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5,601 result(s) for "Zhang, Xiaojun"
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Image denoising and segmentation model construction based on IWOA-PCNN
The research suggests a method to improve the present pulse coupled neural network (PCNN), which has a complex structure and unsatisfactory performance in image denoising and image segmentation. Then, a multi strategy collaborative improvement whale optimization algorithm (WOA) is proposed, and an improved whale optimization algorithm (IWOA) is constructed. IWOA is used to find the optimal parameter values of PCNN to optimize PCNN. By combining the aforementioned components, the IWOA-PCNN model had the best image denoising performance, and the produced images were crisper and preserve more information. IWOA-PCNN processed pictures have an average PSNR of 35.87 and an average MSE of 0.24. The average processing time for photos with noise is typically 24.80 s, which is 7.30 s and 7.76 s faster than the WTGAN and IGA-NLM models, respectively. Additionally, the average NU value measures 0.947, and the average D value exceeds 1000. The aforementioned findings demonstrate that the suggested method can successfully enhance the PCNN, improving its capability for image denoising and image segmentation. This can, in part, encourage the use and advancement of the PCNN.
Towards sustainable agriculture: rhizosphere microbiome engineering
Soil microbiomes are extremely complex, with dense networks of interconnected microbial species underpinning vital functions for the ecosystem. In advanced agricultural research, rhizosphere microbiome engineering is gaining much attention, as the microbial community has been acknowledged to be a crucial partner of associated plants for their health fitness and yield. However, single or combined effects of a wide range of soil biotic and abiotic factors impact the success of engineered microbiomes, as these microbial communities exhibit uneven structural and functional networks in diverse soil conditions. Therefore, once a deep understanding of major influential factors and corresponding microbial responses is developed, the microbiome can be more effectively manipulated and optimized for cropping benefits. In this mini-review, we propose the concept of a microbiome-mediated smart agriculture system (MiMSAS). We summarize some of the advanced strategies for engineering the rhizosphere microbiome to withstand the stresses imposed by dominant abiotic and biotic factors. This work will help the scientific community gain more clarity about engineered microbiome technologies for increasing crop productivity and environmental sustainability.Key points• Individual or combined effects of soil biotic and abiotic variables hamper the implementation of engineered microbiome technologies in the field.• As a traditional approach, reduced-tillage practices coinciding with biofertilization can promote a relatively stable functional microbiome.• Increasing the complexity and efficiency of the synthetic microbiome is one way to improve its field-application success rate.• Plant genome editing/engineering is a promising approach for recruiting desired microbiomes for agricultural benefit.
Chitin Synthesis and Degradation in Crustaceans: A Genomic View and Application
Chitin is among the most important components of the crustacean cuticular exoskeleton and intestinal peritrophic matrix. With the progress of genomics and sequencing technology, a large number of gene sequences related to chitin metabolism have been deposited in the GenBank database in recent years. Here, we summarized the genes and pathways associated with the biosynthesis and degradation of chitins in crustaceans based on genomic analyses. We found that chitin biosynthesis genes typically occur in single or two copies, whereas chitin degradation genes are all multiple copies. Moreover, the chitinase genes are significantly expanded in most crustacean genomes. The gene structure and expression pattern of these genes are similar to those of insects, albeit with some specific characteristics. Additionally, the potential applications of the chitin metabolism genes in molting regulation and immune defense, as well as industrial chitin degradation and production, are also summarized in this review.
Significant Tumor Reduction With Traditional Chinese Medicine in a Patient With Advanced Prostate Cancer: A Case Report
Prostate cancer (PC) is the most common malignancy of the male genitourinary system. For patients with advanced progressive PC, the treatment strategies include second-line endocrine therapy, chemotherapy, and immunotherapy. Such therapeutic techniques are either too expensive or too toxic for some patients, and traditional Chinese medicine (TCM) has become an alternative for its low cost and low toxicity. The application of Shi-pi-san and Gui-zhi-Fu-ling-wan in PC has never been reported. We report their application on a 71-year-old male patient, who was diagnosed with PC and was undergoing endocrine therapy. He originally chose chemotherapy, and experienced acute renal failure, which required hemodialysis during hospitalization. He felt weak and opted for Chinese herbal medicine treatment. After treatment with Shi-pi-san and Gui-zhi-Fu-ling-wan, the patient’s tumor and other symptoms were significantly reduced, and he reported feeling “refreshed.” This case indicates that TCM treatment has unique advantages and is more tolerable than endocrine therapy and chemotherapy. Considering that the patient was undergoing hemodialysis treatment and using low-molecular-weight heparin (LMWH) to prevent blood coagulation while taking TCM, whether LMWH has a synergistic anticancer effect remains to be explored.
Modulation of gut microbiota by berberine and metformin during the treatment of high-fat diet-induced obesity in rats
Accumulating evidence suggests that the gut microbiota is an important factor in mediating the development of obesity-related metabolic disorders, including type 2 diabetes. Metformin and berberine, two clinically effective drugs for treating diabetes, have recently been shown to exert their actions through modulating the gut microbiota. In this study, we demonstrated that metformin and berberine similarly shifted the overall structure of the gut microbiota in rats. Both drugs showed reverting effects on the high-fat diet-induced structural changes of gut microbiota. The diversity of gut microbiota was significantly reduced by both berberine- and metformin-treatments. Nearest shrunken centroids analysis identified 134 operational taxonomic units (OTUs) responding to the treatments, which showed close associations with the changes of obese phenotypes. Sixty out of the 134 OTUs were decreased by both drugs, while those belonging to putative short-chain fatty acids (SCFA)-producing bacteria, including Allobaculum , Bacteriodes , Blautia , Butyricoccus and Phascolarctobacterium , were markedly increased by both berberine and, to a lesser extent, metformin. Taken together, our findings suggest that berberine and metformin showed similarity in modulating the gut microbiota, including the enrichment of SCFA-producing bacteria and reduction of microbial diversity, which may contribute to their beneficial effects to the host.
Wnt/β-catenin signalling: function, biological mechanisms, and therapeutic opportunities
The Wnt/β-catenin pathway comprises a family of proteins that play critical roles in embryonic development and adult tissue homeostasis. The deregulation of Wnt/β-catenin signalling often leads to various serious diseases, including cancer and non-cancer diseases. Although many articles have reviewed Wnt/β-catenin from various aspects, a systematic review encompassing the origin, composition, function, and clinical trials of the Wnt/β-catenin signalling pathway in tumour and diseases is lacking. In this article, we comprehensively review the Wnt/β-catenin pathway from the above five aspects in combination with the latest research. Finally, we propose challenges and opportunities for the development of small-molecular compounds targeting the Wnt signalling pathway in disease treatment.
Linkage between N2O emission and functional gene abundance in an intensively managed calcareous fluvo-aquic soil
The linkage between N 2 O emissions and the abundance of nitrifier and denitrifier genes is unclear in the intensively managed calcareous fluvo-aquic soils of the North China Plain. We investigated the abundance of bacterial amoA for nitrification and narG, nirS, nirK , and nosZ for denitrification by in situ soil sampling to determine how the abundance of these genes changes instantly during N fertilization events and is related to high N 2 O emission peaks. We also investigated how long-term incorporated straw and/or manure affect(s) the abundance of these genes based on a seven-year field experiment. The overall results demonstrate that the long-term application of urea-based fertilizer and/or manure significantly enhanced the number of bacterial amoA gene copies leading to high N 2 O emission peaks after N fertilizer applications. These peaks contributed greatly to the annual N 2 O emissions in the crop rotation. A significant correlation between annual N 2 O emissions and narG, nirS , and nirK gene numbers indicates that the abundance of these genes is related to N 2 O emission under conditions for denitrification, thus partly contributing to the annual N 2 O emissions. These findings will help to draw up appropriate measures for mitigation of N 2 O emissions in this ‘hotspot’ region.
Penaeid shrimp genome provides insights into benthic adaptation and frequent molting
Crustacea, the subphylum of Arthropoda which dominates the aquatic environment, is of major importance in ecology and fisheries. Here we report the genome sequence of the Pacific white shrimp Litopenaeus vannamei , covering ~1.66 Gb (scaffold N50 605.56 Kb) with 25,596 protein-coding genes and a high proportion of simple sequence repeats (>23.93%). The expansion of genes related to vision and locomotion is probably central to its benthic adaptation. Frequent molting of the shrimp may be explained by an intensified ecdysone signal pathway through gene expansion and positive selection. As an important aquaculture organism, L. vannamei has been subjected to high selection pressure during the past 30 years of breeding, and this has had a considerable impact on its genome. Decoding the L. vannamei genome not only provides an insight into the genetic underpinnings of specific biological processes, but also provides valuable information for enhancing crustacean aquaculture. The Pacific white shrimp Litopenaeus vannamei is an important aquaculture species and a promising model for crustacean biology. Here, the authors provide a reference genome assembly, and show that gene expansion is involved in the regulation of frequent molting as well as benthic adaptation of the shrimp.
Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations
Infected people are isolated to minimize the spread of pandemic diseases. Therefore, the factors related to self-isolation (SI) should not be neglected, and it is important to investigate the factors leading the infected (or possibly infected) people to choose to self-isolate. In this paper, we tried to show that the theory of planned behavior provides a useful conceptual framework for SI when facing a pandemic risk, and a regression method with Chinese provincial (Guangdong Province) data was applied to investigate how attitude (ATT), subjective norms (SN), and perceived behavioral control (PBC) influence SI when facing a pandemic emergency. The results and the robustness tests confirm that ATT, SN, and PBC have a significant positive influence on SI when facing a pandemic emergency. ATT plays the most important role, followed by SN and then PBC. Based on the factors of SI, we found, through theoretical and empirical analyses, at least three important aspects that local governments need to consider to encourage citizens to self-isolate when facing a pandemic.
The multifaceted roles of Arbuscular Mycorrhizal Fungi in peanut responses to salt, drought, and cold stress
Background Arbuscular Mycorrhizal Fungi (AMF) are beneficial microorganisms in soil-plant interactions; however, the underlying mechanisms regarding their roles in legumes environmental stress remain elusive. Present trials were undertaken to study the effect of AMF on the ameliorating of salt, drought, and cold stress in peanut ( Arachis hypogaea L.) plants. A new product of AMF combined with Rhizophagus irregularis SA, Rhizophagus clarus BEG142, Glomus lamellosum ON393, and Funneliformis mosseae BEG95 (1: 1: 1: 1, w/w/w/w) was inoculated with peanut and the physiological and metabolomic responses of the AMF-inoculated and non-inoculated peanut plants to salt, drought, and cold stress were comprehensively characterized, respectively. Results AMF-inoculated plants exhibited higher plant growth, leaf relative water content (RWC), net photosynthetic rate, maximal photochemical efficiency of photosystem II (PSII) (Fv/Fm), activities of antioxidant enzymes, and K + : Na + ratio while lower leaf relative electrolyte conductivity (REC), concentration of malondialdehyde (MDA), and the accumulation of reactive oxygen species (ROS) under stressful conditions. Moreover, the structures of chloroplast thylakoids and mitochondria in AMF-inoculated plants were less damaged by these stresses. Non-targeted metabolomics indicated that AMF altered numerous pathways associated with organic acids and amino acid metabolisms in peanut roots under both normal-growth and stressful conditions, which were further improved by the osmolytes accumulation data. Conclusion This study provides a promising AMF product and demonstrates that this AMF combination could enhance peanut salt, drought, and cold stress tolerance through improving plant growth, protecting photosystem, enhancing antioxidant system, and regulating osmotic adjustment.