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Supercoiled DNA Minicircles under Double-strand Breaks

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Chinese Journal of Polymer Science 2024年第9期42卷 1353-1359,I0007页

作者： Ye-peng Qiao Chun-lai Ren National Laboratory of Solid State Microstructures and Department of Physics Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China

Understanding how supercoiled DNA releases intramolecular stress is essential for its functional ***,the molecular mechanism underlying the relaxation process remains insufficiently *** we employed MD simulations based on the oxDNA2 model to investigate the relaxation process of a 336-base pair supercoiled minicircular DNA under double-strand breaks with two fixed *** simulations show that the conformational changes in the DNA occur continuously,with intramolecular stress release happening abruptly only when the DNA chain traverses the breakage *** relaxation process is influenced not only by the separation distance between the fixed ends but also their ***,we observe an inhibitory effect on the relaxation characterized by small angles,where short terminal loops impede DNA conformational adjustments,preserving the supercoiled *** findings elucidate the intricate interplay between DNA conformational change,DNA motion and intramolecular stress release,shedding light on the mechanisms governing the relaxation of supercoiled DNA at the molecular level.

关键词： Supercoiled DNA DNA minicircle DNA relaxation oxDNA model MD simulation

Recorded recurrent deep reinforcement learning guidance laws for intercepting endoatmospheric maneuvering missiles

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Defence Technology（防务技术） 2024年第1期31卷 457-470页

作者： Xiaoqi Qiu peng lai Changsheng Gao Wuxing Jing Department of Aerospace Engineering Harbin Institute of TechnologyHarbin150001China Shanghai Electro-Mechanical Engineering Institute Shanghai Academy of Spaceflight TechnologyShanghai201100China

This work proposes a recorded recurrent twin delayed deep deterministic(RRTD3)policy gradient algorithm to solve the challenge of constructing guidance laws for intercepting endoatmospheric maneuvering missiles with uncertainties and observation *** attack-defense engagement scenario is modeled as a partially observable Markov decision process(POMDP).Given the benefits of recurrent neural networks(RNNs)in processing sequence information,an RNN layer is incorporated into the agent’s policy network to alleviate the bottleneck of traditional deep reinforcement learning methods while dealing with *** measurements from the interceptor’s seeker during each guidance cycle are combined into one sequence as the input to the policy network since the detection frequency of an interceptor is usually higher than its guidance *** training,the hidden states of the RNN layer in the policy network are recorded to overcome the partially observable problem that this RNN layer causes inside the *** training curves show that the proposed RRTD3 successfully enhances data efficiency,training speed,and training *** test results confirm the advantages of the RRTD3-based guidance laws over some conventional guidance laws.

关键词： Endoatmospheric interception Missile guidance Reinforcement learning Markov decision process Recurrent neural networks

Insights into the electron transfer mechanisms of peroxydisulfate activation by modified metal-free acetylene black for degradation of sulfisoxazole

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Chinese Chemical Letters 2024年第8期35卷 349-356页

作者： Chunxiu Yu Zelin Wu Hongle Shi Lingyun Gu Kexin Chen Chuan-shu He Yang Liu Heng Zhang peng Zhou Zhaokun Xiong Bo lai State Key Laboratory of Hydraulics and Mountain River Engineering College of Architecture and EnvironmentSichuan UniversityChengdu 610065China Sichuan Academy of Eco-Environmental Sciences Chengdu 610041China Sino-German Centre for Water and Health Research Sichuan UniversityChengdu 610065China

Herein,a modified metal-free acetylene black(MMF-AB)catalyst was synthesized by a simple solvothermal-calcination method and designed successfully to activate peroxodisulfate(PDS)for the degradation of sulfisoxazole(SIZ).Due to the doping of N,S and O metal-free elements,the modified catalyst showed excellent catalytic performance with 100%SIZ removal within 30 *** first-order reaction rate constants(evaluating catalytic efficiencies and activity)of MMF-AB(kobs=0.105 min^(−1))was 3 times higher than pure-AB(k_(obs)=0.029 min^(−1)).Interestingly,it was demonstrated that the reaction sys-tem is based on the transfer of electrons from SIZ to PDS to realize an electron-transfer-based mechanism by the evidence of premixing,electron paramagnetic resonance(EPR)spectroscopy,salt-bridge experi-ments and electrochemical *** introduction of recyclable filtration device solved the secondary pollution caused by the dispersion of the powdered catalyst in the treated water,which further proved the practicality and superiority of the MMF-AB catalyst.

关键词： Peroxydisulfate Sulfisoxazole Acetylene black Electrochemical Electron transfer

Volume-complementary bipolar layered oxide enables stable symmetric sodium-ion batteries

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Nano Research 2024年第5期17卷 4125-4133页

作者： Bo peng Feng Wang Nazir Ahmad lai Yu Shenghua Chen Genqiang Zhang School of Materials Science and Engineering Key Laboratory of Efficient Conversion and Solid-state Storage of Hydrogen and Electricity of Anhui ProvinceAnhui University of TechnologyMa’anshan 243002China Hefei National Research Center for Physical Sciences at the Microscale Chinese Academy of Sciences(CAS)Key Laboratory of Materials for Energy ConversionDepartment of Materials Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China National Innovation Platform(Center)for Industry-Education Integration of Energy Storage Technology School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049China

The commercialization of sodium-ion batteries is based on developing low-cost,highly stable,and safe cathode and anode ***,the promising hard carbon anode and layered oxide cathode suffer from low sodium-embedded potential near 0.1 V and severe phase transitions,which cause safe problem and short lifespan,***,we design a low-strain bipolar P2-Na_(0.7)Ni_(0.25)Fe_(0.2)Ti_(0.55)O_(2) to solve the mentioned obstacles,whereas(Ni,Fe)and Ti provide charge compensation when it is used as cathode and anode,*** is revealed that the bipolar layered oxide undergoes solid-solution reaction when used as cathode or anode,and exhibits volume-complementary feature in a sodium-ion full-cell,as identified by in-situ X-ray ***,the safe symmetric sodium-ion full-cell exhibits excellent cyclic stability with 91.7%capacity retention after 200 *** work will provide a new horizon for designing safe and stable sodium-ion batteries.

关键词： sodium-ion batteries bipolar layered oxides solid-solution reaction volume complementation symmetric battery

26-electrons redox-active polyoxovanadate clusters for aqueous zincion batteries

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Nano Research 2024年第5期17卷 4047-4054页

作者： Yimin Xing Wen Yan Haiyang Wu peng Huang Chao Wang Chao lai School of Chemistry and Materials Science Jiangsu Normal UniversityXuzhou 221116China

Aqueous zinc-ion batteries(ZIBs)are attaining increasing attention for their high safety and low *** significant progresses in realizing high-performance cathode material for ZIBs,simultaneously endowing them with high capacity and fast-charging capability,the long-term cycling stability remains a major unsolved *** this work,a polyoxovanadate cluster of(NH_(4))_(8)[V_(19)O_(41)(OH)_(9)]·11H_(2)O(NOV)is defined as a cathode material for ZIBs that contains mixed-valence vanadium sites(V^(4+)and V^(5+)).A maximum of 26 electrons can be accommodated in one[V_(19)O_(41)(OH)_(9)]^(8-){V_(19)O_(50)}cluster,contributing to the high theoretical specific capacity of 328 mA·h·g^(-1).The Ti_(3)C_(2)T_(x) MXene nanosheets are incorporated into NOV with the help of ionic liquid(IL)linkers to restrain the dissolution of vanadium species and facilitate electron transport across the *** interfacial bonding,anion exchange,and electrostatic interactions among NOV and MXene are provided by IL *** nanohybrid of NOV-IL-MXene endows excellent contact between MXene and NOV,thereby enhanced charge transfer is observed at ***,the as-synthesized NOV-IL-MXene cathodes exhibit high discharge capacity of 413 mA·h·g^(-1) at 0.2 A·g^(-1) even at high mass loading of 5.2 mg·cm^(-2),remarkable rate performance of 182 mA·h·g^(-1) at 10 A·g^(-1),and impressive cycling stability of 94%capacity retention after 2000 *** work opens up new opportunities to develop advanced polyoxovanadate hybrid cathodes for low-cost and high-performance aqueous ZIBs.

关键词： polyoxovanadate MXene composite materials cathodes zinc-ion batteries

Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

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Computers, Materials & Continua 2024年第6期79卷 3783-3803页

作者： Yi-Chun lai shu-Yin Chiang Yao-Chiang Kan Hsueh-Chun Lin Department of Public Health China Medical UniversityTaichung406040Taiwan Department of Information and Telecommunications Engineering Ming Chuan UniversityGui-ShanTaoyuan333Taiwan Department of Electrical Engineering Yuan Ze UniversityChung-Li32003Taiwan Department and Institute of Health Service Administrations China Medical UniversityTaichung406040Taiwan

Artificial intelligence(AI)technology has become integral in the realm of medicine and healthcare,particularly in human activity recognition(HAR)applications such as fitness and rehabilitation *** study introduces a robust coupling analysis framework that integrates four AI-enabled models,combining both machine learning(ML)and deep learning(DL)approaches to evaluate their effectiveness in *** analytical dataset comprises 561 features sourced from the UCI-HAR database,forming the foundation for training the ***,the MHEALTH database is employed to replicate the modeling process for comparative purposes,while inclusion of the WISDM database,renowned for its challenging features,supports the framework’s resilience and *** ML-based models employ the methodologies including adaptive neuro-fuzzy inference system(ANFIS),support vector machine(SVM),and random forest(RF),for data *** contrast,a DL-based model utilizes one-dimensional convolution neural network(1dCNN)to automate feature ***,the recursive feature elimination(RFE)algorithm,which drives an ML-based estimator to eliminate low-participation features,helps identify the optimal features for enhancing model *** best accuracies of the ANFIS,SVM,RF,and 1dCNN models with meticulous featuring process achieve around 90%,96%,91%,and 93%,*** analysis using the MHEALTH dataset showcases the 1dCNN model’s remarkable perfect accuracy(100%),while the RF,SVM,and ANFIS models equipped with selected features achieve accuracies of 99.8%,99.7%,and 96.5%,***,when applied to the WISDM dataset,the DL-based and ML-based models attain accuracies of 91.4%and 87.3%,respectively,aligning with prior research *** conclusion,the proposed framework yields HAR models with commendable performance metrics,exhibiting its suitability for integration into the healthcare services system through AI-driven applications.

关键词： Human activity recognition artificial intelligence support vector machine random forest adaptive neuro-fuzzy inference system convolution neural network recursive feature elimination

Manganese oxide and derivative-modified materials in advanced oxidation processes:A review of modification enhancement and activation mechanisms

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Chinese Chemical Letters 2024年第3期35卷 40-51页

作者： Si Sun shuang Song shuai Yang Yong-Li He Yang Shi peng Zhou Zhao-kun Xiong Yang Liu Heng Zhang Ye Du Chuan-shu He Bo lai State Key Laboratory of Hydraulics and Mountain River Engineering College of Architecture and EnvironmentSichuan UniversityChengdu 610065China Sino-German Centre for Water and Health Research Sichuan UniversityChengdu 610065China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaSichuanChengdu 610054China

Manganese oxides(MNO_(x)),as low-toxicity and high-abundance catalysts,have been demonstrated to hold great promise for application in advanced oxidation processes(AOPs).However,further application of this material is restricted due to its unsatisfactory oxidant activation ***,recently remarkable research on deep activation mechanisms and modification of MNO_(x)have been undertaken to improve its ***,modification enhancement mechanisms of MNO_(x)to efficiently degrade various organic contaminants were discussed and highlighted,including metal doping,coupling with other metal oxides,composite with carbonaceous material,and compounding with other *** activation mechanisms of different MNO_(x)and derivative-modified material(such as doped MNO_(x),metal oxide-MNO_(x)hybrids,and MNO_(x)-carbonaceous material hybrids)were summarized in great details,which was specifically categorized into both radical and non-radical *** effects of pH,inorganic ions,and natural organic matter on degradation reactions are also ***,future research directions and perspectives are presented to provide a clear interpretation on the MNO_(x)initiated AOPs.

关键词： Manganese oxide Derivative-modified materials Modification enhancement mechanisms Advanced oxidation process Activation mechanism

Predictive value of intracranial high-density areas in neurological function

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World Journal of Psychiatry 2024年第7期14卷 1080-1086页

作者： Zhi-Juan Lu Jin-Xing lai Jing-Ru Huang shu-Hua Xie Zhao-Hui lai Department of Neurology Ganzhou People’s HospitalGanzhou 341000Jiangxi ProvinceChina

BACKGROUND Intracranial high-density areas(HDAs)have attracted considerable attention for predicting clinical outcomes;however,whether HDAs predict worse neurological function and mental health remains controversial and unclear,which requires further *** this prospective study,96 patients with acute ischemic stroke(AIS)who accepted endovascular mechanical thrombectomy(EMT)were *** enrolled patients underwent cranial computed tomography(CT)examination within 24 hours after *** data in terms of National Institutes of Health Stroke Scale(NIHSS),the 3-month modified Rankin Scale(mRS),self-rating depression scale(SDS),and self-rating anxiety scale(SAS)scores were collected and compared between patients with HDAs and non-HDAs and between patients with good and poor clinical *** to patients without HDAs,patients with HDAs presented severe neurological deficits(admission NIHSS score:18±3 vs 19±4),were more likely to have post-stroke disabilities(mRS<3:35%vs 62%),and suffered more severe depression(SDS score:58±16 vs 64±13)and anxiety disorder(SAS score:52±8 vs 59±10).Compared to patients with a good prognosis,patients with a poor prognosis presented severe neurological deficits(admission NIHSS score:17±4 vs 20±3),were more likely to have HDAs on CT images(64%vs 33%),and suffered more severe depression(SDS score:55±19 vs 65±11)and anxiety(SAS score:50±8 vs 58±12).Multivariate analysis revealed that HDAs were independent nega-tive prognostic *** In conclusion,HDAs on CT images predicted poor prognosis and severe depressive and anxiety symptoms in patients with AIS who underwent EMT.

关键词： Acute ischemic stroke Endovascular mechanical thrombectomy High-density areas Depressive disorder Anxiety disorder

Epidemic intelligence trinity:Detection,risk assessment,and early warning

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Chinese Medical Journal 2024年第11期137卷 1313-1315页

作者： Ting Zhang Luzhao Feng Shengjie lai Zhihang peng Yajia Lan Weizhong Yang Department of Infectious Diseases School of Population Medicine and Public HealthChinese Academy of Medical Science&Peking Union Medical CollegeBeijing 100730China WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonSO171BJUK Department of Epidemiology and Health Statistics School of Public HealthNanjing Medical UniversityNanjingJiangsu 211166China Department of Occupational Health and Environmental Health West China School of Public HealthSichuan UniversityChengduSichuan 610041China

Emerging infectious diseases have been frequently *** occurrence of infectious diseases is highly uncertain because of the unpredictability of pathogen,the complexity of occurrence time and site,and the characteristics of *** detection and immediate implementation of effective interventions within a reasonable time are the keys to preventing pandemics.[1]However,due to the insufficiency of the traditional surveillance and early warning,which relied heavily on passive reporting by healthcare institutions,[2]the early warning time lags behind the risk factor identification,syndrome differentiation(pneumonia of unknown cause),and suspected case confirmation of the infectious disease at the gateway of clustered *** paper aimed to face the challenges mentioned above and propose a universal epidemic intelligence model to establish a novel infectious disease surveillance and early warning system based on the trinity of surveillance and detection,risk assessment,and early warning.

关键词： mentioned warning intelligence