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Postpartum depression and partner support during the period of lactation:Correlation research and its influencing factors

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World j.urnal of Psychiatry 2024年第1期14卷 119-127页

作者： j.-ming ruan Ling-j.an Wu Department of Obstetrics and Gynecology Huzhou Maternity and Child Health Care HospitalHuzhou 313000Zhejiang ProvinceChina

BACKGROUND Postpartum depression(PPD)not only affects the psychological and physiological aspects of maternal health but can also affect neonatal growth and *** who are in close contact with parturient women play a key role in communication and emotional *** study explores the PPD support relationship with partners and its influencing factors,which is believed to establish psychological well-being and improve maternal partner *** To explore the correlation between PPD and partner support during breastfeeding and its influencing *** Convenience sampling was used to select lactating women(200 women)who underwent postpartum examinations at the Huzhou Maternity and Child Health Care Hospital from j.ly 2022 to December 2022.A cross-sectional survey was conducted on the basic information(general information questionnaire),depression level[edinburgh postnatal depression scale(EPDS)],and partner support score[dyadic coping inventory(DCI)]of the selected ***’s correlation analysis was used to analyze the correlation between PPD and DCI in lactating *** affecting PPD levels during lactation were analyzed using multiple linear *** The total average score of EPDS in 200 lactating women was(9.52±1.53),and the total average score of DCI was(115.78±14.90).Dividing the EPDS,the dimension scores were:emotional loss(1.91±0.52),anxiety(3.84±1.05),and depression(3.76±0.96).Each dimension of the DCI was subdivided into:Pressure communication(26.79±6.71),mutual support(39.76±9.63),negative support(24.97±6.68),agent support(6.87±1.92),and j.int support(17.39±4.19).Pearson’s correlation analysis demonstrated that the total mean score and individual dimension scores of EPDS during breastfeeding were inversely correlated with the total score of partner support,stress communication,mutual support,and cosupport(P<0.05).The total mean score of the EPDS and its dimensions were positively correlated with negative

关键词： Lactation period Puerpera Postpartum depression Partner support Correlation

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Genetic Engineered Ultrasound-Triggered Inj.ctable Hydrogels for Promoting Bone Reconstruction

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Research 2024年第2期2023卷 431-447页

作者： Zhenyu Zhao Huitong ruan Aopan Chen Wei Xiong mingzhu Zhang ming Cai Wenguo Cui Department of Orthopaedics Shanghai Tenth People's HospitalSchool of MedicineTongji University No.301 Middle Yanchang RoadShanghai 200072China Department of Orthopaedics Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint DiseasesShanghai Institute of Traumatology and OrthopaedicsRuijin HospitalShanghai Jiao Tong University Schoolof Medicine197 Rujin 2nd RoadShanghai 200025China Department of Foot and Ankle Surgery Beijing Tongren HospitalCapital Medical University1 Dongjiao MinxiangBeijing 100730China

Genetic engineering technology can achieve specific gene therapy for a variety of diseases, but the current strategy still has some flaws, such as a complex system, single treatment, and large implantation trauma. Herein, the genetic engineering inj.ctable hydrogels were constructed by ultrasonic technology for the first time to realize in vivo ultrasound-triggered in situ cross-linking and cell gene transfection, and finally complete in situ gene therapy to promote bone reconstruction. First, ultrasound-triggered calcium release was used to activate transglutaminase and catalyze the transamidation between fibrinogen. Simultaneously, liposome loaded with Zinc-finger E-box-binding homeobox 1 (ZEB1) gene plasmid (Lip-ZEB1) was combined to construct an ultrasound-triggered in situ cross-linked hydrogels that can deliver Lip-ZEB1. Second, ultrasound-triggered inj.ctable hydrogel introduced ZEB1 gene plasmid into endothelial cell genome through Lip-ZEB1 sustained release, and then acted on the ZEB1/Notch signal pathway of cells, promoting angiogenesis and local bone reconstruction of osteoporosis through genetic engineering. Overall, this strategy provides an advanced gene delivery system through genetic engineered ultrasound-triggered inj.ctable hydrogels.

关键词： sustained release linking

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Inj.ction molding of highly filled microcrystalline cellulose/polycaprolactone composites with the aid of reversible Diels-Alder reaction

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j.urnal of Materials Science & Technology 2024年第3期170卷 246-254页

作者： Ze Pu Wang WenHong ruan MinZhi Rong mingQiu Zhang Key Laboratory for Polymeric Composite and Functional Materials of MOE GD HPPC LabIGCMESchool of ChemistrySun Yat-Sen UniversityGuangzhou 510275China

To tackle the challenge of producing highly filled polymer composites using the traditional inj.ction molding technique,which is characterized by the fairly high melt viscosity that makes mold filling difficult,the authors propose a solution based on dynamic covalent *** demonstrated by the proof-of-concept experiments,the 4-arm starshaped polycaprolactone(PCL)oligomers and microcrystalline cel-lulose(MCC)are crosslinked by the reversible Diels-Alder(DA)*** flowability of the compounds greatly decreases due to the dissociation of the intercomponent DA bonds at the retro-reaction tempera-ture,and the networked architecture is reconstructed during cooling as a result of the forward DA ***,the high-loading MCC fillers are well distributed in the matrix and covalently bonded to the nearby PCL,forming a striking contrast to the control in which linear PCL acts as the *** DA bonds crosslinked biodegradable PCL composites exhibit decent mechanical strength(20.7 MPa)even at the MCC fraction of 65 wt%,which is superior to those(5-12.2 MPa)of the highly filled PCL composites(with filler contents of 50-63.8 wt%)reported so *** proposed approach has sufficient expansibility for the fabrication of the highly filled polymer composites constructed by other types of matrix and fillers.

关键词： Polymer composites Microcrystalline cellulose Polycaprolactone Inj.ction molding Dynamic reversible chemistry

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The characteristics of cerebrospinal fluid tumor microenvironment in a patient with leptomeningeal metastases from cancer of unknown primary

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Genes & Diseases 2024年第3期11卷 39-42页

作者： Haoyu ruan Zhe Wang Xuemei Tang Qiong Zhan Kun Chen Lu Gao ming Guan Department of Laboratory Medicine Huashan HospitalFudan UniversityShanghai 200040China Department of Laboratory Medicine The First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China Department of Physiology Naval Medical UniversityShanghai 200433China Department of Oncology Huashan HospitalFudan UniversityShanghai 200040China

Cancer of unknown primary(CUP)is a rare disease characterized by metastases in which the primary tumor is of unknown *** cerebrospinal fluid(CSF)tumor microenvironment of CUP is still unknown.A Chinese male was diagnosed with leptomeningeal metastases from CUP(CUP-LM)based on the following medical examination results:partial leptomeningeal enhancement by brain magnetic resonance imaging,few malignant cells of diverse morphology in CSF,and no abnormalities or lymphadenopathy by systemic examination.

关键词： metastases cerebrospinal fluid

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Cone-beam computed tomography noise reduction method based on U-Net with convolutional block attention module in proton therapy

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Nuclear Science and Techniques 2024年第7期35卷 89-100页

作者： Xing-Yue ruan Xiu-Fang Li Meng-Ya Guo Mei Chen ming Lv Rui Li Zhi-Ling Chen Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai201800China University of Chinese Academy of Sciences Beijing100049China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai201210China Department of Radiation Oncology Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai200025China Shanghai Key Laboratory of Proton therapy Shanghai201801China

Cone-beam computed tomography(CBCT) is mostly used for position verification during the treatment process. However,severe image artifacts in CBCT hinder its direct use in dose calculation and adaptive radiation therapy re-planning for proton therapy. In this study, an improved U-Net neural network named CBAM-U-Net was proposed for CBCT noise reduction in proton therapy, which is a CBCT denoised U-Net network with convolutional block attention modules. The datasets contained 20 groups of head and neck images. The CT images were registered to CBCT images as ground truth. The original CBCT denoised U-Net network, sCTU-Net, was trained for model performance comparison. The synthetic CT(SCT) images generated by CBAM-U-Net and the original sCTU-Net are called CBAM-SCT and U-Net-SCT images, respectively. The HU accuracies of the CT, CBCT, and SCT images were compared using four metrics: mean absolute error(MAE), root mean square error(RMSE), peak signal-to-noise ratio(PSNR), and structure similarity index measure(SSIM). The mean values of the MAE, RMSE, PSNR, and SSIM of CBAM-SCT images were 23.80 HU, 64.63 HU, 52.27 dB, and 0.9919, respectively,which were superior to those of the U-Net-SCT images. To evaluate dosimetric accuracy, the range accuracy was compared for a single-energy proton beam. The γ-index pass rates of a 4 cm × 4 cm scanned field and simple plan were calculated to compare the effects of the noise reduction capabilities of the original U-Net and CBAM-U-Net on the dose calculation results. CBAM-U-Net reduced noise more effectively than sCTU-Net, particularly in high-density tissues. We proposed a CBAM-U-Net model for CBCT noise reduction in proton therapy. Owing to the excellent noise reduction capabilities of CBAM-U-Net, the proposed model provided relatively explicit information regarding patient tissues. Moreover, it maybe be used in dose calculation and adaptive treatment planning in the future.

关键词： Proton therapy Cone-beam CT CBAM-U-Net γ-index

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Highly Thermally Conductive Polydimethylsiloxane Composites with Controllable 3D GO@f-CNTs Networks via Self-sacrificing Template Method

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Chinese j.urnal of Polymer Science 2024年第7期42卷 897-906,I0005页

作者： Shuang-Shuang Wang Dian-Ying Feng Zhi-ming Zhang Xia Liu Kun-Peng ruan Yong-Qiang Guo j.n-Wei Gu Shaanxi Key Laboratory of Macromolecular Science and Technology School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an710072China Shandong Institute of Nonmetallic Materials Jinan250031China Queen Mary University of London Engineering School Northwestern Polytechnical UniversityXi’an710072China

Constructing controllable thermal conduction networks is the key to efficiently improve thermal conductivities of polymer *** this work,graphite oxide(GO)and functionalized carbon nanotubes(f-CNTs)are combined to prepare“Line-Plane”-like hetero-structured thermally conductive GO@f-CNTs fillers,which are then performed to construct controllable 3D GO@f-CNTs thermal conduction networks via selfsacrificing template method based on oxalic ***,thermally conductive GO@f-CNTs/polydimethylsiloxane(PDMS)composites are fabricated via casting *** the size of oxalic acid is 0.24 mm and the volume fraction of GO@f-CNTs is 60 vol%,GO@f-CNTs/PDMS composites present the optimal thermal conductivity coefficient(λ,4.00 W·m^(-1)·K^(-1)),about 20 times that of theλof neat PDMS(0.20 W·m^(-1)·K^(-1)),also much higher than theλ(2.44 W·m^(-1)·K^(-1))of GO/f-CNTs/PDMS composites with the same amount of randomly dispersed ***,the obtained GO@f-CNTs/PDMS composites have excellent thermal stability,whoseλdeviation is only about 3%after 500 thermal cycles(20-200℃).

关键词： Polydimethylsiloxane Hetero-structured thermally conductive fillers Self-sacrificing template Thermal conduction networks

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Diagnosing health in composite battery electrodes with explainable deep learning and partial charging data

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Energy and AI 2024年第2期16卷 256-268页

作者： Haij.n ruan Niall Kirkaldy Gregory j.Offer Billy Wu Dyson School of Design Engineering Imperial College LondonSW72AZLondonUK Centre for E-Mobility and Clean Growth Research Coventry UniversityCoventryCV15FBUK Department of Mechanical Engineering Imperial College LondonSW72AZLondonUK The Faraday Institution Harwell Science and Innovation CampusOX110RADidcotUK

Lithium-ion batteries with composite anodes of graphite and silicon are increasingly being used. However, their degradation pathways are complicated due to the blended nature of the electrodes, with graphite and silicon degrading at different rates. Here, we develop a deep learning health diagnostic framework to rapidly quantify and separate the different degradation rates of graphite and silicon in composite anodes using partial charging data. The convolutional neural network (CNN), trained with synthetic data, uses experimental partial charging data to diagnose electrode-level health of tested batteries, with errors of less than 3.1% (corresponding to the loss of active material reaching ∼75%). Sensitivity analysis of the capacity-voltage curve under different degradation modes is performed to provide a physically informed voltage window for diagnostics with partial charging data. By using the gradient-weighted class activation mapping approach, we provide explainable insights into how these CNNs work;highlighting regions of the voltage-curve to which they are most sensitive. Robustness is validated by introducing noise to the data, with no significant negative impact on the diagnostic accuracy for noise levels below 10 mV, thus highlighting the potential for deep learning approaches in the diagnostics of lithium-ion battery performance under real-world conditions. The framework presented here can be generalised to other cell formats and chemistries, providing robust and explainable battery diagnostics for both conventional single material electrodes, but also the more challenging composite electrodes.

关键词： Lithium-ion battery Composite electrode Silicon Degradation diagnostic Explainable deep learning Partial charging

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Light-induced stepped thermal relaxation in a Hofmann-type metal-organic framework

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Science China Chemistry 2024年第6期67卷 1983-1989页

作者： Wen Cui Wei-Wei Wu Ze-Yu ruan Yan-Cong Chen Guang-j.n Zeng Guan-Xi Chen Si-Guo Wu Zhao-Ping Ni ming-Liang Tong Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education School of ChemistryInstitute of Green Chemistry and Molecular EngineeringGuangdong Basic Research Center of Excellence for Functional Molecular EngineeringSun Yat-sen UniversityGuangzhou510275China

Spin-crossover(SCO)materials with light-induced multistability have potential applications in multi-addressable opto-magnetic memory devices and multiple ***,we reported a three-dimensional Hofmann-type metal-organic framework(MOF)[Fe(bpy){Pt(CN)_(4)}]·coumarin(1·coumarin,bpy=4,4′-bipyridine),which exhibits an incomplete and hysteretic SCO *** importantly,the light-induced stepped thermal relaxation(LISTR)with obvious magnetic plateau for a hidden intermediate spin state is firstly *** hidden spin state is also observed for the first time in the thermal relaxation after light-assisted spin state annealing(LASSA).Meanwhile,an extremely rare bi-directional light-induced excited spin-state trapping(LIESST)with the highest reverse-LIESST temperature is ***,five spin states can be captured in 1·coumarin and the tristability can be modulated below 102 K through the excitation-relaxation ***,the light-and temperatureinduced multistability provides a new strategy for developing multistable materials.

关键词： light magnetic multistability iron metal-organic framework spin-crossover

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Dissociation cross sections ofψ(3770),ψ(4040),ψ(4160),andψ(4415)mesons with nucleons

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Communications in Theoretical Physics 2024年第4期76卷 93-112页

作者： Ruo-Qing Ding Xiao-ming Xu H j.Weber Department of Physics Shanghai UniversityBaoshanShanghai 200444China Department of Physics University of VirginiaCharlottesvilleVA 22904United States of America

We study the dissociation of ψ(3770), ψ(4040), ψ(4160), and ψ(4415) mesons in collision with nucleons, which takes place in high-energy proton-nucleus collisions. The quark interchange between a nucleon and a ■ meson leads to the dissociation of the ■ meson. We consider the reactions:■, and■, where R stands for ψ(3770), ψ(4040), ψ(4160), or ψ(4415). A reaction of a neutron and a ■ meson corresponds to a reaction of a proton and the ■ meson by replacing the up quark with the down quark and vice versa. Transition-amplitude formulas are derived from the S-matrix *** cross sections are calculated with the transition amplitudes for scattering in the prior form and in the post form. The cross sections relate to nodes in the radial wave functions of ψ(3770), ψ(4040), ψ(4160), and ψ(4415) mesons.

关键词： inelastic nucleon-charmonium scattering quark interchange relativistic constituent quark potential model

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结构间隙对起落架地面滑跑摆振特性影响分析

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振动与冲击 2024年第2期43卷 234-243页

作者：阮爽张明聂宏南京航空航天大学航空学院南京210016 南京航空航天大学航空航天结构力学及控制全国重点实验室南京210016 南京航空航天大学飞行器先进设计技术国防重点学科实验室南京210016

针对两种常见的飞机滑跑状态,即减摆状态和操纵状态,建立多自由度起落架摆振动力学模型,研究间隙对两者的影响机理,得到了两种不同形式的含间隙起落架摆振动力学数学模型。通过非光滑系统光滑化处理以及多维系统数值分析求解。结果表明... 详细信息

针对两种常见的飞机滑跑状态,即减摆状态和操纵状态,建立多自由度起落架摆振动力学模型,研究间隙对两者的影响机理,得到了两种不同形式的含间隙起落架摆振动力学数学模型。通过非光滑系统光滑化处理以及多维系统数值分析求解。结果表明,减摆状态下,起落架摆振频率会略微增大,结构库伦摩擦能够减弱结构间隙引发的持续摆振影响。对于操纵状态,通过快速傅里叶变换进行频域特性分析,发现支柱侧弯以及扭转之间耦合严重,两者的刚度直接决定起落架的摆振频率;存在结构间隙后,起落架整体的频率会变小,最终系统均会逐步趋于稳定的极限环震荡状态。

关键词：起落架摆振结构间隙非线性动力学分岔分析频域分析

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