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Effects of tree size and organ age on variations in carbon,nitrogen,and phosphorus stoichiometry in Pinus koraiensis

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Journal of forestry Research 2024年第3期35卷 155-165页

作者： Yanjun Wang Guangze Jin Zhili Liu Center for Ecological Research Northeast Forestry UniversityHarbin 150040People's Republic of China Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education Northeast Forestry UniversityHarbin 150040People's Republic of China northeast Asia Biodiversity Research Center Northeast Forestry UniversityHarbin 150040People's Republic of China

Carbon(C),nitrogen(N),and phosphorus(P)are of fundamental importance for growth and nutrient dynamics within plant organs and deserve more attention at regional to global ***,our knowledge of how these nutrients vary with tree size,organ age,or root order at the individual level remains *** determined C,N,and P contents and their stoichiometric ratios(i.e.,nutrient traits)in needles,branches,and fine roots at different organ ages(0-3-year-old needles and branches)and root orders(1.t-4th order roots)from 64 Pinus koraiensis of varying size(Diameter at breast height ranged from 0.3 to 1.0 cm)in northeast *** factors were also *** results show that nutrient traits were regulated by tree size,organ age,or root order rather than soil *** a whole-plant level,nutrient traits decreased in needles and fine roots but increased in branches with tree *** the organ level,age or root order had a negative effect on C,N,and P and a positive effect on stoichiometric *** results demonstrate that nutrient variations are closely related to organ-specific functions and ecophysiological processes at an individual *** is suggested that the nutrient acquisition strategy by younger trees and organ fractions with higher nutrient content is for ***,nutrient storage strategy in older trees and organ fractions are mainly for steady *** results clarified the nutrient utilization strategies during tree and organ ontogeny and suggest that tree size and organ age or root order should be simultaneously considered to understand the complexities of nutrient variations.

关键词： Tree size Organ age(or root order) Carbon(C) Nitrogen(N) Phosphorus(P) Pinus koraiensis

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Rational molecular engineering towards efficient heterojunction solar cells based on organic molecular acceptors

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Chinese Physics B 2024年第6期33卷 575-587页

作者：张凯彦宋朋马凤才李源作 College of Materials Science and Engineering Northeast Forestry UniversityHarbin 150040China College of Science Northeast Forestry UniversityHarbin 150040China Department of Physics Liaoning UniversityShenyang 110036China

The selection of photoactive layer materials for organic solar cells(OSCs) is essential for the photoelectric conversion *** is well known that chlorophyll is an abundant pigment in nature and is extremely valuable for ***,there is little research on how to improve the efficiency of chlorophyll-based OSCs by matching chlorophyll derivatives with excellent non-fullerene acceptors to form *** in this study we utilize a chlorophyll derivative,Ce_(6)Me_(3),as a donor material and investigate the performance of its heterojunction with acceptor *** density functional theory,the photoelectric performances of acceptors,i ncluding the fullerene derivative PC_(71.BM and the terminal halogenated non-fullerene DTBCIC series,are compared in *** is found that DTBCIC-C1.has better planarity,light absorption,electron affinity,charge reorganization energy and charge mobility than ***_(6)Me_(3) has good energy level matching and absorption spectral complementarity with the investigated acceptor molecules and also shows good electron donor ***,the designed Ce_(6)Me_(3)/DTBCIC interfaces have improved charge separation and reorganization rates(K_(CS)/K_(CR)) compared with the Ce_(6)Me_(3)/PC_(71.BM *** research provides a theoretical basis for the design of photoactive layer materials for chlorophyll-based OSCs.

关键词： organic solar cells density functional theory chlorophyll derivative non-fullerene acceptors

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BACNN: Multi-scale feature fusion-based bilinear attention convolutional neural network for wood NIR classification

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Journal of forestry Research 2024年第4期35卷 202-214页

作者： Zihao Wan Hong Yang Jipan Xu Hongbo Mu Dawei Qi College of Science Northeast Forestry UniversityHarbin 150040People’s Republic of China

Effective development and utilization of wood resources is *** modification research has become an integral dimension of wood science research,however,the similarities between modified wood and original wood render it challenging for accurate identification and classification using conventional image classification ***,the development of efficient and accurate wood classification techniques is *** paper presents a one-dimensional,convolutional neural network(i.e.,BACNN)that combines near-infrared spectroscopy and deep learning techniques to classify poplar,tung,and balsa woods,and PVA,nano-silica-sol and PVA-nano silica sol modified woods of *** results show that BACNN achieves an accuracy of 99.3%on the test set,higher than the 52.9%of the BP neural network and 98.7%of Support Vector Machine compared with traditional machine learning methods and deep learning based methods;it is also higher than the 97.6%of LeNet,98.7%of AlexNet and 99.1.of ***,the classification method proposed offers potential applications in wood classification,especially with homogeneous modified wood,and it also provides a basis for subsequent wood properties studies.

关键词： Wood classification Near infrared spectroscopy Bilinear network SE module Anti-noise algorithm

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Lightweight Malicious Code Classification Method Based on Improved Squeeze Net

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Computers, Materials & Continua 2024年第1期78卷 551-567页

作者： Li Li Youran Kong Qing Zhang School of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China

With the growth of the Internet,more and more business is being done online,for example,online offices,online education and so *** this makes people’s lives more convenient,it also increases the risk of the network being attacked by malicious ***,it is important to identify malicious codes on computer systems ***,most of the existing malicious code detection methods have two problems:(1.The ability of the model to extract features is weak,resulting in poor model performance.(2)The large scale of model data leads to difficulties deploying on devices with limited ***,this paper proposes a lightweight malicious code identification model Lightweight Malicious Code Classification Method Based on Improved SqueezeNet(LCMISNet).In this paper,the MFire lightweight feature extraction module is constructed by proposing a feature slicing module and a multi-size depthwise separable convolution *** feature slicing module reduces the number of parameters by grouping *** multi-size depthwise separable convolution module reduces the number of parameters and enhances the feature extraction capability by replacing the standard convolution with depthwise separable convolution with different convolution kernel *** addition,this paper also proposes a feature splicing module to connect the MFire lightweight feature extraction module based on the feature reuse and constructs the lightweight model *** malicious code recognition accuracy of LCMISNet on the BIG 201. dataset and the Malimg dataset reaches 98.90% and 99.58%,*** proves that LCMISNet has a powerful malicious code recognition *** addition,compared with other network models,LCMISNet has better performance,and a lower number of parameters and computations.

关键词： Lightweight neural network malicious code classification feature slicing feature splicing multi-size depthwise separable convolution

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Endoplasmic reticulum stress-induced NLRP3 inflammasome activation as a novel mechanism of polystyrene microplastics (PS-MPs)-induced pulmonary inflammation in chickens

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Journal of Zhejiang university-Science B(Biomedicine & Biotechnology) 2024年第3期25卷 233-243页

作者： Hongmin LU Tiantian GUO Yue ZHANG Dewang LIU Lulu HOU Chengxue MA Mingwei XING College of Wildlife and Protected Area Northeast Forestry UniversityHarbin 150040China

Microplastics(MPs)have attracted growing attention worldwide as an increasingly prevalent environmental *** addition,chicken meat is currently the most widely consumed kind of poultry in the global *** demand for chicken is on the rise both at home and *** a result,the safety of chicken raising has also received significant *** lungs play an essential role in the physiological activities of chickens,and they are also the most vulnerable *** injury is difficult to repair after the accumulation of contaminants,and the mortality rate is high,which brings huge economic losses to *** research on the toxicity of MPs has mainly focused on the marine ecosystem,while the mechanisms of toxicity and lung damage in chickens have been poorly ***,this study explored the effects of exposure to polystyrene microplastics(PS-MPs)at various concentrations for 42 d on chicken ***-MPs could cause lung pathologies and ultrastructural abnormalities,such as endoplasmic reticulum(ER)swelling,inflammatory cell infiltration,chromatin agglutination,and plasma membrane ***,PS-MPs increased the expression of genes related to the heat shock protein family(Hsp60,Hsp70,and Hsp90),ER stress signaling(activating) transcription factor 6(ATF0),ATF4,protein kinase RNA-like ER kinase(PERK),and eukaryotic translation initiation factor 2 subunitα(eIF2a),pyroptosis-related genes(NOD)-,LRR-and pyrin domain-containing protein 3(NLRP3),apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),interleukin-1.(IL-1.),cysteinyl aspartate-specific proteinase 1.Caspasel),and gasdermin-D(GSDMD),and the inflammatory signaling pathway(nuclear factor-kB(NF-kB),inducible nitric oxide synthase(iNOS),and cyclooxygenase-2(COX-2).The above results showed that PS-MP exposure could result in lung stress,ER stress,pyroptosis,and inflammation in *** findings provide new scientific clues for further research o

关键词： Polystyrene microplastics Endoplasmic reticulum stress Lung NLRP3 inflammasome Inflammation

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ChMYB1.ChbHLH42-ChTTG1.module regulates abscisic acidinduced anthocyanin biosynthesis in Cerasus humilis

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Horticultural Plant Journal 2024年第1期10卷 51-65页

作者： Xiaolong Ji Zhe Li Mingyu Zhang Shaoyu Lang Xingshun Song State Key Laboratory of Tree Genetics and Breeding Northeast Forestry UniversityHarbinHeilongjiang 150040China Department of Genetics College of Life ScienceNortheast Forestry UniversityHarbinHeilongjiang 150040China

Cerasus humilis is a kind of economic fruit tree peculiar to China,which is widely used in the food,landscape,and pharmaceutical *** are a phenolic metabolite that plays an essential role in fruit ***,the regulatory network of *** in anthocyanin biosynthesis is still *** this study,the R2R3-MYB transcription factor ChMYB1.was isolated from the full genome of the *** one-hybrid,dual-luciferase assays,and GUS staining showed that ChMYB1.significantly increased anthocyanin contents in *** fruit by promoting the expression of ChCHS and ChUFGT by binding MBS(MYB-binding elements).ChMYB1.interacted with ChbHLH42and ChTTG1.to form the MBW complex and further enhanced the expression of *** addition,abscisic acid(ABA)treatment promoted the expression of ChMYB1.and anthocyanin accumulation in *** ***,ABA treatment enhanced the interaction between ChMYB1.and ***,ChABI5 inhibited the interaction between ChMYB1.and *** data elucidated the primary molecular mechanism of anthocyanin biosynthesis in *** fruit,deepening the understanding of the regulatory network affecting anthocyanin metabolism in edible fruit crops.

关键词： Cerasus humilis Anthocyanin ChMYB1 Fruit ABA

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Method for Detecting Industrial Defects in Intelligent Manufacturing Using Deep Learning

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Computers, Materials & Continua 2024年第1期78卷 1329-1343页

作者： Bowen Yu Chunli Xie College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China

With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment *** analysis of such data is pivotal for ensuring production safety,a critical factor in monitoring the health status of manufacturing *** defect detection techniques,typically limited to specific scenarios,often require manual feature extraction,leading to inefficiencies and limited versatility in the overall *** research presents an intelligent defect detection methodology that leverages deep learning techniques to automate feature extraction and defect localization *** proposed approach encompasses a suite of components:the high-level feature learning block(HLFLB),the multi-scale feature learning block(MSFLB),and a dynamic adaptive fusion block(DAFB),working in tandem to extract meticulously and synergistically aggregate defect-related characteristics across various scales and hierarchical *** have conducted validation of the proposed method using datasets derived from gearbox and bearing *** empirical outcomes underscore the superior defect detection capability of our *** demonstrates consistently high performance across diverse datasets and possesses the accuracy required to categorize defects,taking into account their specific locations and the extent of damage,proving the method’s effectiveness and reliability in identifying defects in industrial components.

关键词： Industrial defect detection deep learning intelligent manufacturing

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A GAN-EfficientNet-Based Traceability Method for Malicious Code Variant Families

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Computers, Materials & Continua 2024年第7期80卷 801-818页

作者： Li Li Qing Zhang Youran Kong School of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China

Due to the diversity and unpredictability of changes in malicious code,studying the traceability of variant families remains *** this paper,we propose a GAN-EfficientNetV2-based method for tracing families of malicious code *** method leverages the similarity in layouts and textures between images of malicious code variants from the same source and their original family of malicious code *** method includes a lightweight classifier and a *** classifier utilizes the enhanced EfficientNetV2 to categorize malicious code images and can be easily deployed on mobile,embedded,and other *** simulator utilizes an enhanced generative adversarial network to simulate different variants of malicious code and generates datasets to validate the model’s *** process helps identify model vulnerabilities and security risks,facilitating model enhancement and *** classifier achieves 98.61.and 97.59%accuracy on the MMCC dataset and Malevis dataset,*** simulator’s generated image of malicious code variants has an FID value of 1.5.44 and an IS value of 1.72±*** classifier’s accuracy for tracing the family of malicious code variants is as high as 90.29%,surpassing that of mainstream neural network *** meets the current demand for high generalization and anti-obfuscation abilities in malicious code classification models due to the rapid evolution of malicious code.

关键词： Malicious code variant traceability feature reuse lightweight neural networks code visualization attention mechanism

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The characteristics of driver lane-changing behaviour in congested road environments

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Transportation Safety and Environment 2024年第3期6卷 96-110页

作者： Wanqi Wang Guozhu Cheng School of Traffic and Transportation Northeast Forestry UniversityHarbin 150040HeilongjiangChina

Lane-changing behaviour is one of the complex|driving *** lane-changing behaviour of drivers may exacerbate congestion,however driver behavioural characteristics are difficult to accurately acquire and quantify,and thus tend to be simplified or ignored in existing lane-changing *** this paper,the Bik-means clustering algorithm is used to analyse the urban road congestion state discrimination ***,simulated driving tests were conducted for different traffic congestion *** the force feedback system and infrared camera,the data of driver lane-changing behaviours at different traffic congestion levels are obtained separately,and the definitions of the start and end points of a vehicle changing lanes are ***,statistical analysis and discussion of key feature parameters including driver lane-changing behaviour data and visual data under different levels of traffic congestion were *** is found that the average lane-change intention times in each congestion state are 2 s,4 s,6 s and 7 s,while the turn-signal duration and the number of rear-view mirror observations have similar patterns of change to the data on lane-changing intention ***,drivers’pupil diameters become smaller during the lane-changing intention phase,and then relatively enlarge during lane-changing;the range of pupil variation is roughly 3.5 mm to 4 *** frequency of observing the vehicle in front of the target lane increased as the level of congestion increased,and the frequency of observation in the driver’s mirrors while changing lanes approximately doubled compared to driving straight ahead,and this ratio increased as the level of congestion increased.

关键词： road congestion lane-changing behaviour Bik-means clustering algorithm characterization study

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Less pressure contributes to gravity-driven membrane ultrafiltration with greater performance:Enhanced driving efficiency and reduced disinfection by-products formation potential

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Journal of Environmental Sciences 2024年第3期137卷 407-419页

作者： Xiaoting Wu Yufei Li Zhaoyang Su Long Tian Muhammad Saboor Siddique Wenzheng Yu Colleges of forestry Northeast Forestry UniversityHarbin 150040China State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Gravity-driven membrane(GDM)systems have been well developed previously;however,impacts of driving(i.e.,transmembrane)pressure on their performance received little attention,which may infuence GDM *** this study,we evaluated 4 GDM systems via altering the transmembrane pressure from 50 mbar to 1.0 mbar with 2 groups,treating surface water in Beijing,*** showed that less driving pressure was more ***,compared to groups(1.0 mbar),groups under a pressure of 50 mbar were found to have greater normalized permeability and lower total *** the whole operation period,the quality of effuents was gradually *** example,the removal efficiency of UV254was significantly improved;particularly,under low driving pressure,the removal efficiency of UV254in PES GDM system increased by 1..91.,as compared to the corresponding system under high driving *** observation was consistent with the reduction on disinfection by-products(DBPs)formation potential;groups under 50 mbar achieved better DBPs potential control,indicating the advantages of lower driving *** were analyzed and responsible for these differences,and distinct distributions of bacteria communities of two GDM systems under 50 and 1.0 mbar may be responsible for various humic-like substances removal ***,GDM systems under less pressure should be considered and expected to provide suggestions on the design of GDM systems in real applications.

关键词： Ultrafiltration Gravity driven operation Membrane fouling Biofilms Disinfection by-products

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