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World Journal of Cardiology 2024年第4期16卷 215-216页

作者： jing-jing wang Qiang Zhou Zhen-Hua Huang Yong Han Chong-Zhen Qin Zhong-Qing Chen Xiao-Yong Xiao Zhe Deng Department of Emergency Medicine Shenzhen Second People’s Hospital/The First Affiliated Hospital of Shenzhen University Health Science CenterShenzhen 518035Guangdong ProvinceChina Shenzhen Emergency Medical Center Shenzhen 518043Guangdong ProvinceChina

This is an erratum to an already published paper named“Establishment of a prediction model for prehospital return of spontaneous circulation in out-ofhospital patients with cardiac arrest”.We found errors in the affiliated institution of the authors.We apologize for our unintentional mistake.Please note,these changes do not affect our results.

关键词： Cardiac arrest Cardiopulmonary resuscitation Recovery spontaneous circulation Logistic regression analysis Predictive model

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

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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

The clinical characteristics and risk factors for necrotizing soft tissue infection in children

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儿科学研究(英文) 2024年第1期8卷 21-26页

作者： Liu jing Chen Jigang wang Yanni Qi Hongyan Yu jing Department of Burn and Plastic Surgery Beijing Children’s Hospital Capital Medical University National Center for Children’s Health Beijing China

Importance: Necrotizing soft tissue infection (NSTI) is a serious infectious disease. However, the early clinical manifestations and indicators of NSTI in children are still unclear.Objective: The purpose of this study was to analyze the clinical characteristics and risk factors of NSTI in pediatric patients.Methods: A total of 127 children with skin and soft tissue infection (SSTI) were treated at our hospital and divided into two groups: the NSTI group and the non-NSTI group, based on their discharge diagnosis from January 2011 to December 2022. Then, we collected and analyzed the clinical characteristics and risk factors of all patients, including sex and age, disease inducement, admission temperature, local skin manifestations, infection site, the presence of sepsis, bacterial culture, and laboratory indicators.Results: In our study, there was a statistical difference in the age distribution and disease inducement between NSTI and non-NSTI groups. The occurrence of local skin manifestations (blisters/bullae and ecchymosis) and the presence of sepsis significantly increased in the NSTI group compared to the non-NSTI group. Additionally, only the platelet count on laboratory tests was statistically different between the NSTI and non-NSTI groups. Finally, the logistic regression analysis suggested that local skin manifestations such as blisters/bullae, and ecchymosis, as well as the presence of sepsis, were identified as risk factors for NSTI.Interpretation: Children with SSTI and skin manifestations such as blisters/bullae, ecchymosis, and the presence of sepsis are at a higher risk of developing NSTI. These symptoms serve as useful indicators for early detection of NSTI.

关键词： Clinical characteristics Risk factors Necrotizing soft tissue infection Skin and soft tissue infection

Sirt5 desuccinylates Cdc42 to mediate osteoclastogenesis and bone remodeling in mice

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Genes & Diseases 2024年第3期11卷 75-78页

作者： Yuang Zhanngg jing wang jing Luan Chuanju Liu Yazhou Cui Jinxiang Han Department of Orthopedics The First Affiliated Hospital of Shandong First Medical University&Shandong Provincial Qianfoshan HospitalJi'nanShandong 250014China Biomedical Sciences College&Shandong Medicinal Biotechnology Centre Shandong First Medical University&Shandong Academy of Medical SciencesJi'nanShandong 250117China NHC Key Laboratory of Biotechnology Drugs(Shandong Academy of Medical Sciences) Ji'nanShandong 250117China Key Lab for Rare&Uncommon Diseases of Shandong Province Ji'nanShandong250117China Department of Orthopaedic Surgery New York University Grossman School of MedicineNew YorkNY 10003USA Department of Cell Biology New York University Grossman School of MedicineNewYorkNY10016USA

Post-translational modifications(PTMs)play a critical role in bone remodeling,with phosphorylation and acetylation being particularly well characterized.Recently,succinylation,a relatively uncommon PTM on lysine,has received considerable research attention for its influence on several physiological and pathological processes and conditions.1 Several substrates involved in mitochondrial pathways have been validated as substrates for the desuccinylase sirtuin 5(Sirt5),a key regulator of succinylation.2 Bone is one of the most metabolically active organs,but the role of succinylation during bone remodeling is not well characterized.

关键词： remodeling organs media

Differential metabolite analysis of the pharmacodynamic differences between different ratios of Dahuang(Radix Et Rhizoma Rhei Palmati)-Taoren(Semen Persicae) herb pair

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Journal of Traditional Chinese Medicine 2024年第3期44卷 515-523页

作者： wang Xiang HUANG Jianping wang Yupeng wang Qilong jing Yajiang ZHANG Gang PENG Liang GAO jing wang Hongyan YAN Yonggang Department of Key Laboratory of "Qin Pharmaceutical" Research and Development Shaanxi University of Traditional Chinese Medicine Department of Yupeng Shaanxi Haitian Pharmaceutical Co. Ltd. Department of Acupuncture and Tuina Shaanxi University of Traditional Chinese Medicine

OBJECTIVE: To explore the material basis of the difference of efficacy of Dahuang(Radix Et Rhizoma Rhei Palmati)-Taoren(Semen Persicae)(DT) drugs with different proportions. METHODS: Samples of different ratios of Dahuang(Radix et Rhizoma Rhei Palnati, DH) to Taoren(Semen Persicae, TR)(Group A 1∶1, B 2∶3, C 3∶2) were analyzed based on gas chromatography time-of-flight mass spectrometry untargeted metabolomics technique. RESULTS: A total of 240 primary metabolites were detected. Forty-one differential metabolites involved nine differential metabolic pathways, of which four were closely related to the efficacy of DT in the treatment of heat and blood stasis syndrome. These pathways included the biosynthesis of amino acid(phenylalanine tyrosine and tryptophan), flavonoids, unsaturated fatty acids, and the glycolysis/glycogenesis pathway. CONCLUSION: There are significant differences in the efficacy of different ratios of DT drugs, and their optimal ratio for the treatment of heat and blood stasis syndrome should be 1∶1.

关键词： Dahuang () Taoren () differential metabolites kernel drug pairs metabolic networks and pathways metabolomics

Emerging roles of exosomes in oral diseases progression

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International Journal of Oral Science 2024年第1期16卷 36-51页

作者： Jiayi wang Junjun jing Chenchen Zhou Yi Fan State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&Department of Cariology and Endodontics West China Hospital of StomatologySichuan UniversityChengduChina State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&West China Hospital of Stomatology Sichuan UniversityChengduChina State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&Department of Pediatric Dentistry West China Hospital of StomatologySichuan UniversityChengduChina

Oral diseases, such as periodontitis, salivary gland diseases, and oral cancers, significantly challenge health conditions due to their detrimental effects on patient's digestive functions, pronunciation, and esthetic demands. Delayed diagnosis and non-targeted treatment profoundly influence patients' prognosis and quality of life. The exploration of innovative approaches for early detection and precise treatment represents a promising frontier in oral medicine.

关键词： diseases diagnosis salivary

Animal models of eosinophilic esophagitis,review and perspectives

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Animal Models and Experimental Medicine 2024年第2期7卷 127-135页

作者： Dong Li Yujia Wei jing wang Bo wang Department of Dermatology Huazhong University of Science and Technology Tongji Medical College Tongji HospitalWuhanChina Health Management Center Huazhong University of Science and Technology Tongji Medical College Tongji HospitalWuhanChina Department of Gastroenterology Huazhong University of Science and Technology Tongji Medical College Tongji HospitalWuhanChina

Eosinophilic oesophagitis(EoE)is an allergen/immune-mediated chronic esophageal disease characterized by esophageal mucosal eosinophilic infiltration and esophageal dysfunction.Although the disease was originally attributed to a delayed allergic reaction to allergens and a Th2-type immune response,the exact pathogenesis is complex,and the efficacy of existing treatments is unsatisfactory.Therefore,the study of the pathophysiological process of EOE has received increasing attention.Animal models have been used extensively to study the molecular mechanism of EOE pathogenesis and also provide a preclinical platform for human clinical intervention studies of novel therapeutic agents.To maximize the use of existing animal models of EOE,it is important to understand the advantages or limitations of each modeling approach.This paper systematically describes the selection of experimental animals,types of allergens,and methods of sensitization and excitation during the preparation of animal models of EoE.It also discusses the utility and shortcomings of each model with the aim of providing the latest perspectives on EoE models and leading to better choices of animal models.

关键词： anaphylaxis disease models animal eosinophilic esophagitis methods

MiR-142-3p Regulates ILC1s by Targeting HMGB1 via the NF-κB Pathway in a Mouse Model of Early Pregnancy Loss

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Current Medical Science 2024年第1期44卷 195-211页

作者： Xiang-li PANG Jie LI jing wang Si-si YAN jing YANG Department of Obstetrics and Gynecology Renmin Hospital of Wuhan UniversityWuhan 430060China Reproductive Medical Center Renmin Hospital of Wuhan UniversityWuhan 430060China Clinic Research Center for Assisted Reproductive Technology and Embryonic Development in Hubei Province Wuhan 430060China

Objective Innate lymphoid cells(ILCs)are a class of newly discovered immunocytes.Group 1 ILCs(ILC1s)are identified in the decidua of humans and mice.High mobility group box 1(HMGB1)is predicted to be one of the target genes of miR-142-3p,which is closely related to pregnancy-related diseases.Furthermore,miR-142-3p and HMGB1 are involved in regulating the NF-κB signaling pathway.This study aimed to examine the regulatory effect of miR-142-3p on ILC1s and the underlying mechanism involving HMGB1 and the NF-κB signaling pathway.Methods Mouse models of normal pregnancy and abortion were constructed,and the alterations of ILC1s,miR-142-3p,ILC1 transcription factor(T-bet),and pro-inflammatory cytokines of ILC1s(TNF-α,IFN-γand IL-2)were detected in mice from different groups.The targeting regulation of HMGB1 by miR-142-3p in ILC1s,and the expression of HMGB1 in normal pregnant mice and abortive mice were investigated.In addition,the regulatory effects of miR-142-3p and HMGB1 on ILC1s were detected in vitro by CCK-8,Annexin-V/PI,ELISA,and RT-PCR,respectively.Furthermore,changes of the NF-κB signaling pathway in ILC1s were examined in the different groups.For the in vivo studies,miR-142-3p-Agomir was injected in the uterus of abortive mice to evaluate the abortion rate and alterations of ILC1s at the maternal-fetal interface,and further detect the expression of HMGB1,pro-inflammatory cytokines,and the NF-κB signaling pathway.Results The number of ILC1s was significantly increased,the level of HMGB1 was significantly upregulated,and that of miR-142-3p was considerably downregulated in the abortive mice as compared with the normal pregnant mice(all P<0.05).In addition,miR-142-3p was found to drastically inhibit the activation of the NF-κB signaling pathway(P<0.05).The number of ILC1s and the levels of pro-inflammatory cytokines were significantly downregulated and the activation of the NF-κB signaling pathway was inhibited in the miR-142-3p Agomir group(all P<0.05).Conclusion miR-142-3p can regulate ILC1s by targeting HMGB1

关键词： maternal-fetal interface group 1 innate lymphoid cells(ILCis) high mobility group box 1(HMGB1) miR-142-3p abortion

Development of CONTHAC-3D and hydrogen distribution analysis of HPR1000

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Nuclear Science and Techniques 2024年第2期35卷 210-221页

作者： Hui wang jing-jing Li Yuan Chang Gong-Lin Li Ming Ding China Nuclear Power Engineering Co.LTD. Beijing 100084China Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin 100049China

An in-house code,CONTHAC-3D,was developed to calculate and analyze thermal-hydraulic phenomena in containments during severe accidents.CONTHAC-3D is a three-dimensional computational fluid dynamics code that can be applied to predict gas flow,diffusion,and steam condensation in a containment during a severe hypothetical accident,as well as to obtain an estimate of the local hydrogen concentration in various zones of the containment.CONTHAC-3D was developed using multiple models to simulate the features of the proprietary systems and equipment of HPR1000 and ACP100,such as the passive cooling system,passive autocatalytic recombiners and the passive air cooling system.To validate CONTHAC-3D,a GX6 test was performed at the Battelle Model Containment facility.The hydrogen concentration and temperature monitored by the GX6 test are accurately predicted by CONTHAC-3D.Subsequently,the hydrogen distribution in the HPR1000 containment during a severe accident was studied.The results show that the hydrogen removal rates calculated using CONTHAC-3D for different types of PARs agree well with the theoretical values,with an error of less than 1%.As the accident progresses,the hydrogen concentration in the lower compartment becomes higher than that in the large space,which implies that the lower compartment has a higher hydrogen risk than the dome and large space at a later stage of the accident.The amount of hydrogen removed by the PARs placed on the floor of the compartment is small;therefore,raising the installation height of these recombiners appropriately is recommended.However,we do not recommend installing all autocatalytic recombiners at high positions.The study findings in regard to the hydrogen distribution in the HPR1000 containment indicate that CONTHAC-3D can be applied to the study of hydrogen risk containment.

关键词： Hydrogen risk mitigation Pressurized water reactor HPR1000 Thermal hydraulic CONTHAC-3D

Analog spatiotemporal feature extraction for cognitive radio-frequency sensing with integrated photonics

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Light(Science & Applications) 2024年第3期13卷 478-487页

作者： Shaofu Xu Binshuo Liu Sicheng Yi jing wang Weiwen Zou State Key Laboratory of Advanced Optical Communication Systems and Networks Intelligent Microwave Lightwave Integration Innovation Center(imLic)Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghaiChina

Analog feature extraction(AFE)is an appealing strategy for low-latency and efficient cognitive sensing systems since key features are much sparser than the Nyquist-sampled data.However,applying AFE to broadband radio-frequency(RF)scenarios is challenging due to the bandwidth and programmability bottlenecks of analog electronic circuitry.Here,we introduce a photonics-based scheme that extracts spatiotemporal features from broadband RF signals in the analog domain.The feature extractor structure inspired by convolutional neural networks is implemented on integrated photonic circuits to process RF signals from multiple antennas,extracting valid features from both temporal and spatial dimensions.Because of the tunability of the photonic devices,the photonic spatiotemporal feature extractor is trainable,which enhances the validity of the extracted features.Moreover,a digital-analog-hybrid transfer learning method is proposed for the effective and low-cost training of the photonic feature extractor.To validate our scheme,we demonstrate a radar target recognition task with a 4-GHz instantaneous bandwidth.Experimental results indicate that the photonic analog feature extractor tackles broadband RF signals and reduces the sampling rate of analog-to-digital converters to 1/4 of the Nyquist sampling while maintaining a high target recognition accuracy of 97.5%.Our scheme offers a promising path for exploiting the AFE strategy in the realm of cognitive RF sensing,with the potential to contribute to the efficient signal processing involved in applications such as autonomous driving,robotics,and smart factories.

关键词： scheme driving smart