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Urban Point Cloud Semantic Segmentation Incorporating Hybrid and External Attention Modules 认领 引用
1
作者 MAO Jingyi WANG Jingxue BU Lijing 《Journal of Geodesy and Geoinformation Science》 CSCD 2026年第1期80-99,共20页
Imbalanced category distributions in the training data can significantly affect the performance of point clouds segmentation models based on deep learning.However,point clouds often exhibit significant class imbalance... Imbalanced category distributions in the training data can significantly affect the performance of point clouds segmentation models based on deep learning.However,point clouds often exhibit significant class imbalance in urban environments.This imbalance causes the network to under-learn minority categories during training,making it difficult to identify these classes during prediction accurately and thereby limiting classification accuracy.To address this issue,we propose a Multi-scale Hybrid Attention network(MHAnet),which integrates the hybrid and the external attention module.The hybrid attention module captures multi-scale features and highlights key regions,improving the network’s capability to differentiate minority classes.The external attention module introduces global context and dynamically adjusts the distribution of feature weights to reduce the imbalance caused by category imbalance.Additionally,to further extract common features among similar categories,a hybrid loss function is introduced to balance the contribution of different categories during training.Experimental results on the Semantic3D showed that MHAnet achieved excellent performance in urban point cloud semantic segmentation,with an overall accuracy(OA)of 93.9%and a mean intersection over union(mIoU)of 71.13%,outperforming mainstream methods. 展开更多
关键词 semantic segmentation static laser scanning hybrid attention module external attention module multi-scale features
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Enhancing Lightweight Mango Disease Detection Model Performance through a Combined Attention Module 认领 引用
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作者 Wen-Tsai Sung Indra Griha TofikIsa Sung-Jung Hsiao 《Computers, Materials & Continua》 SCIE EI 2026年第2期986-1016,共31页
Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this... Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this study,a lightweight object detection model will be developed that can detect mango plant conditions based on disease potential,so that it becomes an early detection warning system that has an impact on increasing agricultural productivity.The proposed lightweight model integrates YOLOv7-Tiny and the proposed modules,namely the C2S module.The C2S module consists of three sub-modules such as the convolutional block attention module(CBAM),the coordinate attention(CA)module,and the squeeze-and-excitation(SE)module.The dataset is constructed by eight classes,including seven classes of disease conditions and one class of health conditions.The experimental result shows that the proposed lightweight model has the optimal results,which increase by 13.15% of mAP50 compared to the original model YOLOv7-Tiny.While the mAP50:95 also achieved the highest results compared to other models,including YOLOv3-Tiny,YOLOv4-Tiny,YOLOv5,and YOLOv7-Tiny.The advantage of the proposed lightweightmodel is the adaptability that supports it in constrained environments,such as edge computing systems.This proposedmodel can support a robust,precise,and convenient precision agriculture system for the user. 展开更多
关键词 Mango lightweight model combined attention module C2S module precision agriculture
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Development of manufacturing towards the commercialization of perovskite solar modules 认领 引用
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作者 Fanyue Zhao Huachao Zai +3 位作者 Wenfeng Li Yingmo Hu Xiao Zhu Guocheng Lv 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第7期913-943,I0021,共31页
Perovskite solar cells(PSCs),with their outstanding performance of a certified efficiency exceeding 27%,have become the most promising candidates for industrialization among the third-generation photovoltaic technolog... Perovskite solar cells(PSCs),with their outstanding performance of a certified efficiency exceeding 27%,have become the most promising candidates for industrialization among the third-generation photovoltaic technologies.However,in the scale-up process from small-area devices in the laboratory to industrial-grade modules,the fall in efficiency and stability severely restricts the industrialization process of perovskite photovoltaics.This review systematically summarizes the research progress of largearea perovskite modules,with a focus on the application status of key functional layers such as perovskite absorber layers,carrier transport layers,and electrodes.Furthermore,we deeply analyze the technical challenges in terms of material selection,film deposition and device fabrication faced by each functional layer in the scale-up process.Finally,we propose a prospect with future research directions for large-area Perovskite solar modules(PSMs),aiming to provide references for promoting the industrial application of perovskite photovoltaic. 展开更多
关键词 Perovskite Solar cell Solar module Scalable fabrication Large-area
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Microstructure and mechanical properties of high pressure die casting AE81 magnesium alloy battery module ends 认领 引用
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作者 He-cong Xie Jiang-feng Song +9 位作者 Chuang-ming Li Zhi-hua Dong Ang Zhang Jiang Zheng Dao-yan Yang Wei Ren Xian-yue Qin Hong-fen Feng Dong-xia Xiang Bin Jiang 《China Foundry》 SCIE EI CAS CSCD 2026年第3期291-302,共12页
AE81 magnesium alloy castings for electric vehicle battery module ends were fabricated using high pressure die casting(HPDC).Effects of filling behavior and solidification sequence on the spatial distribution of micro... AE81 magnesium alloy castings for electric vehicle battery module ends were fabricated using high pressure die casting(HPDC).Effects of filling behavior and solidification sequence on the spatial distribution of microstructure and mechanical properties were systematically investigated.The results indicate that along the flow path toward the overflow gate,the area fraction of externally solidified crystals(ESCs)gradually decreases,and the average grain size becomes finer,resulting in a slight increase in yield strength.In addition,the pores'volume fraction significantly affects ductility and tensile strength,with the gate region exhibiting the highest porosity(0.74%)and thus the lowest elongation(4.3%)and ultimate tensile strength(218 MPa).In other regions,the porosity decreases to 0.33%-0.39%,resulting in increased elongation(6%-7%)and higher ultimate tensile strength(235-242 MPa).Analysis of the microstructure-property relationship reveals that the yield strength follows the Hall-Petch relationship,while elongation and tensile strength are negatively correlated with pore volume fraction.This finding elucidates the mechanism behind the formation of performance gradients in HPDC magnesium alloys and provides a theoretical basis for the design of lightweight components in new energy vehicles. 展开更多
关键词 high pressure die casting AE81 magnesium alloy battery module end microstructure mechanical properties pore
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Design of Flexible Buoyancy Modules for Deep-Sea Bionic Robots Via Structured Grid-Based Contour Adaptation 认领 引用
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作者 Ruilong Luo Jiawei Lin +1 位作者 Biao Wang Fang Wang 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第2期701-715,共15页
Due to their lightweight and flexibility,soft bionic robots are popular in deep-sea exploration.However,existing buoyancy materials lack optimal compatibility.This study proposes a flexible,pressure-resistant,multi-me... Due to their lightweight and flexibility,soft bionic robots are popular in deep-sea exploration.However,existing buoyancy materials lack optimal compatibility.This study proposes a flexible,pressure-resistant,multi-medium buoy-ancy module comprising a flexible cavity filled with a Hollow Glass Microsphere(HGM)-water mixture and introduces structured-grid thinking,which enables contour adaptation to complex bionic robot morphologies.The density and pressure resistance of the buoyancy modules were experimentally tested,and the effects of varying silicone hardness,wall thickness,and volume percentage of HGM in the mixture on the performance of the buoyancy modules were compared.The results indicate that the density of the buoyancy modules ranges from 0.751 to 0.964 g/cm3.Under a pressure of 30 MPa,the volume change rate of the buoyancy modules is between 1.74%and 2.13%.The effect of air content in the flexible cavity on buoyancy modules under high pressure was examined by comparing experimental findings with simulations. 展开更多
关键词 Flexibility Buoyancy module Pressure-resistant Structured grid thinking
Achieving large-area flexible organic photovoltaic modules with efficiency exceeding 15.7%via improving lateral conductance 认领 引用
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作者 Xin Lu Yang Liu +4 位作者 Xingjie Liu Yuanyuan Wang Zedong Xiong Ruiyu Tian Yinhua Zhou 《Science China Chemistry》 SCIE EI CAS CSCD 2026年第7期3898-3905,共8页
Silver nanowire(AgNW)transparent electrodes are widely used in flexible organic photovoltaics(OPVs)due to the combination of excellent mechanical flexibility and optoelectronic properties.But their discontinuous(porou... Silver nanowire(AgNW)transparent electrodes are widely used in flexible organic photovoltaics(OPVs)due to the combination of excellent mechanical flexibility and optoelectronic properties.But their discontinuous(porous)structure limits the collection of charges in the pores.Ultraviolet(UV)irradiation on the metal oxide electron transporting layer increases its lateral conductance,which helps to collect electrons generated in the pores.However,long-term UV irradiation will degrade the device performance.In this work,an ultra-thin 2.5-nanometer amorphous indium tin oxide(a-ITO)was deposited on the surface of AgNWs electrodes to supplement the charge collection in the pores of the electrodes,getting rid of the dependence on UV light.The improved lateral conductivity enhances efficiency as well as operational stability of large-area flexible OPV modules.Flexible modules based on AgNWs-em-cPVA/a-ITO(AgNWs-em-cPVA denotes AgNWs embedded in crosslinked polyvinyl alcohol)achieved an efficiency of 15.77%(active area:32.5 cm2,active layer of D18:L8-BO)with a high fill factor of 74.60%.Moreover,a flexible large-area OPV module(active layer of PM6:BTP-eC9:PC71BM)retained 93.4%of its initial output power after 1200 h of maximum power point tracking(MPPT)test. 展开更多
关键词 organic photovoltaics large-area flexible modules lateral conductance amorphous ITO maximum power point tracking
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Recent Advances in Chemical Bath Deposition of Electron and Hole Transport Layers for Perovskite Solar Cells and Modules 认领 引用
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作者 Baochang Wang Yuxin Shi +9 位作者 Jingting Yang Yunsong Feng Zhigang Li Hanwen Zhu Changqi Zhou Liping Liu Xuean Liu Yajing Chang Yang Jiang Guoqing Tong 《Rare Metals》 SCIE EI CAS CSCD 2026年第3期153-182,共30页
The development of high-efficiency,stable,and scalable perovskite solar cells/perovskite solar modules(PSCs/PSMs)highly depends on the performance and cost-effectiveness of functional layers such as electron transport... The development of high-efficiency,stable,and scalable perovskite solar cells/perovskite solar modules(PSCs/PSMs)highly depends on the performance and cost-effectiveness of functional layers such as electron transport layers(ETLs)and hole transport layers(HTLs).Among various deposition techniques,chemical bath deposition(CBD)has emerged as a promising low-cost,solution-based method for fabricating both ETLs and HTLs,offering advantages such as uniform film coverage and tunable material properties.In this review,we systematically summarize recent progress in employing CBD-based ETLs/HTLs in PSCs/PSMs,with an emphasis on film growth mechanisms,deposition procedures,scalable fabrication,interface engineering strategies,and device performance.Particular attention is devoted to widely used materials,including SnO2,TiO2,and CdS for ETLs,as well as NiOx for HTLs.The effects of key parameters in the CBD technique,such as precursor concentration,temperature,and deposition duration,on film morphology and overall device performance are critically evaluated.Furthermore,this review explores the integration of CBD-based ETLs/HTLs into scalable PSMs and assesses their impact on both efficiency and long-term stability.Finally,current challenges and prospects for leveraging the CBD technique in the commercial development of PSCs/PSMs are discussed. 展开更多
关键词 chemical bath deposition NiOx perovskite solar cells/modules SnO2 TiO2
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Identification of miRNA-mRNA Modules in Yuanjiang Common Wild Rice Conferring Resistance to Rice Blast 认领 引用
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作者 LI Jinlu XIANG Rong +12 位作者 XIAO Suqin ZHANG Yun CHEN Ling LIU Li ZHONG Qiaofang YIN Fuyou WANG Bo XING Jiaxin JIANG Cong ZHANG Dunyu ZHU Yong ZHAO Shengli CHENG Zaiquan 《Rice science》 SCIE CAS CSCD 2026年第3期301-304,I0194-I0216,共4页
Rice blast severely threatens grain yield and quality,and utilizing resistance genes to cultivate disease-resistant varieties is the most effective strategy for controlling this disease.Yuanjiang common wild rice from... Rice blast severely threatens grain yield and quality,and utilizing resistance genes to cultivate disease-resistant varieties is the most effective strategy for controlling this disease.Yuanjiang common wild rice from China is an important germplasm resource that retains many genes lost or absent in cultivated rice,making it valuable for mining blast resistance genes. 展开更多
关键词 rice blast wild rice mining blast resistance genes germplasm resource miRNA modules Yuanjiang common wild rice mRNA
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Achieving near-equilibrium Had adsorption/desorption by introducing asymmetric S-Re-Se modules in a-ReSxSe2‒xcocatalysts for enhanced photocatalytic H2evolution 认领 引用
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作者 Wei Zhong Yiyao Gan +3 位作者 Jingtao Wang Peiyi Yang Aiyun Meng Yaorong Su 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 2026年第6期322-332,共11页
Two-dimensional transition metal sulfides(MS2)are regarded as promising cocatalyst for photocatalytic hydrogen(H2)production,but the intrinsic symmetric S-M-S module usually causes an improper adsorption/desorpt... Two-dimensional transition metal sulfides(MS2)are regarded as promising cocatalyst for photocatalytic hydrogen(H2)production,but the intrinsic symmetric S-M-S module usually causes an improper adsorption/desorption ability of Had on catalytic S atoms.Herein,the symmetry of S-Re-S modules in traditional ReS2is disrupted by incorporating selenium(Se)atoms,enabling the self-optimized electronic property of active S sites in asymmetric S-Re-Se modules for high performance photocatalytic H2production.Through a one-step photodeposition process,Se atoms were controllably and uniformly incorporated into a-ReS2nanoparticles,thereby forming a homogeneous amorphous ReSxSe2‒x(a-ReSxSe2‒x)cocatalyst on the TiO₂surface.It is found that incorporating Se atoms into amorphous ReS2(a-ReS2)structure creates massive asymmetric S-Re-Se modules and induces a steered electron transport from Se to S atoms,thus forming self-optimized electron-rich S(2+δ)‒sites in the a-ReSxSe2‒xcocatalysts.Furthermore,the electron-rich S(2+δ)‒centers interact with Had via a higher antibonding orbital occupancy,enabling a near-equilibrium Had adsorption/desorption energy for the efficient H2generation.Encouragingly,the photocatalytic H2-production performance of the optimized a-ReS1.2Se0.8/TiO2photocatalyst outperforms the a-ReS2/TiO2and a-ReSe2/TiO2samples by factors of 2.12 and 1.53,respectively.This work constructs new asymmetric active modules to induce self-optimized charge distribution in catalytic atoms,advancing the rational design principle of highly active photocatalysts for sustainable H2production. 展开更多
关键词 Hydrogen production Photocatalysis Asymmetric active modules Self-optimized electron structure a-ReSxSe2‒xcocatalysts
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A promising solvent strategy for commercialization of perovskite photovoltaic modules 认领 引用
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作者 Chen Wang Weitao Zhao Guojia Fang 《Science China Materials》 SCIE EI CAS CSCD 2026年第7期4311-4312,共2页
Perovskite photovoltaics(PVs)[1,2]have rapidly emerged as one of the most promising contenders for next-generation solar technology owing to their low production costs,high power conversion efficiencies,and compatibil... Perovskite photovoltaics(PVs)[1,2]have rapidly emerged as one of the most promising contenders for next-generation solar technology owing to their low production costs,high power conversion efficiencies,and compatibility with large-area manufacturing[3–5].However,translating laboratory-scale perovskite cells into commercial photovoltaic modules faces three persistent bottlenecks:the reliance on toxic polar aprotic solvents during fabrication,the difficulty of maintaining film quality and thickness uniformity over square-metre scales,and the lack of operational reliability[6–8].Overcoming these challenges is essential for positioning perovskite modules as an industrially viable and environmentally responsible alternative to incumbent silicon technologies. 展开更多
关键词 photovoltaic modules solvent strategy toxic polar aprotic solvents perovskite photovoltaics film quality commercialization perovskite cells perovskite photovoltaics pvs
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Educational video modules for alcohol use disorder:A scalable tool to bridge the treatment gap in hepatology 认领 引用
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作者 Zi-Xiang Jin Nian-Zhe Sun 《World Journal of Hepatology》 2026年第2期266-270,共5页
The prospective cohort study by Twohig et al evaluates the efficacy of a novel educational video module(EVM)in promoting treatment engagement and reducing alcohol use among hospitalized patients with alcohol-associate... The prospective cohort study by Twohig et al evaluates the efficacy of a novel educational video module(EVM)in promoting treatment engagement and reducing alcohol use among hospitalized patients with alcohol-associated liver disease(ALD).Analyzing 42 patients,the study demonstrates that exposure to the EVM significantly increased rates of both pharmacologic(50%vs 22%)and psychosocial(73.8%vs 44%)treatment within 30 days of discharge,while markedly reducing the return to alcohol use(7.9%vs 35.6%)compared to a retrospective control cohort.These findings underscore the potential of a standardized,scalable educational intervention to bridge critical knowledge gaps in alcohol use disorder(AUD)management.While the study highlights the EVM as a powerful tool for patient empowerment and system-level quality improvement,its single-center design and limited sample size necessitate further validation through multicenter randomized trials.This article contextualizes these promising results within the broader challenge of AUD treatment,emphasizing the urgent need to integrate innovative,patient-centered education into standard clinical pathways to alleviate the growing burden of ALD. 展开更多
关键词 Alcohol use disorder Educational video module Patient education Alcoholassociated liver disease Treatment engagement Relapse prevention
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Educational video module for increasing treatment rates for alcohol use disorders in inpatients 认领 引用
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作者 I Made Dwi Mertha Adnyana 《World Journal of Hepatology》 2026年第1期231-236,共6页
A study by Twohig et al evaluated the impact of an educational video module(EVM)on the treatment of alcohol use disorder(AUD)in hospitalized patients with alcohol-related liver disease(ALD).This single-center prospect... A study by Twohig et al evaluated the impact of an educational video module(EVM)on the treatment of alcohol use disorder(AUD)in hospitalized patients with alcohol-related liver disease(ALD).This single-center prospective study involved 42 patients,and the results were compared with those of a retrospective control group.EVM increased the rates of pharmacological(50%vs 22%,P=0.0008)and psychosocial(73.8%vs 44%,P=0.001)treatments within 30 days posttreatment.The rate of alcohol relapse decreased significantly(7.9%vs 35.6%,P=0.003)after the intervention.All the participants recommended the EVM.These findings suggest that standardized educational interventions can address knowledge gaps and improve treatment engagement for AUD in patients with ALD. 展开更多
关键词 Alcohol use disorder Alcohol-related liver disease Educational video module Addiction treatment Patient education Hospital-based intervention
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Weak Co-AB-context for GC-χ-injective Modules 认领 引用
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作者 YANG Qiang 《数学进展》 CSCD 北大核心 2026年第1期103-119,共17页
In this paper,we introduce the notion of GC-X-injective modules,where X denotes a class of left S-modules and C represents a faithfully semidualizing bimodule.Under the condition that X satisfies certain hypotheses... In this paper,we introduce the notion of GC-X-injective modules,where X denotes a class of left S-modules and C represents a faithfully semidualizing bimodule.Under the condition that X satisfies certain hypotheses,some properties and some equivalent characterizations of GC-X-injective modules are investigated,and we also show that the triple(■,cores■,■)is a weak co-AB-context.As an application,two complete cotorsion pairs and a new model structure in Mod S are given. 展开更多
关键词 C-X-injective module GC-X-injective module cotorsion pair weak co-ABcontext
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An attention module integrated hybrid model for recognizing microseismic signals induced by high-pressure grouting in deep rock layers 认领 引用
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作者 Yongshu Zhang Lianchong Li +2 位作者 Wenqiang Mu Jian Chen Peng Chen 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第3期595-613,共19页
Microseismic(MS)monitoring is an effective technique to detect mining-induced rock fractures.However,recognizing grouting-induced signals is challenging due to complex geological conditions in deep rock plates.Therefo... Microseismic(MS)monitoring is an effective technique to detect mining-induced rock fractures.However,recognizing grouting-induced signals is challenging due to complex geological conditions in deep rock plates.Therefore,a hybrid model(WM-ResNet50)integrating data enhancement,a deep convolutional neural network(CNN),and convolutional block attention modules(CBAM)was proposed.Firstly,an MS system was established at the Xieqiao coal mine in Anhui Province,China.MS waveforms and injection parameters were acquired during grouting.Secondly,signals were categorized based on time-frequency characteristics to build a dataset,which was divided into training,validation,and test sets at a ratio of 4:1:1.Subsequently,the performance of WM-ResNet50 was evaluated based on indices such as individual precision,total accuracy,recall,and loss function.The results indicated that WMResNet50 achieved an average recognition accuracy of 94.38%,surpassing that of a simple CNN(90.04%),ResNet18(91.72%),and ResNet50(92.48%).Finally,WM-ResNet50 was applied to monitor the whole process at laboratory tests and field cases.Both results affirmed the feasibility and effectiveness of MS inversion in predicting actual slurry diffusion ranges within deep rock layers.By comparison,it was revealed that the MS sources classified by WM-ResNet50 matched grouting records well.A solution to address insufficient diffusion under long-borehole grouting has been proposed.WM-ResNet50′s accuracy was validated through in-situ coring and XRD analysis for cement-based hydration products.This study provides a beneficial reference for similar rock signal processing and in-field grouting practices. 展开更多
关键词 Attention module Convolutional neural network Microseismic Rock Grouting-induced signals Slurry diffusion
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Multi-waveform transfer learning for predicting electromagnetic sensitivity of integrated modular avionics power modules in complex environment 认领 引用
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作者 Yuntao JIN Fei DAI +2 位作者 Xingye CHEN Lingnan SONG Aixin CHEN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期494-510,共17页
Understanding the electromagnetic compatibility of power modules in complex electromagnetic environments is critical for the safety of integrated modular avionics.However,fully testing the module against various Elect... Understanding the electromagnetic compatibility of power modules in complex electromagnetic environments is critical for the safety of integrated modular avionics.However,fully testing the module against various Electro Magnetic Interference(EMI)waveforms is time-consuming and labor-intensive.To address this challenge,we propose a deep-learning-based approach,termed Multi-waveform Transfer Learning(MWTL),building a unified model to predict module responses across multiple interference waveforms.MWTL utilizes a Convolutional Neural Network-Long Short-Term Memory(CNN-LSTM)architecture to effectively extract the temporal features and build the relation between the interference signals and the response signals.In addition,by leveraging shared features across different scenarios,a Transfer Learning(TL)strategy is applied,generalizing the model into unseen interference waveforms,thereby reducing the need for extensive training data in new tasks.The experimental results show that the proposed method delivers excellent predictive performance across various types of interference,maintaining high accuracy even with limited data.In particular,by transferring shared features from multitask learning to new tasks,the approach significantly reduces data requirements for new scenarios while preserving prediction accuracy. 展开更多
关键词 Electromagnetic compatibility Integrated modular avionics Power module Deep learning Transfer learning
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Bifunctional molecular interface spacer for high-efficiency and stable large-area perovskite solar modules 认领 引用
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作者 Shuojian Su Haifei Wang +3 位作者 Yugang Liang Yuetian Chen Yanfeng Miao Yixin Zhao 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第5期774-780,I0018,共7页
The dual interfaces of the perovskite layer,especially the interface between perovskite and selfassembled monolayer(SAM),play a crucial role in ensuring good efficiency and stability of solar cells in p-i-n configurat... The dual interfaces of the perovskite layer,especially the interface between perovskite and selfassembled monolayer(SAM),play a crucial role in ensuring good efficiency and stability of solar cells in p-i-n configuration.However,it is still challenging to simultaneously modify the dual interfaces using a simple technology without additional processes,particularly for large-area perovskite solar modules(PSMs).In this work,we propose an in situ dual-interface modification method that introduces 5-aminovaleric acid hydroiodide(5 AVAI)as a bifunctional molecular interface spacer,which has an anchoring carboxyl group for orientation and an amino group for interface modification.We demonstrate that 5 AVAI modifies the SAM layer through oriented anchoring,improved wettability,and strengthened interactions with perovskite and charge transport layers.Notably,the extrusion of 5 AVAI during the perovskite crystallization process passivates surface defects and mitigates surface lattice strain.Using this bifunctional molecular interface spacer,we achieve the champion efficiency of 22.31%(certified21.69%)for 10 cm×10 cm PSMs with an aperture area of 64 cm2by slot-die coating.Moreover,the corresponding module exhibits exceptional stability,maintaining 95.6%of its initial efficiency after 2000 h of continuous maximum power point operation at 75℃,which is among the best operational stabilities for PSMs. 展开更多
关键词 Bifunctional Molecular Interface Spacer 5-Aminovaleric acid hydroiodide Dual-interface modification Perovskite solar module Stability
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Engineering of enzymatic modules for mRNA manufacturing:Advances in catalytic regulation and process integration 认领 引用
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作者 Shiyi Che Zhengjun Li +4 位作者 Zhiguo Su Zhikao Li Aibing Yu Minsu Liu Songping Zhang 《Chinese Journal of Catalysis》 SCIE EI CAS CSCD 2026年第1期92-112,共21页
The clinical efficacy of mRNA-based therapeutics is critically dependent on the structural integrity of the mRNA molecule,which in turn is governed by the efficiency and robustness of its manufacturing process.Unlike ... The clinical efficacy of mRNA-based therapeutics is critically dependent on the structural integrity of the mRNA molecule,which in turn is governed by the efficiency and robustness of its manufacturing process.Unlike conventional small-molecule synthesis,mRNA manufacturing relies on complex enzymatic cascades involving biomacromolecules with dynamic conformations as templates,intermediates,and catalysts.Key enzymatic modules,including plasmid linearization for DNA template preparation(Module 1),in vitro transcription(IVT)synthesis(Module 2),capping modification(Module 3)of mRNA,and different nucleases-aided removal of impurities(Module 4),are highly interdependent,each with specific catalytic enzymes and auxiliary cofactors.These modules present major engineering challenges of low efficiency and lack of modular compatibility across the multi-step enzymatic processes.Moreover,traditional approaches such as multienzyme immobilization or compartmentalization often fail to meet the demands of high-throughput,continuous and scalable manufacturing.This review systematically summarizes recent advances in the engineering of enzymatic modules for mRNA manufacturing,emphasizing challenges in catalytic regulation,module integration and process intensification.The potential strategies for improving reaction compatibility and enabling process integration and intensification are discussed,providing insights into future directions for engineering mRNA synthesis at scale. 展开更多
关键词 mRNA manufacturing Enzymatic modules Catalytic regulation Process integration Multienzyme reaction
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Transcriptome-wide association study identifies the ZmbZIP89–ZmSAUR21 module as a key regulator of root growth and drought tolerance in maize 认领 引用
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作者 Tianze Zhu Houmiao Wang +11 位作者 Yunyun Wang Xiaoyi Yang Shuai Fang Wei Li Wenye Rui Baoqing Wang Yimei Tian Dan Sun Haoxin Gao Zefeng Yang Chenwu Xu Pengcheng Li 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2026年第7期2054-2072,共19页
The root system is a crucial determinant of maize yield and stress resilience,particularly under drought stress.However,the complex genetic basis governing root system architecture remains largely elusive.To dissect t... The root system is a crucial determinant of maize yield and stress resilience,particularly under drought stress.However,the complex genetic basis governing root system architecture remains largely elusive.To dissect the genetic architecture of the maize root,a transcriptome-wide association study(TWAS)was performed for 16 root traits in a panel of 357 diverse maize inbred lines.TWAS identified 2,978 significantly associated genes,of which 530 showed root-preferential expression patterns,representing high-confidence candidates for root development.Among these candidates,ZmSAUR21,a member of the Small Auxin-Up RNA gene family,was functionally characterized.Both CRISPR–Cas9-mediated knockout and overexpression analyses demonstrated that ZmSAUR21 acts as a key positive regulator of root growth by promoting cell elongation.Furthermore,the transcription factor ZmbZIP89 was identified as a direct upstream activator that binds to the ZmSAUR21 promoter to enhance its transcription,establishing a novel ZmbZIP89–ZmSAUR21 regulatory module.Crucially,ZmSAUR21-overexpressing plants showed substantially enhanced survival rates,improved water use efficiency,and a more vigorous root system under drought conditions.Collectively,this study uncovered a key regulatory pathway controlling maize root development and demonstrates that Zm SAUR21 is a valuable target gene for improving root systems and enhancing drought tolerance in maize breeding programs. 展开更多
关键词 drought tolerance maize root TWAS ZmbZIP89-ZmSAUR21 regulatory module
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Stable nickel electrode for durable perovskite solar modules 认领 引用
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作者 Zhengtian Tan Zheng Zhou +12 位作者 Rui Chen Wenguang Liu Qisen Zhou Jianan Wang Huaiqing Luo He Zhu Tianyin Miao Wenpei Li Xiaoxuan Liu Hasan Raza Sanwan Liu Zonghao Liu Wei Chen 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第5期496-503,I0012,共8页
Perovskite solar cells(PSCs)have emerged as a promising candidate for next-generation photovoltaic technologies owing to their low fabrication costs and remarkable power conversion efficiencies(PCEs).Nevertheless,thei... Perovskite solar cells(PSCs)have emerged as a promising candidate for next-generation photovoltaic technologies owing to their low fabrication costs and remarkable power conversion efficiencies(PCEs).Nevertheless,their commercialization is hindered by long-term stability issues,particularly the irreversible performance degradation caused by electrode corrosion and ion diffusion during prolonged operation.Here,we present a thermally evaporated non-noble metal electrode,a nickel(Ni)electrode,with exceptional intrinsic physicochemical stability as an alternative to conventional metal electrodes for highly stable perovskite devices.We demonstrate that the Ni electrode exhibits appropriate energylevel alignment and a higher charge migration barrier,endowing it with superior intrinsic stability compared to traditional copper(Cu)electrodes while effectively mitigating interfacial reactions between the perovskite layer and the metal electrode.Consequently,we achieve PCEs of 23.21%and 15.45%for smallarea devices and perovskite solar modules(PSMs,aperture area:113 cm2)based on Ni-electrode,respectively,representing the highest reported efficiencies for PSCs utilizing inert non-noble metal electrodes to date.More importantly,the encapsulated PSM retains 96.4%of its initial PCE after 1000 h of thermal aging at 65℃in ambient air,underscoring the exceptional operational stability of the proposed Nibased electrode system. 展开更多
关键词 Perovskite solar modules Nickel electrode Long-term operational stability
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A Hybrid Tidal Prediction Scheme Based on Adaptive Modules Adjustment 认领 引用
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作者 WANG Rui YIN Jian-chuan XU Dong-xing 《China Ocean Engineering》 SCIE EI CSCD 2026年第1期144-157,共14页
Due to complex environmental disturbances,high-precision tidal prediction remains a significant challenge in ocean engineering applications.To address tidal variations characterized by nonlinearity,uncertainty,and tim... Due to complex environmental disturbances,high-precision tidal prediction remains a significant challenge in ocean engineering applications.To address tidal variations characterized by nonlinearity,uncertainty,and time-varying dynamics,a hybrid prediction scheme incorporating adaptive module adjustment(AMA)is proposed.The harmonic analysis method is first applied to model tidal effects induced by the movements of celestial bodies.Subsequently,residual components are decomposed using empirical mode decomposition(EMD),with long short-term memory(LSTM)networks and polynomial fitting(PF)employed to construct the tidal prediction model.The decomposition order for LSTM input time series and the selection of polynomial modules are determined adaptively.Finally,the predictions from harmonic analysis and the ensemble model components are combined to generate the final tidal forecast.Experimental simulations are conducted using observed tidal data from gauges at Canaveral Port and Old Port Tampa.Simulation results demonstrate that the proposed adaptive tidal prediction model outperforms conventional methods in terms of prediction accuracy. 展开更多
关键词 tide forecast harmonic analysis empirical mode decomposition(EMD) long short-term memory(LSTM) polynomial fitting(PF) adaptive module adjustment(AMA)
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