Theoretical Modeling and Surface Roughness Prediction of Microtextured Surfaces in Ultrasonic Vibration-Assisted Milling

Textured surfaces with certain micro/nano structures have been proven to possess some advanced functions,such as reducing friction,improving wear and increasing wettability.Accurate prediction of micro/nano surface textures is of great significance for the design,fabrication and application of functional textured surfaces.In this paper,based on the kinematic analysis of cutter teeth,the discretization of ultrasonic machining process,transformation method of coordinate systems and the cubic spline data interpolation,an integrated theoretical model was established to characterize the distribution and geometric features of micro textures on the surfaces machined by different types of ultrasonic vibration-assisted milling(UVAM).Based on the theoretical model,the effect of key process parameters(vibration directions,vibration dimensions,cutting parameters and vibration parameters)on tool trajectories and microtextured surface morphology in UVAM is investigated.Besides,the effect of phase difference on the elliptical shape in 2D/3D ultrasonic elliptical vibration-assisted milling(UEVAM)was analyzed.Compared to conventional numerical models,the method of the cubic spline data interpolation is applied to the simulation of microtextured surface morphology in UVAM,which is more suitable for characterizing the morphological features of microtextured surfaces than traditional methods due to the presence of numerous micro textures.The prediction of surface roughness indicates that the magnitude of ultrasonic amplitude in z-direction should be strictly limited in 1D rotary UVAM,2D and 3D UEVAM due to the unfavorable effect of axial ultrasonic vibration on the surface quality.This study can provide theoretical guidance for the design and fabrication of microtextured surfaces in UVAM.

Heteroepitaxial Growth and Characterization of 3C-SiC Films on Si Substrates Using LPVCVD

3C-SiC films have been deposited on Si （111） substrates by the low-pressure vertical chemical vapor deposition （LPVCVD） with gas mixtures of SiH4, Calls and H2. The growth mechanism of SiC films can be obtained through the observations using field emission scanning electron microscope （FESEM）. It is found that the growth process varies from surface control to diffusion control when the deposition temperature increases from 1270 to 1350℃. The X-ray diffraction （XRD） patterns show that the SiC films have good crystallinity and strong preferred orientation.The results of the high resolution transmission electron microscopy （HRTEM） image and the transmission electron diffraction （TED） pattern indicate a peculiar superlattice structure of the film. The values of the binding energy in the high resolution X-ray photoelectron spectra （XPS） further confirm the formation of SiC.

The Marking Technology in Motion Capture for the Complex Locomotor Behavior of Flexible Small Animals(Gekko gecko)

Animals have evolved a variety of behavior patterns to adapt to the environment. Motion-capture technology is utilized to quantify and characterize locomotor behaviors to reveal the mechanisms of animal motion. In the capture of flexible, small animals with complex locomotor behaviors, the markers interfere with each other easily, and the motion forms(bending, twisting) of the moving parts are obviously different;thus, it is a great challenge to realize accurate quantitative characterization of complex locomotor behaviors. The correlation between the marker properties, including the size and space length, and the precision of the system are revealed in this paper, and the effects of diverse marker shapes on the capturing accuracy of the captured objects in different motion forms were tested. Results showed that the precision of system is significantly improved when the ratio of the space length to the diameter of the markers is larger than four;for the capture of the spatial twisting motion of the flexible object, the hexagon markers had the lowest spatial lost-marker rate relative to the circle, triangle, and square. Customized markers were used to capture the locomotor behavior of the gecko-inspired robot(rigid connection) and the gecko(flexible connection). The results showed that this marking technology can achieve high accuracy of motion capture for geckos(the average deviation was approximately 0.32 mm, and the average deviation’s variation rate was approximately 0.96%). In this paper, the marking technology for the motion capture of flexible, small animals with complex motion is proposed;it can effectively improve the system precision as well as the capture accuracy, and realize the quantitative characterization of the complex motion of flexible, small objects. It provides a reliable technical means to deeply study the evolution of the motion function of small animals and advance systematic research of motion-capture technology.

An effective FeCl_3 template assisted synthesis of nitrogen, sulfur and iron-tridoped carbon nanosheets from a protic salt for oxygen reduction electrocatalysis

Doping heteroatoms into carbon matrix was an efficient strategy to achieve a high-performance non-precious metal oxygen reduction electrocatalyst. Herein, an in situ templated synthesis strategy has been demonstrated to fabricate nitrogen, sulfur and iron-tridoped mesoporous carbon nanosheets（NSFC） with FeCl3 as the two-dimensional template. And a protic salt was used as the carbon, nitrogen and sulfur source, which realized one-step preparation of catalyst materials and the co-doping of various heteroatoms simultaneously. As a result, the optimized NSFC catalyst possessed comparable catalytic activity and selectivity, while superior durability and methanol permeability resistance to commercial 30 wt% Pt/C catalyst in alkaline media. Such excellent performance should be ascribed to the efficient multiple-element doping into the large-specific-surface-area and highly stable carbon nanosheets realized by the in situ synthesis route with a novel FeCl3 template.

Nanotechnology and Nanomedicine: A Promising Avenue for Lung Cancer Diagnosis and Therapy

Lung cancer is a leading cause of cancer-related death worldwide,with a very poor overall five-year survival rate.The intrinsic limitations associated with the conventional diagnosis and therapeutic strategies used for lung cancer have motivated the development of nanotechnology and nanomedicine approaches,in order to improve early diagnosis rate and develop more effective and safer therapeutic options for lung cancer.Cancer nanomedicines aim to individualize drug delivery,diagnosis,and therapy by tailoring them to each patient’s unique physiology and pathological features—on both the genomic and proteomic levels—and have attracted widespread attention in this field.Despite the successful application of nanomedicine techniques in lung cancer research,the clinical translation of nanomedicine approaches remains challenging due to the limited understanding of the interactions that occur between nanotechnology and biology,and the challenges posed by the toxicology,pharmacology,immunology,and largescale manufacturing of nanoparticles.In this review,we highlight the progress and opportunities associated with nanomedicine use for lung cancer treatment and discuss the prospects of this field,together with the challenges associated with clinical translation.

Prediction of Driver Gene Matching in Lung Cancer NOG/PDX Models Based on Artificial Intelligence

Patient-derived tumor xenografts(PDXs)are a powerful tool for drug discovery and screening in cancer.However,current studies have led to little understanding of genotype mismatches in PDXs,leading to massive economic losses.Here,we established PDX models from 53 lung cancer patients with a genotype matching rate of 79.2%(42/53).Furthermore,17 clinicopathological features were examined and input in stepwise logistic regression(LR)models based on the lowest Akaike information criterion(AIC),least absolute shrinkage and selection operator(LASSO)-LR,support vector machine(SVM)recursive feature elimination(SVM-RFE),extreme gradient boosting(XGBoost),gradient boosting and categorical features(Cat Boost),and the synthetic minority oversampling technique(SMOTE).Finally,the performance of all models was evaluated by the accuracy,area under the receiver operating characteristic curve(AUC),and F1 score in 100 testing groups.Two multivariable LR models revealed that age,number of driver gene mutations,epidermal growth factor receptor(EGFR)gene mutations,type of prior chemotherapy,prior tyrosine kinase inhibitor(TKI)therapy,and the source of the sample were powerful predictors.Moreover,Cat Boost(mean accuracy=0.960;mean AUC=0.939;mean F1 score=0.908)and the eight-feature SVM-RFE(mean accuracy=0.950;mean AUC=0.934;mean F1 score=0.903)showed the best performance among the algorithms.Meanwhile,application of the SMOTE improved the predictive capability of most models,except Cat Boost.Based on the SMOTE,the ensemble classifier of single models achieved the highest accuracy(mean=0.975),AUC(mean=0.949),and F1 score(mean=0.938).In conclusion,we established an optimal predictive model to screen lung cancer patients for non-obese diabetic(NOD)/Shi-scid,interleukin-2 receptor(IL-2R)γ^(null)(NOG)/PDX models and offer a general approach for building predictive models.

Sulfation of chondroitin and bile acids converges to antagonize Wnt/β-catenin signaling and inhibit APC deficiency-induced gut tumorigenesis

Sulfation is a crucial and prevalent conjugation reaction involved in cellular processes and mammalian physiology.3’-Phosphoadenosine 5’-phosphosulfate(PAPS)synthase 2(PAPSS2)is the primary enzyme to generate the universal sulfonate donor PAPS.The involvement of PAPSS2-mediated sulfation in adenomatous polyposis coli(APC)mutation-promoted colonic carcinogenesis has not been reported.Here,we showed that the expression of PAPSS2 was decreased in human colon tumors along with cancer stages,and the lower expression of PAPSS2 was correlated with poor prognosis in advanced colon cancer.Gut epithelial-specific heterozygous Apc deficient and Papss2-knockout(Apc^(Δgut-Het)Papss2^(Δgut))mice were created,and the phenotypes were compared to the spontaneous intestinal tumorigenesis of Apc^(Δgut-Het)mice.Apc^(Δgut-Het)Papss2^(Δgutmice) were more sensitive to gut tumorigenesis,which was mechanistically accounted for by the activation of Wnt/β-catenin signaling pathway due to the suppression of chondroitin sulfation and inhibition of the farnesoid X receptor(FXR)-transducin-like enhancer of split 3(TLE3)gene regulatory axis.Chondroitin sulfate supplementation in Apc^(Δgut-Het)Papss2^(Δgutmice) alleviated intestinal tumorigenesis.In summary,we have uncovered the protective role of PAPSS2-mediated chondroitin sulfation and bile acids-FXR-TLE3 activation in the prevention of gut carcinogenesis via the antagonization of Wnt/β-catenin signaling.Chondroitin sulfate may be explored as a therapeutic agent for Papss2 deficiency-associated colonic carcinogenesis.

Permeable carbon fiber based thermoelectric film with exceptional EMI shielding performance and sensor capabilities

Thermoelectric(TE)technologies offer a promising approach for directly converting skin heat into electricity for wearable electronics.Recognizing p-type Sb2Tes and n-type BizTes as top-performing materials at room temperature,their rigid inorganic structure,with ultralow moisture permeability,poses challenges in warm and humid conditions,fostering bacterial growth and potential skin issues.To address this issue,we developed a cross-linked core-shell structure by electrodepositing Sb_(2)Te_(3)(Bi_(2)Te_(3))onto carbon fiber(CF).This architecture significantly improved the electrical conductivity and the Seebeck coefficient,resulting in a remarkable 300-fold increase in the power factor compared to that of pure CF.The CF/Sb_(2)Te_(3) and CF/Bi2Te films demonstrated optimal power factors of 450 and 121μW·m^(-1)·K^(-2),respectively.Moreover,the fabricated films exhibited outstanding moisture permeability,over 3000 g·m^(-2)·d^(-1),exceptional electromagnetic interference shielding efficiency approaching 93 dB,and versatility as sensors for language assistance and respiratory monitoring.These attributes underline their broad applicability,emphasizing their suitability for human health protection in diverse scenarios.

rpoS基因缺失突变对荧光假单胞菌胁迫耐受性、群体感应及腐败活性的影响

【目的】微生物活动是引起食品腐败的主要原因,研究食品腐败菌的腐败作用调控机制对于保证食品的质量和安全具有重要意义。荧光假单胞菌是一种代表性的食品腐败菌,本文旨在研究RNA聚合酶的选择性sigma因子Rpo S在荧光假单胞菌致腐败过程中的作用。【方法】运用同源重组的方法构建荧光假单胞菌冷藏鱼分离株的rpo S基因缺失突变株,比较野生型和突变株暴露于不同胁迫条件下的存活率;通过液相色谱-串联质谱(LC-MS/MS)分析野生型和突变株产生高丝氨酸内酯类(AHLs)群体感应信号分子的种类和含量;检测野生型和突变株接种于灭菌三文鱼汁后4°C贮存过程中的菌落总数和挥发性盐基氮的生成量。【结果】成功构建了荧光假单胞菌rpo S基因缺失突变株。rpo S基因的缺失导致荧光假单胞菌对10 mmol/L H2O2和15%乙醇的耐受性显著降低,对150μg/m L结晶紫和175 mmol/L醋酸的耐受性有一定程度增强,不影响其对47°C和20%Na Cl的耐受性。荧光假单胞菌在rpo S基因缺失突变后长链信号分子C_(10)-HSL、C_(12)-HSL和C_(14)-HSL的含量增加。在灭菌三文鱼汁中的腐败活性检测表明rpo S基因缺失可导致荧光假单胞菌挥发性盐基氮的生成量显著降低。【结论】荧光假单胞菌的Rpo S不仅调节细菌对多种胁迫条件的耐受性,还影响AHL群体感应和腐败活性。

The nucleocapsid protein of rice stripe virus in cell nuclei of vector insect regulates viral replication

Rice stripe virus(RSV)transmitted by the small brown planthopper causes severe rice yield losses in Asian countries.Although viral nuclear entry promotes viral replication in host cells,whether this phenomenon occurs in vector cells remains unknown.Therefore,in this study,we systematically evaluated the presence and roles of RSV in the nuclei of vector insect cells.We observed that the nucleocapsid protein(NP)and viral genomic RNAs were partially transported into vector cell nuclei by utilizing the importin a nuclear transport system.When blocking NP nuclear localization,cytoplasmic RSV accumulation significantly increased.In the vector cell nuclei,NP bound the transcription factor YY1 and affected its positive regulation to FAIM.Subsequently,decreased FAIM expression triggered an antiviral caspase-dependent apoptotic reaction.Our results reveal that viral nuclear entry induces completely different immune effects in vector and host cells,providing new insights into the balance between viral load and the immunity pressure in vector insects.

Hyaluronidase-triggered anticancer drug and siRNA delivery from cascaded targeting nanoparticles for drug- resistant breast cancer therapy

Drug resistance renders standard chemotherapy ineffective in the treatment of connective tissue growth factor （CTGF）-overexpressing breast cancer. By co-embedding the breast tumor cell-penetrating peptide （PEGA-pVEC） and hyaluronic acid （HA） as a targeting media, novel cascaded targeting nanoparficles （HACT NPs） were created on a rattle mesoporous silica （rmSiO2） scaffold for the pinpoint delivery of siRNAs along with an anticancer drug, aiming at overcoming the drug resistance of CTGF-overexpressing breast cancer in vivo. The targeting nanoparticles selectively accumulated in the vasculature under the guidance of the PEGA-pVEC peptide, cascaded by receptor-mediated endocytosis with the aid of another targeting agent, HA, presenting a greater in vivo tumor targeting ability than single targeting ligand vectors. In addition, an HA shell prevented the leakage of therapeutic drugs during the cargo transport process, until the hyaluronidase （HAase）-triggered degradation upon lysosomes entering, guaranteeing a controllable drug release inside the target cells. When the protective shell disintegrates, the released siRNA took charge to silence the gene associated with drug resistance, CTGF, thus facilitating doxorubicin-induced apoptosis. The cascaded targeting media （PEGA-pVEC and HA） advances precision-guided therapy in vivo, while the encapsulation of siRNAs into a chemotherapy drug delivery system provides an efficient strategy for the treatment of drug resistance cancers.

Cloud-based storage and computing for remote sensing big data:a technical review

The rapid growth of remote sensing big data(RSBD)has attracted considerable attention from both academia and industry.Despite the progress of computer technologies,conventional computing implementations have become technically inefficient for processing RSBD.Cloud computing is effective in activating and mining large-scale heterogeneous data and has been widely applied to RSBD over the past years.This study performs a technical review of cloud-based RSBD storage and computing from an interdisciplinary viewpoint of remote sensing and computer science.First,we elaborate on four critical technical challenges resulting from the scale expansion of RSBD applications,i.e.raster storage,metadata management,data homogeneity,and computing paradigms.Second,we introduce state-of-the-art cloud-based data management technologies for RSBD storage.The unit for manipulating remote sensing data has evolved due to the scale expansion and use of novel technologies,which we name the RSBD data model.Four data models are suggested,i.e.scenes,ARD,data cubes,and composite layers.Third,we summarize recent research on the application of various cloud-based parallel computing technologies to RSBD computing implementations.Finally,we categorize the architectures of mainstream RSBD platforms.This research provides a comprehensive review of the fundamental issues of RSBD for computing experts and remote sensing researchers.

Vertical accuracy assessment of freely available digital elevation models over low-lying coastal plains

The frequency of coastal flood damages is expected to increase significantly during the twenty-first century as sea level rises in the coastal floodplain.Coastal digital elevation model(DEM)data describing coastal topography are essential for assessing future flood-related damages and understanding the impacts of sea-level rise.The Shuttle Radar Topography Mission(SRTM)and Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model(ASTER GDEM)are currently the most accurate and freely available DEM data.However,an accuracy assessment specifically targeted at DEMs over low elevation coastal plains is lacking.The present study focuses on these areas to assess the vertical accuracy of SRTM and ASTER GDEM using Ice,Cloud,and land Elevation Satellite,Geoscience Laser Altimeter System(ICESat/GLAS)and Real Time Kinematic(RTK)Global Positioning System(GPS)field survey data.The findings show that DEM accuracy is much better than the mission specifications over coastal plains.In addition,optical remote sensing image analysis further reveals the relationship between DEM vertical accuracy and land cover in these areas.This study provides a systematic approach to assess the accuracy of DEMs in coastal zones,and the results highlight the limitations and potential of these DEMs in coastal applications.

Characterization of protein-protein interactions between rice viruses and vector insects

Planthoppers are the most notorious rice pests,because they transmit various rice viruses in a persistent-propagative manner.Protein–protein interactions(PPIs)between virus and vector are crucial for virus transmission by vector insects.However,the number of known PPIs for pairs of rice viruses and planthoppers is restricted by low throughput research methods.In this study,we applied DeNovo,a virus-host sequence-based PPI predictor,to predict potential PPIs at a genome-wide scale between three planthoppers and five rice viruses.PPIs were identified at two different confidence thresholds,referred to as low and high modes.The number of PPIs for the five planthopper-virus pairs ranged from 506 to 1985 in the low mode and from 1254 to 4286 in the high mode.After eliminating the“one-too-many”redundant interacting information,the PPIs with unique planthopper proteins were reduced to 343–724 in the low mode and 758–1671 in the high mode.Homologous analysis showed that 11 sets and 31 sets of homologous planthopper proteins were shared by all planthopper-virus interactions in the two modes,indicating that they are potential conserved vector factors essential for transmission of rice viruses.Ten PPIs between small brown planthopper and rice stripe virus(RSV)were verified using glutathione-S-transferase(GST)/His-pull down or co-immunoprecipitation assay.Five of the ten PPIs were proven positive,and three of the five SBPH proteins were confirmed to interact with RSV.The predicted PPIs provide new clues for further studies of the complicated relationship between rice viruses and their vector insects.

Enhanced photocatalytic degradation of sulfamethoxazole by stable hierarchical Fe_(2)O_(3)/Co_(3)O_(4) heterojunction on nickel foam

A facile approach was successfully employed to prepare Fe_(2)O_(3)/Co_(3)O_(4)nanosheet arrays on nickel foams(Fe_(2)O_(3)/Co_(3)O_(4)@NF),which owned such advantages as narrow band gap energies and high separation rate of photoexcited electron-hole pairs.The combination of Fe_(2)O_(3)and Co_(3)O_(4)dramatically enhanced the photocatalytic activity towards sulfamethoxazole(SMZ)degradation,with the highest catalytic efficiency of k=0.0538 min^(−1),which was much higher than that of Fe_(2)O_(3)@NF(0.0098 min^(−1))and Co_(3)O_(4)@NF(0.0094 min^(−1)).The introduction of Ni foam could not only act as the support to anchor photocatalyst,but also work as the electron mediator to promote the transition of electron-hole pairs.Reactive species trapping experiments combined with electron paramagnetic resonance analysis confirmed^(·)O^(-)_(2)−was primarily responsible for SMZ degradation.Furthermore,Fe_(2)O_(3)/Co_(3)O_(4)@NF was effective and almost unaffected by inorganic cations and anions in aqueous solution.This study could provide a facile and promising path for the construction of self-supported metal oxide-based heterojunction with high efficiency and strong stability.

Chemical basis of pregnane X receptor activators in the herbal supplement Gancao (licorice)

Background and aims:The herbal supplement Gancao,also known as licorice,belongs to the genus Glycyrrhiza and has been used worldwide for its hepatoprotective effect.Recent studies have raised concerns about potential herb-drug interactions associated with Gancao via pregnane X receptor(PXR)-mediated induction of hepatic cytochrome P4503A4(CYP3A4).The current work aimed to determine the phytochemicals in Gancao that activate PXR and induce CYP3A4.Methods:DPX2 cells were used for cell-based PXR reporter assays.The phytochemicals in Gancao extract were identified using a metabolomics approach.The effects of PXR activators identified from in vitro studies were further investigated in PXR-and CYP3A4-humanized mouse models.Results:Gancao was verified to be a PXR-activating herb.Two major phytochemicals in Gancao,gly-cyrrhizin(GZ)and glycyrrhetinic acid(GA),did not activate PXR in the cell-based reporter assays.However,glabridin was shown to activate PXR in a dose-dependent manner.In vivo studies confirmed that GZ is not a PXR activator and glabridin is a weak PXR activator.Although GA did not active PXR in vitro,it induced CYP3A4 expression in a PXR-dependent manner in the PXR-and CYP3A4-humanized mice.

Impact of obese levels on the hepatic expression of nuclear receptors and drug-metabolizing enzymes in adult and offspring mice

The prevalence of obesity-associated conditions raises new challenges in clinical medication.Although altered expression of drug-metabolizing enzymes(DMEs)has been shown in obesity,the impacts of obese levels(overweight,obesity,and severe obesity)on the expression of DMEs have not been elucidated.Especially,limited information is available on whether parental obese levels affect ontogenic expression of DMEs in children.Here,a high-fat diet(HFD)and three feeding durations were used to mimic different obese levels in C57BL/6 mice.The hepatic expression of five nuclear receptors(NRs)and nine DMEs was examined.In general,a trend of induced expression of NRs and DMEs(except for Cyp2c29 and 3a11)was observed in HFD groups compared to low-fat diet(LFD)groups.Differentialeffects of HFD on the hepatic expression of DMEs were found in adult mice at different obese levels.Family-based dietary style of an HFD altered the ontogenic expression of DMEs in the offspring older than 15 days.Furthermore,obese levels of parental mice affected the hepatic expression of DMEs in offspring.Overall,the results indicate that obese levels affected expression of the DMEs in adult individuals and that of their children.Drug dosage might need to be optimized based on the obese levels.

Activation of PXR causes drug interactions with Paxlovid in transgenic mice

Paxlovid is a nirmatrelvir(NMV)and ritonavir(RTV)co-packaged medication used for the treatment of coronavirus disease 2019(COVID-19).The active component of Paxlovid is NMV and RTV is a pharmacokinetic booster.Our work aimed to investigate the drug/herb-drug interactions associated with Paxlovid and provide mechanism-based guidance for the clinical use of Paxlovid.By using recombinant human cytochrome P450s(CYPs),we confirmed that CYP3A4 and 3A5 are the major enzymes responsible for NMV metabolism.The role of CYP3A in Paxlovid metabolism were further verified in Cyp3a-null mice,which showed that the deficiency of CYP3A significantly suppressed the metabolism of NMV and RTV.Pregnane X receptor(PXR)is a ligand-dependent transcription factor that upregulates CYP3A4/5 expression.We next explored the impact of drug-and herb-mediated PXR activation on Paxlovid metabolism in a transgenic mouse model expressing human PXR and CYP3A4/5.We found that PXR activation increased CYP3A4/5 expression,accelerated NMV metabolism,and reduced the systemic exposure of NMV.In summary,our work demonstrated that PXR activation can cause drug interactions with Paxlovid,suggesting that PXR-activating drugs and herbs should be used cautiously in COVID-19 patients receiving Paxlovid.

Carbon dots modified nanoflower petals with super enhanced nitrogen electro-reduction efficiency

Nitrogen electro-reduction reaction(NERR)is a promising alternative method for ammonia production to the Haber-Bosch approach due to mild reaction conditions and free harmful by-product emission.A formidable challenge in bringing NERR closer to the practical application is developing an electrocatalyst which can simultaneously improve the Faraday efficiency and reduce the reaction over-potential.Herein,we fabricated a catalyst of nitrogen-doped carbon dots modified copper-phosphate nanoflower petals(Cu Po-NCDs NF)via a self-assembly method.The flower structure endowed the Cu Po-NCDs NF with large specific surface area,and thus enabled more active sites to be exposed.In particular,we demonstrated that the NCDs modified Cu Po petals with flower-like structure can accelerate the interfacial proton-electron transfer,suppressing the competing hydrogen evolution reaction and promoting the desired NERR process.Ultimately,for the CuPo-NCDs NF catalyzed NERR,the FE_(NH_(3))and the reaction potential both were boosted,the resultant energy efficiency of NERR reached a record-breaking value of 56.5%,and the NH_(3)yield rate increased by 7 times compared to NCDs.This study provides a novel catalyst with a new pathway to boost the NERR.

Research on SAR data integrated processing methodology oriented on earth environment factor inversions

As an important advanced technique in the field of Earth observations,Synthetic Aperture Radar(SAR)plays a key role in the study of global environmental change,resources exploration,disaster mitigation,urban environments,and even lunar exploration.However,studies on imaging,image processing,and Earth factor inversions have often been conducted independently for a long time,which significantly limits the application effectiveness of SAR remote sensing due to the lack of an overall integrated design scheme and integrated information processing.Focusing on this SAR application issue,this paper proposes and describes a new SAR data processing methodology–SAR data integrated processing(DIP)oriented on Earth environment factor inversions.The simple definition,typical integrated modes and overall implementation ideas are introduced.Finally,focusing on building information extraction(man-made targets)and sea ice classification(natural targets)applications,three SAR DIP methods and experiments are conducted.Improved results are obtained under the guidance of the SAR DIP framework.Therefore,the SAR DIP theoretical framework and methodology represent a new SAR science application mode that has the capability to improve the SAR remote sensing quantitative application level and promote the development of new theories and methodologies.