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This paper proposes a cross-modal retrieval method (DCCA-ACMR) that integrates deep canonical correlation analysis and adversarial learning.The method can improve the utilization rate of unlabeled samples,learn more powerful feature projection models,and improve the accuracy of cross-modal retrieval.Specifically,under the DCGAN framework:1)depth canonical correlation analysis constraints are added between the two single-modal representation layers of image and text,to construct a graphic feature projection model,and the semantic relevance of sample pairs is exploited fully;2)the graphic feature projection model is used as a generator,and the modal feature classification model is used as a discriminator to form a graphic and text cross-modal retrieval model;3)the common subspace representation of samples is learned by using labeled samples and unlabeled samples in the confrontation between generator and discriminator.We utilize average accuracy rate (mAP) to evaluate the proposed method on the two public datsets,Wikipedia and NUSWIDE-10k.The average mAP values of image-to-text retrievaland text-image retrie-val are 0.556 and 0.563 respectively on the two datasets.Experimental results show that DCCA-ACMR method is superior to the existing representative methods.

Understanding emotional resonances to social evaluations delivered in different languages may contribute to favourable social communication in today's increasingly internationalised world. The present study thus investigated the language-induced emotionality differences by presenting Chinese-English bilinguals with self-referential praising and criticising statements in both their native Chinese and foreign English languages and asking them to make their affective and cognitive judgments on the comments, namely, to rate how pleased they were by the comments and how truly the comments described their attributes. Results revealed that while criticism was rated more unpleasant than praise in both languages, the unpleasantness was reduced by the use of English as compared to Chinese. Intriguingly, no cross-language differences were found in the cognitive assessment. Our findings may shed light on facilitating affective social communication using different languages. [ABSTRACT FROM AUTHOR]

Direct oxidation of methane to methanol utilizing molecular oxygen under mild conditions is an important yet challenging process due to the difficulty in activating of methane under such conditions. In this research, we report on zeolitic octahedral metal oxides based on cobalt vanadotungstates, which act as the catalysts for the oxidation of methane using molecular oxygen as the oxidant without co-reductants at a low temperature of 90 °C even as low as 60 °C. This catalytic process results in the high-yield production of methanol as the primary product. The micropores within the catalyst are critical for achieving high activity in the reaction, in which molecular oxygen is activated. The active species in the reaction are found to be hydroxyl-based. Both VO 5 with reduced V 4+ and Co 2+ are crucial for generating the active species for the reaction., (© 2025 Wiley-VCH GmbH.)

Objective: To investigate adipocytokine expression levels, platelet-to-lymphocyte ratio (PLR) and transforming growth factor (TGF)-β1/Smad signaling activity in diabetic patients with pulmonary infection., Methods: Eighty-two type 2 diabetic patients with pulmonary infection were included in the observation group and 75 patients with simple type 2 diabetes were recruited into the control group. The fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and PLR in the two groups were compared. Complement-C1q/tumor necrosis factor related protein 3 (CTRP-3), complement-C1q/tumor necrosis factor related protein 9 (CTRP-9), leptin, adiponectin, and TGF-β1/Smad signaling pathway activity in peripheral blood mononuclear cells (PBMCs) was detected., Results: Compared with patients in the control group, patients in the observation group presented with increased levels of FGB, HbA1c, and leptin, an increase in the PLR, and decreased serum CTRP-3, CTRP-9, and adiponectin levels. TGF-β1, p-Smad2, and p-Smad3 protein expression levels were up-regulated in PBMCs from patients in the observation group compared with the control group., Conclusions: These results show that in type 2 diabetic patients with pulmonary infection, adipocytokine expression is altered, PLR is disturbed, and the TGF-β1/Smad signaling pathways in PBMCs are significantly activated.

Large-scale cyanobacteria bloom occurred in the summer of 2014 in the Guishi Reservoir that is an important drinking water source for Hezhou City. The dynamic change regularity, external pollution sources, and the phytoplankton community characteristics during the bloom were investigated to evaluate the eutrophication in the reservoir and to present effective prevention and control measures. The results showed that nitrogen and phosphorus concentrations increased year by year; water quality on some sites has been out of class Ⅱ of national water quality standards; and the main pollution source was the agricultural non-point sources. Phytoplankton cell density was in the range of 8.60×10 6 -5.36×10 8 cells·L -1 and chlorophyll a concentrations reached 74.48 μg·L -1 during the bloom. The dominant species was Microcystis wesenbergii whose density reached 5.36×10 8 cells·L -1 . The cell density decreased over time and concentrated on the surface and at the depth of 2 m underwater. The total phytoplankton cell density was strongly correlated to total phosphorus, total nitrogen, nitrate nitrogen, and the permanganate index, and was inversely correlated to transparency. The water in the Guishi Reservoir was not polluted by microcystic toxins. Moreover, Guishi Reservoir is in a meso-eutrophic state; therefore, the prevention and control of the cyanobacteria bloom should focus on weather conditions and on reducing the input of nitrogen and phosphorus to keep the nutrient levels low.

To study the distribution of phytoplankton and water quality of Beijiang River, the community structure of phytoplankton was investigated and analyzed in wet and dry seasons. The results showed that a total of 74 species belonging to six phyla, 29 family and 48 genera of phytoplankton were identified, including 58 species of five phyla, 23 family and 41 genera in wet season and 59 species of six phyla, 26 family and 40 genera in dry season. Phytoplankton community structure in Beijiang River was represented by Bacillariophyta, Chlorophyta and Cyanophyta. Bacillariophyta dominanted the phytoplankton, and the dominant species were Aulacoseira granulate, Fragilaria virescens, Surirella biseriata, Nitzschia amphibia, Navicula simplex, Cyclotella meneghiniana, Synedra ulna, Gomphonema angustatum and Cymbella tumida. There was little difference in phytoplankton density between both seasons with the mean values being 3.54 x 10(5) and 4.87 x 10(5) cells L(-1) in dry and wet seasons, respectively. Based on the RDA results, DO, permanganate index, nitrogen and phosphorus were the important environmental factors affecting the distribution of phytoplankton in Beijiang River. The water quality of Beijiang River was classified as oligo-mesotrophic level even if this river was subjected to nitrogen and phosphorus pollution mainly from agricultural non-point source.