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Wetland and habitat dynamics in the evolving landscape of the Middle Yangtze River Basin

Journal of Geographical Sciences 2025年第1期35卷 88-111页

作者： YANG Peng SUN Kaiya ZHU Yanchao XIA Jun huang Heqing SONG Jingxia SHI Xiaorui LU Xixi Hubei Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information Engineering China University of Geosciences Department of Geography National University of Singapore State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University

Wetlands play a critical role in the global environment. The Middle Yangtze River Basin(MYRB), known for its abundant wetland resources, has experienced notable changes resulting from the complex interplay of environmental factors. Therefore, we investigated the spatiotemporal characteristics of wetland ecological quality in the MYRB from 2001 to *** the random forest(RF) regression algorithm and patch-generated land-use simulation(PLUS) model, we forecasted variations in wetland habitat quality and their determinants under the Shared Socioeconomic Pathway-Representative Concentration Pathway(SSPRCP) framework from 2035 to 2095. The main findings are as follows:(1) The RF algorithm was optimal for land-use and land-cover(LULC) classification in the MYRB from 2001 to 2020,when notable changes were observed in water bodies and buildings. However, the forested area exhibited an increase and decrease of 3.9% and 1.2% under the SSP1-2.6 and SSP5-8.5 scenarios, respectively, whereas farmland exhibited a diminishing trend.(2) Wetlands were primarily concentrated in the central and eastern MYRB, with counties in the southwest exhibiting superior ecological-environmental quality from 2001 to 2020. Notably,wetland coverage revealed significantly high level, significant changes, frequent but relatively minor changes under the SSP1-2.6, SSP2-4.5, and SSP 5-8.5 scenarios, respectively.(3)Regions with lower habitat quality were primarily concentrated in urbanized areas characterized by frequent human activities, indicating a clear degradation in habitat quality across different scenarios. In conclusion, we established a foundational framework for future investigations into the eco-hydrological processes and ecosystem quality of watersheds.

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Optimizing hardware-software co-design based on non-ideality in memristor crossbars for in-memory computing

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Science China(Information Sciences) 2025年

作者： Pinfeng JIANG Danzhe SONG Menghua huang Fan YANG Letian WANG Pan LIU Xiangshui MIAO Xingsheng WANG School of Integrated Circuits Huazhong University of Science and Technology Hubei Yangtze Memory Labs

The memristor crossbar, with its exceptionally high storage density and parallelism, enables efficient vector matrix multiplication (VMM), significantly improving data throughput and computational efficiency. However, its analog computing is vulnerable to issues like IR-drop, device-to-device (D2D) variation, and stuck-at-fault (SAF), leading to a substantial decrease in the inference accuracy of neural networks deployed on crossbars. This work presents a hardware-software co-design approach tailored to deal with memristor crossbar non-ideality. We introduce an end-to-end functional array simulator (FAST) for precise and ultra fast end-to-end training, mapping, and evaluation of neural networks on the memristor crossbar. Utilizing the sparsity of the memristor crossbar coefficient matrix, it achieves simulation with low storage and computational resource requirements,dynamically selecting the optimal solution to complete the process. It can also precisely simulate the impact of non-ideal effects such as IR-drop, retention, variation, SAF, and AD/DA precision. Using FAST, we assess memristor crossbar matrix operations under non-ideal conditions, identifying the max throughput and the most energy-efficient crossbar configurations. Additionally,we propose a comparator-based activation function modulation (CAFM) scheme and its corresponding hardware architecture with programmable activation function circuits to address the IR-drop issue, enabling low power and area overheads, resulting in the recovery of neural network accuracy by 54%or more. This is validated within FAST, demonstrating the success of our hardware-software optimization co-design.

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Mitigating methodology of hardware non-ideal characteristics for non-volatile memory based neural networks

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Science China(Information Sciences) 2025年

作者： Lixia HAN Peng huang Yijiao WANG Zheng ZHOU Haozhang YANG Yiyang CHEN Xiaoyan LIU Jinfeng KANG School of Integrated Circuits Peking University Beijing Advanced Innovation Center for Integrated Circuits School of Integrated Circuit Science and Engineering Beihang University

Non-volatile memory-based computing-in-memory (nvCIM) paradigm has been extensively studied to boost the energy efficiency of neural network accelerators in edge ***,the degradation of inference accuracy induced by the non-ideal characteristics across circuits,arrays,and devices is becoming a crucial *** this work,we establish a hardware characteristic behavior model to analyze the impact of nvCIM non-ideal characteristics on neural network *** we propose a hardware aware training and weight mapping correction methods to mitigate inference accuracy *** simulation verification,about 95%inference accuracy degradation is recovered by adopting the proposed mitigation method for various non-ideal characteristics and various neural network *** feasibility of the proposed method is further proved in an experimental example with a flash-based LeNet recognition system.

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考虑地震强度不确定性的车站韧性评估方法

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岩土工程学报 2025年第1期47卷 164-172页

作者：张陈龙张东明黄忠凯黄宏伟同济大学地下建筑与工程系上海200092 同济大学岩土及地下工程教育部重点实验室上海200092

地铁车站作为地下交通的枢纽,是社会经济交流和人员交往的重要组成部分,但其同时也面临着诸多灾害风险。以前包括地震在内的灾害,会对地下交通网络造成严重后果,也对城市功能造成重大损失。因此,地铁车站等关键交通枢纽的韧性评估对于... 详细信息

地铁车站作为地下交通的枢纽,是社会经济交流和人员交往的重要组成部分,但其同时也面临着诸多灾害风险。以前包括地震在内的灾害,会对地下交通网络造成严重后果,也对城市功能造成重大损失。因此,地铁车站等关键交通枢纽的韧性评估对于提高城市安全性和维护其功能至关重要。提供了一个考虑地震强度不确定性的综合韧性评估框架,用于评估浅埋地铁车站在地震灾害下的鲁棒性和快速恢复能力。该框架方法利用有限元软件,建立相关地铁车站数值模型;然后,通过所选择的地震动展开大量数值分析,以便生成关于峰值地面加速度(PGA)的地铁车站易损性函数;接着利用蒙特卡洛模拟进一步量化地震动强度不确定性,并最终确定车站在各个损伤阶段的概率。最终,通过联立地铁车站损伤概率与经济损失关系,考虑地铁车站的恢复路径和可恢复性,完成韧性评估。本研究通过该韧性评估框架和所计算出的韧性指标R,评价和讨论了性能恢复模型和场地条件对车站抗震韧性的影响。这项工作可以帮助地铁网络基于韧性的设计和管理,以支持对地震灾害的适应,从而促进相关决策者关于资源的有效分配。

关键词：地铁车站地震韧性地震易损性地震动不确定性恢复模型

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Thermally triggered topological polymerization in diacetylene-functionalized covalent organic framework toward enhanced memristive properties

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Science China Chemistry 2025年

作者： Panke Zhou Yuxing huang Ziyue Yu Cong Zhang Qian Chen Yiping Li Chao Lin Xiong Chen State Key Laboratory of Photocatalysis on Energy and Environment Key Laboratory of Advanced Carbon-Based Functional MaterialsCollege of Chemistry Fuzhou University

The development of stimuli-responsive switching memory devices and the elucidation of their switching mechanisms in specific environments are crucial for advancing the field of molecular electronics. Herein, we propose two distinct two-dimensional covalent organic frameworks (COFs), namely Py-EDA and Py-BDA, incorporating acetylene (-C≡C-) or diacetylene(-C≡C-C≡C-) moieties, respectively, targeting fabricate memory devices exhibiting stimuli-responsive switching *** findings demonstrate that the incorporation of acetylene units effectively modulates the electronic band structure and enhances the degree ofπ-conjugation, resulting in devices that exhibit typical bipolar nonvolatile memory performance. Notably,upon thermal treatment, the memory behavior of the ITO/Py-BDA/Ag device transitions to a write-once-read-many-times(WORM) mode, displaying decreased SET voltage, increased ON/OFF current ratio, and remarkable retention reliability and cycle stability. This switching behavior is attributed to the occurrence of interlayer solid-state topological polymerization at 350℃, leading to the transformation of diacetylene columnar arrays into enyne chains within Py-BDA, thereby further promoting interlayer charge transfer and separation.

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DCaT:面向高分辨率场景的轻量级语义分割模型

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计算机工程与应用 2025年第1期61卷 252-262页

作者：黄科迪黄鹤鸣李伟樊永红青海师范大学计算机学院西宁810008 藏语智能信息处理及应用国家重点实验西宁810008

语义分割是计算机视觉中分析和理解场景的关键任务,但现有的分割模型需要较高的计算成本和内存需求,不适合高分辨率场景的轻量级语义分割。针对该问题,提出了一种新的面向高分辨率场景的轻量级语义分割模型DCaT。采用深度可分离卷积提... 详细信息

语义分割是计算机视觉中分析和理解场景的关键任务,但现有的分割模型需要较高的计算成本和内存需求,不适合高分辨率场景的轻量级语义分割。针对该问题,提出了一种新的面向高分辨率场景的轻量级语义分割模型DCaT。采用深度可分离卷积提取图像的局部语义;使用基于坐标感知和动态稀疏混合注意力的轻量级Transformer获取图像的全局语义;通过模块融合,在低级语义上注入高级语义;通过分割头输出像素预测标签。实验结果表明:与基线模型相比,DCaT在高分辨率数据集Cityscapes上的平均交并比提高了1.5个百分点,模型复杂度降低了26%,推理速度提升了12%。实现了高分辨率场景下模型复杂度与性能之间的更好平衡,证明了DCaT的有效性和实用性。

关键词：语义分割轻量化高分辨率 Transformer 稀疏注意力

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绿色金融是否提高了地方政府对数字经济的注意力?--基于政策文本分析

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生态经济 2025年第1期41卷 106-113,131页

作者：黄平贵州商学院经济与金融学院贵州贵阳550000

在有限理性决策者的注意力稀缺性理论下,地方政策的变化取决于地方政府注意力的变动。反之,地方政府注意力是否取决于其他相关政策的变化?论文挖掘2019—2021年我国30个省级地方政府政策文本数据,用文本中词频反映地方政府在数字经济倾... 详细信息

在有限理性决策者的注意力稀缺性理论下,地方政策的变化取决于地方政府注意力的变动。反之,地方政府注意力是否取决于其他相关政策的变化?论文挖掘2019—2021年我国30个省级地方政府政策文本数据,用文本中词频反映地方政府在数字经济倾注的“注意力”,并应用fsQCA方法探究绿色金融发展是否引起地方政府向数字经济倾注高注意力。研究结论如下:(1)地方政府对数字经济注意力存在“南强北弱”的区域特征。(2)当绿色投资或绿色支持得到发展时,地方政府通过数字技术的应用帮助监测和评估环保项目的效果,实现环境保护、污染治理,助推地方政府向数字经济投入高注意力。(3)当绿色债券和绿色基金同时发展时,作为融资工具,能够有效帮助实体企业获取资金,助力“双碳”,但受公共物品特征影响,很难被反映在企业利润中。并且,绿色债券和绿色基金所应用到的数字手段有限,较难引起高注意力。(4)当绿色金融各个方面发展较弱时,仅绿色债券、绿色权益所能调动的数字技术是不足的,不会促进地方政府向数字经济投入更高注意力。总之,分析绿色金融是否助推地方政府向数字经济投入注意力,对于探索绿色金融和数字经济协同发展路径具有重要意义。

关键词：绿色金融数字经济注意力 fsQCA方法

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Relationship between longitudinal changes in lipid composition and ischemic stroke among hypertensive patients

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World Journal of Clinical Cases 2025年第4期13卷 18-27页

作者： Cheng-Cheng Wei Yu-Qing huang Cheng-Hong Yu Department of Cardiology Tongxiang First People's HospitalTongxiang 314500Zhejiang ProvinceChina Department of Cardiology Guangdong Cardiovascular InstituteGuangzhou 510080Guangdong ProvinceChina

BACKGROUND Dyslipidemia was strongly linked to stroke,however the relationship between dyslipidemia and its components and ischemic stroke remained *** To investigate the link between longitudinal changes in lipid profiles and dyslipidemia and ischemic stroke in a hypertensive *** Between 2013 and 2014,6094 hypertension individuals were included in this,and ischemic stroke cases were documented to the end of *** changes of lipid were stratified into four groups:(1)Normal was transformed into normal group;(2)Abnormal was transformed into normal group;(3)Normal was transformed into abnormal group;and(4)Abnormal was transformed into abnormal *** examine the link between longitudinal changes in dyslipidemia along with its components and the risk of ischemic stroke,we utilized multivariate Cox proportional hazards models with hazard ratio(HR)and 95%*** The average age of the participants was 62.32 years±13.00 years,with 329 women making up 54.0%of the *** the course of a mean follow-up of 4.8 years,143 ischemic strokes *** normal was transformed into normal group was used as a reference,after full adjustments,the HR for dyslipidemia and ischemic stroke among abnormal was transformed into normal group,normal was transformed into abnormal group and abnormal was transformed into abnormal Wei CC et *** changed and ischemic stroke WJCC https://*** 2 February 6,2025 Volume 13 Issue 4 group were 1.089(95%CI:0.598-1.982;P=0.779),2.369(95%CI:1.424-3.941;P<0.001)and 1.448(95%CI:1.002-2.298;P=0.047)(P for trend was 0.233),*** In individuals with hypertension,longitudinal shifts from normal to abnormal in dyslipidemia-particularly in total and low-density lipoprotein cholesterol-were significantly associated with the risk of ischemic stroke.

关键词： Longitudinal change Hypertension Dyslipidemia Lipid profile Ischemic stroke

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Effect of pouring time on microstructure and mechanical properties of centrifugal cast Ti-46Al alloy tubes

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China Foundry 2025年

作者： Gang huang Qian Dang Cong-cong Su Jing Zhao Chi Zhang Guo-huai Liu Zhao-dong Wang The State Key Laboratory of Rolling and Automation Northeastern University School of Materials Science and Engineering Shenyang University of Technology

The grain size of TiAl alloy castings prepared by traditional casting process is coarse, thus showing poor mechanical properties. In this study, a new type of high performance Ti-46Al alloy tube prepared by vacuum centrifugal casting technology was introduced. This research comprehensively examined the influence of pouring time on the microstructure and mechanical performance of the castings, employing both experimental approaches and ProCast simulation methodologies. The findings indicate that prolonging the pouring time facilitates a microstructural evolution from coarse columnar grains to refined equiaxed grains. Under the condition of pouring temperature of 1,600 °C, rotation speed of 800 r·min-1and pouring time of 6 s, the tensile strength of Ti-46Al alloy at room temperature reaches 650 MPa, and the tensile strength at 800 °C reaches 705 MPa, which is significantly higher than that of traditional as-cast Ti-Al alloy.

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Exploring the interaction between the gut microbiota and cyclic adenosine monophosphate-protein kinase A signaling pathway:a potential therapeutic approach for neurodegenerative diseases

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Neural Regeneration Research 2025年第11期20卷 3095-3112页

作者： Fengcheng Deng Dan Yang Lingxi Qing Yifei Chen Jilian Zou Meiling Jia Qian Wang Runda Jiang Lihua huang College of Pharmacy Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina State Key Laboratory of Southwestern Chinese Medicine Resources Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina

The interaction between the gut microbiota and cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)signaling pathway in the host's central nervous system plays a crucial role in neurological diseases and enhances communication along the gut–brain *** gut microbiota influences the cAMP-PKA signaling pathway through its metabolites,which activates the vagus nerve and modulates the immune and neuroendocrine ***,alterations in the cAMP-PKA signaling pathway can affect the composition of the gut microbiota,creating a dynamic network of microbial-host *** reciprocal regulation affects neurodevelopment,neurotransmitter control,and behavioral traits,thus playing a role in the modulation of neurological *** coordinated activity of the gut microbiota and the cAMP-PKA signaling pathway regulates processes such as amyloid-β protein aggregation,mitochondrial dysfunction,abnormal energy metabolism,microglial activation,oxidative stress,and neurotransmitter release,which collectively influence the onset and progression of neurological *** study explores the complex interplay between the gut microbiota and cAMP-PKA signaling pathway,along with its implications for potential therapeutic interventions in neurological *** pharmacological research has shown that restoring the balance between gut flora and cAMP-PKA signaling pathway may improve outcomes in neurodegenerative diseases and emotional *** can be achieved through various methods such as dietary modifications,probiotic supplements,Chinese herbal extracts,combinations of Chinese herbs,and innovative dosage *** findings suggest that regulating the gut microbiota and cAMP-PKA signaling pathway may provide valuable evidence for developing novel therapeutic approaches for neurodegenerative diseases.

关键词： cyclic adenosine monophosphate emotional disorders gut microbiota neurodegenerative diseases neurological diseases protein kinase A reciprocal regulation signaling pathway strategy therapies

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