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Childhood sleep:physical,cognitive,and behavioral consequences and implications

World Journal of Pediatrics 2024年第2期20卷 122-132页

作者： jianghong Liu Xiaopeng Ji Susannah Pitt Guanghai Wang Elizabeth Rovit Terri Lipman fan jiang School of Nursing University of Pennsylvania418 Curie Blvd.Room 424Claire M.Fagin HallPhiladelphiaPA 19104USA College of Health Sciences University of DelawareNewarkDE 19716USA Geisinger Commonwealth School of Medicine ScrantonPA 18510USA Pediatric Translational Medicine Institute Department of Developmental and Behavioral PediatricsSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina

Background Sleep problems in children have been increasingly recognized as a major public health issue.Previous research has extensively studied and presented many risk factors and potential mechanisms for children’s sleep problems.In this paper,we aimed to identify and summarize the consequences and implications of child sleep problems.Data sources A comprehensive search for relevant English language full-text,peer-reviewed publications was performed focusing on pediatric sleep studies from prenatal to childhood and adolescence in a variety of indexes in PubMed,SCOPUS,and Psych Info published in the past two decades.Both relevant data-based articles and systematic reviews are included.Results Many adverse consequences are associated with child sleep deficiency and other sleep problems,including physical outcomes(e.g.,obesity),neurocognitive outcomes(e.g.,memory and attention,intelligence,academic performance),and emotional and behavioral outcomes(e.g.,internalizing/externalizing behaviors,behavioral disorders).Current prevention and intervention approaches to address childhood sleep problems include nutrition,exercise,cognitive–behavioral therapy for insomnia,aromatherapy,acupressure,and mindfulness.These interventions may be particularly important in the context of coronavirus disease 2019.Specific research and policy strategies can target the risk factors of child sleep as well as the efficacy and accessibility of treatments.Conclusions Given the increasing prevalence of child sleep problems,which have been shown to affect children’s physical and neurobehavioral wellbeing,understanding the multi-aspect consequences and intervention programs for childhood sleep is important to inform future research direction as well as a public health practice for sleep screening and intervention,thus improving sleep-related child development and health.

关键词： Behavior Child sleep Consequences Implications Neurocognitive Physical Prevention/intervention

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Developmental Patterns and Gender Differences of Vocal Production in Marmoset Monkeys

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Neuroscience Bulletin 2024年第1期40卷 133-138页

作者： Ruixin An Chaocheng Lu Chen Wang Liangtang Chang Junfeng Huang fan jiang Tian-Le Xu Neng Gong Center for Brain Science Shanghai Children's Medical CenterShanghai Jiao Tong University School of MedicineShanghai 200127China Department of Anatomy and Physiology Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Critical Care Medicine Huashan HospitalFudan University12 Middle Wulumuqi RoadShanghai 200040China Institute of Neuroscience Key Laboratory of Primate NeurobiologyCAS Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China Lingang Laboratory Shanghai 200031China Shanghai Center for Brain Science and Brain-Inspired Technology Shanghai 201210China

Dear Editor,The common marmoset(Callithrix jacchus),a small New World monkey species,is considered an ideal non-human primate model for studying the evolution and neural mechanism of vocal behavior due to their rich call repertoire and vocal communication[1-3].Especially,the early vocal development of marmoset monkeys has attracted much attention,because newborn marmosets have been shown to exhibit a vocal development trajectory.Within two months after birth,marmosets'vocalizations undergo dramatic changes from cries to adult-like mature calls,a process that is influenced not only by inner physical maturation but also by parental care and feedback[4].

关键词： parental birth Pattern

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Analysis on the Effect of Yiqi Huoxue Decoction Combined with Neuromuscular Electrical Stimulation in Improving ICU-Acquired Debility in Mechanically Ventilated Patients

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Journal of Clinical and Nursing Research 2024年第2期8卷 206-211页

作者： fan jiang Jingdezhen Hospital of Traditional Chinese Medicine Jingdezhen 333000Jiangxi ProvinceChina

Objective:To investigate the effect of Yiqi Huoxue decoction combined with neuromuscular electrical stimulation on improving intensive care unit(ICU)acquired debility in mechanically ventilated patients.Methods:50 patients who were admitted to the ICU and received mechanical ventilation treatment in our hospital from June 2022 to June 2023 and were complicated with ICU-acquired neurasthenia were selected,and randomly grouped using the randomized envelope method into two groups:control group with 25 patients who received neuromuscular electrical stimulation alone;observation group with 25 patients who received the traditional Chinese medicine Yiqi Huoxue decoction.Comparison indexes:treatment efficiency,degree of emotional recovery(APACHEⅡscore),muscle strength status(MRC score),motor status(FAC rating),and self-care ability(BI index score).Results:The treatment efficiency of patients in the observation group patients was higher as compared to those in the control group(P0.05).After the treatment,the APACHEⅡscores of patients in the observation group were significantly lower as compared to those in the control group,while the MRC scores,FAC ratings,and BI index scores were higher in the observation group than those of the control group patients(P<0.05).Conclusion:The combined application of Yiqi Huoxue decoction and neuromuscular electrical stimulation in the treatment of patients with ICU-acquired neurasthenia complicated by mechanical ventilation significantly enhanced the clinical efficacy,the patient’s muscle strength,motor status,and ability of self-care.Hence,it has high application value and is worthy to be popularized.

关键词： Yiqi huoxue decoction Neuromuscular electrical stimulation Mechanical ventilation ICU-acquired neurasthenia

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Development and Evaluation of a Promising Biomarker for Diagnosis of Latent and Active Tuberculosis Infection

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Infectious Diseases & Immunity 2024年第1期4卷 10-24页

作者： Cong Peng fan jiang Yinping Liu Yong Xue Peng Cheng Jie Wang Liang Wang Wenping Gong Hebei North University Zhangjiakou 075000Hebei ProvinceChina Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment Senior Department of TuberculosisEighth Medical Center of PLA General HospitalBeijing 100091China Department of Geriatrics Eighth Medical Center of PLA General HospitalBeijing 100091China Section of Health No.94804 Unit of the Chinese People's Liberation ArmyShanghai 200434China

Background:Diagnosing latent tuberculosis(TB)infection(LTBI)and active TB(ATB)is crucial for preventing disease progression and transmission.However,current diagnostic tests have limitations in terms of accuracy and sensitivity,making it challenging to diagnose these different infection states.Therefore,this study intends to develop a promising biomarker for LTBI and ATB diagnosis to overcome the limitations of the current diagnostic tests.Methods:We developed a novelmultiepitope-based diagnostic biomarker(MEBDB)fromLTBI region of differentiation antigens using bioinformatics and immunoinformatics.Immune responses induced byMEBDM were detected using enzyme-linked immunosorbent spot and cytometric bead assays.This study was conducted from April 2022 to December 2022 in the SeniorDepartment of Tuberculosis at the 8thMedical Center of PLA General Hospital,China.Blood samples were collected from participants with ATB,individuals with LTBI,and healthy controls(HCs).The diagnostic efficacy of MEBDB was evaluated using receiver operating characteristic curves.Results:A novel MEBDB,designated as CP19128P,was generated.CP19128P comprises 19 helper T lymphocyte epitopes,12 cytotoxic T lymphocyte epitopes,and 8 B-cell epitopes.In silico simulations demonstrated that CP19128P possesses strong affinity for Toll-like receptors and elicits robust innate and adaptive immune responses.CP19128P generated significantly higher levels of tumor necrosis factor(TNF-α),interleukin 4(IL-4),and IL-10 in ATB patients(n=7)and LTBI(n=8)individuals compared with HCs(n=62)(P<0.001).Moreover,CP19128P-induced specific cytokines could be used to discriminate LTBI and ATB from healthy subjects with high sensitivity and specificity.Combining IL-2 with IL-4 or TNF-α could differentiate LTBI from HCs(the area under the receiver operating characteristic curve[AUC],0.976[95% confidence interval[CI],0.934-1.000]or 0.986[0.956-1.000]),whereas combining IL-4 with IL-17A or TNF-α could differentiate ATB from HCs(AUC,0.887[0.782-0.993]or 0.984[0.958-1.000])

关键词： Tuberculosis Latent tuberculosis infection Active tuberculosis Multiepitope-based diagnostic biomarker Bioinformatics:Immunoinformatics

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A Robust Framework for Multimodal Sentiment Analysis with Noisy Labels Generated from Distributed Data Annotation

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2965-2984页

作者： Kai jiang Bin Cao Jing fan School of Computer Science and Technology Zhejiang University of TechnologyHangzhou310023China

Multimodal sentiment analysis utilizes multimodal data such as text,facial expressions and voice to detect people’s attitudes.With the advent of distributed data collection and annotation,we can easily obtain and share such multimodal data.However,due to professional discrepancies among annotators and lax quality control,noisy labels might be introduced.Recent research suggests that deep neural networks(DNNs)will overfit noisy labels,leading to the poor performance of the DNNs.To address this challenging problem,we present a Multimodal Robust Meta Learning framework(MRML)for multimodal sentiment analysis to resist noisy labels and correlate distinct modalities simultaneously.Specifically,we propose a two-layer fusion net to deeply fuse different modalities and improve the quality of the multimodal data features for label correction and network training.Besides,a multiple meta-learner(label corrector)strategy is proposed to enhance the label correction approach and prevent models from overfitting to noisy labels.We conducted experiments on three popular multimodal datasets to verify the superiority of ourmethod by comparing it with four baselines.

关键词： Distributed data collection multimodal sentiment analysis meta learning learn with noisy labels

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Assembly of peptide nanostructures with controllable sizes

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Nano Research 2024年第1期17卷 151-161页

作者： Dan Cheng fan Jia Yun-Bao jiang Vincent P.Conticello Tao jiang The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005China Department of Chemistry Emory UniversityAtlanta 30033USA

Controlled peptide assembly offers significant promise to develop synthetic supramolecular nanostructures to display material and biological properties that mimic protein assemblies in nature.Despite the progress in forming peptide nanostructures of various morphology,there exists a distinct gap between natural and synthetic assembly systems in terms of size control.Constructing nanostructures with a narrow size distribution that can be tuned over a wide range of length-scales is essential for applications that require precise spacing between objects.This approach provides the opportunity to correlate materials and biological properties of interest with assembly size.In this review,we discuss representative endeavors over the past two decades for design of size-controllable peptide nanostructures using tunable building blocks.Other mechanisms for size control,e.g.,molecular frustration,template-directed peptide assembly,and multi-component peptide co-assembly,will also be discussed.We also demonstrate the applicable scopes of these strategies and suggest potential future avenues for scientific advances in this field.

关键词： peptide assembly controllable size template multi-component

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Bioinspired metal-organic framework nanozyme reinforced with thermosensitive hydrogel for regulating inflammatory responses in Parkinson’s disease

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Nano Research 2024年第2期17卷 858-865页

作者： Xiaowan fan Tao Zhang Xin Ding Yushuo Gu Qing Li Wei jiang Kelong fan Nanozyme Medical Center Academy of Medical ScienceZhengzhou UniversityZhengzhou 450001China Department Central-China Branch of National Center for Cardiovascular DiseasesHean Cardiovascular Disease CenterFuwai Central-China HospitalCentral China Fuwai Hospital of Zhengzhou UniversityZhengzhou 450046China Application Center for Precision Medicine the Second Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China CAS Engineering Laboratory for Nanozyme Key Laboratory of Protein and Peptide PharmaceuticalsInstitute of BiophysicsChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 101408China Department of General Surgery Strategic Support Force Medical CenterBeijing 100101China Department of Anesthesiology Pain and Perioperative MedicineThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China

Parkinson’s disease(PD)is a prevalent neurodegenerative disorder accompanied by movement disorders and neuroinflammatory injury.Anti-inflammatory intervention to regulate oxidative stress in the brain is beneficial for managing PD.However,traditional natural antioxidants have failed to meet the clinical treatment demands due to insufficient activity and sustainability.Herein,Cu-doping zeolite imidazolate framework-8(ZIF-8)nanozyme is designed to simulate Cu/Zn superoxide dismutase(SOD)by biomimetic mineralization.The nanozyme composite is then integrated into thermosensitive hydrogel(poly(lactic-co-glycolic acid)-poly(ethylene glycol)-poly(lactic-co-glycolic acid)(PLGA-PEG-PLGA))to form an effective antioxidant system(Cu-ZIF@Hydrogel).The thermosensitive hydrogel incorporating nanozymes demonstrate distinct viscoelastic properties aimed at enhancing local nanozyme adhesion,prolonging nanozyme retention time,and modulating antioxidant activity,thus significantly improving the bioavailability of nanozymes.At the cellular and animal levels of PD,we find that Cu-ZIF@Hydrogel bypass the blood-brain barrier and efficiently accumulate in the nerve cells.Moreover,the Cu-ZIF@Hydrogel significantly alleviate the PD’s behavioral and pathological symptoms by reducing the neuroinflammatory levels in the lesion site.Therefore,the hydrogel-incorporating nanozyme system holds great potential as a simple and reliable avenue for managing PD.

关键词： bioinspired nanozyme thermosensitive hydrogel Parkinson’s disease oxidative stress neuroinflammatory

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Targeting the adenosine A2A receptor for neuroprotection and cognitive improvement in traumatic brain injury and Parkinson's disease

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Chinese Journal of Traumatology 2024年第3期27卷 125-133页

作者： Yan Zhao Yuan-Guo Zhou jiang-fan Chen Department of Army Occupational Disease State Key Laboratory of TraumaBurns and Combined InjuryResearch Institute of SurgeryDaping HospitalArmy Medical University.Chongqing400042China The Molecular Neuropharmacology Laboratory and the Eye-Brain Research Center The State Key Laboratory of OphthalmologyOptometry and Vision ScienceWenzhou Medical UniversityWenzhou325035Zhejiang ProvinceChina Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou325035Zhejiang ProvinceChina

Adenosine exerts its dual functions of homeostasis and neuromodulation in the brain by acting at mainly 2 G-protein coupled receptors,called A1 and A2A receptors.The adenosine A2A receptor(A2AR)antagonists have been clinically pursued for the last 2 decades,leading to final approval of the istradefylline,an A2AR antagonist,for the treatment of OFF-Parkinson's disease(PD)patients.The approval paves the way to develop novel therapeutic methods for A2AR antagonists to address 2 major unmet medical needs in PD and traumatic brain injury(TBI),namely neuroprotection or improving cognition.In this review,we first consider the evidence for aberrantly increased adenosine signaling in PD and TBI and the sufficiency of the increased A2AR signaling to trigger neurotoxicity and cognitive impairment.We further discuss the increasing preclinical data on the reversal of cognitive deficits in PD and TBI by A2AR antagonists through control of degenerative proteins and synaptotoxicity,and on protection against TBI and PD pathologies by A2AR antagonists through control of neuroinflammation.Moreover,we provide the supporting evidence from multiple human prospective epidemiological studies which revealed an inverse relation between the consumption of caffeine and the risk of developing PD and cognitive decline in aging population and Alzheimer's disease patients.Collectively,the convergence of clinical,epidemiological and experimental evidence supports the validity of A2AR as a new therapeutic target and facilitates the design of A2AR antagonists in clinical trials for disease-modifying and cognitive benefit in PD and TBI patients.

关键词： Receptor,Adenosine A2A Adenosine A2 receptor antagonists Parkinson's disease Brain injuries,traumatic

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Comparison of the hygrothermal performance of two light-framed timber structure buildings under different operation modes

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第1期25卷 18-35页

作者： Wanqing XU Yucong XUE jiang LU Yifan fan Xiaoyu LUO College of Civil Engineering and Architecture Zhejiang UniversityHangzhou310058China International Research Center for Green Building and Low-Carbon City International CampusZhejiang UniversityJiaxing314400China School of Civil Engineering and Architecture Zhejiang University of Science and TechnologyHangzhou310023China

Light-framed timber structure(LTS)buildings have been highly valued in recent years due to their low-carbon characteristics.However,the applicability of the building envelope is closely related to indoor and outdoor conditions.The hot summer and cold winter(HSCW)climate zone in China has high humidity and great temperature variation throughout the year,resulting in distinct outdoor environments in different seasons.The indoor environment is greatly affected by energy-consumption patterns and window-opening habits,which largely depend upon the regulation operations of occupants.All these interrelated factors lead to extremely complex boundary conditions on each side of the building envelope.Whether the structures of LTS buildings are applicable in this climate zone,therefore,needs to be carefully considered.In this study,two LTS buildings with different envelopes were established in Haining,China,situated in the HSCW climate zone,and selected as the study objects.Different operation modes were adopted to create a variety of indoor environments.Under each condition,the processes of heat and moisture transfer within the building envelopes and the indoor environment were monitored and compared.The comparison indicated that the building envelope with high moisture storage and insulation ability maintained a relatively stable indoor environment,especially when the environment changed abruptly.Conversely,if the outdoor environment was equable(e.g.,relative humidity within the range of 30%–60%)or intermittent energy consumption modes were adopted,the building envelope with a low thermal inertia index and weak moisture-buffering ability performed better because it enabled a faster response of the indoor environment to air conditioning.Moreover,a high risk of moisture accumulation between the thermal insulation layer and other materials with a large water vapour transfer resistance factor was also identified,suggesting a higher requirement for the vapour insulation of the envelopes of LTS buildings.

关键词： Light-framed timber structure(LTS)buildings In-situ experiment Typical operation mode Indoor environment Heatand moisture transfer

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PURP: A Scalable System for Predicting Short-Term Urban TrafficFlow Based on License Plate Recognition Data

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Big Data Mining and Analytics 2024年第1期7卷 171-187页

作者： Shan Zhang Qinkai jiang Hao Li Bin Cao Jing fan School of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310000China

Accurate and efficient urban traffic flow prediction can help drivers identify road traffic conditions in real-time,consequently helping them avoid congestion and accidents to a certain extent.However,the existing methods for real-time urban traffic flow prediction focus on improving the model prediction accuracy or efficiency while ignoring the training efficiency,which results in a prediction system that lacks the scalability to integrate real-time traffic flow into the training procedure.To conduct accurate and real-time urban traffic flow prediction while considering the latest historical data and avoiding time-consuming online retraining,herein,we propose a scalable system for Predicting short-term URban traffic flow in real-time based on license Plate recognition data(PURP).First,to ensure prediction accuracy,PURP constructs the spatio-temporal contexts of traffic flow prediction from License Plate Recognition(LPR)data as effective characteristics.Subsequently,to utilize the recent data without retraining the model online,PURP uses the nonparametric method k-Nearest Neighbor(namely KNN)as the prediction framework because the KNN can efficiently identify the top-k most similar spatio-temporal contexts and make predictions based on these contexts without time-consuming model retraining online.The experimental results show that PURP retains strong prediction efficiency as the prediction period increases.

关键词： traffic flow prediction k-Nearest Neighbor(KNN) License Plate Recognition(LPR)data spatio-temporalcontext

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