In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the trainin...In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.展开更多
Arsenic is one of the main harmful elements in industrial wastewater.How to remove arsenic has always been one of the research hotspots in academic circles.In the process of arsenic removal by traditional sulfuration,...Arsenic is one of the main harmful elements in industrial wastewater.How to remove arsenic has always been one of the research hotspots in academic circles.In the process of arsenic removal by traditional sulfuration,the use of traditional sulfurizing agent will introduce new metal cations,which will affect the recycling of acid.In this study,phosphorus pentasulfide (P_(2)S_(5)) was used as sulfurizing agent,which hydrolyzed to produce H_(3)PO_(4) and H_(2)S without introducing new metal cations.The effect of ultrasound on arsenic removal by P_(2)S_(5) was studied.Under the action of ultrasound,the utilization of P_(2)S_(5) was improved and the reaction time was shortened.The effects of S/As molar ratio and reaction time on arsenic removal rate were investigated under ultrasonic conditions.Ultrasonic enhanced heat and mass transfer so that the arsenic removal rate of 94.5%could be achieved under the conditions of S/As molar ratio of 2.1:1 and reaction time of 20 min.In the first 60 min,under the same S/As molar ratio and reaction time,the ultrasonic hydrolysis efficiency of P_(2)S_(5) was higher.This is because P_(2)S_(5) forms ([(P_(2)S_(4))])^(2+)under the ultrasonic action,and the structure is damaged,which is easier to be hydrolyzed.In addition,the precipitation after arsenic removal was characterized and analyzed by X-ray diffraction,scanning electron microscope-energy dispersive spectrometer,X-ray fluorescence spectrometer and X-ray photoelectron spectroscopy.Our research avoids the introduction of metal cations in the arsenic removal process,and shortens the reaction time.展开更多
Most methods for classifying hyperspectral data only consider the local spatial relation-ship among samples,ignoring the important non-local topological relationship.However,the non-local topological relationship is b...Most methods for classifying hyperspectral data only consider the local spatial relation-ship among samples,ignoring the important non-local topological relationship.However,the non-local topological relationship is better at representing the structure of hyperspectral data.This paper proposes a deep learning model called Topology and semantic information fusion classification network(TSFnet)that incorporates a topology structure and semantic information transmis-sion network to accurately classify traditional Chinese medicine in hyperspectral images.TSFnet uses a convolutional neural network(CNN)to extract features and a graph convolution network(GCN)to capture potential topological relationships among different types of Chinese herbal medicines.The results show that TSFnet outperforms other state-of-the-art deep learning classification algorithms in two different scenarios of herbal medicine datasets.Additionally,the proposed TSFnet model is lightweight and can be easily deployed for mobile herbal medicine classification.展开更多
Objective:To explore the kidney yang deficiency pattern(KYDP)in a chronic kidney disease(CKD)rat model and the mechanisms underlying the effects of Zhenwu decoction(ZWD)by conducting tran-scriptomic and metabolomic an...Objective:To explore the kidney yang deficiency pattern(KYDP)in a chronic kidney disease(CKD)rat model and the mechanisms underlying the effects of Zhenwu decoction(ZWD)by conducting tran-scriptomic and metabolomic analyses.Methods:Adriamycin(ADR)combined with hydrocortisone(HC)was used to induce CKD with KYDP in rats.ADR was injected into the tail vein twice.HC was injected intramuscularly for 8 weeks.ZWD was administered by gavage for 8 weeks.The general condition was observed,24-h urine protein was detected,serum corticosterone,triiodothyronine,thyroxine,TSH,testosterone,cAMP,and cGMP levels were determined,and pathological analysis was conducted.Transcriptomic and metabolomic analyses were conducted to screen differentially expressed genes(DEGs),differentially expressed metabolites(DEMs),and differentially expressed pathways(DEPs).The core DEMs and DEGs were input to Metab-oanalyst 5.0 to identify the pathways affected by ZWD.Results:In the HC group,KYDP symptoms were observed.Compared with control group,the levels of 24-h urine protein,TSH,and cGMP significantly increased(all P<0.01),and corticosterone,triiodothyronine,thyroxine,and cAMP significantly decreased(all P<0.01)in the HC group.After ZWD intervention,the levels of above-mentioned indicators could be reversed to some extent.Pathological analysis in the HC group revealed kidney lesions.DEGs in the ZWD group were mainly associated with pathways such as nucleotide synthesis and endocrine pathways.In the ZWD group,differences in biosynthesis of unsat-urated fatty acids and butanoate metabolism were observed.The following pathways were significantly affected by ZWD:arachidonic acid metabolism,valine,leucine,and isoleucine biosynthesis,linoleic acid metabolism,and alpha-linolenic acid metabolism.Conclusion:ZWD can be used to treat KYDP in CKD through regulating arachidonic acid metabolism,valine,leucine,and isoleucine biosynthesis,linoleic acid metabolism,and alpha-linolenic acid metabolism.展开更多
To obtain excellent regression results under the condition of small sample hyperspectral data,a deep neural network with simulated annealing(SA-DNN)is proposed.According to the characteristics of data,the attention me...To obtain excellent regression results under the condition of small sample hyperspectral data,a deep neural network with simulated annealing(SA-DNN)is proposed.According to the characteristics of data,the attention mechanism was applied to make the network pay more attention to effective features,thereby improving the operating efficiency.By introducing an improved activation function,the data correlation was reduced based on increasing the operation rate,and the problem of over-fitting was alleviated.By introducing simulated annealing,the network chose the optimal learning rate by itself,which avoided falling into the local optimum to the greatest extent.To evaluate the performance of the SA-DNN,the coefficient of determination(R^(2)),root mean square error(RMSE),and other metrics were used to evaluate the model.The results show that the performance of the SA-DNN is significantly better than other traditional methods.展开更多
Accurate histopathology classification is a crucial factor in the diagnosis and treatment of Cholangiocarcinoma(CCA).Hyperspectral images(HSI)provide rich spectral information than ordinary RGB images,making them more...Accurate histopathology classification is a crucial factor in the diagnosis and treatment of Cholangiocarcinoma(CCA).Hyperspectral images(HSI)provide rich spectral information than ordinary RGB images,making them more useful for medical diagnosis.The Convolutional Neural Network(CNN)is commonly employed in hyperspectral image classification due to its remarkable capacity for feature extraction and image classification.However,many existing CNN-based HSI classification methods tend to ignore the importance of image spatial context information and the interdependence between spectral channels,leading to unsatisfied classification performance.Thus,to address these issues,this paper proposes a Spatial-Spectral Joint Network(SSJN)model for hyperspectral image classification that utilizes spatial self-attention and spectral feature extraction.The SSJN model is derived from the ResNet18 network and implemented with the non-local and Coordinate Attention(CA)modules,which extract long-range dependencies on image space and enhance spatial features through the Branch Attention(BA)module to emphasize the region of interest.Furthermore,the SSJN model employs Conv-LSTM modules to extract long-range depen-dencies in the image spectral domain.This addresses the gradient disappearance/explosion phenom-ena and enhances the model classification accuracy.The experimental results show that the pro-posed SSJN model is more efficient in leveraging the spatial and spectral information of hyperspec-tral images on multidimensional microspectral datasets of CCA,leading to higher classification accuracy,and may have useful references for medical diagnosis of CCA.展开更多
TiO_2 nanocrystals/graphene hybrids(TiO_2-G) with ultrafine TiO_2 nanocrystals(~7 nm in size) conformally coated on ultrathin graphene nanosheets(~ 2 layers thick) were successfully prepared via a facile one-pot solvo...TiO_2 nanocrystals/graphene hybrids(TiO_2-G) with ultrafine TiO_2 nanocrystals(~7 nm in size) conformally coated on ultrathin graphene nanosheets(~ 2 layers thick) were successfully prepared via a facile one-pot solvothermal route under mediated conditions.With the feature of large surface area,abundant mesopores and high thermal stability,the TiOi-G nanohybrids exhibited large reversible Li-ion storage capacity with excellent cycling stability(629 mAh·g^(-1) after 400 cycles at a current of 60 mA·g^(-1)) and good rate capability(184 mAh·g^(-1) at a current density of 3 A·g^(-1)) due to the synergetic effects and strong interactions between the components,showing great promise in applications for advanced energy storage devices.展开更多
Photocatalytic solar energy conversion to hydrogen is sustainable and attractive for addressing the global energy and environmental issue. Herein, a novel photocatalytic system (NiS/Ni3S4 cocatalysts modified mesoporo...Photocatalytic solar energy conversion to hydrogen is sustainable and attractive for addressing the global energy and environmental issue. Herein, a novel photocatalytic system (NiS/Ni3S4 cocatalysts modified mesoporous TiO2) with superior photocatalytic hydrogen evolution capability through the synergistic impact of NiS/Ni3S4 (NiSx) cocatalyst and efficient hole scavenger has been demonstrated. The photocatalytic hydrogen evolution of TiO2-NiSx hybrids with the different content of NiSx and upon different organic hole scavengers was both investigated. The hybrid of TiO2 decorated with 3%(mole ratio of Ni^2+) NiSx cocatalyst in methanol solution showed the optimal photocatalytic hydrogen evolution rate of 981.59 μmol h^-1 g^-1 which was about 20 times higher than that of bare mesoporous TiO2. Our results suggested that the boosted hydrogen production performance is attributed to both the improved photoinduced electrons migration between NiS and Ni3S4 in cocatalyst and the high hole captured efficiency by hole scavengers of methanol.展开更多
Background: Follicle-stimulating hormone(FSH) is a gonadotropin synthesized and secreted by the pituitary gland.FSH stimulates follicle development and maturation in females. It also plays an important role in spermat...Background: Follicle-stimulating hormone(FSH) is a gonadotropin synthesized and secreted by the pituitary gland.FSH stimulates follicle development and maturation in females. It also plays an important role in spermatogenesis in males, including humans and mice. However, the effects of FSH on male pigs are largely unknown. In this study,we generated transgenic pigs to investigate the effects of FSHα/β overexpression on reproductive traits in boars.Results: After five transgenic F_0 founders were crossed with wide-type pigs, 193 F_1 animals were obtained. Of these,96 were confirmed as transgenic. FSHα and FSHβ m RNAs were detected only in pituitary tissue. Transgenic boars exhibited significantly higher levels of FSHα and FSHβ m RNA, serum FSH, and serum testosterone, compared to ful-sib non-transgenic boars. Significant increases in testis weight, vas deferens diameter, seminiferous tubule diameter,and the number of Leydig cel s were observed, suggesting that the exogenous FSHα/β affects reproductive traits. Final y,transgenic and non-transgenic boars had similar growth performance and biochemical profiles.Conclusions: Pituitary-specific overexpression of FSHα/β genes is likely to impact reproductive traits positively, as indicated by enhancements in serum testosterone level, testis weight, the development of vas deferens, seminiferous tubules, and Leydig cells in transgenic boars. A high level of serum FSH induces secretion of serum testosterone,possibly by boosting the number of Leydig cells, which presumably increases the libido and the frequency of sexual activity in transgenic boars. Our study provides a preliminary foundation for the genetic improvement of reproductive traits in male pigs.展开更多
Objective:The goal of this study was to get preliminary insight on the intra-tumor heterogeneity in colitisassociated cancer(CAC)and to reveal a potential evolutionary trajectory from ulcerative colitis(UC)to CAC at t...Objective:The goal of this study was to get preliminary insight on the intra-tumor heterogeneity in colitisassociated cancer(CAC)and to reveal a potential evolutionary trajectory from ulcerative colitis(UC)to CAC at the single-cell level.Methods:Fresh samples of tumor tissues and adjacent UC tissues from a CAC patient with pT3N1M0 stage cancer were examined by single-cell RNA sequencing(scRNA-seq).Data from The Cancer Genome Atlas(TCGA)and The Human Protein Atlas were used to confirm the different expression levels in normal and tumor tissues and to determine their relationships with patient prognosis.Results:Ultimately,4,777 single-cell transcriptomes(1,220 genes per cell)were examined,of which 2,250(47%)and 2,527(53%)originated from tumor and adjacent UC tissues,respectively.We defined the composition of cancer-associated stromal cells and identified six cell clusters,including myeloid,T and B cells,fibroblasts,endothelial and epithelial cells.Notable pathways and transcription factors involved in these cell clusters were analyzed and described.Moreover,the precise cellular composition and developmental trajectory from UC to UCassociated colon cancer were graphed,and it was predicted that CD74,CLCA1,and DPEP1 played a potential role in disease progression.Conclusions:scRNA-seq technology revealed intra-tumor cell heterogeneity in UC-associated colon cancer,and might provide a promising direction to identify novel potential therapeutic targets in the evolution from UC to CAC.展开更多
Infrared-visible image fusion plays an important role in multi-source data fusion,which has the advantage of integrating useful information from multi-source sensors.However,there are still challenges in target enhanc...Infrared-visible image fusion plays an important role in multi-source data fusion,which has the advantage of integrating useful information from multi-source sensors.However,there are still challenges in target enhancement and visual improvement.To deal with these problems,a sub-regional infrared-visible image fusion method(SRF)is proposed.First,morphology and threshold segmentation is applied to extract targets interested in infrared images.Second,the infrared back-ground is reconstructed based on extracted targets and the visible image.Finally,target and back-ground regions are fused using a multi-scale transform.Experimental results are obtained using public data for comparison and evaluation,which demonstrate that the proposed SRF has poten-tial benefits over other methods.展开更多
Natural loess slopes are characterized by a strong geological structure,which is an important factor in maintaining slope stability.The magnitude and duration of the earthquake may disturb the soil structure at differ...Natural loess slopes are characterized by a strong geological structure,which is an important factor in maintaining slope stability.The magnitude and duration of the earthquake may disturb the soil structure at different levels degrees,locally changing the arrangement between soil particles.The process of rainfall humidification weakens the cementation between soil particles,and the disturbance and humidification change the structural state of the soil,which in turn causes sliding of the slope along with the decay of soil mechanical properties.As slope instability is often the result of a series of post-earthquake ripple effects,it is of great scientific significance to study the mechanism of slope instability due to the structural decay of earthquake-damaged loess exacerbated by rainfall.In this paper,the impact of structural decay of loess on slope stability is simulated by GEOSTUDIO software under three conditions:pre-earthquake rainfall,post-earthquake rainfall and earthquake,taking the landslide in Buzi Village,Min County,Gansu Province as an example.The comparative analysis of the calculation results shows that the structural properties of the slope without earthquake disturbance are influenced by infil-tration amount.When it is fully saturated,the structural properties are similar to those of saturated soil,and the safety factor is reduced by 12.9%.In addition,the earthquake intensity and duration have different degrees of structural damage to the soil.When the structure is fully damaged,it is similar to that of remodelled soil,and the safety factor is reduced by 45.84%.Notably,the process of the earthquake and the following humidification generates the most serious damage to the loess structure,with a reduction in the safety factor of up to 56.15%.The quantitative analysis above obviously illustrates that the post-earthquake rainfall causes the most severe damage to structural loess slopes,and the resulting landslide hazard should not be underestimated.展开更多
This study explores the effects of vegetation and season on soil microorganisms and enzymatic activity of different wetlands in a temperate climate.Microbial carbon metabolism diversity was assessed using community-le...This study explores the effects of vegetation and season on soil microorganisms and enzymatic activity of different wetlands in a temperate climate.Microbial carbon metabolism diversity was assessed using community-level physiological profiles(CLPP)with 31 different carbon substrates.CLPP indicated that significant interactions occur during carbon substrate metabolism of the microorganisms.Furthermore,the different types of vegetation present in the wetland ecosystem combined with the seasonal effects to influence microbial carbon metabolism and enzymatic activity.The most significant differences occurred to carbohydrates,carboxylic acids,and amino acids.The Mantel test confirmed positive correlations between soil enzymatic activities and microbial carbon metabolism.Soil microorganisms in Betula ovalifolia and Carex schmidtii wetlands used carbon substrates more efficiently in summer than those in other forested wetlands during other periods.Enzymatic activities also showed a similar trend as microbial carbon metabolism.The results demonstrate that microbial carbon metabolism patterns can be used as biological indicators in wetland ecological alterations due to vegetation type or to seasonal factors.展开更多
Changbai Mountain,central in the distribution of Pinus koraiensis,supports a virgin Korean pine forest with vertical gradient distribution.Soil extracellular enzyme activity(EEA) and enzyme stoichiometry(ES) are relia...Changbai Mountain,central in the distribution of Pinus koraiensis,supports a virgin Korean pine forest with vertical gradient distribution.Soil extracellular enzyme activity(EEA) and enzyme stoichiometry(ES) are reliable indicators of the energy and nutrients utilized by microbial communities and of soil nutrient changes.We measured four representative soil EEAs(sucrase,cellulase,urease,acid phosphatase) at two soil layers(A:0-5 cm and B:5-10 cm)beneath Korean pine forest at five elevations on Changbai Mountain during growing season.The vertical and seasonal variations of EEAs were analyzed by soil enzyme stoichiometry to quantify the role of soil microorganism in the nutrient cycling process.The activities of four soil extracellular enzymes and the ratios of enzyme activity to soil microbial biomass carbon(EA/SMBC) did not vary with elevation.The first partition point of multiple regression trees was in September,and the second branch was split by elevation.Seasonal change had more influence on soil enzyme activity(A layer:75.6%;B layer:71.3%) than did change in elevation(A layer:7.8%;B layer:7.5%).Over one entire growing season,both vector length and vector angle were unchanged by elevation,but varied significantly by month.Among the soil physicochemical factors,available phosphorus and pH were the main factors affecting the four soil EE As.The ratio of basal area of the coniferous tree to broad-leaved tree species(S_(con)/S_(br)),soil microbial biomass carbon(MBC) and nitrogen(MBN) influenced the four soil EE As.The results of vector analysis revealed that C and N sources were generally sufficient,but P was limiting(vector angle> 45°).The vector angle for September was significantly higher than for other months.This result verified that phosphorus was the limiting factor affecting soil microorganism function in nutrient metabolism and cycling.Soil enzyme stoichiometry proved to be an efficient index for quantifying soil microorganismmediated nutrient cycling in the Korean pine ecosystem.展开更多
Land salinization is a major form of land degradation,which is not conducive to the growth and quality of fruits and vegetables.Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi(AMF)or plant growth-...Land salinization is a major form of land degradation,which is not conducive to the growth and quality of fruits and vegetables.Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi(AMF)or plant growth-promoting rhizobacteria(PGPR).This study examined the effects of inoculation with PGPR singly or in combination with AMF,on the growth and quality of tomato fruits under low saline conditions.Tomatoes were cultivated in a greenhouse with sterilized soil,inoculated with PGPR,AMF,or co-inoculated with PGPR and AMF,and NaCl solution(1%)was added to the soil.The results indicated that AMF+PGPR decreased the roots and shoot biomass accumulation,and increased the number and fresh biomass in tomato fruits to a certain extent compared with non-inoculated plants.PGPR and AMF mediated the level of reactive oxygen and lipid peroxidation,the accumulation of antioxidants,and the activity of antioxidant enzymes,including proanthocyanidins,flavonoids,ascorbic acid,superoxide dismutase,peroxidase,and total antioxidant capacity.Furthermore,PGPR,AMF,and PGPR+AMF improved the overall osmotic adjustments and accumulation of soluble sugars and soluble proteins.Therefore,the AMF-Funneliformis mosseae and PGPR-Bacillus subtilis can potentially alleviate the adverse effects of salt stress and be applied as a biofertilizer in agricultural practice.展开更多
Genetic transformation is one of the key steps in the molecular breeding of chrysanthemum,which relies on an optimal regeneration and transformation system.However,the regeneration system of different chrysanthemum cu...Genetic transformation is one of the key steps in the molecular breeding of chrysanthemum,which relies on an optimal regeneration and transformation system.However,the regeneration system of different chrysanthemum cultivars varies,and the regeneration time of most cultivars is long.To screen cultivars with highly efficient regeneration,leaves and shoot tip thin cell layers(tTCL)from eight chrysanthemum cultivars with different flower colors and flower types were cultured on Murashige and Skoog media(MS)supplemented with 1.0-5.0 mg L^(−1)6-benzylaminopurine(6-BA)and 0.1-1.0 mg L^(−1)α-naphthaleneacetic(NAA).The results showed that the most efficient regeneration media were MS+6-BA 1.0 mg L^(−1)+NAA 0.5 mg L^(−1)for leaf explants and MS+6-BA 5.0 mg L^(−1)+NAA 0.1 mg L^(−1)for tTCL explants.Subsequently,another 13 chrysanthemum cultivars were screened by using the media,and finally,three cultivars with high regeneration efficiency were obtained from 21 cultivars.Among these,C1 had the highest regeneration efficiency:the regeneration rate of leaf explants reached 80.0%after 42 days of culture,and the regeneration rate of tTCL explants reached 100%after 31 days of culture.Furthermore,we also established the transformation system for C1 as follows:preculturing for one day,infecting with Agrobacterium suspension(OD_(600)=0.6)for 10 min,and cultivating in the regeneration medium with 350 mg L^(−1)carbenicillin and 10 mg L^(−1)kanamycin,thus ultimately achieving a transformation rate of 4.0%.In this study,a new chrysanthemum cultivar with an efficient regeneration and transformation system was screened,which is beneficial to enrich the flower color of chrysanthemum transgenic plant recipients and to the functional research of flower color or type-related genes.展开更多
The classification treatment of rural domestic waste is not only an important measure to realize the standardized development in rural areas,but also the action support to the concept of"ecological and suitable r...The classification treatment of rural domestic waste is not only an important measure to realize the standardized development in rural areas,but also the action support to the concept of"ecological and suitable residence"put forward by the 19th CPC National Congress.This paper summarizes the traditional treatment methods of rural domestic waste in Northeast China,the present situation of rural waste classification treatment in Northeast China and the advantages of waste classification in rural areas of Northeast China.The specific measures to improve the current situation of rural waste classification treatment in Northeast China are put forward in terms of capital policy,classification methods and management means,in order to provide theoretical reference for the treatment of rural domestic waste in Northeast China.展开更多
Image segmentation is an important research area in Computer Vision and the GVF-snake is an effective segmentation algorithm presented in recent years. Traditional GVF-snake algorithm has a large capture range and can...Image segmentation is an important research area in Computer Vision and the GVF-snake is an effective segmentation algorithm presented in recent years. Traditional GVF-snake algorithm has a large capture range and can deal with boundary concavities. However, when interesting object has deep concavities, traditional GVF-snake algorithm can’t converge to true boundaries exactly. In this paper, a novel improved scheme was proposed based on the GVF-snake. The central idea is introduce dynamic balloon force and tangential force to strengthen the static GVF force. Experimental results of synthetic image and real image all demonstrated that the improved algorithm can capture boundary concavities better and detect complex edges more accurately.展开更多
Anthocyanins,a categories of metabolites derived from flavonoid biosynthesis pathway,are responsible for the red color of peach.Anthocyanin metabolism is modulated by a complicated regulatory network.In this study,our...Anthocyanins,a categories of metabolites derived from flavonoid biosynthesis pathway,are responsible for the red color of peach.Anthocyanin metabolism is modulated by a complicated regulatory network.In this study,our results demonstrated that PpNAC25 was a component of anthocyanin regulatory network in peach.PpNAC25 showed a closed relationship with the well-known ripening-related gene NOR(no-ripening)and was highly expressed in peach fruit.Overexpression of PpNAC25 in poplar resulted in a redder shoot tips compared with EV control.PpNAC25 overexpression upregulated the anthocyanin biosynthetic and transportation genes in transcript levels and then increased anthocyanin contents.In Y1H and Luc/Ren assay,PpNAC25 bound to the promoter of the anthocyanin-activator PpMYB10.1 and PpMYB10.2 and activated its transcript.Moreover,PpNAC25 formed a heterodimer with PpNAC1,an anthocyanin-regulator.Our researches provide evidence that PpNAC25 may be a positive regulator of anthocyanin biosynthesis in peach fruit.展开更多
基金National Key Research and Development Program of China(2021ZD0113704).
文摘In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.
基金support of the Basic Research Project of Science and Technology Planning Project of Yunnan Provincial Department of Science and Technology (202201AS070031)Yunnan Pronince Top young talents of The Ten Thousand Project+4 种基金the central government guides local science and technology development projects (CB22005R006A)the National Key Research and Development Program of China (2019YFC1904204)Kunming Key Laboratory of Special MetallurgyKunming Academician Workstation of Advanced Preparation for Super hard Materials FieldKunming Academician Workstation of Metallurgical Process Intensification。
文摘Arsenic is one of the main harmful elements in industrial wastewater.How to remove arsenic has always been one of the research hotspots in academic circles.In the process of arsenic removal by traditional sulfuration,the use of traditional sulfurizing agent will introduce new metal cations,which will affect the recycling of acid.In this study,phosphorus pentasulfide (P_(2)S_(5)) was used as sulfurizing agent,which hydrolyzed to produce H_(3)PO_(4) and H_(2)S without introducing new metal cations.The effect of ultrasound on arsenic removal by P_(2)S_(5) was studied.Under the action of ultrasound,the utilization of P_(2)S_(5) was improved and the reaction time was shortened.The effects of S/As molar ratio and reaction time on arsenic removal rate were investigated under ultrasonic conditions.Ultrasonic enhanced heat and mass transfer so that the arsenic removal rate of 94.5%could be achieved under the conditions of S/As molar ratio of 2.1:1 and reaction time of 20 min.In the first 60 min,under the same S/As molar ratio and reaction time,the ultrasonic hydrolysis efficiency of P_(2)S_(5) was higher.This is because P_(2)S_(5) forms ([(P_(2)S_(4))])^(2+)under the ultrasonic action,and the structure is damaged,which is easier to be hydrolyzed.In addition,the precipitation after arsenic removal was characterized and analyzed by X-ray diffraction,scanning electron microscope-energy dispersive spectrometer,X-ray fluorescence spectrometer and X-ray photoelectron spectroscopy.Our research avoids the introduction of metal cations in the arsenic removal process,and shortens the reaction time.
基金supported by the National Natural Science Foundation of China(No.62001023)Beijing Natural Science Foundation(No.JQ20021)。
文摘Most methods for classifying hyperspectral data only consider the local spatial relation-ship among samples,ignoring the important non-local topological relationship.However,the non-local topological relationship is better at representing the structure of hyperspectral data.This paper proposes a deep learning model called Topology and semantic information fusion classification network(TSFnet)that incorporates a topology structure and semantic information transmis-sion network to accurately classify traditional Chinese medicine in hyperspectral images.TSFnet uses a convolutional neural network(CNN)to extract features and a graph convolution network(GCN)to capture potential topological relationships among different types of Chinese herbal medicines.The results show that TSFnet outperforms other state-of-the-art deep learning classification algorithms in two different scenarios of herbal medicine datasets.Additionally,the proposed TSFnet model is lightweight and can be easily deployed for mobile herbal medicine classification.
基金This study was supported by the National Key Research and Development Program of the Ministry of Science and Technology of the People's Republic of China(2018YFC1704304).
文摘Objective:To explore the kidney yang deficiency pattern(KYDP)in a chronic kidney disease(CKD)rat model and the mechanisms underlying the effects of Zhenwu decoction(ZWD)by conducting tran-scriptomic and metabolomic analyses.Methods:Adriamycin(ADR)combined with hydrocortisone(HC)was used to induce CKD with KYDP in rats.ADR was injected into the tail vein twice.HC was injected intramuscularly for 8 weeks.ZWD was administered by gavage for 8 weeks.The general condition was observed,24-h urine protein was detected,serum corticosterone,triiodothyronine,thyroxine,TSH,testosterone,cAMP,and cGMP levels were determined,and pathological analysis was conducted.Transcriptomic and metabolomic analyses were conducted to screen differentially expressed genes(DEGs),differentially expressed metabolites(DEMs),and differentially expressed pathways(DEPs).The core DEMs and DEGs were input to Metab-oanalyst 5.0 to identify the pathways affected by ZWD.Results:In the HC group,KYDP symptoms were observed.Compared with control group,the levels of 24-h urine protein,TSH,and cGMP significantly increased(all P<0.01),and corticosterone,triiodothyronine,thyroxine,and cAMP significantly decreased(all P<0.01)in the HC group.After ZWD intervention,the levels of above-mentioned indicators could be reversed to some extent.Pathological analysis in the HC group revealed kidney lesions.DEGs in the ZWD group were mainly associated with pathways such as nucleotide synthesis and endocrine pathways.In the ZWD group,differences in biosynthesis of unsat-urated fatty acids and butanoate metabolism were observed.The following pathways were significantly affected by ZWD:arachidonic acid metabolism,valine,leucine,and isoleucine biosynthesis,linoleic acid metabolism,and alpha-linolenic acid metabolism.Conclusion:ZWD can be used to treat KYDP in CKD through regulating arachidonic acid metabolism,valine,leucine,and isoleucine biosynthesis,linoleic acid metabolism,and alpha-linolenic acid metabolism.
基金supported by the National Natural Science Foundation of China(Nos.62001023,61922013)Beijing Natural Science Foundation(No.4232013).
文摘To obtain excellent regression results under the condition of small sample hyperspectral data,a deep neural network with simulated annealing(SA-DNN)is proposed.According to the characteristics of data,the attention mechanism was applied to make the network pay more attention to effective features,thereby improving the operating efficiency.By introducing an improved activation function,the data correlation was reduced based on increasing the operation rate,and the problem of over-fitting was alleviated.By introducing simulated annealing,the network chose the optimal learning rate by itself,which avoided falling into the local optimum to the greatest extent.To evaluate the performance of the SA-DNN,the coefficient of determination(R^(2)),root mean square error(RMSE),and other metrics were used to evaluate the model.The results show that the performance of the SA-DNN is significantly better than other traditional methods.
基金supported by National Natural Science Foundation of China(No.62101040).
文摘Accurate histopathology classification is a crucial factor in the diagnosis and treatment of Cholangiocarcinoma(CCA).Hyperspectral images(HSI)provide rich spectral information than ordinary RGB images,making them more useful for medical diagnosis.The Convolutional Neural Network(CNN)is commonly employed in hyperspectral image classification due to its remarkable capacity for feature extraction and image classification.However,many existing CNN-based HSI classification methods tend to ignore the importance of image spatial context information and the interdependence between spectral channels,leading to unsatisfied classification performance.Thus,to address these issues,this paper proposes a Spatial-Spectral Joint Network(SSJN)model for hyperspectral image classification that utilizes spatial self-attention and spectral feature extraction.The SSJN model is derived from the ResNet18 network and implemented with the non-local and Coordinate Attention(CA)modules,which extract long-range dependencies on image space and enhance spatial features through the Branch Attention(BA)module to emphasize the region of interest.Furthermore,the SSJN model employs Conv-LSTM modules to extract long-range depen-dencies in the image spectral domain.This addresses the gradient disappearance/explosion phenom-ena and enhances the model classification accuracy.The experimental results show that the pro-posed SSJN model is more efficient in leveraging the spatial and spectral information of hyperspec-tral images on multidimensional microspectral datasets of CCA,leading to higher classification accuracy,and may have useful references for medical diagnosis of CCA.
基金supported by the National Natural Science Foundation of China(51071131)the Program for New Century Excellent Talents in University(NCET-10-0890)
文摘TiO_2 nanocrystals/graphene hybrids(TiO_2-G) with ultrafine TiO_2 nanocrystals(~7 nm in size) conformally coated on ultrathin graphene nanosheets(~ 2 layers thick) were successfully prepared via a facile one-pot solvothermal route under mediated conditions.With the feature of large surface area,abundant mesopores and high thermal stability,the TiOi-G nanohybrids exhibited large reversible Li-ion storage capacity with excellent cycling stability(629 mAh·g^(-1) after 400 cycles at a current of 60 mA·g^(-1)) and good rate capability(184 mAh·g^(-1) at a current density of 3 A·g^(-1)) due to the synergetic effects and strong interactions between the components,showing great promise in applications for advanced energy storage devices.
基金the National Natural Science Foundation of China(21501137)the Hubei Natural Science Foundation for financial support(2018CFB680)Support from the Australian Research Council(ARC)through ARC Discovery projects(DP130102699,DP 130102274,DP160102627)
文摘Photocatalytic solar energy conversion to hydrogen is sustainable and attractive for addressing the global energy and environmental issue. Herein, a novel photocatalytic system (NiS/Ni3S4 cocatalysts modified mesoporous TiO2) with superior photocatalytic hydrogen evolution capability through the synergistic impact of NiS/Ni3S4 (NiSx) cocatalyst and efficient hole scavenger has been demonstrated. The photocatalytic hydrogen evolution of TiO2-NiSx hybrids with the different content of NiSx and upon different organic hole scavengers was both investigated. The hybrid of TiO2 decorated with 3%(mole ratio of Ni^2+) NiSx cocatalyst in methanol solution showed the optimal photocatalytic hydrogen evolution rate of 981.59 μmol h^-1 g^-1 which was about 20 times higher than that of bare mesoporous TiO2. Our results suggested that the boosted hydrogen production performance is attributed to both the improved photoinduced electrons migration between NiS and Ni3S4 in cocatalyst and the high hole captured efficiency by hole scavengers of methanol.
基金Funding for this study was provided by National Basic Research Program of China(973 Program,Grant 2014CB138501)the National Transgenic Animal Breeding Grand Project(2014ZX08006–005)the Program for Changjiang Scholars and Innovation Research Teams in the University(IRT_15R62)
文摘Background: Follicle-stimulating hormone(FSH) is a gonadotropin synthesized and secreted by the pituitary gland.FSH stimulates follicle development and maturation in females. It also plays an important role in spermatogenesis in males, including humans and mice. However, the effects of FSH on male pigs are largely unknown. In this study,we generated transgenic pigs to investigate the effects of FSHα/β overexpression on reproductive traits in boars.Results: After five transgenic F_0 founders were crossed with wide-type pigs, 193 F_1 animals were obtained. Of these,96 were confirmed as transgenic. FSHα and FSHβ m RNAs were detected only in pituitary tissue. Transgenic boars exhibited significantly higher levels of FSHα and FSHβ m RNA, serum FSH, and serum testosterone, compared to ful-sib non-transgenic boars. Significant increases in testis weight, vas deferens diameter, seminiferous tubule diameter,and the number of Leydig cel s were observed, suggesting that the exogenous FSHα/β affects reproductive traits. Final y,transgenic and non-transgenic boars had similar growth performance and biochemical profiles.Conclusions: Pituitary-specific overexpression of FSHα/β genes is likely to impact reproductive traits positively, as indicated by enhancements in serum testosterone level, testis weight, the development of vas deferens, seminiferous tubules, and Leydig cells in transgenic boars. A high level of serum FSH induces secretion of serum testosterone,possibly by boosting the number of Leydig cells, which presumably increases the libido and the frequency of sexual activity in transgenic boars. Our study provides a preliminary foundation for the genetic improvement of reproductive traits in male pigs.
基金supported by National Key Research and Development Program of China(No.2017YFC1308800)Industry-University-Research Innovation Fund in Ministry of Education of the People’s Republic of China(No.2018A01013)。
文摘Objective:The goal of this study was to get preliminary insight on the intra-tumor heterogeneity in colitisassociated cancer(CAC)and to reveal a potential evolutionary trajectory from ulcerative colitis(UC)to CAC at the single-cell level.Methods:Fresh samples of tumor tissues and adjacent UC tissues from a CAC patient with pT3N1M0 stage cancer were examined by single-cell RNA sequencing(scRNA-seq).Data from The Cancer Genome Atlas(TCGA)and The Human Protein Atlas were used to confirm the different expression levels in normal and tumor tissues and to determine their relationships with patient prognosis.Results:Ultimately,4,777 single-cell transcriptomes(1,220 genes per cell)were examined,of which 2,250(47%)and 2,527(53%)originated from tumor and adjacent UC tissues,respectively.We defined the composition of cancer-associated stromal cells and identified six cell clusters,including myeloid,T and B cells,fibroblasts,endothelial and epithelial cells.Notable pathways and transcription factors involved in these cell clusters were analyzed and described.Moreover,the precise cellular composition and developmental trajectory from UC to UCassociated colon cancer were graphed,and it was predicted that CD74,CLCA1,and DPEP1 played a potential role in disease progression.Conclusions:scRNA-seq technology revealed intra-tumor cell heterogeneity in UC-associated colon cancer,and might provide a promising direction to identify novel potential therapeutic targets in the evolution from UC to CAC.
基金supported by the China Postdoctoral Science Foundation Funded Project(No.2021M690385)the National Natural Science Foundation of China(No.62101045).
文摘Infrared-visible image fusion plays an important role in multi-source data fusion,which has the advantage of integrating useful information from multi-source sensors.However,there are still challenges in target enhancement and visual improvement.To deal with these problems,a sub-regional infrared-visible image fusion method(SRF)is proposed.First,morphology and threshold segmentation is applied to extract targets interested in infrared images.Second,the infrared back-ground is reconstructed based on extracted targets and the visible image.Finally,target and back-ground regions are fused using a multi-scale transform.Experimental results are obtained using public data for comparison and evaluation,which demonstrate that the proposed SRF has poten-tial benefits over other methods.
基金the National Natural Science Foundation of China(51969011)the Gansu Science and Technology Program of China(20JR10RA274,21JR7RA301).
文摘Natural loess slopes are characterized by a strong geological structure,which is an important factor in maintaining slope stability.The magnitude and duration of the earthquake may disturb the soil structure at different levels degrees,locally changing the arrangement between soil particles.The process of rainfall humidification weakens the cementation between soil particles,and the disturbance and humidification change the structural state of the soil,which in turn causes sliding of the slope along with the decay of soil mechanical properties.As slope instability is often the result of a series of post-earthquake ripple effects,it is of great scientific significance to study the mechanism of slope instability due to the structural decay of earthquake-damaged loess exacerbated by rainfall.In this paper,the impact of structural decay of loess on slope stability is simulated by GEOSTUDIO software under three conditions:pre-earthquake rainfall,post-earthquake rainfall and earthquake,taking the landslide in Buzi Village,Min County,Gansu Province as an example.The comparative analysis of the calculation results shows that the structural properties of the slope without earthquake disturbance are influenced by infil-tration amount.When it is fully saturated,the structural properties are similar to those of saturated soil,and the safety factor is reduced by 12.9%.In addition,the earthquake intensity and duration have different degrees of structural damage to the soil.When the structure is fully damaged,it is similar to that of remodelled soil,and the safety factor is reduced by 45.84%.Notably,the process of the earthquake and the following humidification generates the most serious damage to the loess structure,with a reduction in the safety factor of up to 56.15%.The quantitative analysis above obviously illustrates that the post-earthquake rainfall causes the most severe damage to structural loess slopes,and the resulting landslide hazard should not be underestimated.
基金The work was supported by the National Natural Science Foundation of China(No.31500508)the Fundamental Research Funds for the Central Universities(No.2572020BD02)Natural Science Foundation of Heilongjiang Province(No.LH2020C041).
文摘This study explores the effects of vegetation and season on soil microorganisms and enzymatic activity of different wetlands in a temperate climate.Microbial carbon metabolism diversity was assessed using community-level physiological profiles(CLPP)with 31 different carbon substrates.CLPP indicated that significant interactions occur during carbon substrate metabolism of the microorganisms.Furthermore,the different types of vegetation present in the wetland ecosystem combined with the seasonal effects to influence microbial carbon metabolism and enzymatic activity.The most significant differences occurred to carbohydrates,carboxylic acids,and amino acids.The Mantel test confirmed positive correlations between soil enzymatic activities and microbial carbon metabolism.Soil microorganisms in Betula ovalifolia and Carex schmidtii wetlands used carbon substrates more efficiently in summer than those in other forested wetlands during other periods.Enzymatic activities also showed a similar trend as microbial carbon metabolism.The results demonstrate that microbial carbon metabolism patterns can be used as biological indicators in wetland ecological alterations due to vegetation type or to seasonal factors.
基金supported by the National Natural Science Foundation of China (No.31670496)。
文摘Changbai Mountain,central in the distribution of Pinus koraiensis,supports a virgin Korean pine forest with vertical gradient distribution.Soil extracellular enzyme activity(EEA) and enzyme stoichiometry(ES) are reliable indicators of the energy and nutrients utilized by microbial communities and of soil nutrient changes.We measured four representative soil EEAs(sucrase,cellulase,urease,acid phosphatase) at two soil layers(A:0-5 cm and B:5-10 cm)beneath Korean pine forest at five elevations on Changbai Mountain during growing season.The vertical and seasonal variations of EEAs were analyzed by soil enzyme stoichiometry to quantify the role of soil microorganism in the nutrient cycling process.The activities of four soil extracellular enzymes and the ratios of enzyme activity to soil microbial biomass carbon(EA/SMBC) did not vary with elevation.The first partition point of multiple regression trees was in September,and the second branch was split by elevation.Seasonal change had more influence on soil enzyme activity(A layer:75.6%;B layer:71.3%) than did change in elevation(A layer:7.8%;B layer:7.5%).Over one entire growing season,both vector length and vector angle were unchanged by elevation,but varied significantly by month.Among the soil physicochemical factors,available phosphorus and pH were the main factors affecting the four soil EE As.The ratio of basal area of the coniferous tree to broad-leaved tree species(S_(con)/S_(br)),soil microbial biomass carbon(MBC) and nitrogen(MBN) influenced the four soil EE As.The results of vector analysis revealed that C and N sources were generally sufficient,but P was limiting(vector angle> 45°).The vector angle for September was significantly higher than for other months.This result verified that phosphorus was the limiting factor affecting soil microorganism function in nutrient metabolism and cycling.Soil enzyme stoichiometry proved to be an efficient index for quantifying soil microorganismmediated nutrient cycling in the Korean pine ecosystem.
基金This research was funded by the Anhui Province Innovation and Entrepreneurship Training Program for Undergraduates(S2021110370073).
文摘Land salinization is a major form of land degradation,which is not conducive to the growth and quality of fruits and vegetables.Plant salt tolerance can be enhanced by arbuscular mycorrhizal fungi(AMF)or plant growth-promoting rhizobacteria(PGPR).This study examined the effects of inoculation with PGPR singly or in combination with AMF,on the growth and quality of tomato fruits under low saline conditions.Tomatoes were cultivated in a greenhouse with sterilized soil,inoculated with PGPR,AMF,or co-inoculated with PGPR and AMF,and NaCl solution(1%)was added to the soil.The results indicated that AMF+PGPR decreased the roots and shoot biomass accumulation,and increased the number and fresh biomass in tomato fruits to a certain extent compared with non-inoculated plants.PGPR and AMF mediated the level of reactive oxygen and lipid peroxidation,the accumulation of antioxidants,and the activity of antioxidant enzymes,including proanthocyanidins,flavonoids,ascorbic acid,superoxide dismutase,peroxidase,and total antioxidant capacity.Furthermore,PGPR,AMF,and PGPR+AMF improved the overall osmotic adjustments and accumulation of soluble sugars and soluble proteins.Therefore,the AMF-Funneliformis mosseae and PGPR-Bacillus subtilis can potentially alleviate the adverse effects of salt stress and be applied as a biofertilizer in agricultural practice.
基金This work is supported by Fundamental Research Funds for the Central Universities(Grant No.2021ZY34)the National Natural Science Foundation of China(Grant No.31870693).
文摘Genetic transformation is one of the key steps in the molecular breeding of chrysanthemum,which relies on an optimal regeneration and transformation system.However,the regeneration system of different chrysanthemum cultivars varies,and the regeneration time of most cultivars is long.To screen cultivars with highly efficient regeneration,leaves and shoot tip thin cell layers(tTCL)from eight chrysanthemum cultivars with different flower colors and flower types were cultured on Murashige and Skoog media(MS)supplemented with 1.0-5.0 mg L^(−1)6-benzylaminopurine(6-BA)and 0.1-1.0 mg L^(−1)α-naphthaleneacetic(NAA).The results showed that the most efficient regeneration media were MS+6-BA 1.0 mg L^(−1)+NAA 0.5 mg L^(−1)for leaf explants and MS+6-BA 5.0 mg L^(−1)+NAA 0.1 mg L^(−1)for tTCL explants.Subsequently,another 13 chrysanthemum cultivars were screened by using the media,and finally,three cultivars with high regeneration efficiency were obtained from 21 cultivars.Among these,C1 had the highest regeneration efficiency:the regeneration rate of leaf explants reached 80.0%after 42 days of culture,and the regeneration rate of tTCL explants reached 100%after 31 days of culture.Furthermore,we also established the transformation system for C1 as follows:preculturing for one day,infecting with Agrobacterium suspension(OD_(600)=0.6)for 10 min,and cultivating in the regeneration medium with 350 mg L^(−1)carbenicillin and 10 mg L^(−1)kanamycin,thus ultimately achieving a transformation rate of 4.0%.In this study,a new chrysanthemum cultivar with an efficient regeneration and transformation system was screened,which is beneficial to enrich the flower color of chrysanthemum transgenic plant recipients and to the functional research of flower color or type-related genes.
基金Scientific Research Project on Standardization of Trade in Services(FMBZH-1942)Innovation and Entrepreneurship Training Program for College Students of Shenyang Normal University(20196009)+1 种基金Decision-making and Consultation Project of Shenyang Science and Technology Innovation Think Tank(kxzk2020130)Scientific Research Project on Standardization of Trade in Services(FMBZH-1943)。
文摘The classification treatment of rural domestic waste is not only an important measure to realize the standardized development in rural areas,but also the action support to the concept of"ecological and suitable residence"put forward by the 19th CPC National Congress.This paper summarizes the traditional treatment methods of rural domestic waste in Northeast China,the present situation of rural waste classification treatment in Northeast China and the advantages of waste classification in rural areas of Northeast China.The specific measures to improve the current situation of rural waste classification treatment in Northeast China are put forward in terms of capital policy,classification methods and management means,in order to provide theoretical reference for the treatment of rural domestic waste in Northeast China.
文摘Image segmentation is an important research area in Computer Vision and the GVF-snake is an effective segmentation algorithm presented in recent years. Traditional GVF-snake algorithm has a large capture range and can deal with boundary concavities. However, when interesting object has deep concavities, traditional GVF-snake algorithm can’t converge to true boundaries exactly. In this paper, a novel improved scheme was proposed based on the GVF-snake. The central idea is introduce dynamic balloon force and tangential force to strengthen the static GVF force. Experimental results of synthetic image and real image all demonstrated that the improved algorithm can capture boundary concavities better and detect complex edges more accurately.
基金The work was conducted at the Henan Provincial Key Laboratory of Fruit and Cucurbit Biology and supported by the Joint Funds of the National Natural Science Foundation of China(U1804114)the Henan Province Outstanding Foreign Scholar Program(GZS2020007)the Modern Agricultural Industry Technology of Henan Province(S2014-11-G02).
文摘Anthocyanins,a categories of metabolites derived from flavonoid biosynthesis pathway,are responsible for the red color of peach.Anthocyanin metabolism is modulated by a complicated regulatory network.In this study,our results demonstrated that PpNAC25 was a component of anthocyanin regulatory network in peach.PpNAC25 showed a closed relationship with the well-known ripening-related gene NOR(no-ripening)and was highly expressed in peach fruit.Overexpression of PpNAC25 in poplar resulted in a redder shoot tips compared with EV control.PpNAC25 overexpression upregulated the anthocyanin biosynthetic and transportation genes in transcript levels and then increased anthocyanin contents.In Y1H and Luc/Ren assay,PpNAC25 bound to the promoter of the anthocyanin-activator PpMYB10.1 and PpMYB10.2 and activated its transcript.Moreover,PpNAC25 formed a heterodimer with PpNAC1,an anthocyanin-regulator.Our researches provide evidence that PpNAC25 may be a positive regulator of anthocyanin biosynthesis in peach fruit.
