Benefits and trade-offs of replacing inorganic fertilizer by organic substrate in crop production: A global meta-analysis.

Replacing inorganic fertilizer with organic substrate contributes to sustainable agricultural production capacity. However, the effects of organic substitution regimes (OSR) on global crop productivity, soil carbon (C) and nitrogen (N) losses and biofertility as function of environmental variables have not been systematically quantified. Here, we have conducted a meta-analysis of these effects using field data (211 papers with 852 observations) collected around the world. Results indicated that OSR increased crop productivity (3.04 %) and soil biofertility (soil qMBC, qMBN, microbial richness, Shannon and functionality by 11.4 %, 21.1 %, 10.2 %, 3.95 %, and 38.5 %, respectively), and reduced soil N losses (N2O emissions, NH3 volatilization and soil N leaching by 26.5 %, 26.1 %, and 33.8 %, respectively), but increased CO2 emissions (19.4 %), and paddy fields CH4 emissions (41.2 %). N rate was an important factor influencing crop productivity and soil biofertility response to OSR, and crop productivity and soil biofertility had a greater positive response at moderate substitution rates in acid soil and long-term trials, but full substitution significantly decreased crop yield. Furthermore, the increase in soil biofertility and crop yield saturated in ~10-14 and ~ 22 years after organic substrate input. The emissions of CO2, CH4, and N2O significantly increased with increasing substitution rates, while the opposite was true for N leaching. The NH3 volatilization response to OSR presented a positive effect in acidic and coarse texture soil. OSR was more beneficial in mitigating soil C and N loss response (except CO2 emissions) in uplands compared to paddy fields. Therefore, implementation of OSR requires site-specific strategies to better achieve a balance between increasing crop production and reducing environmental benefits. Given that the OSR improvement varies depending on environmental variables, we propose a predictive model to initially assess the potential for OSR improvement. This study will provide scientific guidance on the reasonable application of organic substrate in agroecosystems.

K2Cr2O7-induced DNA damage in HT1080 cells: Electrochemical signal response mechanism.

The existing DNA damage detection technology cannot meet the current detection requirements. It is critical to build new methods and discover novel biomarkers. In this study, alkaline comet and 8-OHDG ELISA assays were used to identify DNA damage in HT-1080 cells exposed to K2Cr2O7, and electrochemical behaviors of HT-1080 cells with DNA damage was studied. With an increase in K2Cr2O7 exposure time, two electrochemical signals from HT-1080 cells at 0.69 and 1.01 V steadily grew before decreasing after reaching their highest values. The electrochemical signal's initial response time and peak time decreased as the concentration of K2Cr2O7 increased. The duration of the high dose group was 0.5 and 1 h, while the low dose group was 1.5 and 6 h. Western blotting analysis revealed that DNA damage increased the expression of proteins involved in catabolism and de novo purine synthesis, particularly de novo purine synthesis. Expressions of PRPP amidotransferase, IMPDH, and ADA were all higher than those of ADSS, XOD, and GDA, which resulted in larger concentrations of hypoxanthine, guanine, and xanthine, and in turn improved electrochemical signaling. These findings suggest that intracellular purine identified by linear scan voltammetry is predicted to evolve as a marker of early DNA damage.

A Method for Measuring Parameters of Defective Ellipse Based on Vision.

Ellipse detection has a very wide range of applications in the field of object detection, especially in the geometric size detection of inclined microporous parts. However, due to the processing methods applied to the parts, there are certain defects in the features. The existing ellipse detection methods do not meet the needs of rapid detection due to the problems of false detection and time consumption. This article proposes a method of quickly obtaining defective ellipse parameters based on vision. It mainly uses the approximation principle of circles to repair defective circles, then combines this with morphological processing to obtain effective edge points, and finally uses the least squares method to obtain elliptical parameters. By simulating the computer-generated images, the results demonstrate that the center fitting error of the simulated defect ellipses with major and minor axes of 600 and 400 pixels is less than 1 pixel, the major and minor axis fitting error is less than 3 pixels, and the tilt angle fitting error is less than 0.1°. Further, experimental verification was conducted on the engine injection hole. The measurement results show that the surface size deviation was less than 0.01 mm and the angle error was less than 0.15°, which means the parameters of defective ellipses can obtained quickly and effectively. It is thus suitable for engineering applications, and can provide visual guidance for the precise measurement of fiber probes.

Investigating the effects of organic amendments on soil microbial composition and its linkage to soil organic carbon: A global meta-analysis.

Understanding the dynamics of soil microbial communities responsible for soil element cycling is vital to understanding organic amendments' mechanisms in agricultural soil. However, several studies show inconsistencies in whether and how organic amendments affect the taxonomic composition of soil microbial communities compared to the application of sole chemical fertilizers. This first global meta-analysis demonstrated that organic amendments increased the bacterial diversity indices (Shannon and Chao1) but had no significant effect on fungal diversity indices. When considering both bulk and rhizosphere soils, only copiotrophic strategies such as Proteobacteria, Bacteroidetes, and Zygomycota phylum demonstrated a significant increase in response to organic amendments, mainly because the environment with a significant increase in nutrients content preferentially supports the growth of copiotrophic species after the use of organic amendments. Additionally, the factors influencing the response of different dominant microbial phyla to organic amendments varied. Besides soil pH, the effect of organic amendments on different microbial phyla was significantly influenced by soil texture, organic fertilizer type, crop type, and climate type, providing insights into the diverse responses of microbial communities to organic amendments under varying conditions. Organic amendments significantly increased soil organic carbon (SOC) content and enzyme activities related to nitrogen (N) and phosphorus (P) decomposition but had no significant effect on enzymes related to carbon (C) decomposition. Notably, the effect of organic amendments on the relative abundance of three dominant phyla (Mortierellomycota, Nitrospirae, and Firmicutes) was related to the effect on SOC, where the increase in the relative abundance of Firmicutes was significantly positively associated with the increase in SOC. This result has implications for understanding the relationship between the dynamics of microbial community composition and C turnover in agroecosystems.

A dual-functional module cellular electrochemical sensing platform for simultaneous detection guanine and xanthine.

The separation of the superimposed electrochemical signals of intracellular guanine (G) and xanthine (X) is difficult, which is great obstacle to the application of cell electrochemistry. In this paper, independent functional modules, G-functional module (G-FM) and X-functional module (X-FM), were constructed by molecular imprinting technology for sensitive detection of G and X without mutual interference, then integrated in dual-functional module cellular electrochemical sensing platform (DMCEP) as signal sensing units. DMCEP transmitted signals of G and X in cells synchronously to two windows by two signal sensing channels, and achieved the separation of superimposed signals of G and X in cells. DMCEP exhibited satisfactory reproducibility with relative standard deviation (RSD) of 3.10 and 2.22 %, repeatability with RSD of 3.72 and 3.05 % for G and X detection, and detection limit 0.05 µΜ for G and 0.06 µΜ for X. Good linear relationships between cell concentrations and the signals of G and X on DMCEP were shown in range of 0.75-85 × 106 and 3-85 × 106 cells/mL, respectively. The growth of MCF-7 cells was tracked by DMCEP, and showed consistent trend with the cell counting method, while the change of cell viability from lag to logarithmic phase captured by DMCEP was earlier than that of cell counting method. This strategy provided the foundation for the establishment of the cell viability electrochemical detection method, and new insights into the simultaneous recording of other analyses with superimposed peak positions and the simultaneous tracking of multiple biomarkers.

Dynamic wavelength calibration based on synchrosqueezed wavelet transform.

With the developments of the tunable laser source (TLS), there are increasing demands for high-resolution dynamic wavelength calibration in recent years. Considering mutual constraints between wide measurement range and high calibration resolution, we propose a dynamic wavelength calibration method based on an auxiliary Mach-Zehnder interferometer (MZI) and the synchrosqueezed wavelet transform (SSWT). Our proposed method can achieve a calibration resolution of 5 fm and a tuning range of 10 nm. Moreover, the measurement range and spatial resolution of the optical frequency domain reflectometer (OFDR) system are improved to ∼80 m and ∼mm, respectively. Our proposed approach can substantially reduce the subtle spectrum distortion (tens of fm) in coherent optical spectrum analyzer (COSA) systems.

Method of micro hole tilt adjustment based on a vision-guided touch probe.

In order to meet the increasing miniaturization and high precision requirements of high-performance devices in aerospace and other fields for space array micro holes with a high aspect ratio, a method of measuring geometric parameters by penetrating the micro holes with a contact probe guided by vision is proposed, which can achieve rapid and efficient measurements. This method adopts the principle of vision measurement, preliminarily determines the geometric parameters of measurement through the processing of micropore images, and then needs to establish a collaborative measurement model of vision and probe using the principle of vision to guide the probe to go deep into the hole to measure and adjust the inclined micropores. According to this principle, a five-axis measuring system is set up, and a hole with a diameter of 3 mm is tested at different angles. The experimental results preliminarily verify the effectiveness and feasibility of the proposed method.

The response of electrochemical method to estrogen effect and the tolerance to culture factors: Comparison with MTT and cell counting methods.

Estrogen substances in the environment are increasing dramatically, which interfere with the normal hormone level of human body, lead to the disorder of endocrine system and even cancer. It is difficult to screen a large number of environmental estrogen substances by existing estrogen effect detection methods, and the results are often affected by many factors, thus the development of new method has become an urgent task. Electrochemical method is promising to reflect cell proliferation by tracking intracellular purine bases directly. In this study, the estrogen level in MCF-7 cells on multiwall carbon nanotubes modified glassy carbon electrode (MWCNTs/GCE) could be tracked simply and conveniently, and the estrogen effect of estradiol could be reflected by electrochemistry in time and dose-dependent manners. Electrochemical method displayed the best tolerance to culture factors, such as different cell densities, serum types, culture medium types and serum estrogen-free methods, which responsed to estrogen effect higher than MTT (about 40%) and cell counting methods (about 50%). Further Western blotting analysis showed that the estrogen effect of estradiol promoted purine catabolism and up-regulated guanine deaminase (GDA) and adenine deaminase (ADA) expression, the key enzymes of purine catabolism pathway, in a dose-dependent manner. The up-regulation of GDA and ADA led to the increase of intracellular guanine and xanthine, which enhanced the electrochemical signal derived from guanine and xanthine.

Interferometric laser imaging for droplet-size measurement in spray.

An upgraded droplet-size measurement method, based on laser interference particle imaging (IPI) technology, is applied to accomplish high-precision measurement of particle size and spatial distribution of gas-liquid two-phase flow in the atomization field. In this study, an improved morphological-Hough transform interference fringe location algorithm is applied to IPI measurement. The particle size of the standard particle field with a diameter of 24 µm is measured by the upgraded IPI measurement experimentally, whose absolute error and relative error are 0.14 µm and 0.58%, respectively. The atomization field of the 400 µm centrifugal nozzle under different pressures is demonstrated by direct imaging and IPI technology, where the assessment results are evaluated by SMD value and particle size distribution, and the results exhibit good agreement.

Precision roll angle measurement system based on autocollimation.

The traditional autocollimation method is widely used for small angle measurement due to its high precision and high resolution, but it cannot be used to measure the roll angle. To overcome this problem, a roll angle measurement method based on autocollimation is proposed in this paper. To achieve roll angle measurement, a transmission grating is selected to generate a pair of measurement beams, and a combined target is designed as the angle sensor. A roll angle with higher accuracy and resolution can be obtained by differential measurement, because the measurement error introduced by the beam angle drift of the light source can be effectively suppressed. A series of experiments is carried out to verify the performance of the proposed system. In the experiments, the resolution of the roll angle is better than 0.05 arcsec, and the accuracy of the system is 0.20 arcsec with a measurement range of 250 arcsec.

Protective effect of Monarda didymaL. essential oil and its main component thymol on learning and memory impairment in aging mice.

The aging process of human beings is accompanied by the decline of learning and memory ability and progressive decline of brain function, which induces Alzheimer's Disease (AD) in serious cases and seriously affects the quality of patient's life. In recent years, more and more studies have found that natural plant antioxidants can help to improve the learning and memory impairment, reduce oxidative stress injury and aging lesions in tissues. This study aimed to investigate the effect of Monarda didymaL. essential oil and its main component thymol on learning and memory impairment in D-galactose-induced aging mice and its molecular mechanism. The composition of Monarda didymaL. essential oil was analyzed by Gas Chromatography-Mass Spectrometer (GC-MS). A mouse aging model was established by the subcutaneous injection of D-galactose in mice. The behavior changes of the mice were observed by feeding the model mice with essential oil, thymol and donepezil, and the histopathological changes of the hippocampus were observed by HE staining. And the changes of acetylcholinesterase (AchE), superoxide dismutase (SOD) and glutathione peroxidase (GSH-PX) activities, and the content of malondialdehyde (MDA) in hippocampal tissues were detected by corresponding kits. The expression of mitogen activated protein kinase (MAPK) and nuclear factor E2 related factor 2 (Nrf2) pathways related proteins were detected by western blot. Animal experimental results showed that compared with model group, the above indexes in Monarda didymaL. essential oil and thymol groups improved significantly in a dose-dependent manner. Monarda didymaL. essential oil and its main active component thymol can improve the learning and memory impairment of aging mice to some extent, and Nrf2 and MAPK pathways may be involved in its action process.

The improvement of Coreopsis tinctoria essential oil on learning and memory impairment of d-galactose-induced mice through Nrf2/NF-κB pathway.

Essential oil of Coreopsis tinctoria (EOC) is a essential substance extracted from Coreopsis tinctoria with the excellent anti-oxidant effect. However, it is still unclear whether EOC can improve learning and memory impairment and its mechanism. The purpose of this study was to investigate the effect of EOC on learning and memory impairment induced by D-galactose (D-gal) in mice and reveal its mechanism. The composition of EOC was analyzed by GC-MS, and the results showed that the highest content was D-limonene. The follow-up experiments were conducted by comparing EOC with D-limonene. The aging model was established by subcutaneous injection of D-gal, and donepezil, D-limonene and EOC were given by intragastric administration. It was found that EOC and D-limonene significantly improved learning and memory impairment induced by D-gal through the Morris water maze and step-through tests. Pathological and biochemical analysis showed that the hippocampal morphologic of mice was damage and the activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) induced by D-gal were decreased, while the content of malondialdehyde (MDA) was increased, while EOC and D-limonene could reverse the morphological changes and reduce oxidative damage. In addition, EOC and D-limonene significantly increased body weight and organ coefficients, including liver, spleen and kidney. Moreover, EOC and D-limonene improved the expression of nuclear factor E2 related factor 2 (Nrf2) pathway and inhibited nuclear transcription factors-κB (NF-κB) pathway. In summary, the results showed that EOC and D-limonene could improve learning and memory impairment induced by D-gal through Nrf2/ NF-κB pathway. It was clear that as a mixture, EOC was better than D-limonene on improving learning and memory impairment.

Generalized Cross-Correlation Strain Demodulation Method Based on Local Similar Spectral Scanning.

Optical fiber measurement technology is widely used in the strength testing of buildings, the health testing of industrial equipment, and the minimally invasive surgery of modern medical treatment due to its characteristics of free calibration, high precision, and small size. This paper presents an algorithm that can improve the range and stability of strain measurements in order to solve the problems of the small range and measurement failure of optical fiber strain sensors based on optical frequency-domain reflectometry (OFDR). Firstly, a Rayleigh scattering model based on the refractive index perturbation of an optical fiber is proposed to study the characteristics of Rayleigh scattering and to guide the strain demodulation algorithm based on the spectral shift. Secondly, a local similar scanning method that can maintain a high similarity by monitoring local Rayleigh scattering signals (LSs) before and after strain is proposed. Thirdly, a generalized cross-correlation algorithm is proposed to detect spectral offset, solving the problem of demodulation failure in the case of a Rayleigh scattering signal with a low signal-to-noise ratio. Experiments show that the proposed method still has high stability when the spatial resolution is 3 mm. The measurement precision is 6.2 µÎµ, which proves that the multi-peaks or pseudo-peaks of the traditional algorithm in the case of a large strain, the high spatial resolution, and the poor signal-to-noise ratio are solved, and the stability of the strain measurement process is improved.

A three-dimensional small angle measurement system based on autocollimation method.

A laser autocollimator based on transmission grating and combined reflector is proposed to simultaneously measure a three-dimensional angle. The optical configuration of the proposed autocollimator is designed, and a mathematical model for measuring a three-dimensional angle is established. The three-dimensional angle is obtained by detecting the change in the direction of the three measurement beams generated by grating diffraction and reflected by a combined reflector. The experimental setup based on the proposed autocollimator was constructed, and a series of experiments were performed to verify the feasibility of the proposed autocollimator for precision angle measurement. The experimental results showed that the measurement resolution of three-dimensional angles is better than 0.01", with measurement repeatability of yaw, pitch, and roll angles being 0.013", 0.012", and 0.009", respectively.

Nonlinear correction of a laser scanning interference system based on a fiber ring resonator.

The laser scanning interferometry system has been successfully applied to many measurement fields because of its efficient measurement ability. However, the practical application ability of this measurement method is restricted due to the laser tuning nonlinearity. In this paper, the fiber ring resonator is equidistant in the frequency domain, which is used as the external clock signal to resample the main interference signal so as to realize the equifrequency sampling of the laser scanning interference system and correct the tuning nonlinearity. The final experimental result shows that this method can effectively reduce the phase noise caused by tuning nonlinearity and improve the performance of the system.

Effect of high soil C/N ratio and nitrogen limitation caused by the long-term combined organic-inorganic fertilization on the soil microbial community structure and its dominated SOC decomposition.

The application of organic fertilizers, such as straw and manure, is an efficient approach to maintain soil productivity. However, the effect of these organic fertilizers on soil microbial nutrient balance has not yet been established. In this study, the effects of the long-term combined organic-inorganic fertilization on microbial community were investigated by conducting a 30-year-long field test. Overall, the following five fertilizer groups were employed: inorganic NP fertilizer (NP), inorganic NK fertilizer (NK), inorganic NPK fertilizer (NPK), NPK + manure (MNPK), and NPK + straw (SNPK). The results indicated that the mean natural logarithm of the soil C:N:P acquisition enzyme ratio was 1.04:1.11:1.00 under organic-inorganic treatments, which showed a deviation from its overall mean ratio of 1:1:1. This indicates that microbial resources do not have a balance. Vector analysis (vector angle <45°) and threshold elemental ratio analysis (RC:N-TERC:N > 0) further demonstrated that the microbial metabolism was limited by Nitrogen (N) under SNPK and MNPK treatments. N limitation further influenced soil microbial community structure and its dominated SOC decomposition. Specifically, Microbial communities transformed into a more oligotrophic-dominant condition (fungal, Acidobacteria, Chloroflexi) from copiotrophic-dominant (Proteobacteria, Actinobacteria) condition with increasing N limitation. Lysobacter genus and Blastocatellaceae family, in the bacterial communities along with the Mortierella elongata species in fungal communities, were markedly associated with the N limitation, which could be the critical biomarker that represented N limitation. Both correlation analysis and partial least squares path modeling showed significant positive effects of N limitation on the ratio of bacterial functional genes (Cellulase/Amylase), involved in recalcitrant SOC degradation.

High resolution coherent spectral analysis method based on Brillouin scattering in an optical fiber.

High-resolution optical spectral analysis method is of significant importance for those who want to explore the physical world from the frequency domain. Aiming at the resolution degradation of classical coherent optical spectrum analysis (COSA) caused by the mirror phenomenon, this paper modifies the COSA system by introducing two homologous Brillouin scattering beams to serve as the pre-filter and local oscillator (LO), respectively. The central frequencies of the pre-filtered signal and the LO are locked by the Brillouin frequency shifts of those two Brillouin scattering beams. By means of this modification, the pre-filtered signal is located at either the upper-frequency-shifted side or the lower-frequency-shifted sides of the LO but could not exist on both sides of the LO. The proposed method could cancel the mirror phenomenon and thus improve the systematic resolution to 1.3 MHz in theory and 2 MHz in practice.

Focus calibration method based on the illumination beam scanning angle modulation in a grating alignment system.

A focus calibration method is developed to determine the focus position of a grating alignment system. An illumination beam scanning module is utilized to generate a circular motion for the beam, which forms an angular modulation interference image on the reference mark. A theoretical model is presented to determine the focus by determining the alignment grating z-position, at which the alignment offset is independent of the incident beam tilt. The standard uncertainty of the focus calibration results is estimated to be better than 150 nm. This technique may improve the measurement performance for lithography systems and precision machine applications.

Expression of Inflammatory Factors in Critically Ill Patients with Urosepticemia and the Imaging Analysis of the Severity of the Disease.

Urine sepsis is a complex inflammatory response of the body to infection with a high fatality rate. It is one of the main causes of death in noncardiovascular intensive care units. Nevertheless, in daily clinical practice, early sepsis is often not detected. In this paper, discharged cases of urinary sepsis from the Department of Urology and Critical Care Medicine of a university hospital were collected as the observation group, and common urinary tract infection cases were selected as the control group. We sorted and summarized the discharged case information of the observation group and the control group. The results of the study showed that, after renal pelvis perfusion, the expression of HMGB1 protein and mRNA increased, and the expression of TLR4 increased; inhibiting HMGB1 can reduce the expression of inflammatory factors caused by perfusion and reduce the infiltration of neutrophils and macrophages caused by perfusion. In addition, r HMGB1 treatment can promote the expression of inflammatory factors caused by perfusion and aggravate the infiltration of neutrophils and macrophages caused by perfusion. We found that inhibition of HMGB1 can inhibit the expression of TLR4/My D88 signaling molecules and r HMGB1 treatment can enhance the expression of TLR4/My D88 signaling molecules.

Effects of ethyl acetate extract from Coreopsis tinctoria on learning and memory impairment in d-galactose-induced aging mice and the underlying molecular mechanism.

The aim of this study was to investigate the effects of ethyl acetate extract from Coreopsis tinctoria (EACC) on learning and memory impairment in d-galactose-induced aging mice and the underlying molecular mechanism. The composition of EACC was analyzed by UPLC-MS, and the targets and pathways of EACC to improve learning and memory impairment were predicted and analyzed by the network pharmacology method. A mouse aging model was established by subcutaneous injection of d-galactose in mice, and EACC and piracetam were given to the model mice by gavage to observe their behavioral changes and changes in their SOD and GSH-Px activities in MDA contents in their peripheral blood serum and in the contents of Glu and GABA in their brain tissues. Then the hippocampus of the three mice selected from each of the MOD group and EACC-H group was separated for RT-qPCR assay. The results of the animal experiments showed that EACC could improve the learning and memory impairment of model mice by affecting the level of oxidative stress enzymes in serum and the content of neurotransmitters in the brain tissue. The results of network pharmacology analysis showed that the EACC components corresponded to 74 learning and memory-related targets, of which 13 were enriched in the long-term potentiation pathway. The results of RT-qPCR showed that 12 of the 13 detected targets were consistent with the predicted targets, and 9 of them were located in the NMDA receptor-related pathway of the long-term potentiation process and the pathway played an important regulatory role. It is believed that EACC could improve the learning and memory impairment of d-galactose-induced aging mice by acting on the nine targets Grin1, Grin2a, Camk2a, Camk2b, Kras, Raf1, Mapk1, Mapk3 and Creb to affect the NMDA receptor-related pathway of long-term potentiation.