•Three-stage evaluation method was established based on Logistic Regression Model.•The weight of the model avoids the subjective factor of human being.•Modularly assesses the various elements of ...ecotechnology.•The evaluation process is dynamic because of the weight updating.•The model provides reference for the design of ecological engineering construction scheme.
In order to cope with degradation and unsustainability of ecosystems, many countries had developed a large number of ecotechnologies. Before learning ecotechnology from other regions, we should evaluate the technology to judge whether it is suitable for our own situation. Based on the lack of scientific and reasonable index system as well as evaluation model in ecotechnology evaluation, we constructed a comprehensive evaluation index system consist of the eco-technology attributes, the implementation conditions, the implementation effects and the popularization potential; and established three-stage evaluation method with Logistic Regression Model according to the analysis of advantages and disadvantages of commonly used assessment models. According to our understanding degree of ecotechnology, the model could not only realize the comprehensive evaluation of ecotechnology as a whole, but also modularly assess the various elements of technology, and the evaluation process is dynamic and objective. We realized the evaluation model of ecotechnology based on the investigation on soil and water conservation technology in the Loess Plateau, and verified its effectiveness using the data of Nangou Village. The results show that the three-stage evaluation method based on Logistic Regression Model is suitable for ecotechnology assessment. The model can not only provide scientific and effective support for the introduction and popularization of ecotechnology, but also provide reference for the design of ecological engineering construction scheme.
A digital elevation model (DEM) can be obtained by removing ground objects, such as buildings, in a digital surface model (DSM) generated by the interferometric synthetic aperture radar (InSAR) ...system. However, the imaging mechanism will cause unreliable DSM areas such as layover and shadow in the building areas, which seriously affect the elevation accuracy of the DEM generated from the DSM. Driven by above problem, this paper proposed a novel DEM reconstruction method. Coherent Markov random field (CMRF) was first used to segment unreliable DSM areas. With the help of coherence coefficients and residue information provided by the InSAR system, CMRF has shown better segmentation results than traditional traditional Markov random field (MRF) which only use fixed parameters to determine the neighborhood energy. Based on segmentation results, the hierarchical adaptive surface fitting (with gradually changing the grid size and adaptive threshold) was set up to locate the non-ground points. The adaptive surface fitting was superior to the surface fitting-based method with fixed grid size and threshold of height differences. Finally, interpolation based on an inverse distance weighted (IDW) algorithm combining coherence coefficient was performed to reconstruct a DEM. The airborne InSAR data from the Institute of Electronics, Chinese Academy of Sciences has been researched, and the experimental results show that our method can filter out buildings and identify natural terrain effectively while retaining most of the terrain features.
•Weighted composite index method was used in the technology evaluation.•The evaluation framework comprises two levels: the target layer and index layer.•The index system can reveal the attributes, ...suitability and potential of technology.•Gaoxigou obtained the highest score (4.59) evaluated by the evaluation index system.
Soil and water losses are major environmental problems throughout the world. Many soil and water conservation techniques have been developed to protect food production and maintain ecological security. However, the current evaluation methods focus mainly on certain aspect of soil and water conservation technique, such as evaluating the implementation effects, and thus they cannot fully assess the characteristics of the technique, and insufficient consideration is given to the suitability of the technique itself and the implementation area. Therefore, the purpose of the study was to develop and test an evaluation framework for comprehensively assessing soil and water conservation technique as well as its impact. This comprehensive evaluation method was developed by theoretical primary selection and expert screening to assess the attributes, suitability, application effects, and potential of a specific technique. The evaluation framework comprises two levels: the target layer and index layer. The target layer assesses the adaptation effect of the ecological management technique. The index layer includes 5 first-level indices, 14 s-level indices, and 29 third-level indices. The analytic hierarchy process method was used to determine the weight of each index and the weighted composite index method was employed to construct the evaluation model. Soil and water conservation techniques applied in five small watersheds on the Loess Plateau in China were evaluated successfully with the evaluation framework (Gaoxigou 4.59, Wangdonggou 4.14, Xiannangou 3.89, Zhifanggou 3.81 and Chengjiagou 3.69), all of which reflected the actual situation for these local soil and water conservation techniques. The proposed evaluation framework can provide a scientific basis and key technical support for assessments of soil and water conservation techniques, as well as facilitating the development of innovative soil and water conservation techniques.
Drought, bringing the risks of agricultural production losses, is becoming a globally environmental stress. Previous results suggested that legumes with nodules exhibited superior drought tolerance ...compared with the non-nodule group. To investigate the molecular mechanism of rhizobium symbiosis impacting drought tolerance, transcriptome and sRNAome sequencing were performed to identify the potential mRNA-miRNA-ncRNA dynamic network. Our results revealed that seedlings with active nodules exhibited enhanced drought tolerance by reserving energy, synthesizing N-glycans, and medicating systemic acquired resistance due to the early effects of symbiotic nitrogen fixation (SNF) triggered in contrast to the drought susceptible with inactive nodules. The improved drought tolerance might be involved in the decreased expression levels of miRNA such as mtr_miR169l-5p, mtr_miR398b, and mtr_miR398c and its target genes in seedlings with active nodules. Based on the negative expression pattern between miRNA and its target genes, we constructed an mRNA-miR169l-ncRNA ceRNA network. During severe drought stress, the lncRNA alternative splicings
and
competitively interacted with mtr_miR169l-5p, which upregulated the expression of NUCLEAR FACTOR-Y (NF-Y) transcription factor subfamily NF-YA genes
and
to regulate their downstream drought-response genes. Our results emphasized the importance of SNF plants affecting drought tolerance. In conclusion, our work provides insight into ceRNA involvement in rhizobium symbiosis contributing to drought tolerance and provides molecular evidence for future study.
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•H2S conversion is highly up to 80.33% at 788°C under microwave irradiation.•Catalytic activity in the MCRM is much higher than that in the CRM.•Microwave irradiation can break ...chemical equilibrium of H2S decomposition reaction.•Microwave irradiation exhibits the selective catalytic effect.
The direct decomposition of H2S into H2 and S has attracted increasing attention because it can simultaneously recover valuable H2 and elemental sulfur from a highly toxic waste gas. However, the thermal equilibrium limitation in this reaction presents a challenge to direct decomposition of H2S with high efficiency. Here we present a highly effective approach for direct decomposition of H2S into H2 and S that can be achieved by microwave catalysis over MeS-based (Me=Ni,Co) microwave catalysts. These catalysts display outstanding activity with H2S conversion respectively up to 80.33% for the CoS/γ-Al2O3/BaMn0.2Cu0.8O3 at 788°C and 44.98% for NiS/γ-Al2O3/BaMn0.2Cu0.8O3 at 650°C under microwave irradiation, which remarkably exceeds the corresponding H2S equilibrium conversion at the conventional reaction condition. It is found that microwave irradiation exhibited the selective catalytic effect, which can break the chemical equilibrium of H2S decomposition reaction over MeS-based (Me=Ni,Co) microwave catalysts under microwave irradiation.
Owing to the vast development of Synthetic Aperture Radar (SAR), especially the improvement of spatio-temporal resolution, observing and quantifying the complex and dynamic flood process becomes ...increasingly feasible. Utilizing the Sentinel-1 Ground Range Detected (GRD) dataset, we proposed an improved probabilistic flood mapping method combining image Pareto Scaling (PS) normalization and Bayesian probability estimation. We validated our method during a flood event in Xinjiang County, Shaanxi Province of China in October 2021 using a high spatial resolution (0.1 m) Unmanned Aerial Vehicle (UAV) image. The overall reliability of the new method agrees 95% to the UAV measurements and achieves the highest accuracy (85.2%) when compared to the Sentinel-1 dual-polarized water index (SDWI) threshold method and the Z-score method. Our results distinguished four flood stages: flood emergence, peak, receding, and disappearance, which provide valuable insights into the dynamic change process of floods. Notably, we observed that pixels with different flood probabilities exhibited distinct temporal characteristics. The extremely high probability pixel experienced rapid fluctuations, while the medium probability pixel showed more gradual changes over time. We believe our proposed method can enhance our understanding of flood-prone areas and their dynamics so that decision-makers can develop targeted mitigation measures and response plans.
Human activity detection plays an important role in social security monitoring. Since human activity is very weak, it is necessary to employ the repeat-pass Interferometric Synthetic Aperture Radar ...(InSAR) technique to detect the potential activity between two data acquisitions; a high level of coherence is required for detection. With the object of detecting human activity of interest, this paper presents a coherence improvement approach based on sub-aperture InSAR for human activity detection. Different sub-apertures contain different scattering information of the target, as they represent the backscatter of the target from a different range of angles. Integrating corresponding sub-aperture interferometric results can improve the coherence between two complex images compared to the entire synthetic aperture, as well as removing a little disturbance in some circumstances. To validate the method presented in this paper, the actual airborne Ka-band frequency modulated continuous wave (FMCW) InSAR data acquired by the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS) are utilized. The experimental results demonstrate that the proposed method can effectively improve the coherence between two complex SAR images and can validly detect human activity of interest.
The interferometric synthetic aperture radar (InSAR) elevation inversion method based on the backprojection (BP) imaging model simplifies the interferometric processing chain where image registration ...and phase unwrapping are not required. Meanwhile, BP algorithm is suitable for radar with different imaging modes and geometry. However, the existing calibration methods are all aimed at traditional InSAR which adopts frequency domain imaging algorithm, but the calibration method for backprojection InSAR elevation inversion model has not been published. In this paper, we propose a novel InSAR calibration method which combines Fast Fourier Transform (FFT) estimation method with sensitivity equation method based on backprojection imaging model. FFT is used to process the interferometric phase which has removed the terrain phase of external digital elevation model (DEM) under BP imaging, and the estimation of interferometric parameters is realized through the phase fringe frequency. In the calibration method based on sensitivity equations, the deviations of interferometric parameters are calculated by solving sensitivity equations according to the three-dimensional information of ground control points. FFT estimation method not only generates the initial baseline parameters for sensitivity equation method, which is conducive to obtaining the global optimal solution, but also separates the calibration of phase offset and baseline parameters, which makes it possible to minimize the condition number of sensitivity matrix in sensitivity equation method. Finally, we obtain the calibrated interferometric parameters through iteration of sensitivity equation method and realize high accuracy DEM inversion. Both simulation experiment and airborne dual-antenna InSAR data processing are performed to verify the effectiveness of this method.
The shell of inclined conveyor of combine often has the defect of serious vibration. In order to solve this problem, this study uses the dynamic signal test and analysis system and control the ...electromagnetic directional valve to realize the horizontal stability control of agricultural machinery. In order to improve the bearing accuracy, this paper designs a bearing tilt detection device. When the tilt reaches its set point, an alarm can be issued to initiate an emergency response. Taking tractor as the object, the application of real-time tilt angle measurement algorithm on three-axis multifunctional turntable is tested. At the same time, the automatic leveling system of agricultural machinery was tested in the field, and the minimum inclination angle of the chute conveying all kinds of grain and oil materials was obtained. The image collected by AGV has the characteristics of high speed, high efficiency and small resolution error. It can also correct the tilt image in real time. This study is helpful to adapt to the new requirements of modern agricultural large-scale agricultural machinery or production facilities. The monitoring system has practical guiding significance in the construction process, and has a certain promotion value.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Background
The aim of this study was to investigate the value of electrocardiograms (ECGs) and serological examinations in the differential diagnosis of acute pulmonary embolism (APE) and acute ...non‐ST elevation myocardial infarction (NSTEMI) in order to reduce the rate of clinical misdiagnosis.
Methods
The clinical data of 37 patients with APE and 103 patients with NSTEMI admitted to our hospital were retrospectively analyzed. The differences in the clinical manifestations, ECGs, myocardial zymograms, D‐dimers, and troponin (cTn) of the two groups were compared.
Results
In the patients with APE, the main symptom—found in 25 cases (67.56%)—was dyspnea, while in the patients with NSTEMI, the main symptom—found in 52 cases (50.49%)—was chest tightness. The incidences of sinus tachycardia and SIQIIITIII in the group of patients with APE were higher than in the group of patients with NSTEMI, and the difference was statistically significant (p < .05). There was no statistical significance in the difference of aspartate aminotransferase and lactate dehydrogenase (LDH) in the two groups (p > .05), although there was a statistically significant difference of creatine kinase (CK) and the creatine kinase isoenzyme‐MB (CK‐MB) in the two groups (p < .05). The levels of D‐dimers and cTn were increased in both groups, but the level of D‐dimers in the group of patients with APE was higher than that in the group of patients with NSTEMI.
Conclusion
With the occurrence of clinical manifestations like dyspnea, chest tightness, chest pain, and palpitation of unknown causes, the possibility of APE and NSTEMI should be considered.
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