Research is ongoing to find solutions to the problem of Consolidation and seepage in saturated clay in enclosure space. Firstly, the boundary of non-zero-constant values is established, considering ...the seepage boundary of the clay is affected by pumping water or lowering boundary pressure on the site. Secondly, the differential equation is established to reflect the spatial and temporal variations of excess pore water pressure dissipation in the clay in enclosure space, and the solution is derived using variable separation methods. Finally, based on results of the solution derived, contour maps of the water pressure are drawn corresponding with the different inhomogeneous boundary conditions.
N‐doped carbon nanomaterials have rapidly grown as the most important metal‐free catalysts in a wide range of chemical and electrochemical reactions. This current report summarizes the latest ...advances in N‐doped carbon electrocatalysts prepared by N mono‐doping and co‐doping with other heteroatoms. The structure–performance relationship of these materials is subsequently rationalized and perspectives on developing more efficient and sustainable electrocatalysts from carbon nanomaterials are also suggested.
N‐doped carbon nanomaterials have recently emerged as the most important metal‐free catalysts in electrochemical catalysis. The latest advances in N‐doped carbon electrocatalysts prepared by N mono‐doping and co‐doping with other heteroatoms are summarized and the structure−performance relationship of these materials is rationalized. Perspectives on developing more efficient and sustainable electrocatalysts from carbon nanomaterials are also suggested.
The evolutionary history of genes serves as a cornerstone of contemporary biology. Most conserved sequences in mammalian genomes don't code for proteins, yielding a need to infer evolutionary history ...of sequences irrespective of what kind of functional element they may encode. Thus, sequence-, as opposed to gene-, centric modes of inferring paths of sequence evolution are increasingly relevant. Customarily, homologous sequences derived from the same direct ancestor, whose ancestral position in two genomes is usually conserved, are termed "primary" (or "positional") orthologs. Methods based solely on similarity don't reliably distinguish primary orthologs from other homologs; for this, genomic context is often essential. Context-dependent identification of orthologs traditionally relies on genomic context over length scales characteristic of conserved gene order or whole-genome sequence alignment, and can be computationally intensive.
We demonstrate that short-range sequence context-as short as a single "maximal" match- distinguishes primary orthologs from other homologs across whole genomes. On mammalian whole genomes not preprocessed by repeat-masker, potential orthologs are extracted by genome intersection as "non-nested maximal matches:" maximal matches that are not nested into other maximal matches. It emerges that on both nucleotide and gene scales, non-nested maximal matches recapitulate primary or positional orthologs with high precision and high recall, while the corresponding computation consumes less than one thirtieth of the computation time required by commonly applied whole-genome alignment methods. In regions of genomes that would be masked by repeat-masker, non-nested maximal matches recover orthologs that are inaccessible to Lastz net alignment, for which repeat-masking is a prerequisite. mmRBHs, reciprocal best hits of genes containing non-nested maximal matches, yield novel putative orthologs, e.g. around 1000 pairs of genes for human-chimpanzee.
We describe an intersection-based method that requires neither repeat-masking nor alignment to infer evolutionary history of sequences based on short-range genomic sequence context. Ortholog identification based on non-nested maximal matches is parameter-free, and less computationally intensive than many alignment-based methods. It is especially suitable for genome-wide identification of orthologs, and may be applicable to unassembled genomes. We are agnostic as to the reasons for its effectiveness, which may reflect local variation of mean mutation rate.
Ischemic stroke refers to the disorder of blood supply of local brain tissue caused by various reasons. It has high morbidity and mortality worldwide. Astrocytes are the most abundant glial cells in ...the central nervous system (CNS). They are responsible for the homeostasis, nutrition, and protection of the CNS and play an essential role in many nervous system diseases’ physiological and pathological processes. After stroke injury, astrocytes are activated and play a protective role through the heterogeneous and gradual changes of their gene expression, morphology, proliferation, and function, that is, reactive astrocytes. However, the position of reactive astrocytes has always been a controversial topic. Many studies have shown that reactive astrocytes are a double-edged sword with both beneficial and harmful effects. It is worth noting that their different spatial and temporal expression determines astrocytes’ various functions. Here, we comprehensively review the different roles and mechanisms of astrocytes after ischemic stroke. In addition, the intracellular mechanism of astrocyte activation has also been involved. More importantly, due to the complex cascade reaction and action mechanism after ischemic stroke, the role of astrocytes is still difficult to define. Still, there is no doubt that astrocytes are one of the critical factors mediating the deterioration or improvement of ischemic stroke.
As the cost-effective and nontoxic alternative for hydrogen evolution reaction (HER), Co9S8 has attracted much attention. This paper explores the regulation of Zn doping impacted the unique ...nanostructure and electrocatalytic performance on Co9S8. Herein, utilizing copper foam (CF) as substrate, a series of different nanostructure of (Zn-)Co9S8@CF has been synthesized by accurately varying the ratio of Zn2+ to Co2+. Compared with aggregated pure Co9S8 and other different ratios contrast samples, Zn–Co9S8@CF-(1-1) with a zinc to cobalt ratio of 1 possesses highly dispersity which can be attributed to the novel nano-neuron network structure. The electrochemical measurements for HER demonstrate that Zn–Co9S8@CF-(1-1) not only reveals superior activity with small overpotentials to achieve a current density of 10 mA cm−2 in acidic (278 mV) and alkaline (273 mV) media, but also exhibits long-time durability in the solution with a wide range of pH. The excellent performance of Zn–Co9S8@CF-(1-1) can be attributed to the unique reticular structure which can facilitate exposure of numerous active sites and favorable long-term stability. The substrate of three-dimensional CF can provide the remarkable conductivity. This work provides a precise and effective approach to regulate three-dimensional nanostructure of Zn-doped electrocatalysts for HER.
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•Zn–Co9S8 on copper foam (CF) with a nano-neuron network structure is synthesized.•The ratios of Zn2+ to Co2+ can affect the structure of Zn–Co9S8@CF.•Zn–Co9S8@CF exhibits excellent activity and long-time durability with a wide range of pH.•Zn doping is a promising method for construct the novel structure of electrocatalysts.
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•A data-based model is established to describe cross-scale iron bioreduction rates.•Sensitive analysis is used to provide insights to the data-based ‘black box’ model.•The model is ...validated using new data from the experiments in this study.
Bioreduction rates of iron (Fe) oxides are a key variable for predicting the fate and transport of Fe and contaminants in subsurface environments. Such rates, however, vary significantly at different spatial scales, and change in orders of magnitude even within the same scale. This study first collected and consistently processed the data of Fe oxide bioreduction rates from literature, which were then used to train a machine learning (ML) model that resulted in a well-fitted relationship between the cross-scale bioreduction rates and common influencing factors including electron donor concentrations, electron numbers, Fe concentrations, cell numbers, and reaction Gibbs free energy. Sensitivity analysis was performed to provide insights into the relative role of the influencing factors and how they affect the rates. The result indicated that their effects were generally consistent with saturation type models. New experiments of iron oxide bioreduction were performed to validate the ML-based cross-scale model. The result showed that ML-based model well predicted the experimental results, indicating the effectiveness of the model. The result has a strong implication for developing the models of cross-scale reaction rates of iron oxide bioreduction in environmental systems and for predicting the fate and transport of iron and contaminants.
SQSTM1/p62 is a selective macroautophagy/autophagy receptor that drives ubiquitinated cargos toward the lysosome for degradation, and also a stress-induced scaffold protein that helps cells to cope ...with oxidative stress through sequestrating KEAP1 and subsequent activation of the NFE2L2/NRF2 antioxidant pathway. Accumulating evidence implicates SQSTM1 dysregulation in the induction of multiple oncogenic transformations in vivo. SPOP (speckle type BTB/POZ protein), an E3 ubiquitin ligase adaptor, is the most frequently mutated gene in prostate cancer (Pca), but the molecular mechanisms underlying how SPOP mutations contribute to PCa tumorigenesis are still largely unknown. In a recent study, we describe a new role for SPOP as a negative regulator of autophagy and NFE2L2 pathway activation. SPOP binds and induces the non-degradative ubiquitination of SQSTM1 at Lys420. This post-translational modification decreases SQSTM1 body formation, liquid phase condensation, dimerization, and ubiquitin-binding capacity, thereby suppressing SQSTM1-dependent autophagy, KEAP1 sequestration, and NFE2L2 activation. Notably, PCa-associated SPOP mutants lose the capacity to ubiquitinate SQSTM1 and instead enhance autophagy and the antioxidant response in a dominant-negative manner. Thus, our findings indicate the critical roles of autophagy and NFE2L2 pathway activation in PCa tumorigenesis by oncogenic SPOP mutations.
Surface enhanced Raman scattering (SERS) has been widely used in detection of food safety due to the nondestructive examination property. Here, we reported a flexible SERS film based on a ...polymer-immobilized gold nanorod polymer metafilm. Polystyrene–polyisoprene–polystyrene (SIS), a transparent and flexible, along with having excellent elasticity, polymer, was chosen as the main support of gold nanorods. A simple phase transfer progress was adopted to mix the gold nanorods with the polymer, which can further be used in most water-insoluble polymers. The SERS film performed satisfactorily while being tested in a series of standard Raman probes, like crystal violet (CV) and malachite green (MG). Moreover, the excellent reproducibility and elastic properties make the film a promising substrate in practical detection. Hence, the MG detection on the fish surface and trace thiram detection on orange pericarp were inspected with detection results of 1 × 10–10 and 1 × 10–6 M, which were below the demand of the National standard of China, exactly matching the realistic application requirements.
With the rapid development of whole exome sequencing (WES), an increasing number of tools are being proposed for copy number variation (CNV) detection based on this technique. However, no ...comprehensive guide is available for the use of these tools in clinical settings, which renders them inapplicable in practice. To resolve this problem, in this study, we evaluated the performances of four WES-based CNV tools, and established a guideline for the recommendation of a suitable tool according to the application requirements.
In this study, first, we selected four WES-based CNV detection tools: CoNIFER, cn.MOPS, CNVkit and exomeCopy. Then, we evaluated their performances in terms of three aspects: sensitivity and specificity, overlapping consistency and computational costs. From this evaluation, we obtained four main results: (1) The sensitivity increases and subsequently stabilizes as the coverage or CNV size increases, while the specificity decreases. (2) CoNIFER performs better for CNV insertions than for CNV deletions, while the remaining tools exhibit the opposite trend. (3) CoNIFER, cn.MOPS and CNVkit realize satisfactory overlapping consistency, which indicates their results are trustworthy. (4) CoNIFER has the best space complexity and cn.MOPS has the best time complexity among these four tools. Finally, we established a guideline for tools' usage according to these results.
No available tool performs excellently under all conditions; however, some tools perform excellently in some scenarios. Users can obtain a CNV tool recommendation from our paper according to the targeted CNV size, the CNV type or computational costs of their projects, as presented in Table 1, which is helpful even for users with limited knowledge of computer science.
•Explored the impact mechanisms and interrelationships between industrial agglomeration and high-quality development in the marine sector.•Constructed a five-dimensional evaluation index system for ...high-quality development of marine economy.•The impact of industrial agglomeration on the green development dimension of the marine economy is time-lagged.•The impact of industrial agglomeration on high-quality economic development in the marine sector shows regional heterogeneity.
Although the high-quality development of the marine economy has become a new paradigm to explore sustainable development in China, the path to its realization remains unclear. One path being explored in China is industrial agglomeration, but whether industry clustering leads to high-quality development of the marine economy has not been fully explored. Thus, the impact of industrial agglomeration on the marine economy deserves further investigation. This study first establishes a five-dimensional index system (innovation, coordination, greenness, openness, and inclusivity) to gauge the quality of marine economic development and then applies a hybrid method to evaluate each dimension. Furthermore, from an industry perspective, this study explores the influence mechanism of marine industry agglomeration on the high-quality development of China’s marine economy from several dimensions. The results show that (1) different regions have significantly different development levels, and the growth rates vary across each dimension. (2) From a broad standpoint, marine industry clustering has greatly promoted high-quality economic development in four sectors: innovation, coordination, openness, and inclusivity. However, its impact on green development has a time lag. (3) From the perspective of geographical heterogeneity, the impact of industry clustering is insignificant in the Bohai Rim region, positive in the South China Sea region, and negative in the Yellow Sea and East China Sea. Our study can enrich the research in this field and provide reference for the development of marine industry and marine economy in coastal areas.
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