional disorder during pregnancy.Clinical studies indicate that incorporating Chinese patent medicines(CPMs)with oral iron(OI)in treating IDA in pregnancy can reduce adverse effects and improve clinical outcomes.Nonetheless,the comparative efficacy of different CPMs remains unclear.AIM To assess the safety and effectiveness of different CPMs for treating IDA during pregnancy using network meta-analysis.METHODS We conducted a search for randomized controlled trials(RCTs)that combined CPM and OI for IDA treatment in pregnancy,spanning from 2013 to the present.Data analysis was performed using Rev Man 5.3 and Stata 14.0 on literature that satisfied the quality criteria.RESULTS The analysis included 45 RCTs,encompassing 4422 pregnant patients with IDA.Six CPMs were examined,including Shengxuebao Mixture,Shengxuening Tablets(SXN),Yiqi Weixue CPMs(YQWX),Jianpi Shengxue CPMs(JPSX),Yiqi Buxue Tablets,and Compound Hongyi Buxue Oral Liquid(FFHY).Findings indicated that FFHY+OI significantly improved the clinical effective rate.SXN+OI was most effective in boosting red blood cells counts and hemoglobin levels.YQWX+OI showed superior results in improving serum ferritin,and SXN+OI was most effective in increasing serum iron levels.JPSX+OI was optimal in reducing adverse pregnancy outcomes,while YQBX+OI effectively minimized adverse events.A cluster analysis suggested that SXN+OI could be the potentially optimal therapeutic regimen for IDA in pregnancy.CONCLUSION This study demonstrates that the combination of OI with CPMs offers better outcomes than OI alone.Based on clinical efficacy and other measured outcomes,SXN+OI emerges as the most effective treatment modality for improving the health of pregnant patients with IDA.

基于DNV SAFETI Route模型的危险货物道路运输风险模拟

DNV SAFETI Route运输路线模型是专业的运输活动风险评估模型,根据所有可能发生事故的地点分布潜在事故的总频率,计算出沿线的总体风险水平。选择事故场景为大孔泄漏,对发生泄漏情景引发的火灾、爆炸和毒性物质扩散事故后果进行预测。根据后果预测结果,进而可以得到周边防护目标所承受的个人风险和社会风险曲线。

Effectiveness and safety of seven oral Chinese patent medicines as adjuvant therapy for cancer-related anemia: A systematic review and network meta-analysis of randomized controlled trials

Objective:To evaluate the effectiveness and safety of seven oral Chinese patent medicines(CPMs)as adjuvant therapy for cancer-related anemia(CRA)by network meta-analysis(NMA).Methods:A literature search to obtain randomized controlled trials(RCTs)of seven oral CPMs in the adjuvant treatment of CRA was conducted in multiple databases from the inception to April 2022.The RevMan5.3 and R 4.1.1 software were used for NMA.Results:We ultimately included 29 RCTs with 2140 patients.Traditional meta-analysis showed that Fufang E'jiao syrup(FFEJS),Shengxuebao mixture(SXBM),Shengxuening tablets(SXNT),Jianpi Shengxue granules(JPSXG),and Yixuesheng capsule(YXSC)combined with basic Western treatment(BWT)could improve the hemoglobin(HGB)level.JPSXG combined with BWT could improve the red blood cell(RBC).FFEJS combined with BWT improved the Karnofsky performance status(KPS).NMA showed that FFEJS,JPSXG,SXBM,and SXNT plus BWT improved HGB better than Shengxue tablets(SXT)plus BWT,with top three ranking results being JPSXG plus BWT>SXNT plus BWT>FFEJS plus BWT.FFEJS plus BWT,JPSXG plus BWT,SXBM plus BWT,SXNT plus BWT,and SXT plus BWT improved RBC better than BWT,with top three ranking results being SXNT plus BWT>JPSXG plus BWT>FFEJS plus BWT.In terms of the KPS score,compared with SXT plus BWT,FFEJS,JPSXG,SXBM,SXNT,and Yizhong Shengxue capsule(YZSXC)plus BWT had higher KPS,with top three ranking results being SXBM plus BWT>JPSXG plus BWT>FFEJS plus BWT.Conclusions:Our NMA demonstrated that seven oral CPMs used as adjuvant treatment of CRA had a definite clinical effect.JPSXG not only increases the levels of HGB and RBC to enhance the clinical effect but also improves patients'quality of life.More accurate conclusions need to be verified by more high-quality RCTs.

Pluggable multitask diffractive neural networks based on cascaded metasurfaces

Optical neural networks have significant advantages in terms of power consumption,parallelism,and high computing speed,which has intrigued extensive attention in both academic and engineering communities.It has been considered as one of the powerful tools in promoting the fields of imaging processing and object recognition.However,the existing optical system architecture cannot be reconstructed to the realization of multi-functional artificial intelligence systems simultaneously.To push the development of this issue,we propose the pluggable diffractive neural networks(P-DNN),a general paradigm resorting to the cascaded metasurfaces,which can be applied to recognize various tasks by switching internal plug-ins.As the proof-of-principle,the recognition functions of six types of handwritten digits and six types of fashions are numerical simulated and experimental demonstrated at near-infrared regimes.Encouragingly,the proposed paradigm not only improves the flexibility of the optical neural networks but paves the new route for achieving high-speed,low-power and versatile artificial intelligence systems.

Insights into microbiota community dynamics and flavor development mechanism during golden pomfret(Trachinotus ovatus)fermentation based on single-molecule real-time sequencing and molecular networking analysis

Popular fermented golden pomfret(Trachinotus ovatus)is prepared via spontaneous fermentation;however,the mechanisms underlying the regulation of its flavor development remain unclear.This study shows the roles of the complex microbiota and the dynamic changes in microbial community and flavor compounds during fish fermentation.Single-molecule real-time sequencing and molecular networking analysis revealed the correlations among different microbial genera and the relationships between microbial taxa and volatile compounds.Mechanisms underlying flavor development were also elucidated via KEGG based functional annotations.Clostridium,Shewanella,and Staphylococcus were the dominant microbial genera.Forty-nine volatile compounds were detected in the fermented fish samples,with thirteen identified as characteristic volatile compounds(ROAV>1).Volatile profiles resulted from the interactions among the microorganisms and derived enzymes,with the main metabolic pathways being amino acid biosynthesis/metabolism,carbon metabolism,and glycolysis/gluconeogenesis.This study demonstrated the approaches for distinguishing key microbiota associated with volatile compounds and monitoring the industrial production of high-quality fermented fish products.

A holistic approach to improving safety for battery energy storage systems

The integration of battery energy storage systems(BESS)throughout our energy chain poses concerns regarding safety,especially since batteries have high energy density and numerous BESS failure events have occurred.Wider spread adoption will only increase the prevalence of these failure events unless there is a step change in the management and design of BESS.To understand the causes of failure,the main challenges of BESS safety are summarised.BESS consequences and failure events are discussed,including specific focus on the chain of events causing thermal runaway,and a case study of a BESS explosion in Surprise Arizona is analysed.Based on the technology and past events,a paradigm shift is required to improve BESS safety.In this review,a holistic approach is proposed.This combines currently adopted approaches including battery cell testing,lumped cell mathematical modelling,and calorimetry,alongside additional measures taken to ensure BESS safety including the requirement for computational fluid dynamics and kinetic modelling,assessment of installation level testing of the full BESS system and not simply a single cell battery test,hazard and layers of protection analysis,gas chromatography,and composition testing.The holistic approach proposed in this study aims to address challenges of BESS safety and form the basis of a paradigm shift in the safety management and design of these systems.

Effectiveness and safety of traditional Chinese medicine decoction for diabetic gastroparesis:A network meta-analysis

BACKGROUND Diabetic gastroparesis(DGP)is a prevalent complication of diabetes that impairs people's quality of life and places a significant financial burden on them.The gastrointestinal symptoms of DGP patients can be improved by several Traditional Chinese Medicine(TCM)decoctions that have been shown to be effective in treating the disease.There are still many unanswered questions regarding the identification of appropriate therapeutic agents for the treatment of DGP in clinical practice.AIM To analyze the efficacy of several TCM decoctions in the treatment of DGP using Bayesian network meta-analysis for reference.METHODS PubMed,EMBASE,Cochrane Library,Web of Science,China National Knowledge Infrastructure,The China Biology Medicine DVD,Wanfang,and CQVIP were searched from inception to September 17,2022,to collect randomized controlled trials(RCTs)about TCM decoctions for DGP.Clinical effects and symptom scores were the primary outcomes.Additionally,we assessed motilin(MOT),somatostatin(SS),gastrin(GAS),gastric emptying rate,gastric emptying time,and adverse drug events as secondary outcomes.RESULTS A total of 67 eligible RCTs involving 4790 DGP patients and 7 TCM decoctions were included.The results of network meta-analysis(NMA)and surface under the cumulative ranking curve showed that with western medicine(WM)as a common control,the Banxia Xiexin Decoction(BXXD)+WM was most effective in clinical effects and enhancing early satiety scores;the Simo decoction(SMD)+WM was most effective in improving nausea and vomiting scores and anorexia scores,bloating scores;the Chaishao Liujunzi Decoction(CSLJD)was most effective in MOT,the Zhishi Xiaopi Decoction(ZSXPD)was most effective in SS and upgrading emptying rate;the Jianpi Xiaozhi Decoction was most effective in GAS;the CSLJD+WM was most effective in improving gastric emptying time.CONCLUSION These NMA results suggest that the BXXD+WM and SMD+WM may be one of the potential optimal treatments.Due to various limitations,further large-sample,double-blind,multi-center randomized RCTs are needed.

Effectiveness and safety of traditional Chinese medicine for diabetic retinopathy:A systematic review and network meta-analysis of randomized clinical trials

BACKGROUND Diabetic retinopathy(DR)is currently recognized as one of the most serious diabetic microangiopathies and a major cause of adult blindness.Commonly used clinical approaches include etiological control,microvascular improvement,and surgical intervention,but they are ineffective and have many side effects.Oral Chinese medicine(OCM)has been used for thousands of years to treat DR and is still widely used today,but it is unclear which OCM is more effective for DR.AIM To estimate relative effectiveness and safety profiles for different classes of OCMs for DR,and provide rankings of the available OCMs.METHODS The search time frame was from the creation of the database to January 2023.RevMan 5.3 and Stata 14.0 software were used to perform the systematic review and Network meta-analyses(NMA).RESULTS A total of 107 studies and 9710 patients were included,including 4767 cases in the test group and 4973 cases in the control group.Based on previous studies and clinical reports,and combined with the recommendations of Chinese guidelines for the prevention and treatment of DR,9 OCMs were finally included in this study,namely Compound Xueshuantong Capsules,Qiming Granules,Compound Danshen Dripping Pills,Hexue Mingmu Tablets(HXMM),Qiju Dihuang Pills(QJDH),Shuangdan Mingmu Capsules(SDMM),Danggui Buxue Decoction(DGBX),Xuefu Zhuyu Decoction and Buyang Huanwu Decoction.When these nine OCMs were analyzed in combination with conventional western medicine treatment(CT)compared with CT alone,the NMA results showed that HXMM+CT has better intervention effect on the overall efficacy of DR patients,HXMM+CT has better effect on improving patients'visual acuity,SDMM+CT has better effect on inhibiting vascular endothelial growth factor,DGBX+CT has better effect on reducing fundus hemorrhage area,HXMM+CT has better effect on reducing fasting blood glucose,and QJDH+CT has better effect on reducing glycated hemoglobin.When there are not enough clinical indicators for reference,SDMM+CT or HXMM+CT treatments can be chosen because they are effective for more indicators and demonstrate multidimensional efficacy.CONCLUSION This study provides evidence that combining OCMs with CT leads to better outcomes in all aspects of DR compared to using CT alone.Based on the findings,we highly recommend the use of SDMM or HXMM for the treatment of DR.These two OCMs have demonstrated outstanding efficacy across multiple indicators.

Efficacy and safety of different anti-osteoporotic drugs for the spinal fusion surgery: A network meta-analysis

BACKGROUND Administering anti-osteoporotic agents to patients perioperatively is a widely accepted approach for improving bone fusion rates and reducing the risk of complications.The best anti-osteoporotic agents for spinal fusion surgery remain unclear.AIM To investigate the efficacy and safety of different anti-osteoporotic agents in spinal fusion surgery via network meta-analysis.METHODS Searches were conducted in four electronic databases(PubMed,EMBASE),Web of Science,the Cochrane Library and China National Knowledge Infrastructure(CNKI)from inception to November 2022.Any studies that compared antiosteoporotic agents vs placebo for spinal fusion surgery were included in this network meta-analysis.Outcomes included fusion rate,Oswestry disability index(ODI),and adverse events.Network meta-analysis was performed by R software with the gemtc package.RESULTS In total,13 randomized controlled trials were included in this network metaanalysis.Only teriparatide(OR 3.2,95%CI:1.4 to 7.8)was more effective than placebo in increasing the fusion rate.The surface under the cumulative ranking curve(SUCRA)of teriparatide combined with denosumab was the highest(SUCRA,90.9%),followed by teriparatide(SUCRA,74.0%),zoledronic acid(SUCRA,43.7%),alendronate(SUCRA,41.1%)and risedronate(SUCRA,35.0%).Teriparatide(MD-15,95%CI:-28 to-2.7)and teriparatide combined with denosumab(MD-20,95%CI:-40 to-0.43)were more effective than placebo in decreasing the ODI.The SUCRA of teriparatide combined with denosumab was highest(SUCRA,90.8%),followed by teriparatide(SUCRA,74.5%),alendronate(SURCA,52.7),risedronate(SURCA,52.1%),zoledronic acid(SURCA,24.2%)and placebo(SURCA,5.6%)for ODI.The adverse events were not different between groups.CONCLUSION This network meta-analysis suggests that teriparatide combined with denosumab and teriparatide alone significantly increase the fusion rate and decrease the ODI without increasing adverse events.Based on current evidence,teriparatide combined with denosumab or teriparatide alone is recommended to increase the fusion rate and to reduce ODI in spinal fusion patients.

Influencer identification of dynamical networks based on an information entropy dimension reduction method

Identifying critical nodes or sets in large-scale networks is a fundamental scientific problem and one of the key research directions in the fields of data mining and network science when implementing network attacks, defense, repair and control.Traditional methods usually begin from the centrality, node location or the impact on the largest connected component after node destruction, mainly based on the network structure.However, these algorithms do not consider network state changes.We applied a model that combines a random connectivity matrix and minimal low-dimensional structures to represent network connectivity.By using mean field theory and information entropy to calculate node activity,we calculated the overlap between the random parts and fixed low-dimensional parts to quantify the influence of node impact on network state changes and ranked them by importance.We applied this algorithm and the proposed importance algorithm to the overall analysis and stratified analysis of the C.elegans neural network.We observed a change in the critical entropy of the network state and by utilizing the proposed method we can calculate the nodes that indirectly affect muscle cells through neural layers.

A multilayer network diffusion-based model for reviewer recommendation

With the rapid growth of manuscript submissions,finding eligible reviewers for every submission has become a heavy task.Recommender systems are powerful tools developed in computer science and information science to deal with this problem.However,most existing approaches resort to text mining techniques to match manuscripts with potential reviewers,which require high-quality textual information to perform well.In this paper,we propose a reviewer recommendation algorithm based on a network diffusion process on a scholar-paper multilayer network,with no requirement for textual information.The network incorporates the relationship of scholar-paper pairs,the collaboration among scholars,and the bibliographic coupling among papers.Experimental results show that our proposed algorithm outperforms other state-of-the-art recommendation methods that use graph random walk and matrix factorization and methods that use machine learning and natural language processing,with improvements of over 7.62%in recall,5.66%in hit rate,and 47.53%in ranking score.Our work sheds light on the effectiveness of multilayer network diffusion-based methods in the reviewer recommendation problem,which will help to facilitate the peer-review process and promote information retrieval research in other practical scenes.

Source localization in signed networks with effective distance

While progress has been made in information source localization,it has overlooked the prevalent friend and adversarial relationships in social networks.This paper addresses this gap by focusing on source localization in signed network models.Leveraging the topological characteristics of signed networks and transforming the propagation probability into effective distance,we propose an optimization method for observer selection.Additionally,by using the reverse propagation algorithm we present a method for information source localization in signed networks.Extensive experimental results demonstrate that a higher proportion of positive edges within signed networks contributes to more favorable source localization,and the higher the ratio of propagation rates between positive and negative edges,the more accurate the source localization becomes.Interestingly,this aligns with our observation that,in reality,the number of friends tends to be greater than the number of adversaries,and the likelihood of information propagation among friends is often higher than among adversaries.In addition,the source located at the periphery of the network is not easy to identify.Furthermore,our proposed observer selection method based on effective distance achieves higher operational efficiency and exhibits higher accuracy in information source localization,compared with three strategies for observer selection based on the classical full-order neighbor coverage.

Impact of different interaction behavior on epidemic spreading in time-dependent social networks

We investigate the impact of pairwise and group interactions on the spread of epidemics through an activity-driven model based on time-dependent networks.The effects of pairwise/group interaction proportion and pairwise/group interaction intensity are explored by extensive simulation and theoretical analysis.It is demonstrated that altering the group interaction proportion can either hinder or enhance the spread of epidemics,depending on the relative social intensity of group and pairwise interactions.As the group interaction proportion decreases,the impact of reducing group social intensity diminishes.The ratio of group and pairwise social intensity can affect the effect of group interaction proportion on the scale of infection.A weak heterogeneous activity distribution can raise the epidemic threshold,and reduce the scale of infection.These results benefit the design of epidemic control strategy.

Reliability Assessment of a New General Matching Composed Network

The reliability of a network is an important indicator for maintaining communication and ensuring its stable operation. Therefore, the assessment of reliability in underlying interconnection networks has become an increasingly important research issue. However, at present, the reliability assessment of many interconnected networks is not yet accurate,which inevitably weakens their fault tolerance and diagnostic capabilities. To improve network reliability,researchers have proposed various methods and strategies for precise assessment. This paper introduces a novel family of interconnection networks called general matching composed networks(gMCNs), which is based on the common characteristics of network topology structure. After analyzing the topological properties of gMCNs, we establish a relationship between super connectivity and conditional diagnosability of gMCNs. Furthermore, we assess the reliability of g MCNs, and determine the conditional diagnosability of many interconnection networks.

Ganoderma lucidum:a comprehensive review of phytochemistry,efficacy,safety and clinical study

Ganoderma lucidum,one of the most well-known edible fungi,is believed to be very beneficial for longevity and vitality.A long usage history suggests that G.lucidum has various clinical therapeutic effects.And experimental studies have confirmed that G.lucidum has multiple pharmacological effects,including antitumor,anti-microbial,anti-HIV protease,and antidiabetic activity and so on.With the deepening of research,more than 300 compounds have been isolated from G.lucidum.There is an increasing population of G.lucidum-based products,and its international development is expanding.Currently,G.lucidum has drawn much attention to its chemical composition,therapeutic effect,clinical value,and safety.This paper provides a comprehensive review of these aspects to enhance the global promotion of G.lucidum.

Innovation and Firm Co-ownership Network in China’s Electric Vehicle Industry

Firms are embedded in complex networks,where diverse ideas combine and generate new ideas.Shareholders of firms are of-ten seen as critical external resources that have significant influence on firm innovation.The current literature tends to focus on the rela-tionship between firms and their shareholders,while paying less attention to the connections between firms with the same shareholders.This article identifies two types of network spillover effects,intra-city network effect and inter-city network effect,by visualizing the co-ownership networks in China’s electric vehicle(EV)industry.We find that firms with the same shareholders,which are defined as co-owned EV firms,are more innovative than non-co-owned ones.Furthermore,there are two dominant types of firm co-ownership ties formed by corporate and financial institution shareholders.While corporate shareholders help exploiting local tacit knowledge,financial institutions are more active in bridging inter-city connections.The conclusion is confirmed at both firm and city levels.This paper theor-izes the firm co-ownership network as a new form of institutional proximity and tested the result empirically.For policy consideration,we have emphasized the importance of building formal or informal inter-firm network,and the government should further enhance the knowledge flow channel by institutional construction.

Migration Networks Pattern of China’s Floating Population from the Perspective of Complex Network

Since China’s reform and opening-up,the growing disparity between urban and rural areas and regions has led to massive migration.With China’s Rural Revitalization Strategy and the industrial transfer from the eastern coastal areas to the inland,the migration direction and pattern of the floating population have undergone certain changes.Using the 2017 China Migrants Dynamic Survey(CMDS),excluding Hong Kong,Macao,and Taiwan regions of China,organized by China’s National Health Commission,the relationship matrix of the floating population is constructed according to the inflow place of the interviewees and their outflow place(the location of the registered residence)in the questionnaire survey.We then apply the complex network model to analyze the migration direction and network pattern of China’s floating population from the city scale.The migration network shows an obvious hierarchical agglomeration.The first-,second-,third-and fourth-tier distribution cities are municipalities directly under the central government,provincial capital cities,major cities in the central and western regions and ordinary cities in all provinces,respectively.The migration trend is from the central and western regions to the eastern coastal areas.The migration network has‘small world’characteristics,forming nine communities.It shows that most node cities in the same community are closely linked and geographically close,indicating that the migration network of floating population is still affected by geographical proximity.Narrowing the urban-rural and regional differences will promote the rational distribution this population.It is necessary to strengthen the reform of the registered residence system,so that the floating population can enjoy urban public services comparable to other populations,and allow migrants to live and work in peace.

基于DNV Safeti软件在天然气管道高后果区的应用

天然气长输管道是输气管道工程的基础工程设施,输气介质天然气属于易燃易爆物质,管道具有高压力属性主要风险为天然气的泄漏点火产生喷射火、闪火和蒸汽云爆炸。文章采用DNV Safeti软件对某输气管道高后果区进行了定量分析,计算出喷射火、闪火和蒸汽云爆炸的影响距离,以及计算出个人风险等值线和社会风险曲线,为建设项目设计、运行提供参考。可以为管道企业明确管道高后果区可能的影响范围和可能造成的后果,还可以企业在管道防腐管理、地灾管理、管道维修维护与保卫保护等方面采取针对性的的管理措施和技术措施,从而进行有效风险控制,减小管道沿线的环境影响和公众损失。