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Changes in foliar carbon isotope composition and seasonal stomatal conductance reveal adaptive traits in Mediterranean coppices affected by drought

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Journal of Forestry Research 2014年第4期25卷 839-845页

作者： Giovanni Di Matteo Luigi Perini Paolo Atzori Paolo De Angelis tiziano mei Giada Bertini Gianfranco Fabbio Giuseppe Scarascia Mugnozza Consiglio per la Ricerca e la sperimentazione in Agricoltura Research Unit for Climatology and Meteorology applied to Agriculture CRACMA I-00186 Rome Italy University of Viterbo Department for Innovation in Biological Agrofood and Forest systems DIBAF I-01100 Viterbo Italy Ente Foreste della Sardegna Servizio Territoriale di Cagliari Viale Luigi Merello 86 I-09123 Cagliari Italy Consiglio per la Ricerca e la sperimentazione in Agricoltura Forestry Research Centre CRA-SEL I-52100 Arezzo Italy

We estimated water-use efficiency and potential photosyn- thetic assimilation of Holm oak （Quercus ilex L.） on slopes of NW and SW aspects in a replicated field test examining the effects of intensifying drought in two Mediterranean coppice forests. We used standard tech- niques for quantifying gas exchange and carbon isotopes in leaves and analyzed total chlorophyll, carotenoids and nitrogen in leaves collected from Mediterranean forests managed under the coppice system. We pos- tulated that responses to drought of coppiced trees would lead to differ- ential responses in physiological traits and that these traits could be used by foresters to adapt to predicted warming and drying in the Mediterra- nean area. We observed physiological responses of the eoppiced trees that suggested acclimation in photosynthetic potential and water-use effi- ciency：（1） a significant reduction in stomatal conductance （p〈0.01） wasrecorded as the drought increased at the SW site; （2） foliar 813C increased as drought increased at the SW site （p〈0.01）; （3） variations in levels of carotenoids and foliar nitrogen, and differences in foliar morphology were recorded, and were tentatively attributed to variation in photosyn- thetic assimilation between sites. These findings increase knowledge of the capacity for acclimation of managed forests in the Mediterranean region of Europe.

关键词： Mediterranean forest ecosystems forest acclimation stableisotopes, leaf gas exchanges water-use efficiency foliar traits adaptivesilviculture.

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Microstructural evolution during the progressive transformation-induced plasticity effect in a Fe-0.1C-5Mnmedium manganese steel

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 369-379页

作者： mei Zhang Wenhao Li Yangfei Chen Yang Jiang Xiaofei Guo Han Dong School of Materials Science and Engineering Shanghai UniversityShanghai 200444China State Key Laboratory of Advanced Special Steel Shanghai UniversityShanghai 200444China

The microstructural evolution of a cold-rolled and intercritical annealed medium-Mn steel(Fe-0.10C-5Mn)was investigated during uniaxial tensile ***-situ observations under scanning electron microscopy,transmission electron microscopy,and X-ray diffraction analysis were conducted to characterize the progressive transformation-induced plasticity process and associated fracture initiation *** findings were discussed with the local strain measurements via digital image *** results indicated that Lüders band formation in the steel was limited to 1.5%strain,which was mainly due to the early-stage martensitic phase transformation of a very small amount of the less stable large-sized retained austenite(RA),which led to localized stress concentrations and strain hardening and further retardation of *** small-sized RA exhibited high stability and progressively transformed into martensite and contributed to a stably extended Portevin-Le Chatelier *** volume fraction of RA gradually decreased from 26.8%to 8.2%prior to *** the late deformation stage,fracture initiation primarily occurred at the austenite/martensite and ferrite/martensite interfaces and the ferrite phase.

关键词： medium-Mn steel retained austenite progressive transformation-induced plasticity effect local strain fracture initiation

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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

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Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

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Neural Regeneration Research 2025年第1期20卷 159-173页

作者： Man Han Deyang Zeng Wei Tan Xingxing Chen Shuyuan Bai Qiong Wu Yushan Chen Zhen Wei Yufei mei Yan Zeng Brain Science and Advanced Technology Institute Wuhan University of Science and TechnologyWuhanHubei ProvinceChina Geriatric Hospital Affiliated to Wuhan University of Science and Technology WuhanHubei ProvinceChina School of Public Health Wuhan University of Science and TechnologyWuhanHubei ProvinceChina

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral *** studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly involving the corticolimbic system,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amygdala,and *** how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress *** this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of *** focused on associated molecular pathways and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomyosin receptor kinase B signaling pathway and the ventral tegmental area–nucleus accumbens dopamine *** determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature,severity,and duration of stress,especially in the above-mentioned brain regions of the corticolimbic ***,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

关键词： amygdala chronic mild stress chronic social defeat stress corticolimbic system depression hippocampus medial prefrontal cortex nucleus accumbens social stress models ventral tegmental area

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Clinical value of combining epirubicin with mindfulness intervention in patients with urinary system tumors and depression

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World Journal of Psychiatry 2025年第1期15卷 54-62页

作者： Juan Liu Yan-Ping Guo Yan-mei Lu Bei-Lin Wang Department of Urology Surgery Zhumadian Central HospitalZhumadian 463000Henan ProvinceChina Department of Psychiatry Zhumadian Mental HospitalZhumadian 463000Henan ProvinceChina

BACKGROUND Urinary system tumors often cause negative psychological symptoms,such as depression and dysphoria which significantly impact immune function and indirectly affect cancer *** epirubicin(EPI)is recommended by the European Association of Urology and can improve prognosis,its long-term use can cause toxic side effects,reduce treatment compliance,and increase psycho-logical ***,an appropriate intervention mode is *** This was a retrospective study including 110 patients with urinary system tumors and depression admitted to Zhumadian Central Hospital between March 2021 and July *** were divided into conventional(n=55)and joint inter-vention(n=55)*** conventional group received mitomycin and routine nursing,while the joint intervention group received EPI and mindfulness *** groups underwent three cycles of *** function(CD4+cells,CD8+cells,CD4+/CD8+ratio),tumor marker levels[urinary bladder cancer antigen(UBC),bladder tumor antigen(BTA)and nuclear matrix protein 22(NMP22)],quality of life questionnaire-core 30(QLQ-C30),17-item Hamilton depression scale(HAMD-17),and cancer-related fatigue[cancer fatigue scale(CFS)]were *** reactions and nursing satisfaction were recorded and *** Post-intervention,CD4+,CD8+,and CD4+/CD8+levels increased in both groups,with the joint intervention group showing more significant improvement(P<0.05).Tumor marker levels(NMP22,BTA,and UBC)were lower in the joint intervention group compared to the conventional group(P<0.05).The joint intervention group also showed a greater reduction in HAMD-17 scores(9.38±3.12 vs 15.45±4.86,P<0.05),higher QLQ-C30 scores,and lower CFS scores(both P<0.05).Additionally,the joint intervention group had a lower incidence of adverse reactions and higher nursing satisfaction(P<0.05).CONCLUSION EPI combined with mindfulness intervention significantly improved clinical outcomes in patients with urinar

关键词： Urinary system tumor Bladder cancer Prostate cancer Depression Epirubicin

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Recent progress in the applications of presynaptic dopaminergic positron emission tomography imaging in parkinsonism

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Neural Regeneration Research 2025年第1期20卷 93-106页

作者： Yujie Yang Xinyi Li Jiaying Lu Jingjie Ge Mingjia Chen Ruixin Yao mei Tian Jian Wang Fengtao Liu Chuantao Zuo Key Laboratory of Arrhythmias Ministry of EducationDepartment of Medical GeneticsShanghai East HospitalSchool of MedicineTongji UniversityShanghaiChina Department of Neurology National Research Center for Aging and MedicineNational Center for Neurological Disordersand State Key Laboratory of Medical NeurobiologyHuashan HospitalFudan UniversityShanghaiChina Department of Nuclear Medicine&PET Center National Center for Neurological Disordersand National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina International Human Phenome Institutes(Shanghai) ShanghaiChina Human Phenome Institute Fudan UniversityShanghaiChina

Nowadays,presynaptic dopaminergic positron emission tomography,which assesses deficiencies in dopamine synthesis,storage,and transport,is widely utilized for early diagnosis and differential diagnosis of *** review provides a comprehensive summary of the latest developments in the application of presynaptic dopaminergic positron emission tomography imaging in disorders that manifest *** conducted a thorough literature search using reputable databases such as PubMed and Web of *** criteria involved identifying peer-reviewed articles published within the last 5 years,with emphasis on their relevance to clinical *** findings from these studies highlight that presynaptic dopaminergic positron emission tomography has demonstrated potential not only in diagnosing and differentiating various Parkinsonian conditions but also in assessing disease severity and predicting ***,when employed in conjunction with other imaging modalities and advanced analytical methods,presynaptic dopaminergic positron emission tomography has been validated as a reliable in vivo *** validation extends to screening and exploring potential neuropathological mechanisms associated with dopaminergic *** summary,the insights gained from interpreting these studies are crucial for enhancing the effectiveness of preclinical investigations and clinical trials,ultimately advancing toward the goals of neuroregeneration in parkinsonian disorders.

关键词： aromatic amino acid decarboxylase brain imaging dopamine transporter Parkinson’s disease parkinsonism positron emission tomography presynaptic dopaminergic function vesicle monoamine transporter type 2

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Laser direct writing of flexible multifunctional airflow sensors on the Kevlar fabric

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Nano Research 2025年第1期18卷 443-454页

作者： Wei Wang Zi-Qing Chen Yong-Qi Li Yu-Long Wang mei-Chen Liu Yun-Bo Ruan Yang Zhang Shu-Juan Liu Qiang Zhao College of Electronic and Optical Engineering and College of Flexible Electronics(Future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors Institute of Advanced Materials(IAM)Nanjing University of Posts and TelecommunicationsNanjing 210023China Zhe Jiang Topsun Logistic Control CO. LTD.Yuhuan 317600China Department of Rehabilitation Medicine School of Acupuncture-Moxibustion and Tuina and School of Health Preservation and RehabilitationNanjing University of Chinese MedicineNanjing 210023China

The growing interest in flexible devices has emerged as a global trend due to their advantages in flexibility,lightweight structure,and wearability,addressing the limitations of traditional *** wearable airflow sensors have been previously reported,the development of flexible fabric-based airflow sensors capable of functioning in environments with open flames—critical for fire rescue operations—has yet to be explored,largely due to the poor fire resistance of conventional *** this work,we first present a flexible,wearable,and multifunctional airflow sensor with excellent fire-resistant properties,fabricated through a simple direct laser writing *** sensor maintains airflow detection capabilities even in the presence of open ***,the fabrication of fabric-based sensors involves complex procedures such as carbon materials doping or vapor-phase deposition,leading to lengthy preparation cycles and high ***,fabric-based devices are inherently prone to *** address these challenges,we introduce twice-vertical laser-induced graphene(TVLIG)as a sensitive and reliable component for fire-resistant airflow *** resulting TVLIG/Kevlar fabric can be integrated into various garments,particularly protective suits,to form sensitive and fire-resistant airflow sensors capable of detecting airflow velocity and direction in both two-dimensional(2D)and three-dimensional(3D)spaces during fire ***,the TVLIG patterns can be expanded to multifunctional platforms,such as glucose detection for injured individuals,offering further applications in rescue *** functional expansion reduces the burden on rescue personnel and streamlines device *** its outstanding sensing capabilities,fire resistance,and expandability,the developed flexible airflow sensor shows great potential for various real-world rescue scenarios,promising advancements in wearable sensing technology for rescue enginee

关键词： flexible airflow sensor direct laser writing twice-vertical laser-induced graphene fire accident rescue Kevlar fabric

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多力场耦合条件下T型圆管通道内流体热混合机理研究

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西安交通大学学报 2025年第1期59卷 78-92页

作者：李桉琦苏博林梅王秋旺西安交通大学能源与动力工程学院西安710049

针对海洋动力平台和船舶动力装置中T型圆管通道内冷热流体间的热混合机理尚不清楚的问题,利用大涡模拟方法,对不同支管布置方式高温高压工况下(运行压力为10 MPa,进口流体温差为275 K,摇摆雷诺数为41 500)的多力场耦合T型圆管通道内流... 详细信息

针对海洋动力平台和船舶动力装置中T型圆管通道内冷热流体间的热混合机理尚不清楚的问题,利用大涡模拟方法,对不同支管布置方式高温高压工况下(运行压力为10 MPa,进口流体温差为275 K,摇摆雷诺数为41 500)的多力场耦合T型圆管通道内流体热混合机理进行数值研究。利用提出的混合系数定量评价了不同布置方式下T型圆管通道内流体混合效果,利用均方根温度定量评价了不同布置方式下T型圆管通道管壁处温度脉动情况。结果表明:剪切层和尾迹区内涡结构与温度场存在时间和空间上的协同机制,且涡脱落频率和温度脉动频率基本相同,脱落频率为19.3 Hz;附加惯性力引起T型圆管通道内涡结构和温度场在时间和空间上周期性变化,加速了流体混合过程,削弱了浮升力和重力引起的热分层现象,同时增大了流体域内温度波动,长度约为10.2 D(D为主管内径);与对应的静止工况相比,支管竖直向上、水平和竖直向下布置时,摇摆条件下混合系数分别增大了10.8%、18.3%和27.8%;摇摆条件竖直向下布置时,管壁处温度均方根峰值最大为0.16,约为静止工况的2倍。因此,支管竖直向上布置时,热混合效果最好,热分层现象最弱,在实际应用中应被优先考虑。

关键词： T型圆管通道浮升力摇摆条件热混合机理大涡模拟

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新质人才需求背景下学校教育供给变革研究

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教学与管理 2025年第1期 15-18页

作者：孟志远李永梅曲阜师范大学教育学院山东曲阜273165

新质生产力的蓬勃发展呼唤新质人才并为其培养提供了重要的时域与场域,面向新质人才需求的学校教育供给变革成为教育的基础性命题。当前面向新质人才需求的学校供给变革存在“传统型”供给主体与“新质型”主体需求、“标准化”供给内... 详细信息

新质生产力的蓬勃发展呼唤新质人才并为其培养提供了重要的时域与场域,面向新质人才需求的学校教育供给变革成为教育的基础性命题。当前面向新质人才需求的学校供给变革存在“传统型”供给主体与“新质型”主体需求、“标准化”供给内容与“个性化”内容需求、“统一性”供给方式与“数智化”方式需求之间的矛盾。鉴于此,提出面向新质人才需求的学校教育供给遵循从“人类教师主体”到“人机智能联合主体”、从“统一与他主内容”到“开放与自主内容”、从“前置性预设方式”到“发展性按需方式”的变革理路,以期为学校教育供给变革与新质人才培养提供一定的理论借鉴和实践启示。

关键词：学校教育供给变革新质人才需求新质生产力新质人才培养

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A framework combines supervised learning and dense subgraphs discovery to predict protein complexes

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Frontiers of Computer Science 2022年第1期16卷 173-186页

作者： Suyu mei Software College Shenyang Normal UniversityShenyang110034China

Rapidly identifying protein complexes is significant to elucidate the mechanisms of macromolecular interactions and to further investigate the overlapping clinical manifestations of *** date,existing computational methods majorly focus on developing unsupervised graph clustering algorithms,sometimes in combination with prior biological insights,to detect protein complexes from protein-protein interaction(PPI)***,the outputs of these methods are potentially structural or functional modules within PPI *** modules do not necessarily correspond to the actual protein complexes that are formed via spatiotemporal aggregation of *** this study,we propose a computational framework that combines supervised learning and dense subgraphs discovery to predict protein *** proposed framework consists of two *** first step reconstructs genome-scale protein co-complex networks via training a supervised learning model of l2-regularized logistic regression on experimentally derived co-complexed protein pairs;and the second step infers hierarchical and balanced clusters as complexes from the co-complex networks via effective but computationally intensive k-clique graph clustering method or efficient maximum modularity clustering(MMC)*** studies of cross validation and independent test show that both steps achieve encouraging *** proposed framework is fundamentally novel and excels over existing methods in that the complexes inferred from protein co-complex networks are more biologically relevant than those inferred from PPI networks,providing a new avenue for identifying novel protein complexes.

关键词： protein complexes protein co-complex networks machine learning L2-regularized logistic regression graph clustering

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