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This paper first explores the changes brought about by the convergence of digital media technology and radio and television. The SIFT feature extraction method is proposed based on the image signal characteristics, and the convolution operation is done on both the extracted image and the Gaussian kernel. In order to ensure the accurate localization of the key points of the image, the method of quadratic Taylor expansion of the DoG function is utilized to remove the unstable points, thus obtaining the accurate localization of the key points. Next, a 128-dimensional SIFT feature vector is generated by specifying the direction reference of the key point, and a visual dictionary is constructed on the basis of the generated feature vector. The impact of digital media technology on language intervention in radio and television is investigated through quantitative analysis and case studies. The results show that the scores of the image features after SIFT processing are in the interval of [13.342, 15.636], which is the highest score among the three methods, and the effect is better. The global digital media news parameter works increased by 240 works from 2013-2014 and reached the peak state of 732 works in 2021, and the public’s recognition of the visual language visualization of digital media news increased.

This paper evaluates Indo-Pacific warm pool (IPWP) sea surface temperature (SST) warming biases of Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6. The IPWP warming trend in the CMIP5 multi-model ensemble (MME) is closer to observation than in CMIP6 MME, but the IPWP expanding trend is the opposite. There is no qualitative improvement in the simulation of IPWP warming from CMIP5 to CMIP6. In addition, four metrics were used to investigate the performance of Indo-Pacific region warming trends in all models. CMIP6 models perform better than CMIP5 with smaller root mean square error and bias in MME and higher skill scores in MME and top models, which is tightly linked to their better performance in simulating associated physical processes in CMIP6 models. IPWP warming biases are mainly attributed to the combined effects of positive atmospheric process biases and negative ocean dynamics term biases. The positive atmospheric process biases are primarily related to the shortwave radiation and latent heat flux from atmospheric forcing, the latter of which can be attributed to the biases in surface wind fields. Compared with CMIP5 models, the IPWP warming simulated by CMIP6 models is weaker, related to the less robust atmospheric processes and the shallower thermocline anomalies simulated by CMIP6. [ABSTRACT FROM AUTHOR]

Dispersion curve inversion is one of the core contents of Rayleigh wave data processing. However, the dispersion curve inversion has the characteristics of multi‐parameter, multi‐extremum as well as nonlinearity. In the face of Rayleigh wave data processing under complex seismic‐geological conditions, it is difficult to reconstruct an underground structure quickly and accurately apply a single global‐searching non‐linear inversion algorithm. For this reason, we proposed a strategy to invert multi‐order mode Rayleigh wave dispersion curves by combining with grey wolf optimization (GWO) and cuckoo search (CS) algorithms. On the basis of introducing the mechanism of iterative chaotic map with infinite collapses (ICMIC) and the strategy of dimension learning–based hunting (DLH), an improved GWO was developed that was called IDGWO (ICMIC and DLH GWO). After searching the near‐optimal region through IDGWO, the CS with a variable step‐size Lévy flight search mechanism was switched adaptively to complete the final inversion. The correctness of our method was verified by the multi‐order mode dispersion curve inversion of a six‐layer high‐velocity interlayer model. Then it was further applied to the processing of real seismic datasets. The research results show that our method fully utilizes the advantages of each of the two global‐searching non‐linear algorithms after integrating IDGWO and CS, while effectively balancing the ability between global search and local exploitation, further improving the convergence speed and inversion accuracy and having good anti‐noise performance. [ABSTRACT FROM AUTHOR]

Social avoidance and distress are the primary aspects of social anxiety. Nonautistic people with high levels of autistic traits are more likely to exhibit social avoidance and distress. However, research has yet to reveal how autistic traits induce social avoidance and distress. To fill this gap, the present study recruited 708 participants to complete the 25‐item Autism Spectrum Quotient, Social Avoidance and Distress Scale, Chinese Perceived Stress Scale, and Interpersonal Alienation Subscale. The results indicated that autistic traits significantly predicted social avoidance and distress in nonautistic people. In addition, autistic traits induced social avoidance and distress through perceived stress and interpersonal alienation, respectively. Importantly, perceived stress and interpersonal alienation (including the subdimensions of interpersonal alienation: sense of loneliness, sense of social isolation, and alienation between family members) partially mediated the relationships between autistic traits and social avoidance and distress. Overall, autistic traits predict social avoidance and distress via perceived stress and interpersonal alienation. This finding extends the hypothetical model of clinical anxiety in autism spectrum disorders. Furthermore, reducing perceived stress and interpersonal alienation in nonautistic people with high levels of autistic traits may be a valid intervention method to prevent and eliminate their social avoidance and distress. [ABSTRACT FROM AUTHOR]

On the basis of the “Environmental quality standard for surface water” (GB 3838-2002) in China, eight water quality indexes were measured in M River, including pH, water temperature (T), transparency (SD), dissolved oxygen (DO), chemical needs Oxygen (COD), ammonia nitrogen (NH3-N), total nitrogen (TN), total phosphorus (TP). Using the single factor index method, it is concluded that the water pollution of M River is serious and the water quality is beyond Grade V of water environment standard. Moreover some indexes of the water quality meet with the standard level, including COD, NH3-N, TN and TP. The Pearson correlation analysis is conducted between water quality indexes and phytoplankton community parameters. After phytoplankton qualitative and quantitative analysis, the phytoplankton community characteristics in Minxin River were analyzed by Dominance index (Y), Shannon-Wiener diversity index (H’), Margalef Species diversity index (d) and Pielou evenness index (J). H’ and TN was a significant positive correlation (r = 0.923, P

An investigation of phytoplankton community and water quality for M River was conducted in December 2019.The results showed that 38 species of phytoplankton belonging to 6 phyla and 26 genera were collected. Among them, Bacillariophyta is the richest species, which accounted for 34.21%, followed by Cyanophyta with 26.32% and Chlorophyta with 28.95%. The density of phytoplankton was 63.0*106 inds/L which indicated as eutrophic water body. The highest density was Bacillariophyta, accounting for 51.03%. The Shannon-Wiener diversity index (H’) varied from 1.34 to 2.24, the Margalef Species diversity index (d) varied from 2.71 to 3.85, and the Pielou evenness index (J) varied from 0.38 to 0.67. According to the integrative analysis results of H’, d and J, M River water quality belongs to oligo-polluted, but individual sites belong to meso-polluted.

Fragmentation mechanisms of some prazoles and their related substances were newly investigated in this paper via positive mode ESI-TOF HRMS1 and HRMS2. Some novel fragmentation rules or ions were found or detected in the research. The pyridine and the benzoimidazole ring remained in most cases during the ionization, and heterolytic fragmentations often occurred near the -S(O)nCH2- linker to give the [1,3]-H migration ion or [1,7]-H migration ion rearranging across the benzoimdazole ring. Smiles rearrangement ionizations also frequently occurred, initiated by the attack of the lone pair electrons from the pyridine ring, and the sulfones gave special N-(2-benzoimdazolyl) pyridine ions (11b and 12c) by a direct extraction from SO2, and the thioethers gave similar framework ions (8c, 9c and 10c) via the rearrangement and a further homolytic cleavage of SH radicals. However, the sulfoxides were seldom detected in the corresponding Smiles rearrangement ions during our measurement, and the N′-oxides of the pyridines did not undergo the Smiles rearrangement ionization due to the absence of the lone pair electrons. The 5/6-membered chelating ions with Na+ or K+ were frequently detected as the molecular and further fragment ions. Some novel and interesting fragment ions containing bivalent (8b and 9b), tetravalent (4b, 5c and 6c) or hexavalent (15b and 16b) sulfurs were first reported here. [ABSTRACT FROM AUTHOR]

A 2D Dy(III) metal–organic layer (MOL 1) was synthesized under solvothermal conditions. Structural analysis suggests that the Dy(III) ions in each one-dimensional (1D) arrangement are evenly arranged in the form of broken lines. The 1D chains are linked to one another via ligands to form a 2D layer that generates a 2D surface with elongated apertures. The photocatalytic activity study suggests that MOL 1 exhibits good catalytic activity in flavonoids by the formation of an O2˙− radical as an intermediate. This is the first reported method of synthesizing flavonoids using chalcones. [ABSTRACT FROM AUTHOR]

In order to solve the problem of red mud waste discharged in aluminum industry, to improve the reuse rate of waste resources, and to improve the corrosion resistance of asphalt mixture, the "dry modification" method was used to make red mud asphalt mortar and red mud asphalt mixture by using the same amount of red mud to replace the limestone powder in asphalt mixture. The red mud asphalt mortar absorption performance test and red mud asphalt mixture immersion Marshall test, freeze-thaw cycle split test, immersion rutting test were carried out to measure the adhesion performance of different replacement amount of red mud asphalt mortar and the water damage resistance performance of red mud asphalt mixture. The results showed that red mud can effectively improve the adhesion and water damage resistance of asphalt mixture. In addition, through the analysis of the adhesion performance of red mud asphalt mortar and the mechanism of water damage resistance of asphalt mixture, the reason of water damage resistance of red mud asphalt mixture was revealed, and the conclusion that the performance of asphalt mixture is the best when the replacement amount of red mud is 50% was obtained. [ABSTRACT FROM AUTHOR]

The ectomycorrhizal fungi communities of forests are closely correlated with forest health and ecosystem functions. To investigate the structure and composition of ectomycorrhizal fungi communities in oak forest soil and their driving factors along the urban–rural gradient, we set up a Quercus acutissima forest transect and collected samples from the center to the edge of Jinan city (urban, suburban, rural). The results showed that the ectomycorrhizal fungal community composition at the phyla level mainly included Basidiomycota and Ascomycota in three sites. At the genus level, the community compositions of ectomycorrhizal fungi, along the urban–rural gradient, exhibited significant differences. Inocybe, Russula, Scleroderma, Tomentella, Amanita and Tuber were the dominant genera in these Quercus acutissima forests. Additionally, the diversity of ectomycorrhizal fungi was the highest in rural Quercus acutissima forest, followed by urban and suburban areas. Key ectomycorrhizal fungi species, such as Tuber, Russula and Sordariales, were identified among three forests. We also found that pH, soil organic matter and ammonium nitrogen were the main driving factors of the differences in ectomycorrhizal fungi community composition and diversity along the urban–rural gradient. Overall, the differences in composition and diversity in urban–rural gradient forest were driven by the differences in soil physicochemical properties resulting from the forest location. [ABSTRACT FROM AUTHOR]

Environmental factors of projects in the sea area, such as tidal current characteristics and sediment transport patterns, play a decisive role in the safe operation of the harbor. Based on the observation data of tide level, tidal current, suspended sediment, and surface sediment in the Port of Shenquan, this paper focuses on the study of the characteristics of tidal current and sediment of projects in the sea area. According to the measured tide hydrograph, it can be concluded that the tide in the Port of Shenquan is irregular diurnal, and the flow of rising and falling tides is basically rectilinear. The velocity of the neap tide is higher than that of spring tide, which is mainly related to the strong winds and waves. The sand source is limited, and the sediment concentration in the water is very low. The hourly sediment concentration in each station fluctuates within a narrow range, independent of hourly velocity change. The sediment is coarse and fine, with a distribution pattern of coarse near shore, fine in deep water, coarse in East and West, and fine in the middle, and the sorting coefficient of sediment is medium to well. [ABSTRACT FROM AUTHOR]

Thyroid cancer (TC) was the most frequent thyroid malignant tumour, accounting for about 1% of all malignant tumours. Some long non‐coding RNAs (lncRNAs) have been reported to exert essential tumour promotion effects, while caspase‐9 (CASP9) gene could play a promotive role in the cell apoptosis in TC. However, whether they have a specific effect on TC remains unclear. Hence, this study aims to explore the relationship between LINC00607 and CASP9, and its effect in TC. LINC00607 expression in the TC tissues and cell lines was determined. Then, we explored the combination effect between a LINC00607 and a methylation inhibitor 5‐Aza‐dc in doxorubicin‐resistant ARO cells using colony formation assay, flow cytometry, WST‐1 and EdU assay, as well as in vivo tumour growth assay. Besides, the dual‐luciferase reporter gene assay, RIP, ChIP, methylation‐specific PCR and BSP method were employed to detect the relationship between LINC00607 and CASP9 and its methylation. LINC00607 expression was up‐regulated in the doxorubicin‐resistant TC cell lines and tissues and negatively correlated to the poor prognosis of TC patients. Knockdown of LINC00607 suppressed doxorubicin resistance, proliferation and colony formation, and promoted cell apoptosis of TC cells in vitro, as well as suppressed tumour growth in vivo, whereas LINC00607 overexpression was observed to exercise the opposite effects. Notably, it was also revealed that LINC00607 down‐regulated the CASP9 expression by promoting CASP9 promoter methylation. In conclusion, LINC00607 could inhibit the apoptosis and augment the doxorubicin resistance of TC cells by decreasing CASP9 expression, which might provide a novel therapeutic target for TC treatment. [ABSTRACT FROM AUTHOR]

Dispersion curve inversion is one of the core components of Rayleigh wave surveys, which mainly include linear and non-linear inversion theoretical systems. Damped least squares (DLS) is the most mature and commonly used method of linear optimization, but it relies heavily on more accurate initial models, otherwise it can easily fall into a local minimum or can even result in an incorrect inversion. As a representative method of non-linear optimization, genetic algorithm (GA) may be more feasible to obtain a global optimal solution for the geophysical inversion in theory. However, the GA algorithm is less stable, as well as less efficient in the later period of the inversion. In the past, the above two systems have been used independently to perform inversion processing. Faced with complex seismic geological conditions, they often display poor adaptability and lack balance between speed and accuracy. For this reason, we made a reasonable and effective improvement to the generation of the initial population and the coding of the classic GA to overcome the time-consuming and memory-intensive computational issues. We redefined the selection and crossover function to prevent the 'premature convergence' phenomenon in genetic iterations. Simultaneously, the DLS and the steepest descent method are embedded in the GA inversion process to linearly optimize the dominant individuals in the population (i.e. local extrema) in the local space to guide the population to move quickly and stably advance towards the global optimal direction. Next, a robust DLS inversion is used to obtain the final S -wave velocity model using the adaptive GA inversion results as the input velocity model. The model and actual data set processing results show that our proposed nested joint inversion can combine the advantages of linear and nonlinear inversion that can effectively suppress the multisolution problem of the dispersion curve inversion and significantly improve the inversion efficiency and accuracy. [ABSTRACT FROM AUTHOR]