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.

Conversion therapy for unresectable hepatocellular carcinoma:Advances and challenges

Recently,the World Journal of Gastrointestinal Oncology published an article entitled“Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy:A case report and review of the literature”,in which the authors shared their successful experience with complete surgical resection after multidisciplinary conversion therapy.The study by Chu et al demonstrates the great challenges that the advanced hepatocellular carcinoma(HCC)poses to surgical oncology,reveals the complexity of conversion therapy for unresectable HCC,emphasizes the important role of a multidisciplinary management model in conversion therapy,and enriches our understanding of the dynamics of personalized treatment for different patients.At present,conversion therapy is a hot research topic in the treatment of unresectable HCC,which has brought new hope to many patients with moderately advanced HCC.However,there are still many urgent problems to be solved in conversion therapy.Here,we would like to further discuss the advances and challenges of conversion therapy for unresectable HCC with the authors and the general readers.

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 in the study of epicanthus correction

Epicanthus is a half-moon-shaped skin fold diagonally or vertically distributed in front of the medial canthus.In mild cases,it affects aesthetics,whereas in severe cases,it may obscure the patient’s field of vision and even affect the functional development of the eyes in children.Until now,surgery has been the only corrective measure for epicanthus and a bewildering number of epicanthus-related surgical procedures have been reported;however,there is no standardized classification to guide inexperienced plastic surgeons in their study or case selection.Therefore,this review aimed to classify epicanthus accordingly and introduce its corresponding and appropriate surgical treatment modalities.

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.

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.

Advances in beyond total mesorectal excision surgery: Behind the scenes

The management of locally advanced rectal cancer involving adjacent organs and extending beyond the surgical planes of total mesorectal excision has evolved over the past few decades both in terms of the effectiveness of preoperative treatments and surgical innovation.The use of a robotic platform is increasing,even in complex surgery such as pelvic exenteration together with the advantages of minimally invasive procedures.However,satisfactory surgical,oncological,and functional outcomes are achieved not only minimizing the impact of a demolitive surgery but also when a multidisciplinary specialized team focuses on experienced surgeons,mandatory rules of surgical oncology,appropriate medical treatments,accurate preoperative planning,and an acceptable quality of life.

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。

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.

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.

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.

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.

Design and analysis of an advanced thermal management system for the solar close observations and proximity experiments spacecraft

In this paper,the mission and the thermal environment of the Solar Close Observations and Proximity Experiments(SCOPE)spacecraft are analyzed,and an advanced thermal management system(ATMS)is designed for it.The relationship and functions of the integrated database,the intelligent thermal control system and the efficient liquid cooling system in the ATMS are elaborated upon.For the complex thermal field regulation system and extreme space thermal environment,a modular simulation and thermal field planning method are proposed,and the feasibility of the planning algorithm is verified by numerical simulation.A solar array liquid cooling system is developed,and the system simulation results indicate that the temperatures of the solar arrays meet the requirements as the spacecraft flies by perihelion and aphelion.The advanced thermal management study supports the development of the SCOPE program and provides a reference for the thermal management in other deep-space exploration programs.

Clinical outcomes of second-line chemotherapy in patients with advanced pancreatic adenocarcinoma:a real-world study

Objective:Little progress has been made in recent years using first-line chemotherapy,including gemcitabine combined with nab-paclitaxel,FOLFIRINOX,and NALIRIFOX,for advanced pancreatic adenocarcinoma(APC).In addition,the optimal second-line chemotherapy regimen has not been determined.This study aimed to compare the effectiveness of different types of second-line chemotherapy for APC.Methods:Patients with APC who received first-line treatment from January 2008 to January 2021 were considered eligible for this retrospective analysis.The primary and secondary endpoints were overall survival(OS)and progression-free survival(PFS),respectively.Results:Four hundred and thirty-seven and 617 patients were treated with 5-fluorouracil-and gemcitabine-based chemotherapy as first-line treatment,respectively.Demographic and clinical features,except age and liver metastasis,were comparable between the two groups(P<0.05).The median OS was 8.8 and 7.8 months in patients who received a 5-fluorouracil-and gemcitabine-based combined regimen for first-line therapy,respectively(HR=1.244,95%CI=1.090–1.419;P<0.001).The median OS was 5.6 and 1.9 months in patients who received second-line chemotherapy and supportive care,respectively(HR=0.766,95%CI=0.677–0.867;P<0.001).The median PFS was not significantly differently between gemcitabine or 5-fluorouracil monotherapy and combination therapy.Conclusions:A 5-fluorouracil-or gemcitabine-based combined regimen was shown to be as effective as a single 5-fluorouracil or gemcitabine regimen as second-line therapy for patients with APC.

Kinematics ofmandibular advancement devices(MADs):Why do some MADs move the lower jaw backward duringmouth opening?

Mandibular advancement devices(MADs)are widely used treatments for obstructive sleep apnea.MADs function by advancing the lower jaw to open the upper airway.To increase patient comfort,most patients allow the mouth to be opened.However,not all systems maintain the lower jaw in a forward position during mouth opening,which results in the production of a retrusion that favors the collapse of the upper airway.Furthermore,the kinematic behavior of the mechanism formed by the mandible-device assembly depends on jaw morphology.This means that,during mouth opening,some devices cause lower jaw protrusion in some patients,but cause its retraction in others.In this study,we report the behavior of well-known devices currently on themarket.To do so,we developed a kinematic model of the lower jawdevice assembly.Thismodelwas validated for all devices analyzed using a high-resolution camera system.Our results show that some of the devices analyzed here did not produce the correct behavior during patient mouth opening.

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.