Comparative effectiveness of first-line therapies for eradication of antibiotic-resistant Helicobacter pylori strains:A network metaanalysis

BACKGROUND As a first-line treatment regimen for Helicobacter pylori(H.pylori)infection,antibiotic therapy is widely used worldwide.However,the question of increasing antibiotic resistance must be considered.Given this issue,we need to find ways to reduce drug resistance.This study examined all currently available first-line regimens and compared them with standard triple treatment through a network meta-analysis of randomized controlled trials(RCTs).AIM To compare first-line treatment regimens for eradication of antibiotic-resistant H.pylori strains.METHODS To compare the effectiveness of the first-line regimens for treating H.pylori infection,a Bayesian network meta-analysis was applied to process data extracted from RCTs.The plausible ranking for each regimen was assessed by the surface under the cumulative ranking curve(SUCRA).In addition,we conducted a relevant search by reference citation analysis.RESULTS Twenty-five RCTs involving 12029 participants[including 1602 infected with clarithromycin(CAM)-resistant strains and 1716 infected with metronidazole(MNZ)-resistant strains]were included,in which a total of seven regimens were used for H.pylori eradication.The results showed that dual therapy containing a high-dose proton pump inhibitor(HDDT)[odds ratio(OR):4.20,95%confidence interval(CI):2.29-8.13]was superior to other therapies for all patients,including those with CAM/MNZ-resistant H.pylori infection.In the comparative effectiveness ranking,for CAM-resistant H.pylori,HDDT(OR:96.80,95%CI:22.46-521.9)had the best results,whereas standard triple therapy ranked last(SUCRA:98.7%vs 0.3%).In the subgroup of high cure rates(≥90%),HDDT was also generally better than other therapies.CONCLUSION For the eradication of CAM-and MNZ-resistant H.pylori strains,HDDT exhibited considerable advantages.The studies of CAM-resistant H.pylori were based on small samples due to a lack of antibiotic sensitivity tests in many RCTs,but the results showed that all patients,including those with CAM-resistant H.pylori infection,had a concordant trend.Overall,HDDT may be a reference for RCTs and other studies of H.pylori eradication.

Transcatheter arterial infusion chemotherapy and embolization for primary lacrimal sac squamous cell carcinoma: A case report

BACKGROUND Although tumors of the lacrimal sac are rare,they represent a potentially lifethreatening situation that can easily be overlooked since patients present with features consistent with chronic dacryocystitis.Lacrimal sac squamous cell carcinoma is the most common lacrimal sac malignancy,but no definitive treatment is currently available.CASE SUMMARY We describe a 34-year-old unmarried male who presented with a red and swollen right lower eyelid,which gradually developed into a mass of the lower eyelid that obstructed vision in his right eye.He was treated with transcatheter arterial infusion chemotherapy and interventional embolization based on the tumor characteristics,and we also administered intensity-modulated radiotherapy and targeted therapy after tumor shrinkage.The tumor treatment demonstrated good efficacy,and the patient’s condition was stable after 10 mo of follow-up.CONCLUSION To our knowledge,this is the first report of lacrimal sac squamous cell carcinoma treated with transcatheter arterial infusion chemotherapy and interventional embolization,which might expand clinical treatment options for lacrimal sac carcinoma.

Research and Development of Virtual Instruments System Based on Depth Camera

This paper takes advantage of the depth camera of somatosensory kinect and sensors to implement gesture recognition and design a virtual instrument system. As long as the user waves his arm without the help of other equipments, our system can automatically recognize the hand gesture and make suitable sound. In order to achieve depth camera's detection of hands movement,this paper introduce the depth imaging technology Light Coding and bone tracking technology to obtain the actual position information and hand movement information of the human body. Feet movement detection uses sensor technology, different stampede strength outputs different digital number after AD conversion so that the intensity can be controlled. A series of experiments show that the system has good fluency and practicality and increased the fun of playing instruments.

Meta-analysis of the diagnosis and treatment of traditional medicine for acute coronary syndrome

The morbidity and mortality of acute coronary syndrome disease is extremely high and is the main cause of human death.As an important part of the wisdom of the Chinese nation,TCM plays an important role in treatment.By reviewing recent related research and reports on TCM theories,Chinese herbal formulas,Chinese and Western medicine treatment and other considerations,it aims to provide ideas and references for clinical treatment.

Progress in diagnosis,treatment and treatment of acute myocardial infarction with traditional C hinese medicine

Acute myocardial infarction is the main cause of human death.Traditional Chinese medicine,as an important part of the wisdom of the Chinese nation,plays an important role in the treatment of myocardial infarction.Combining the latest research on the treatment of acute myocardial infarction with traditional Chinese medicine and related literature reports,it summarizes the theories and treatments of traditional Chinese medicine,aiming to provide clinicians with ideas and references in clinical diagnosis and treatment.

Interfacial engineering of CdS for efficient coupling photoredox

Ternary composites of reduced graphene oxide(GR)-CdS-Pd have been successfully synthesized via solvothermal and photodeposition methods for photocatalytic selective conversion of benzyl alcohol(BA)coupled with hydrogen(H_(2))production, which exhibit significantly improved photoactivity and selectivity than bare CdS. Mechanistic studies unveil that the cooperative effect of the close interface contact and matched energy level alignment between electrical conducting GR nanosheets(NSs) and CdS nanoparticles(NPs) in GR-CdS-Pd composite not only benefits the separation and transfer of photogenerated carriers but also improves the photocorrosion resistance of CdS. The photodeposited Pd NPs further promote the photogenerated charge separation and accelerate the formation of intermediate products(α-hydroxybenzyl radicals), thereby contributing to enhanced conversion of BA. This work would facilitate the rational design of GR as cocatalyst to construct an efficient and stable CdS-based composite photocatalyst for cooperative coupling of fine chemical synthesis and H_(2) evolution.

Three-dimensionally ordered macroporous materials for pollutants abatement,environmental sensing and bacterial inactivation

Owing to their facile reactants migration channels,large surface area,maximized exposure of reaction sites and efficient light utilization,three-dimensionally ordered macroporous(3DOM)materials have been extensively adopted in environmental fields such as pollutants removal,environmental detection as well as bacterial disinfection.In this review,the up-to-date 3DOM materials,the corresponding synthesis protocols and the related environmental applications involving photo/electrocatalytic pollutants decomposition,thermocatalytic volatile organic compounds(VOCs)elimination,hazardous substances sensing and bacteria inactivation are completely presented.Simultaneously,the inherent advantages and mechanisms of 3DOM materials in different environmental utilization are thoroughly demonstrated and summarized.Furthermore,the improved performance of environmental applications and the methods of fabricating 3DOM materials are correlated in depth,being favorable for readers to obtain the fundamental knowledge and to motivate some innovative thoughts for modifying 3DOM materials with further elevated environmental remediation capability.Finally,the current difficulties and prospects of 3DOM materials for large-scale and commercial applications are outlooked.This critical review is anticipated to promote the optimization of 3DOM materials and to ripen the related environmental remediation techniques.

Using improved particle swarm optimization to tune PID controllers in cooperative collision avoidance systems

The introduction ofproportional-integral-dorivative （PID） controllers into cooperative collision avoidance systems （CCASs） has been hindered by difficulties in their optimization and by a lack of study of their effects on vehicle driving stability, comfort, and fuel economy. In this paper, we propose a method to optimize PID controllers using an improved particle swarm optimization （PSO） algorithm, and to bettor manipulate cooperative collision avoidance with other vehicles. First, we use PRESCAN and MATLAB/Simulink to conduct a united simulation, which constructs a CCAS composed of a PID controller, maneuver strategy judging modules, and a path planning module. Then we apply the improved PSO algorithm to optimize the PID controller based on the dynamic vehicle data obtained. Finally, we perform a simulation test of performance before and after the optimization of the PID controller, in which vehicles equipped with a CCAS undertake deceleration driving and steering under the two states of low speed （≤50 km/h） and high speed （≥100 km/h） cruising. The results show that the PID controller optimized using the proposed method can achieve not only the basic functions of a CCAS, but also improvements in vehicle dynamic stability, riding comfort, and fuel economy.

Boosting reaction kinetics and shuttle effect suppression by single crystal MOF-derived N-doped ordered hierarchically porous carbon for high performance Li-Se battery

Maximizing the fixing ability of polyselenides to reduce the shuttle effect in Li-Se batteries remains highly challenging.Single crystal metal-organic framework(MOF)-derived N-doped ordered hierarchically porous carbon(SNOHPC)synthesized by a confined crystal growth and template-assisted method demonstrates excellent electrochemical performance as a host material for Li-Se battery.The large number of micropores inherited from the MOF structure provides large space and surface for Se loading and reaction sites,ensuring the high energy density of the battery.The insitu X-ray diffraction(XRD)technique is used to understand the reaction mechanism.The synergy of the interconnected three-scale-level micro-meso-macroporous structure and Ndoped polar sites can buffer the volume expansion,shorten the ion transportation with a very high diffusion coefficient of4.44×10cm^(2)sand accelerate the lithiation/delithiation reaction.Selenium is sufficiently reactive and the polyselenide intermediates are tightly fixed inside the carbon host material,thereby achieving excellent specific capacity,stability,and rate capability.Such a cathode exhibits a very high 2discharge/charge capacity of 658 and 683 mA h g,respectively,and retains a very high capacity of 367 mA h gafter 200 cycles at the current of 0.2 C.Even at the high current of 5 C,a very high discharge capacity of 230 mA h gis obtained.This work provides a new kind of high-performance porous materials with rational pore arrangement applicable for highly efficient energy storage.

Template-free synthesis of hierarchically macro-mesoporous Mn-TiO2 catalysts for selective reduction of NO with NH3

This study described a template-flee method for the synthesis of hierarchically macro-mesoporous Mn- TiO2 catalysts. The promoting effect of Mn doping and the hierarchically macro-mesoporous architecture on TiO2 based catalysts was also investigated for the selective reduction of NO with NH3. The results show that the catalytic performance of TiO2 based catalysts was improved greatly after Mn doping. Meanwhile, the Mn- TiO2 catalyst with the hierarchically macro-mesoporous architecture has a better catalytic activity than that without such an architecture.

A local density optimization method based on a graph convolutional network

Success has been obtained using a semi-supervised graph analysis method based on a graph convolutional network(GCN).However,GCN ignores some local information at each node in the graph,so that data preprocessing is incomplete and the model generated is not accurate enough.Thus,in the case of numerous unsupervised models based on graph embedding technology,local node information is important.In this paper,we apply a local analysis method based on the similar neighbor hypothesis to a GCN,and propose a local density definition;we call this method LDGCN.The LDGCN algorithm processes the input data of GCN in two methods,i.e.,the unbalanced and balanced methods.Thus,the optimized input data contains detailed local node information,and then the model generated is accurate after training.We also introduce the implementation of the LDGCN algorithm through the principle of GCN,and use three mainstream datasets to verify the effectiveness of the LDGCN algorithm(i.e.,the Cora,Citeseer,and Pubmed datasets).Finally,we compare the performances of several mainstream graph analysis algorithms with that of the LDGCN algorithm.Experimental results show that the LDGCN algorithm has better performance in node classification tasks.