Summary Soil organic matter (SOM), total nitrogen (TN), available nitrogen (AN), available phosphorus (AP), available potassium (AK) and pH are key chemical properties for evaluating soil fertility and quality. This study involved the integration of four soil sensors, visible near‐infrared (vis–NIR) spectrometer, mid‐infrared (mid‐IR) spectrometer, portable X‐ray fluorescence (PXRF) analyser and laser‐induced breakdown spectroscopy (LIBS), to achieve rapid measurement of these soil properties. A genetic algorithm and partial least‐squares regression (GA–PLSR) were used to select characteristic bands to reduce data redundancy. We then calibrated models from three aspects: models using partial least‐squares regression (PLSR) based on single sensor data, models using PLSR based on fused sensor data, involving data combined from the four sensors into a new dataset to create a data fusion (DF) model, and models with Bayesian model averaging (BMA) based on prediction results of fused sensor data, involving prediction results combined from the four sensors into a new dataset to form the BMA model. The results showed the following. (i) For the single sensor, the predictive performance decreased as follows: mid‐IR > vis–NIR > LIBS > PXRF. (ii) Compared with the single sensor approach, the DF approach slightly improved or even reduced prediction accuracy and caused a large amount of redundancy. We suggest that this approach is not able to improve predictive ability. (iii) The BMA approach achieved the best prediction for the six soil properties. Our findings suggest that model averaging of vis–NIR, mid‐IR and LIBS could be a reliable and stable approach for the fast measurement of soil properties. Highlights We used four proximal soil sensors to evaluate six key properties for evaluating soil fertility and quality. GA–PLSR was used to select characteristic bands. We compared predictions of six soil properties from single sensor, DF and BMA approaches. BMA predictions were more accurate than predictions from single and fused sensor data.

The Paneth cells are highly specialized cells in the epithelium of the small intestine of many vertebrate species. These cells reside at the base of crypts of the Lieberkühn and contain abundant secretory granules. Previous studies suggesting the existence of Paneth cells in the chicken (Gallus gallus) remained controversial. Here we seek to identify the Paneth cells in the chicken small intestine through morphological examination and specific gene expression. Histological staining and transmission electron microscope confirmed the presence of granulated secretory cells at the base of the crypts in the chicken small intestine. Western blotting experiment also manifested the expression of lysozyme protein, which is specifically secreted by the Paneth cells in the small intestine. Moreover, lysozyme c and lysozyme g mRNAs were expressed in the small intestine of chickens at different ages. Lysozyme c mRNA, in particular, was located at the base of the small intestinal crypts as displayed by in situ hybridization. Collectively, we provide evidences that the Paneth cells indeed exist in the small intestine of the chicken.

The force due to the transverse magnetic field of a laser beam drives an electron in the direction of laser propagation, thereby impeding the recollision mechanism for high-order harmonic generation. The longitudinal electric field component of a tightly focused Gaussian beam can sufficiently counteract the magnetic force to enhance the harmonic yield substantially. For tight focusing and a laser intensity of 10(18) W/cm2, it can raise the harmonic yield by several orders of magnitude.

The limited medical service provided by ID physicians is poorly aligned with current healthcare demands. Moreover, the heavy workloads, high stress, poor compensation and limited career prospects for ID physicians in China impede the continued development of specialists and places them in a career dilemma. ID physicians should work to develop and diversify the field and to enhance their capacities by learning new technologies and collaborating with other medical disciplines.

The study was aimed at determining the incidence of changes in sexual function and identifying the possible associated variables of erectile dysfunction (ED) in coronary artery disease (CAD) patients undergoing coronary stenting. Four hundred and sixty-seven patients were retrospectively contacted with a questionnaire regarding sexual function from 6 months pre-stenting to 6 months post-stenting by telephone follow up. Univariate analyses were used to determine prognostic variables. ED changed following stenting in CAD (P < 0.05), in acute coronary syndrome (ACS) (P > 0.05) and in chronic coronary syndrome (CCS) (P < 0.05). Sexual activity was not resumed in 8.1%, was unchanged in 33.8%, increased in 0% and decreased in 58.0%. The average frequency of sexual activity decreased every month in CAD (P < 0.05), in ACS (P < 0.05) and in CCS (P < 0.01) after undergoing coronary stenting respectively. The mean time interval between the onset of ED and CAD was 33 months. Resuming sexual activity after stenting varied from 2 weeks to 30 months. Significant predictors of ED after coronary stenting were mean age, diabetes mellitus, 2,3-vessel disease or current smoking status. It was concluded that coronary stenting had a significant incidence of ED. Mean age, diabetes mellitus, 2,3-vessel disease or current smoking status showed to be the main variables associated with ED. Attempts to improve individual secondary prevention outcomes (controlling serum glucose and smoking cessation) should be designed.