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A scoping review of methodologies for applying artificial intelligence to physical activity interventions

Journal of Sport and Health Science 2024年第3期13卷 428-441页

作者： Ruopeng An Jing Shen junjie wang Yuyi Yang Brown School Washington UniversitySt.LouisMO 63130USA Department of Physical Education China University of Geosciences BeijingBeijing 100083China School of Kinesiology and Health Promotion Dalian University of TechnologyDalian 116024China Division of Computational and Data Sciences Washington UniversitySt.LouisMO 63130USA

Purpose This scoping review aimed to offer researchers and practitioners an understanding of artificial intelligence(AI)applications in physical activity(PA)interventions;introduce them to prevalent machine learning(ML),deep learning(DL),and reinforcement learning(RL)algorithms;and encourage the adoption of AI methodologies.Methods A scoping review was performed in PubMed,Web of Science,Cochrane Library,and EBSCO focusing on AI applications for promoting PA or predicting related behavioral or health outcomes.AI methodologies were summarized and categorized to identify synergies,patterns,and trends informing future research.Additionally,a concise primer on predominant AI methodologies within the realm of PA was provided to bolster understanding and broader application.Results The review included 24 studies that met the predetermined eligibility criteria.AI models were found effective in detecting significant patterns of PA behavior and associations between specific factors and intervention outcomes.Most studies comparing AI models to traditional statistical approaches reported higher prediction accuracy for AI models on test data.Comparisons of different AI models yielded mixed results,likely due to model performance being highly dependent on the dataset and task.An increasing trend of adopting state-of-the-art DL and RL models over standard ML was observed,addressing complex human–machine communication,behavior modification,and decision-making tasks.Six key areas for future AI adoption in PA interventions emerged:personalized PA interventions,real-time monitoring and adaptation,integration of multimodal data sources,evaluation of intervention effectiveness,expanding access to PA interventions,and predicting and preventing injuries.Conclusion The scoping review highlights the potential of AI methodologies for advancing PA interventions.As the field progresses,staying informed and exploring emerging AI-driven strategies is essential for achieving significant improvements in PA interventions and fostering overall we

关键词： Artificial intelligence Intervention Machine learning Neural network Physical activity

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MMAE-loaded PLGA nanomedicine with improved biosafety to achieve efficient antitumor treatment

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Journal of Innovative Optical Health Sciences 2024年第2期17卷 79-93页

作者： Changqiang Xie Yan wang Zhenzhen Cai Jianghai Du Zhengyu Chen junjie wang Xingzhou Peng State Key Laboratory of Digital Medical Engineering School of Biomedical Engineering Hainan University Haikou 570228P.R.China Key Laboratory of Biomedical Engineering of Hainan Province One Health Institute Hainan University Haikou 570228P.R.China Key Laboratory of Hainan Trauma and Disaster Rescue The First Affiliated Hospital of Hainan Medical University Hainan Medical University Haikou 571199P.R.China Engineering Research Center for Hainan Bio.Smart Materials and Bio-Medical Devices Key Laboratory of Emergency and Trauma Ministry of EducationKey Laboratory of Hainan Functional Materials and Molecular ImagingCollege of Emergency and Trauma Hainan Medical UniversityHaikou 571199P.R.China

Monomethyl auristatin E(MMAE)is a derivative of the marine peptide Dolastatin 10,which has therapeutic effects against various cancers according to its antimitotic activity in multiple clinical trials.The antibody drug conjugate(ADC)of MMAE is currently used in clinical practice.However,the safety issues of MMAE-based ADC,such as high drug toxicity and poor bioavailability,still exist when using it for anticancer therapy.A sustained release of drug delivery approach should be used to reduce toxicity and achieve sufficient anticancer effects.Herein,PLGA-b-PEG 2000 with excellent biocompatibility and slow degradation ability was adopted to construct MMAE-loaded nanoparticles for safe and effective chemotherapy.The sustained release effect and the immunogenic cell death(ICD)effect of PLGA-MMAE nanoparticles were assessed by in vitro experiments.The PLGA-MMAE nanoparticles effectively accumulated in the tumor through the enhanced permeability and retention(EPR)effect,inducing cell apoptosis and causing a certain degree of immune response.The sustained drug release of PLGA-MMAE improved the bioavailability and effectively reduced the toxicity and development of the tumor compared to the effect of free MMAE or ADC.Overall,this study provides a safe and effective chemotherapeutic approach,as well as a simple and effective synthetic process for MMAE-based nanoparticles,improving their therapeutic efficacy and safety.

关键词： Monomethyl auristatin E poly(lactic-co-glycolic acid)nanoparticles sustained release chemotherapy immunogenic cell death

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Triphenylamine-AIEgens photoactive materials for cancer theranostics

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Chinese Chemical Letters 2024年第6期35卷 86-94页

作者： junjie wang Yan wang Zhengdong Li Changqiang Xie Musammir Khan Xingzhou Peng Fabiao Yu State Key Laboratory of Digital Medical Engineering School of Biomedical EngineeringHainan UniversityHaikou 570228China Key Laboratory of Biomedical Engineering of Hainan Province One Health InstituteHainan UniversityHaikou 570228China Key Laboratory of Hainan Trauma and Disaster Rescue The First Affiliated Hospital of Hainan Medical UniversityHainan Medical UniversityHaikou 571199China Engineering Research Center for Hainan Bio-Smart Materials and Bio-Medical Devices Key Laboratory of Emergency and TraumaMinistry of EducationKey Laboratory of Hainan Functional Materials and Molecular ImagingCollege of Emergency and TraumaHainan Medical UniversityHaikou 571199China Precision Medical Center Guangyuan City Centre hospitalGuangyuan 628099China School of Natural Sciences(SNS) National University of Science and Technology(NUST)H-12Islamabad 44000Pakistan

Triphenylamine(TPA)-based aggregation-induced emission luminogens(TPA-AIEgens),a type of photoactive material utilizing the typical TPA moiety,has recently attracted increasing attention for the diagnostics and treatment of tumors due to their remarkable chemo-physical performance in optoelectronic research.TPA-AIEgens are distinguished from other photoactive agents by their strong fluorescence,good sensitivity,high signal-to-noise ratio,resistance to photobleaching,and lack of high concentration or aggregation-caused fluoresce quenching effects.In this review,we summarize the current advancements and the biomedical progress of TPA-AIEgens in tumor theranostics.First,the design principles of TPAAIEgens photoactive agents as well as the advanced targeting strategies for nuclei,cell membranes,cell organelle and tumors were introduced,respectively.Next,the applications of TPA-AIEgens in tumor diagnosis and therapeutic techniques were reviewed.Last,the challenges and prospects of TPA-AIEgens for cancer therapy were performed.The given landscape of the TPA-AIEgens hereby is meaningful for the further design and utilization of the novel photoactive material,which could be beneficial for the development of clinic applications.

关键词： Triphenylamine AIEgens Targeting Theranostics Phototherapy Immunotherapy

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Non-invasive imaging of pathological scars using a portable handheld two-photon microscope

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Chinese Medical Journal 2024年第3期137卷 329-337页

作者： Yang Han Yuxuan Sun Feili Yang Qingwu Liu Wenmin Fei Wenzhuo Qiu junjie wang Linshuang Li Xuejun Zhang Aimin wang Yong Cui Graduate School Chinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100730China Department of Dermatology China-Japan Friendship HospitalBeijing 100029China College of Engineering Peking UniversityBeijing 100871China School of Chemical Biology and Biotechnology State Key Laboratory of Chemical OncogenomicsPeking University Shenzhen Graduate SchoolShenzhenGuangdong 518055China Department of Dermatology The First Affiliated Hospital of Nanchang UniversityNanchangJiangxi 330006China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing 100871China College of Future Technology Peking UniversityBeijing 100871China Beijing Transcend Vivoscope Biotech Beijing 100085China Department of Dermatology The First Affiliated Hospital of Anhui Medical UniversityHefeiAnhui 230001China Institute of Dermatology Anhui Medical UniversityHefeiAnhui 230001China School of Electronics Peking UniversityBeijing 100871China

Background:Pathological scars are a disorder that can lead to various cosmetic,psychological,and functional problems,and no effective assessment methods are currently available.Assessment and treatment of pathological scars are based on cutaneous manifestations.A two-photon microscope(TPM)with the potential for real-time non-invasive assessment may help determine the under-surface pathophysiological conditions in vivo.This study used a portable handheld TPM to image epidermal cells and dermal collagen structures in pathological scars and normal skin in vivo to evaluate the effectiveness of treatment in scar patients.Methods:Fifteen patients with pathological scars and three healthy controls were recruited.Imaging was performed using a portable handheld TPM.Five indexes were extracted from two dimensional(2D)and three dimensional(3D)perspectives,including collagen depth,dermo-epidermal junction(DEJ)contour ratio,thickness,orientation,and occupation(proportion of collagen fibers in the field of view)of collagen.Two depth-dependent indexes were computed through the 3D second harmonic generation image and three morphology-related indexes from the 2D images.We assessed index differences between scar and normal skin and changes before and after treatment.Results:Pathological scars and normal skin differed markedly regarding the epidermal morphological structure and the spectral characteristics of collagen fibers.Five indexes were employed to distinguish between normal skin and scar tissue.Statistically significant differences were found in average depth(t=9.917,P<0.001),thickness(t=4.037,P<0.001),occupation(t=2.169,P<0.050),orientation of collagen(t=3.669,P<0.001),and the DEJ contour ratio(t=5.105,P<0.001).Conclusions:Use of portable handheld TPM can distinguish collagen from skin tissues;thus,it is more suitable for scar imaging than reflectance confocal microscopy.Thus,a TPM may be an auxiliary tool for scar treatment selection and assessing treatment efficacy.

关键词： Scars Two-photon microscope Two-photon excitation fluorescence Second harmonic generation microscopy

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Bio-cementation for tidal erosion resistance improvement of foreshore slopes based on microbially induced magnesium and calcium precipitation

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1696-1708页

作者： Xiaohao Sun junjie wang Hengxing wang Linchang Miao Ziming Cao Linyu Wu Institute of Geotechnical Engineering Southeast UniversityNanjing211189China School of Civil Engineering and Architecture Wuhan Polytechnic UniversityWuhan430070China

In most coastal and estuarine areas,tides easily cause surface erosion and even slope failure,resulting in severe land losses,deterioration of coastal infrastructure,and increased floods.The bio-cementation technique has been previously demonstrated to effectively improve the erosion resistance of slopes.Seawater contains magnesium ions(Mg^(2+))with a higher concentration than calcium ions(Ca^(2+));therefore,Mg^(2+)and Ca^(2+)were used together for bio-cementation in this study at various Mg^(2+)/Ca^(2+)ratios as the microbially induced magnesium and calcium precipitation(MIMCP)treatment.Slope angles,surface strengths,precipitation contents,major phases,and microscopic characteristics of precipitation were used to evaluate the treatment effects.Results showed that the MIMCP treatment markedly enhanced the erosion resistance of slopes.Decreased Mg^(2+)/Ca^(2+)ratios resulted in a smaller change in angles and fewer soil losses,especially the Mg^(2+)concentration below 0.2 M.The decreased Mg^(2+)/Ca^(2+)ratio achieved increased precipitation contents,which contributed to better erosion resistance and higher surface strengths.Additionally,the production of aragonite would benefit from elevated Mg^(2+)concentrations and a higher Ca^(2+)concentration led to more nesquehonite in magnesium precipitation crystals.The slopes with an initial angle of 53°had worse erosion resistance than the slopes with an initial angle of 35°,but the Mg^(2+)/Ca^(2+)ratios of 0.2:0.8,0.1:0.9,and 0:1.0 were effective for both slope stabilization and erosion mitigation to a great extent.The results are of great significance for the application of MIMCP to improve erosion resistance of foreshore slopes and the MIMCP technique has promising application potential in marine engineering.

关键词： Bio-cementation Erosion resistance Foreshore slope stabilization Magnesium ions Calcium ions

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Fullerene-derived boron-doped defective nanocarbon for highly selective H_(2)O_(2) electrosynthesis

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Nano Research 2024年第3期17卷 1217-1224页

作者： wangqiang Shen Chang Zhang Muneerah Alomar Zhiling Du Zepeng Yang junjie wang Guangqing Xu Jian Zhang Jun Lv Xing Lu School of Materials Science and Engineering Hefei University of TechnologyHefei 230009China School of Energy and Environmental Hebei University of EngineeringHandan 056038China School of Materials Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Department of Physics College of SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia

Electrochemical production of hydrogen peroxide(H_(2)O_(2))via the two-electron(2e-)pathway of oxygen reduction reaction(ORR)supplies an auspicious alternative to the current industrial anthraquinone process.Nonetheless,it still lacks efficient electrocatalysts to achieve high ORR activity together with 2e-selectivity simultaneously.Herein,a boron-doped defective nanocarbon(B-DC)electrocatalyst is synthesized by using fullerene frameworks as the precursor and boric oxide as the boron source.The obtained B-DC materials have a hierarchical porous structure,befitting boron dopants,and abundant topological pentagon defects,exhibiting a high ORR onset potential of 0.78 V and a dominated 2e-selectivity(over 95%).Remarkably,when B-DC electrocatalyst is employed in a real device,it achieves a high H_(2)O_(2) yield rate(247 mg·L^(-1)·h^(-1)),quantitative Faraday efficiency(~100%),and ultrafast organic pollutant degradation rate.The theoretical calculation reveals that the synergistic effect of topological pentagon defects and the incorporation of boron dopants promote the activation of the O_(2) molecule and facilitates the desorption of oxygen intermediate.This finding will be very helpful for the comprehension of the synergistic effect of topological defects and heteroatom dopants for boosting the electrocatalytic performance of nanocarbon toward H_(2)O_(2) production.

关键词： fullerene electrochemical hydrogen peroxide production oxygen reduction reaction carbon nanomaterials

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An Efficient YOLOX-Based Method for Photovoltaic Cell Defect Detection

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Instrumentation 2024年第2期 83-95页

作者： junjie wang Li Bi Xunde Ma Pengxiang Sun College of Information Engineering Ningxia University Hefei Institutes of Physical Science Chinese Academy of Sciences University of Science and Technology of China College of Economics and Management Taiyuan University of Technology

Defect detection technology is crucial for the efficient operation and maintenance of photovoltaic systems. However, the diversity of defect types, scale inconsistencies, and background interference significantly complicate the detection task. Therefore, this paper employs the YOLOX model as the backbone network structure and optimizes various modules to address these issues. First, we adopt a transfer learning strategy to accelerate model convergence and avoid insufficient accuracy due to the limited number of defect samples.Second, we introduce the SENet module into the feature extraction process to enhance the contrast between defects and their background. Then, we incorporate the ASFF strategy at the end of the PAFPN network to adaptively learn and emphasize both high-and low-level semantic features of defects. Furthermore, model accuracy is enhanced by refining the loss functions for positioning, classification, and confidence. Finally, the proposed method achieved excellent results on the Photovoltaic Electroluminescence Anomaly Detection dataset(PVEL-AD), with a mAP of 96.7% and a detection speed of 71.47FPS. Specifically, the detection of small target defects showed significant improvement.

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reeding maize of ideal plant architecture for high-density planting tolerance through modulating shade avoidance response and beyond

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Journal of Integrative Plant Biology 2024年第5期66卷 849-864页

作者： Fereshteh Jafari Baobao wang Haiyang wang junjie Zou Biotechnology Research Institute Chinese Academy of Agricultural SciencesBeijing 100081China Graduate School of Chinese Academy of Agricultural Sciences Beijing 100081China National Nanfan Research Institute CAASSanya 572025China State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources College of Life SciencesSouth China AgriculturalUniversityGuangzhou 510642China

Maize is a major staple crop widely used as food,animal feed,and raw materials in industrial production.High-density planting is a major factor contributing to the continuous increase of maize yield.However,high planting density usually triggers a shade avoidance response and causes increased plant height and ear height,resulting in lodging and yield loss.Reduced plant height and ear height,more erect leaf angle,reduced tassel branch number,earlier flowering,and strong root system architecture are five key morphological traits required for maize adaption to high-density planting.In this review,we summarize recent advances in deciphering the genetic and molecular mechanisms of maize involved in response to high-density planting.We also discuss some strategies for breeding advanced maize cultivars with superior performance under high-density planting conditions.

关键词： flowering time high-density planting leaf angle maize plant architecture plant height/ear height root architecture tasselbranch

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SARS-CoV-2 ORF8 does not function in the nucleus as a histone mimic

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Protein & Cell 2024年第2期15卷 79-82页

作者： Ping Liu junjie Hui Lei wang National Laboratory of Biomacromolecules CAS Center for Excellence in BiomacromoleculesInstitute of BiophysicsChinese Academy of SciencesBeijing100101China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China

Disruption of epigenetic regulation in host cells is a common evasion strategy used by viruses(Ozturkler and Kalkan 2021).Recently,Kee et al.(2022)reported that accessory protein ORF8 of SARS-CoV-2 can diffuse into the cell nucleus and mimic histone H3 through the ARKS motif,thereby interfering with H3 post-translational modifications(PTMs),disrupting gene transcription,and diminishing the antiviral response.

关键词： mimic thereby function

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Accuracy of numerical relativity waveforms with respect to space-based gravitational wave detectors

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Communications in Theoretical Physics 2024年第1期76卷 82-95页

作者： Zun wang junjie Zhao Zhoujian Cao Institute for Frontiers in Astronomy and Astrophysics Beijing Normal UniversityBeijing 102206China Department of Astronomy Beijing Normal UniversityBeijing 100875China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced StudyUCASHangzhou 310024China

As with the laser interferometer gravitational-wave observatory(LIGO),the matched filtering technique will be critical to the data analysis of gravitational wave detection by space-based detectors,including LISA,Taiji and Tianqin.Waveform templates are the basis for such matched filtering techniques.To construct ready-to-use waveform templates,numerical relativity waveforms are a starting point.Therefore,the accuracy issue of numerical relativity waveforms is critically important.There are many investigations regarding this issue with respect to LIGO.But unfortunately there are few results on this issue with respect to space-based detectors.The current paper investigates this problem.Our results indicate that the existing numerical relativity waveforms are as accurate as 99%with respect to space-based detectors,including LISA,Taiji and Tianqin.Such an accuracy level is comparable to that with respect to LIGO.

关键词： numerical relativity gravitational wave binary black hole

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