Recent advances and perspectives of zinc metal-free anodes for zinc ion batteries

Zinc-ion batteries(ZIBs) are recognized as potential energy storage devices due to their advantages of low cost, high energy density, and environmental friendliness. However, zinc anodes are subject to unavoidable zinc dendrites, passivation, corrosion, and hydrogen evolution reactions during the charging and discharging of batteries, becoming obstacles to the practical application of ZIBs. Appropriate zinc metal-free anodes provide a higher working potential than metallic zinc anodes, effectively solving the problems of zinc dendrites, hydrogen evolution, and side reactions during the operation of metallic zinc anodes. The improvement in the safety and cycle life of batteries creates conditions for further commercialization of ZIBs. Therefore, this work systematically introduces the research progress of zinc metal-free anodes in “rocking chair” ZIBs. Zinc metal-free anodes are mainly discussed in four categories: transition metal oxides,transition metal sulfides, MXene(two dimensional transition metal carbide) composites, and organic compounds, with discussions on their properties and zinc storage mechanisms. Finally, the outlook for the development of zinc metal-free anodes is proposed. This paper is expected to provide a reference for the further promotion of commercial rechargeable ZIBs.

Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial applications.As the field of embedded memory continues to evolve,innovative strategies are emerging to enhance performance.Among them,resistive random access memory(RRAM)has gained significant attention due to its numerousadvantages over traditional memory devices,including high speed(<1 ns),high density(4 F^(2)·n^(-1)),high scalability(~nm),and low power consumption(~pJ).This review focuses on the recent progress of embedded RRAM in industrial manufacturing and its potentialapplications.It provides a brief introduction to the concepts and advantages of RRAM,discusses the key factors that impact its industrial manufacturing,and presents the commercial progress driven by cutting-edge nanotechnology,which has been pursued by manysemiconductor giants.Additionally,it highlights the adoption of embedded RRAM in emerging applications within the realm of the Internet of Things and future intelligent computing,with a particular emphasis on its role in neuromorphic computing.Finally,the review discusses thecurrent challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

Clinical diagnostic advances in intestinal anastomotic techniques:Hand suturing,stapling,and compression devices

The development of intestinal anastomosis techniques,including hand suturing,stapling,and compression anastomoses,has been a significant advancement in surgical practice.These methods aim to prevent leakage and minimize tissue fibrosis,which can lead to stricture formation.The healing process involves various phases:hemostasis and inflammation,proliferation,and remodeling.Mechanical staplers and sutures can cause inflammation and fibrosis due to the release of profibrotic chemokines.Compression anastomosis devices,including those made of nickel-titanium alloy,offer a minimally invasive option for various surgical challenges and have shown safety and efficacy.However,despite advancements,anastomotic techniques are evaluated based on leakage risk,with complications being a primary concern.Newer devices like Magnamosis use magnetic rings for compression anastomosis,demonstrating greater strength and patency compared to stapling.Magnetic technology is also being explored for other medical treatments.While there are promising results,particularly in animal models,the realworld application in humans is limited,and further research is needed to assess their safety and practicality.

Advances in Research of Anti-tumor Effect of Aconiti Radix

In this paper,the anti-tumor effects of Aconiti Radix were reviewed and summarized,and the clinical feasibility of Aconiti Radix as a potential anti-tumor drug was analyzed,in order to provide a useful reference for the future research and development of new anti-cancer drugs of Aconiti Radix.

Stroke:challenges and opportunities--Perspectives on clinical research advances and future outlook in 2024

Dear readers,In the field of stroke research and treatment,cutting-edge technologies and studies continue to emerge,providing new perspectives and strategies for exploring the mechanisms and treatment methods of stroke.According to the latest advancements,neuroimaging techniques play a crucial role in stroke research.MRI technology,for instance,is essential for evaluating stroke patients.

地震学英文科技期刊国际影响力提升实践--以Earthquake Research Advances期刊为例

提升我国地震学英文科技期刊的国际影响力,对于增强我国地震学在国际学术领域的话语权具有重要意义,同时也能吸引更多国外优秀科研论文在我国期刊上发表。本文以中国地震局主管、中国地震台网中心主办的《地震研究进展(英文)》(Earthquake Research Advances)为例,详细探讨了提升英文科技期刊国际影响力的方法,旨在为推动我国地震学英文期刊的高质量发展提供参考。

Advances in translational therapy for locally advanced gastric cancer

Translational therapy refers to a combination of chemotherapy,radiotherapy,targeted therapy,and immunotherapy for patients with advanced gastric cancer who are initially unable to undergo R0 resection.This treatment can achieve partial or complete remission of the unresectable tumors to meet the criteria for R0 resection,thus enabling the patients to prolong their survival time and improve their quality of life.In gastric cancer,translational therapy has been tried and improved.At present,there are a large number of patients with locally advanced gastric cancer in China,and the selection of suitable patients for transla-tional therapy to prolong objective survival and improve survival quality is one of the hot spots in the field of gastric cancer research.

基于PLCSIM Advanced和Simulink的自动化生产线仿真实训平台设计

为解决自动化生产线实训线下课程实验硬件套数不足、实验时长和场地受限等问题,提升教学质量,设计了一种基于PLCSIM Advanced和Simulink的自动化生产线仿真实训平台。该仿真平台以实训设备为依托,使用Simulink搭建被控对象仿真模型,在PLCSIM Advanced仿真控制器中编写控制算法,通过应用程序接口(application programming interface,API)通信实现对象模型与控制器间数据的实时交换和仿真。以纸张张力控制设备为例,介绍了仿真实训平台搭建和实施过程。实践教学表明,该仿真平台提高了自动化生产线实训课程的教学成效,激发了学生实践学习的兴趣,提升了学生发现、解决复杂工程问题的能力,让学生深刻体会到团队合作和有效沟通的重要性。

Robotic surgery in urology:Recent advances

The adoption of robotic-assisted surgery has determined a paradigm shift in delivery of urological surgery in the last two decades.It has been a privilege for us to serve as guest editors for this special issue of the Asian Journal of Urology(AJU)on the most recent advances in this field.

Preface to special issue on advances in research of railway train brakes

Brakes in railway trains have a variety of forms such as air brake,eddy current brake and aerodynamic brake.Their primary functions areto slow down and stoptrains,so asto ensure safe and efficient train movement.Brakes are indispensable and safety-critical systems for all types of railway trains including passenger(high-speed,metro,tram,etc.)and freight(heavy-haul,intermodal,etc.)trains.Safe and efficient railway operations require a good understanding of brakes from various parties including drivers,maintenance crews,manufacturers,and design engineers.Research helps to expand and deepen the knowledge about railway train brakes.Brake modelling and simulation date back to the pre-digital age.However,it remains a challenging topic to today due to many reasons including their nonlinear dynamic nature,complex devices,and the limits regarding parameter determination.

Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. First, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, respectively.Then, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation significantly.Finally, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

Present situation and prospect of immunotherapy for unresectable locally advanced esophageal cancer during peri-radiotherapy

Four major studies(Checkmate577,Keynote-590,Checkmate649 and Attraction-4)of locally advanced esophageal cancer published in 2020 have established the importance of immunotherapy,represented by anti-programmed death protein(PD)-1 in postoperative adjuvant treatment and advanced first-line treatment of locally advanced or advanced esophageal cancer and esophagogastric junction cancer,from the aspects of proof of concept,long-term survival,overall survival rate and progression-free survival.For unresectable or inoperable nonmetastatic esophageal cancer,concurrent radiotherapy and chemotherapy is the standard treatment recommended by various guidelines.Because its curative effect is still not ideal,it is necessary to explore radical radiotherapy and chemotherapy in the future,and it is considered to be promising to combine them with immunotherapeutic drugs such as anti-PD-1.This paper mainly discusses how to combine radical concurrent radiotherapy and chemotherapy with immunotherapy for unresectable local advanced esophageal cancer.

A Comprehensive Survey on Advanced Persistent Threat (APT) Detection Techniques

The increase in number of people using the Internet leads to increased cyberattack opportunities.Advanced Persistent Threats,or APTs,are among the most dangerous targeted cyberattacks.APT attacks utilize various advanced tools and techniques for attacking targets with specific goals.Even countries with advanced technologies,like the US,Russia,the UK,and India,are susceptible to this targeted attack.APT is a sophisticated attack that involves multiple stages and specific strategies.Besides,TTP(Tools,Techniques,and Procedures)involved in the APT attack are commonly new and developed by an attacker to evade the security system.However,APTs are generally implemented in multiple stages.If one of the stages is detected,we may apply a defense mechanism for subsequent stages,leading to the entire APT attack failure.The detection at the early stage of APT and the prediction of the next step in the APT kill chain are ongoing challenges.This survey paper will provide knowledge about APT attacks and their essential steps.This follows the case study of known APT attacks,which will give clear information about the APT attack process—in later sections,highlighting the various detection methods defined by different researchers along with the limitations of the work.Data used in this article comes from the various annual reports published by security experts and blogs and information released by the enterprise networks targeted by the attack.

A phase Ⅰ study of Hemay022, an irreversible dual EGFR/HER2 tyrosine kinase inhibitor in Chinese patients with HER2-positive advanced breast cancer

Objective: Hemay022 is a novel small-molecule and an irreversible tyrosine kinase inhibitor with the target of epidermal growth factor receptor(EGFR)/human epidermal growth factor receptor 2(HER2), which demonstrated anti-tumor activity in preclinical studies. This first-in-human study evaluated the safety, pharmacokinetics,tolerability and preliminary anti-tumor activity of Hemay022 in HER2-positive advanced breast cancer patients.Methods: Heavily pretreated patients with HER2-positive advanced breast cancer were assigned to eight dose cohorts in a 3+3 dose-escalation pattern at doses of 50-600 mg QD and 300 mg BID. Eligible patients were given a single dose of Hemay022 on d 1 in week 0, followed by once daily continuous doses for four weeks in 28-day cycles.Pharmacokinetic samples were obtained on d 1 and d 28. Clinical responses were assessed every eight weeks.Results: Twenty-eight patients with advanced breast cancer were treated with Hemay022. The most frequently reported drug-related adverse events were diarrhoea(85.7%), vomiting(28.6%), nausea(25.0%) and decreased appetite(17.9%). No grade 4 drug-related adverse events were reported. At 50-600 mg doses, steady state areas under the concentration-time curve and peak concentrations increased with doses. One patient achieved complete response(CR), and three achieved partial response(PR). The objective response rate(ORR) and disease control rate(DCR) were 14.3% and 46.4% in 28 patients, respectively. The median progression-free survival(PFS) was3.98 months.Conclusions: Hemay022 at the dose of 500 mg once daily was well tolerated. The pharmacokinetic properties and encouraging anti-tumor activities of Hemay022 in advanced breast cancer patients warranted further evaluation of Hemay022 for treating breast cancer patients in the current phase Ⅲ trial(No. NCT05122494).

Comprehensive analysis of advanced glycation end-products in commonly consumed foods:presenting a database for dietary AGEs and associated exposure assessment

Advanced glycation end-products(AGEs)are a group of heterogeneous compounds formed in heatprocessed foods and are proven to be detrimental to human health.Currently,there is no comprehensive database for AGEs in foods that covers the entire range of food categories,which limits the accurate risk assessment of dietary AGEs in human diseases.In this study,we first established an isotope dilution UHPLCQq Q-MS/MS-based method for simultaneous quantification of 10 major AGEs in foods.The contents of these AGEs were detected in 334 foods covering all main groups consumed in Western and Chinese populations.Nε-Carboxymethyllysine,methylglyoxal-derived hydroimidazolone isomers,and glyoxal-derived hydroimidazolone-1 are predominant AGEs found in most foodstuffs.Total amounts of AGEs were high in processed nuts,bakery products,and certain types of cereals and meats(>150 mg/kg),while low in dairy products,vegetables,fruits,and beverages(<40 mg/kg).Assessment of estimated daily intake implied that the contribution of food groups to daily AGE intake varied a lot under different eating patterns,and selection of high-AGE foods leads to up to a 2.7-fold higher intake of AGEs through daily meals.The presented AGE database allows accurate assessment of dietary exposure to these glycotoxins to explore their physiological impacts on human health.

Prognostic analysis of related factors of adverse reactions to immunotherapy in advanced gastric cancer and establishment of a nomogram model

BACKGROUND Immunotherapy for advanced gastric cancer has attracted widespread attention in recent years.However,the adverse reactions of immunotherapy and its relationship with patient prognosis still need further study.In order to determine the association between adverse reaction factors and prognosis,the aim of this study was to conduct a systematic prognostic analysis.By comprehensively evaluating the clinical data of patients with advanced gastric cancer treated by immunotherapy,a nomogram model will be established to predict the survival status of patients more accurately.AIM To explore the characteristics and predictors of immune-related adverse reactions(irAEs)in advanced gastric cancer patients receiving immunotherapy with programmed death protein-1(PD-1)inhibitors and to analyze the correlation between irAEs and patient prognosis.METHODS A total of 140 patients with advanced gastric cancer who were treated with PD-1 inhibitors in our hospital from June 2021 to October 2023 were selected.Patients were divided into the irAEs group and the non-irAEs group according to whether or not irAEs occurred.Clinical features,manifestations,and prognosis of irAEs in the two groups were collected and analyzed.A multivariate logistic regression model was used to analyze the related factors affecting the occurrence of irAEs,and the prediction model of irAEs was established.The receiver operating characteristic(ROC)curve was used to evaluate the ability of different indicators to predict irAEs.A Kaplan-Meier survival curve was used to analyze the correlation between irAEs and prognosis.The Cox proportional risk model was used to analyze the related factors affecting the prognosis of patients.RESULTS A total of 132 patients were followed up,of whom 63(47.7%)developed irAEs.We looked at the two groups’clinical features and found that the two groups were statistically different in age≥65 years,Ki-67 index,white blood cell count,neutrophil count,and regulatory T cell(Treg)count(all P<0.05).Multivariate logistic regression analysis showed that Treg count was a protective factor affecting irAEs occurrence(P=0.030).The ROC curve indicated that Treg+Ki-67+age(≥65 years)combined could predict irAEs well(area under the curve=0.753,95%confidence interval:0.623-0.848,P=0.001).Results of the Kaplan-Meier survival curve showed that progressionfree survival(PFS)was longer in the irAEs group than in the non-irAEs group(P=0.001).Cox proportional hazard regression analysis suggested that the occurrence of irAEs was an independent factor for PFS(P=0.006).CONCLUSION The number of Treg cells is a separate factor that affects irAEs in advanced gastric cancer patients receiving PD-1 inhibitor immunotherapy.irAEs can affect the patients’PFS and result in longer PFS.Treg+Ki-67+age(≥65 years old)combined can better predict the occurrence of adverse reactions.

Lenvatinib combined with sintilimab plus transarterial chemoembolization as first-line treatment for advanced hepatocellular carcinoma

BACKGROUND Recently,combination therapy has shown a better trend towards improved tumour response and survival outcomes than monotherapy in patients with hepatocellular carcinoma(HCC).However,research on triple therapy[lenvatinib+sintilimab+transarterial chemoembolization(TACE)]as a first-line treatment for advanced HCC is limited.AIM To evaluate the safety and efficacy of triple therapy as a first-line treatment for advanced HCC.METHODS HCC patients with Barcelona Clinic Liver Cancer stage C treated with triple therapy were enrolled.All patients were treated with lenvatinib every day and sintilimab once every 3 wk.Moreover,TACE was performed every 4-6 wk if necessary.The primary outcome of the study was overall survival(OS).The secondary outcomes were the objective response rate(ORR),disease control rate(DCR),and incidence of adverse events.RESULTS Forty HCC patients who underwent triple therapy were retrospectively analysed from January 2019 to January 2022.With a median follow-up of 8.5 months,the 3-,6-,and 12-mo OS rates were 100%,88.5%,and 22.5%,respectively.The ORR and DCR were 45%and 90%,respectively.The median progressive free survival and median OS were not reached.Common complications were observed in 76%of the patients(grade 3,15%;grade 4,2.5%).CONCLUSION Combination therapy comprising lenvatinib,sintilimab and TACE achieved promising outcomes in advanced HCC patients and had manageable effects.

Clinical efficacy and safety of erlotinib combined with chemotherapy in the treatment of advanced pancreatic cancer:A meta-analysis

BACKGROUND Advanced pancreatic cancer is resistant to chemotherapeutic drugs,resulting in limited treatment efficacy and poor prognosis.Combined administration of the chemotherapeutic gemcitabine and erlotinib is considered a potential first-line treatment for advanced pancreatic cancer.However,their comparative benefits and potential risks remain unclear.AIM To assess the clinical efficacy and safety of erlotinib combined with other chemotherapy regimens for the treatment of advanced pancreatic cancer.METHODS Literature on the clinical efficacy and safety of erlotinib combined with chemotherapy for advanced pancreatic cancer was retrieved through an online search.The retrieved literature was subjected to a methodological qualitative assessment and was analyzed using the RevMan 5.3 software.Ten randomized controlled trials involving 2444 patients with advanced pancreatic cancer were included in the meta-analysis.RESULTS Compared with chemotherapeutic treatment,erlotinib combined with chemotherapy significantly prolonged the progression-free survival time of pancreatic cancer patients[hazard ratio(HR)=0.78,95%CI:0.66-0.92,P=0.003].Meanwhile,the overall survival(HR=0.99,95%CI:0.72-1.37,and P=0.95)and disease control rate(OR=0.93,95%CI:0.45-0.91,P=0.84)were not significantly favorable.In terms of safety,the erlotinib and chemotherapy combination was associated with a significantly higher risk of diarrhea(OR=3.59,95%CI:1.63-7.90,P<0.05)and rash(OR=3.63,95%CI:1.64-8.01,P<0.05)compared with single-agent chemotherapy.Moreover,the risk of vomiting(OR=1.27,95%CI:0.62-2.59,P=0.51),regurgitation/anorexia(OR=1.61,95%CI:0.25-10.31,P=0.62),and infection(OR=0.72,95%CI:0.28-1.87,P=0.50)were not significant in either group.CONCLUSION Compared with a single chemotherapeutic modality,erlotinib combined with gemcitabine can prolong progression-free survival in pancreatic cancer,but does not improve survival benefit or disease control rate,and can increase the risk of diarrhea and rash.

Pang Fuwan Uses Yao Medicine to Observe the Therapeutic Effects on the Physical and Mental Symptoms of Patients with Advanced Non-Small Cell Lung Cancer

Objective: Investigate the efficacy and safety of Yao Medicine in the treatment of advanced non-small-cell lung carcinoma, and explore the best therapeutic measure for clinical benefit. Methods: From July 2020 to July 2022, 84 patients with advanced non-small-cell lung carcinoma were selected and randomly divided into the Observation Group and control group, and the control group was treated with routine Western medicine, with 42 cases in each group. The activity of daily living (ADL) was assessed before and after treatment, meanwhile, the self-rating depression scale (SDS) and self-rating anxiety SAS (SAS) were used to assess the improvement of a bad mood, and quality of life SF-36 was used to assess the quality of life, to judge the efficacy and safety. Results: The effective rate of observation group was 91.67%. The effective rate of the control group was 76.19%. The effective rate of the observation group was significantly higher than that of the control group (P 0.05). There were no significant differences in the scores of SDS, SAS and quality of life between the two groups before treatment (P > 0.05), and after treatment, the scores of SDS, SAS and quality of life in the two groups were compared with those in the control group (P > 0.05), the scores of VAS, SDS and SAS decreased significantly, while ESCV, angle of straight leg elevation, ADL, physiological score, emotional score, social score and health status score increased significantly, the difference was statistically significant (P 0.05). Conclusion: Yao Medicine can improve the psychosomatic symptoms of patients with advanced non-small-cell lung carcinoma better, with better efficacy and higher safety.

A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM

The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major concern.Advance rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM performance.Here,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning model.The evolutionary polynomial regression method is adopted to aid the selection of input parameters.The results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage error.Further,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational parameters.The performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable strata.Finally,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our model.The results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.