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The glucose-fructose oxidoreductase/inositol dehydrogenase/rhizopine catabolism protein (Gfo/Idh/MocA) family includes a variety of oxidoreductases with a wide range of substrates that utilize NAD or NADP as redox cofactor. Human contains two members of this family, namely glucose-fructose oxidoreductase domain-containing protein 1 and 2 (GFOD1 and GFOD2). While GFOD1 exhibits low tissue specificity, it is notably expressed in the brain, potentially linked to psychiatric disorders and severe diseases. Nevertheless, the specific function, cofactor preference, and enzymatic activity of GFOD1 remain largely unknown. In this work, we find that GFOD1 does not bind to either NAD or NADP. Crystal structure analysis unveils that GFOD1 exists as a typical homodimer resembling other family members, but lacks essential residues required for cofactor binding, suggesting that it may function as a pseudoenzyme. Exploration of GFOD1-interacting partners in proteomic database identifies NF-κB inhibitor-interacting Ras-like 2 (NKIRAS2) as one potential candidate. Co-immunoprecipitation (co-IP) analysis indicates that GFOD1 interacts with both GTP- and GDP-bound forms of NKIRAS2. The predicted structural model of the GFOD1-NKIRAS2 complex is validated in cells using point mutants and shows that GFOD1 selectively recognizes the interswitch region of NKIRAS2. These findings reveal the distinct structural properties of GFOD1 and shed light on its potential functional role in cellular processes.

Objective: Colorectal cancer (CRC) is a form of malignancy that exhibits a comparatively elevated occurrence and fatality rate. Given the relatively slower progress in diagnostic and therapeutic approaches for CRC, there is a need to investigate more accurate and efficient biomarkers. Methods: Core regulatory genes were screened using the TCGA database, and the expression of neurexophilin 4 (NXPH4) and its prognostic implications were validated using tissue microarray staining. The assessment of NXPH4 functions involved a range of experiments, including cellular, organoid, and murine models. Furthermore, a regulatory network between m5C, NXPH4, and HIF1A was established through several in vitro experiments. Results: The overexpression of NXPH4 is associated with unfavorable prognoses in patients with CRC and hepatocellular carcinoma. Additionally, it facilitates the progression of malignant tumors both in laboratory settings and in living organisms of colorectal carcinoma. Our research also reveals that NXPH4 mRNA can avoid degradation through RNautophagy, relying on an m5C-dependent mechanism. Moreover, NXPH4 amplifies the HIF signaling pathway and stabilizes HIF1A by competitively binding to PHD4. Conclusions: NXPH4, regulated by m5C, promotes malignant tumor progression and regulates the HIF pathway. Consequently, targeting NXPH4 through molecular therapies could potentially serve as an efficacious therapeutic strategy for the management of CRC exhibiting elevated NXPH4 expression. [ABSTRACT FROM AUTHOR]

Atmospheric pollution can affect human production life and physical and mental health to a great extent. In this paper, the hourly pollutant monitoring data from five state-controlled automatic atmospheric monitoring stations in Daqing City from 2017 to 2021 are collected to analyze the temporal and spatial variation patterns of CO, SO2, NO2, PM2.5, PM10, O3. And to assess the health risks of atmospheric particulate matter. The HYSPLIT model is applied to analyze air pollutants' transport pathways and the potential source areas of atmospheric particulate matter with the PSCF model. The results show that the concentrations of SO2 and NO2 are higher in the north of Daqing and the concentrations of pollutants generally show a decreasing trend with time. The hazard quotient (HQ) for atmospheric particulate matter, which is slightly above the safe range set by the EPA, is higher in winter and spring. After principal component analysis, CO, NO2, and PM10 are the main factors affecting PM2.5. In the summer, the main urban area's air pollution is mostly influenced by the southwest pollution trajectory. In other seasons, the northwest route predominantly regulates the regional transfer of contaminants. The key regions that could be the sources of atmospheric particulate matter include North China, Inner Mongolia, Mongolia, and Russia.

Labelling multiple training examples for text classification models is usually time‐consuming and complex. Data augmentation can be used to automatically expand the dataset by transforming the original data. However, it may cause semantic changes without modifying the labels, which reduces the effectiveness of the classifiers. In this paper, we propose a data‐augmentation method called the virtual word insertion technique, which generates new sentences by randomly inserting virtual words into existing sentences. Two methods are used to achieve virtual word embedding: unweighted average and weighted average. Furthermore, a new concept of weight is proposed: the class deviation factor, which demonstrates the correlation between words and classes. Based on this new concept, different weights are assigned to words of different classes. Experiments are conducted on five different classification tasks. Ablation experiments are also performed to explore the effects of random operation and number of augmented sentences for classification results. The results of these experiments show that our method improves the classification performance and outperforms two other contrasting data‐augmentation methods in automatically augmenting the dataset. Compared to raw datasets, the average accuracy improvement of our method is 3.5% for a small‐scale dataset and 1% for a large‐scale dataset. [ABSTRACT FROM AUTHOR]

Wireless charging has the advantages of safe charging and high efficiency. It has been applied to wireless data acquisition systems to solve the problem of power energy life and prolong the working life of the system. However, wireless data acquisition systems based on wireless charging currently use additional wireless communication modules to transmit data collected by sensors, which increases the volume and power consumption of the sensor nodes. It is undoubtedly catastrophic in data acquisition applications such as implantable medical devices and volume-restricted confined containers. Considering the hybrid transmission of energy and data in wireless charging system, the Qi standard is expanded in this paper to realize the transmission of sensor acquisition data by means of wireless charging system. Without additional wireless communication module, this method reduces the volume and power consumption of sensor nodes, simplifies the system circuit and reduces the cost.

Because of the potential similarities of the climate in the mid‐Pliocene to the projected conditions in the near future, studying mid‐Pliocene dryland aridity can advance our future projections. In this study, we used climate modeling to investigate mid‐Pliocene dryland aridity. Our results indicated that, in the mid‐Pliocene compared to the preindustrial period, the simulated dryland was substantially less arid in North Africa, the Arabian Peninsula, Australia and Central Asia and more arid in North and South America and Southern Africa. The combined topography, vegetation and lakes (TVL) and atmospheric CO2 concentrations markedly modified this large‐scale dryland aridity, mainly by modulating precipitation and potential evapotranspiration, respectively. Moreover, the dryland aridity during the mid‐Pliocene varied under different orbital parameter intervals, mainly through precipitation changes. Our results show the important effect of vegetation on dryland aridity in a previous warm period and imply the potential effect of vegetation on future dryland aridity. Plain Language Summary: Studying dryland aridity during the mid‐Pliocene (3.3–3.0 Ma) has implications for projecting future conditions. The dryland aridity due to individual boundary conditions during the mid‐Pliocene was investigated using climate modeling. Our results indicate that dryland aridity differed markedly in this period compared to the preindustrial period, mainly due to the combined topography, vegetation and lakes (TVL) and atmospheric CO2 concentrations. The high atmospheric CO2 concentrations under the mid‐Pliocene boundary conditions increased the average global dryland aridity, mainly by increasing the potential evapotranspiration. However, other boundary conditions, such as vegetation, also markedly affected dryland aridity by modifying the hydrological cycle. Thus, these results for the mid‐Pliocene provide useful clues about dryland aridity conditions due to increases in greenhouse gases and potential changes in vegetation in the warm future. Key Points: Changes in dryland aridity due to individual boundary conditions during the mid‐Pliocene are investigatedThe combined topography, vegetation and lakes (TVL) and atmospheric CO2 markedly affected the large‐scale dryland aridityOur results show the important effect of vegetation on dryland aridity during the mid‐Pliocene [ABSTRACT FROM AUTHOR]

Semiconductor-based photoredox catalysis is emerging as a green and promising strategy for solar–chemical energy conversion in organic synthesis. Here we present an S-scheme α-Fe2O3/g-C3N4 (FOCN) photocatalyst with good stability and recoverability for the aza-Henry reaction. The prepared FOCN composite shows significantly enhanced photocatalytic activity compared with its single-phase counterparts. The improved photocatalytic performance of the novel photocatalyst originates from the unique S-scheme feature, which not only efficiently speeds up the transfer and separation of photogenic charge carriers, but also enhances the redox ability of the photocatalyst. New perception into the fabrication of S-scheme photocatalysts for organic synthesis may be furnished by this study. [ABSTRACT FROM AUTHOR]