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The development of inertial confinement fusion (ICF) experiments necessitates the diagnostic instrument to have multiple frames with a high spatial and temporal resolution for the two-dimensional detection of the hot spot at the implosion end of the ICF. The existing sampling two-dimensional imaging technology in the world has superior performance; however, its subsequent development requires a streak tube with large lateral magnification. In this work, an electron beam separation device was designed and developed for the first time. The device can be used without changing the structure of the streak tube. It can be combined directly with the corresponding device and matched with a special control circuit. Based on the original transverse magnification, 1.77 times the secondary amplification can be achieved, which is conducive to expanding the recording range of the technology. The experimental results showed that the static spatial resolution of the streak tube after the inclusion of the device can still reach 10 lp/mm. [ABSTRACT FROM AUTHOR]

We aimed to explore the expression of IL-11 in ischemic stroke patients and its correlation with rehabilitation training and prognosis. The present randomized control study recruited ischemic stroke patients who were admitted during March 2014 to November 2020. All patients underwent computer tomography (CT) and magnetic resonance imaging (MRI) examination. All patients were randomly divided into two groups, including rehabilitation training (RT) group and control group. The patients in the RT group were received rehabilitation training within 2 days after the vital signs were stable while control group received routine nursing. The serum interleukin- (IL-) 11 levels were measured by enzyme-linked immunosorbent assay (ELISA) when patients were just hospitalized and 6 h, 24 h, 48 h, 72 h, and 90 h after treatment. Demographic, clinical statistics, imaging data, and the National Institutes of Health Stroke Scores (NIHSS) were recorded. The modified Rankin Scale (mRS) scores were measured after 90 days treatment to assess the prognosis of ischemic patients. The serum IL-11 levels of the RT group elevated more quickly during the study time compared with the control group. In addition, the NIHSS and mRS scores of ischemic stroke patients in the RT group were significantly lower than that in the control group. The NIHSS score, the proportion receiving rehabilitation training, and the levels of IL-11, triglyceride (TG), and high-density leptin cholesterol (HDLC) of ischemic stroke patients in the mRS score ≥ 3 group were remarkably elevated than that in the mRS score ≤ 2 group. However, the serum IL-11 levels of ischemic stroke patients were obviously decreased in the mRS score ≥ 3 group. IL-11 could be a potential diagnostic biomarker of poor prognosis of ischemic stroke patients. Furthermore, IL-11, NIHSS score, and rehabilitation training were the risk factors for poor prognosis of ischemic stroke patients. This study demonstrated that the ischemic stroke patients in the RT group had higher serum IL-11 levels and better prognosis. This study might provide a new approach to improve the prognosis of patients with ischemic stroke. This trial is registered with ChiCTR-PNR-16007706. [ABSTRACT FROM AUTHOR]

The photocatalytic activity of titanium dioxide (TiO2) is largely hindered by its low photoresponse and quantum efficiency. TiO2 modified by conjugated polymers (CPs) is considered a promising approach to enhance the visible light responsiveness of TiO2. In this work, in order to investigate the effect of CP structural changes on the photocatalytic performance of TiO2 under visible light, trimesoyl chloride–melamine polymers (TMPs) with different structural characteristics were created by varying the parameters of the polymerisation process of tricarbonyl chloride (TMC) and melamine (M). The TMPs were subsequently composited with TiO2 to form complex materials (TMP–TiO2) using an in situ hydrothermal technique. The photocatalytic activity of TMP–TiO2 was evaluated by the degradation of rhodamine B (RhB). The results showed that the trend of the structure of the TMP with the reaction conditions was consistent with the visible light responsiveness of TMP–TiO2, and TMP (1:1)–TiO2 had the best photocatalytic activity and could degrade 96.1% of the RhB. In conclusion, our study provided new insights into the influence of the structural changes of TMPs on the photocatalytic activity of TMP–TiO2 under visible light, and it improves our understanding of how conjugated polymers affect the photocatalytic activity of TiO2 under visible light. [ABSTRACT FROM AUTHOR]

The innovation of liquid biopsy holds great potential to revolutionise cancer management through early diagnosis and timely treatment of cancer. Integrative analysis of different tumour-derived omics data (such as genomics, epigenetics, fragmentomics, and proteomics) from body fluids for cancer detection and monitoring could outperform the analysis of single modality data alone. In this review, we focussed on the discussion of early cancer detection and molecular residual disease surveillance based on multi-omics data of blood. We summarised diverse types of tumour-derived components, current popular platforms for profiling cancer-associated signals, machine learning approaches for joint analysis of liquid biopsy data, as well as multi-omics-based early detection of cancers, molecular residual disease monitoring, and treatment response surveillance. We also discussed the challenges and future directions of multi-omics-based liquid biopsy. With the development of both experimental protocols and computational methods dedicated to liquid biopsy, the implementation of multi-omics strategies into the clinical workflow will likely benefit the clinical management of cancers including decision-making guidance and patient outcome improvement. [ABSTRACT FROM AUTHOR]

Artificial intelligence technology shows the advantages of improving efficiency, reducing costs, shortening time, reducing the number of staff on site and achieving precise operations, making impressive research progress in the fields of drug discovery and development, but there are few reports on application in energetic materials. This paper addresses the high safety risks in the current nitrification process of energetic materials, comprehensively analyses and summarizes the main safety risks and their control elements in the nitrification process, proposes possibilities and suggestions for using artificial intelligence technology to enhance the "essential safety" of the nitrification process in energetic materials, reviews the research progress of artificial intelligence in the field of drug synthesis, looks forward to the application prospects of artificial intelligence technology in the nitrification of energetic materials and provides support and guidance for the safe processing of nitrification in the propellants and explosives industry. [ABSTRACT FROM AUTHOR]

Organic donor‐acceptor complexes as new organic semiconductor class have attracted wide attention, due to their potential applications in functional optoelectronics. Herein, we present two new charge transfer cocrystals of di‐cyanodiazafluorene ‐perylene (DCPE) and di‐cyanodiazaflfluorene‐pyrene (DCPY) through a rational cocrystal‐engineering strategy. Although they are both 1 : 1 mixed stacking cocrystals with similar chemical structures, the DCPE cocrystal possesses a non‐centrosymmetric space group and narrower band gap compared to DCPY cocrystal, because of the non‐covalent bonding variation. The electrostatic potential accumulated in the lateral facets leads to highly twisted DCPE nanobelts, and the small band gap causes near infrared fluorescence. Meanwhile, the DCPY crystals with centrosymmetric space groups and weaker intermolecular interactions exhibited an untwisted morphology and red emission. This study will be helpful for the design and understanding of functional cocrystal materials that can be used in flexible micro/nano‐mechanics, mechanical energy, and optical devices. [ABSTRACT FROM AUTHOR]

High-resolution remote sensing images (HR-RSIs) have a strong dependency between geospatial objects and background. Considering the complex spatial structure and multiscale objects in HR-RSIs, how to fully mine spatial information directly determines the quality of semantic segmentation. In this paper, we focus on the Spatial-specific Transformer with involution for semantic segmentation of HR-RSIs. First, we integrate the spatial-specific involution branch with self-attention branch to form a Spatial-specific Transformer backbone to produce multilevel features with global and spatial information without additional parameters. Then, we introduce multiscale feature representation with large window attention into Swin Transformer to capture multiscale contextual information. Finally, we add a geospatial feature supplement branch in the semantic segmentation decoder to mitigate the loss of semantic information caused by down-sampling multiscale features of geospatial objects. Experimental results demonstrate that our method can achieve a competitive semantic segmentation performance of 87.61% and 80.08% mIoU on Potsdam and Vaihingen datasets, respectively. [ABSTRACT FROM AUTHOR]

Ubiquitin-specific protease (USP)19 is a deubiquitinating enzyme that regulates the stability and function of multiple proteins, thereby controlling various biological responses. The alternative splicing of USP19 results in the expression of two major encoded variants that are localized to the endoplasmic reticulum (ER) (USP19-ER) and cytoplasm (USP19-CY). The importance of alternative splicing for the function of USP19 remains unclear. Here, we demonstrated that USP19-CY promotes TGF-β signaling by directly interacting with TGF-β type I receptor (TβRI) and protecting it from degradation at the plasma membrane. In contrast, USP19-ER binds to and sequesters TβRI in the ER. By decreasing cell surface TβRI levels, USP19-ER inhibits TGF-β/SMAD signaling in a deubiquitination-independent manner. Moreover, USP19-ER inhibits TGF-β-induced epithelial–mesenchymal transition (EMT), whereas USP19-CY enhances EMT, as well as the migration and extravasation of breast cancer cells. Furthermore, USP19-CY expression is correlated with poor prognosis and is higher in breast cancer tissues than in adjacent normal tissues. Notably, the splicing modulator herboxidiene inhibits USP19-CY, increases USP19-ER expression and suppresses breast cancer cell migration. Targeting USP19 splicing or its deubiquitinating activity may have potential therapeutic effects on breast cancer. [ABSTRACT FROM AUTHOR]

In Underwater Wireless Sensor Networks (UWSNs), data should be transmitted to data centers reliably and efficiently. However, due to the harsh channel conditions, reliable data transmission is a challenge for large-scale UWSNs. Thus, opportunistic routing (OR) protocols with high reliability, strong robustness, low end-to-end delay, and high energy efficiency are widely applied. However, OR in UWSNs is vulnerable to routing attacks. For example, sinkhole attack nodes can attract traffic from surrounding nodes by forging information such as the distance to the sink node. In order to reduce the negative impact of malicious nodes on data transmission, we propose an intrusion detection scheme (IDS) based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm for OR (DOIDS) in this paper. DOIDS is based on small-sample IDS and is suitable for UWSNs with sparse node deployment. In DOIDS, the local monitoring mechanism is adopted. Every node in the network running DOIDS can select the trusted next hop. Firstly, according to the behavior characteristics of common routing attack nodes and unreliable underwater acoustic channel characteristics, DOIDS selected the energy consumption, forwarding, and link quality information of candidate nodes as the detection feature values. Then, the collected feature information is used to detect potential abnormal nodes through the DBSCAN clustering algorithm. Finally, a decision function is defined according to the time decay function to reduce the false detection rate of DOIDS. It makes a final judgment on whether the potential abnormal node is malicious. The simulation results show that the algorithm can effectively improve the detection accuracy rate (3% to 15% for different scenarios) and reduce the false positive rate, respectively. [ABSTRACT FROM AUTHOR]

Aiming at the real-time robust optimization problem of perishable supply-chain systems in complex environments, a real-time robust optimization scheme based on supply-chain digital twins is proposed. Firstly, based on the quantitative logical relationship between production and sales of single-chain series supply-chain system products, the state space equation of the supply-chain system with logical characteristics, structural characteristics, and quantitative characteristics was constructed, and twin data were introduced to construct the digital twins of supply chains based on the state-space equation. Secondly, the perishable supply-chain system in complex environments was regarded as an uncertain closed-loop system from the perspective of the state space equation, and then a robust H ∞ controller design strategy was proposed, and the supply-chain digital twins was used to update and correct the relevant parameters of the supply-chain system in real-time, to implement the real-time robust optimization based on the supply-chain digital twins. Finally, the simulation experiment was carried out with a cake supply-chain production as an example. The experimental results show that the real-time updating of relevant parameters through the digital twins can help enterprise managers to formulate reasonable management plans, effectively avoid the shortage problem of enterprises in the cake supply-chain system, and reduce the maximum inventory movement standard deviation of each link by 12.65%, 6.50%, and 14.87%, and the maximum production movement standard deviation by 70.21%, 56.84%, and 45.19%. [ABSTRACT FROM AUTHOR]

Background: CKLF-like MARVEL transmembrane domain containing 3 (CMTM3) plays an important role in cancer development. Although Helicobacter pylori (H. pylori) infection is a main cause of gastric cancer, the function of CMTM3 during H. pylori infection remains unclear. CMTM3 expression levels in tissues from H. pylori-infected patients and cells co-cultured with H. pylori were analyzed. qRT-PCR and ELISA were used to investigate the effects of CMTM3 on interleukin 8 (IL-8) expression. Annexin V/propidium iodide staining was performed to evaluate the function of CMTM3 in the apoptosis of gastric epithelial cells. Proteomic analysis was performed to explore the underlying mechanism of CMTM3 during H. pylori infection. The interaction between CMTM3 and NEMO was determined via co-immunoprecipitation, HA-ubiquitin pull-down assay, and immunofluorescence. Results: H. pylori induced a significant increase in CMTM3 expression. CMTM3 inhibited gastric mucosal epithelial cells from apoptosis and increased the expression level of IL-8 during H. pylori infection. KEGG pathway enrichment analysis revealed that differentially expressed proteins were involved in epithelial cell signaling in H. pylori infection. CMTM3 directly interacted with NEMO, which promoted protein stabilization by down-regulation of its ubiquitylation. Conclusions: CMTM3 reduces apoptosis and promotes IL-8 expression in the gastric epithelial cells by stabilizing NEMO during H. pylori infection. These findings characterize a new role for CMTM3 in host–pathogen interactions and provide novel insight into the molecular regulation of NEMO. [ABSTRACT FROM AUTHOR]

Purpose: This prospective study was aimed to investigate the potential utility of [18F]fibroblast activation protein inhibitor (FAPI) PET/CT for evaluating focal liver lesions (FLLs) with [18F]FDG non-avidity. Methods: From January 2021 to March 2022, this prospective study included 80 FLLs that were not avid on [18F]FDG PET/CT from 37 patients, then underwent [18F]FAPI PET/CT. All patients with FLL(s) with biopsy-proof or follow-up confirmation were categorized into four subgroups (20 hepatocellular carcinomas [HCCs]/5 non-HCC malignancies/4 inflammatory FLLs/8 benign noninflammatory FLLs). The diagnostic value of [18F]FAPI for detecting liver malignancy was determined by visual evaluation. Differences in the maximum standardized uptake value (SUVmax) and lesion-to-background ratio (LBR) obtained from [18F]FAPI PET/CT among the four subgroups were analyzed by semiquantitative analysis. Results: Among the thirty-seven enrolled participants (34 males; median age 57 years, range 48–67 years), on visual evaluation, the sensitivity, specificity, and accuracy of [18F]FAPI PET for detecting liver malignancy in the patient-based analysis were 96.0% (24/25), 58.3% (7/12), and 83.8% (31/37), respectively. On semiquantitative analysis, the SUVmax and LBR of [18F]FAPI PET in liver malignancy (33 HCC lesions; 19 non-HCC malignant lesions) were significantly higher than those in 11 benign noninflammatory FLLs [HCC: SUVmax: 6.4 vs. 4.5, P = 0.017; LBR: 5.1 vs. 1.5, P = 0.003; non-HCC: SUVmax: 5.5 vs. 4.5, P = 0.008; LBR: 4.4 vs. 1.5, P = 0.042]. Notably, there was no significant difference in the SUVmax of [18F]FAPI PET between 33 HCC lesions and 17 inflammatory FLLs (6.4 vs. 8.2, P = 0.37), but the LBR of [18F]FAPI PET in HCC were significantly lower than that in inflammatory FLLs (5.1 vs. 9.1, P = 0.003). Conclusions: [18F]FAPI PET/CT shows high sensitivity in detecting HCC and non-HCC malignancy with [18F]FDG non-avidity. [18F]FAPI might be a promising radiopharmaceutical for the differential diagnosis of benign noninflammatory FLLs and liver malignancy with [18F]FDG non-avidity. [ABSTRACT FROM AUTHOR]

The codling moth Cydia pomonella is a major pest of global significance impacting pome fruits and walnuts. It threatens the apple industry in the Loess Plateau and Bohai Bay in China. Sterile insect technique (SIT) could overcome the limitations set by environmentally compatible area-wide integrated pest management (AW-IPM) approaches such as mating disruption and attract-kill that are difficult to suppress in a high-density pest population, as well as the development of insecticide resistance. In this study, we investigated the effects of X-ray irradiation (183, 366, 549 Gy) on the fecundity and fertility of a laboratory strain of C. pomonella , using a newly developed irradiator, to evaluate the possibility of X-rays as a replacement for Cobalt60 (60Co- γ) and the expanded future role of this approach in codling moth control. Results show that the 8th-day is the optimal age for irradiation of male pupae. The fecundity decreased significantly as the dosage of radiation increased. The mating ratio and mating number were not influenced. However, treated females were sub-sterile at a radiation dose of 183 Gy (20.93%), and were almost 100% sterile at a radiation dose of 366 Gy or higher. Although exposure to a radiation dose of 366 Gy resulted in a significant reduction in the mating competitiveness of male moths, our radiation biology results suggest that this new generation of X-ray irradiator has potential applications in SIT programs for future codling moth control. [ABSTRACT FROM AUTHOR]

This paper studies the trajectory tracking control problem of second-order underactuated system subject to system uncertainties and prescribed performance constraints. By combining radial basis function neural networks (RBFNNs) with input–output linearization methods, an adaptive neural network-based control approach is proposed and the adaptive laws are given through Lyapunov method and Taylor expansion linearization approach. The main contributions of this paper are that: (1) by introducing weight performance function and transformation function, the states never violate the prescribed performance constraints; (2) the control scheme takes the unknown control gain direction into consideration and the singular problem of control design can be avoided; (3) through rigorously stability analysis, all signal of closed-loop system are proved to be uniformly ultimately bounded. The effectiveness of the proposed control scheme was verified by comparative simulation. [ABSTRACT FROM AUTHOR]

Background: As a malignant tumor, pancreatic cancer has an extremely low overall 5-year survival rate. Pancreatic adenosquamous carcinoma (PASC), a rare pancreatic malignancy, owns clinical presentation similar to pancreatic ductal adenocarcinoma (PDAC), which is the most prevalent pancreatic cancer subtype. PASC is generally defined as a pancreatic tumor consisting mainly of adenocarcinoma tissue and squamous carcinoma tissue. Compared with PDAC, PASC has a higher metastatic potential and worse prognosis, and lacks of effective treatment options to date. However, the pathogenesis and treatment of PASC are not yet clear and are accompanied with difficulties. Conclusion: The present paper systematically summarizes the possible pathogenesis, diagnosis methods, and further suggests potential new treatment directions through reviewing research results of PASC, including the clinical manifestations, pathological manifestation, the original hypothesis of squamous carcinoma and the potential regulatory mechanism. In short, the present paper provides a systematic review of the research progress and new ideas for the development mechanism and treatment of PASC. [ABSTRACT FROM AUTHOR]

Asphalt concrete has been used as a material for dam core walls because of its impermeability, durability and reliability. Firstly, asphalt is a temperature-sensitive material, and many of its characteristics are related to temperature. Secondly, because of the increasing construction height of the dam, the pressure on the asphalt concrete core wall is also great. Finally, for the purpose of resource utilization, it is necessary to verify whether the reclaimed asphalt concrete can be used in dam construction. Therefore, it is necessary to study the stress and deformation characteristics of recycled asphalt concrete under different temperatures and confining pressures. In this study, three groups of triaxial tests of reclaimed asphalt concrete were carried out for the first time in a new temperature-controlled room. Duncan Zhang's E-v model was used to fit the test results. The results show that the stress–strain curves of reclaimed asphalt concrete show softening characteristics at low temperatures and low confining pressure. It evolves to a hardening type with the increase in temperature and confining pressure. The bulk curve is first contracts but is followed by dilatancy. The dilatancy characteristics become more obvious at low temperatures and low confining pressure. With the increase in temperature and confining pressure, the dilatancy characteristics will weaken. Duncan Zhang's E-v model has a good fitting effect on the stress–strain relationship but a poor fitting effect on the volumetric curve. The research of this paper can better combine the utilization of waste resources with engineering and achieve the aim of resource-saving and waste utilization under the premise of ensuring the safety of the engineering [ABSTRACT FROM AUTHOR]

A novel lytic Serratia liquefaciens phage, named vB_SlqM_MQ-4, was isolated from sewage. BLASTn analysis showed that the genome sequence of phage vB_SlqM_MQ-4 shared only 15% query coverage with that of Escherichia phage vB_EcoM-ep3, with 80.52% identity. Genomic analysis demonstrated that phage vB_SlqM_MQ-4 has a 43,534-bp dsDNA genome with 56% GC content and might be a member of a new genus in the order Caudoviricetes. Moreover, vB_SlqM_MQ-4 exhibited strong lytic performance with a short latent period (10 min) and a high burst size (267 PFU per cell) as well as a wide range of thermal (below 70 ℃) and pH tolerance (pH 4–12). [ABSTRACT FROM AUTHOR]

The identification of drug–drug interactions (DDIs) plays a crucial role in various areas of drug development. In this study, a deep learning framework (KGCN_NFM) is presented to recognize DDIs using coupling knowledge graph convolutional networks (KGCNs) with neural factorization machines (NFMs). A KGCN is used to learn the embedding representation containing high-order structural information and semantic information in the knowledge graph (KG). The embedding and the Morgan molecular fingerprint of drugs are then used as input of NFMs to predict DDIs. The performance and effectiveness of the current method have been evaluated and confirmed based on the two real-world datasets with different sizes, and the results demonstrate that KGCN_NFM outperforms the state-of-the-art algorithms. Moreover, the identified interactions between topotecan and dantron by KGCN_NFM were validated through MTT assays, apoptosis experiments, cell cycle analysis, and molecular docking. Our study shows that the combination therapy of the two drugs exerts a synergistic anticancer effect, which provides an effective treatment strategy against lung carcinoma. These results reveal that KGCN_NFM is a valuable tool for integrating heterogeneous information to identify potential DDIs. [ABSTRACT FROM AUTHOR]

Endometrial carcinoma (EC) morbidity and mortality have been increasing in recent years. Otubain 2 (OTUB2) was shown to be upregulated in EC patients, so the aim of this study was to explore the role of OTUB2 in EC. Cell Counting Kit‐8 (CCK‐8), colony formation, enzyme‐linked immunosorbent assay, the wound healing assay, and Transwell invasion assays were used to investigate the specific role of OTUB2 in EC tumorigenesis. Real‐time polymerase chain reaction and western blot analysis were used to detect the expression of OTUB2 in EC tissues and cells. OTUB2 is upregulated in EC patients and cell lines and is associated with a poor prognosis. The overexpression of OTUB2 promoted glycolysis and induced the proliferation, migration, and invasion of endometrial cancer cells. The silencing of OTUB2 had the opposite effect. In addition, the silencing of OTUB2 significantly suppressed the expression levels of PKM2. Importantly, inhibition of the PKM2/PI3K/AKT signaling pathway significantly reversed the promoting effect of OTUB2 overexpression on EC. OTUB2 regulated the proliferation and invasion of EC cells by regulating the PKM2/PI3K/AKT signaling pathway. OTUB2 may serve as a potential prognostic and therapeutic target in EC. [ABSTRACT FROM AUTHOR]

Hypocotyl elongation is dramatically influenced by environmental factors and phytohormones. Indole‐3‐acetic acid (IAA) plays a prominent role in hypocotyl elongation, whereas abscisic acid (ABA) is regarded as an inhibitor through repressing IAA synthesis and signalling. However, the regulatory role of ABA in local IAA deactivation remains largely uncharacterized. In this study, we confirmed the antagonistic interplay of ABA and IAA during the hypocotyl elongation of tomato (Solanum lycopersicum) seedlings. We identified an IAA oxidase enzyme DIOXYGENASE FOR AUXIN OXIDATION2 (SlDAO2), and its expression was induced by both external and internal ABA signals in tomato hypocotyls. Moreover, the overexpression of SlDAO2 led to a reduced sensitivity to IAA, and the knockout of SlDAO2 alleviated the inhibitory effect of ABA on hypocotyl elongation. Furthermore, an ABA‐responsive regulatory SlAREB1/SlABI3‐1/SlABI5 cascade was identified to act upstream of SlDAO2 and to precisely control its expression. SlAREB1 directly bound to the ABRE present in the SlDAO2 promoter to activate SlDAO2 expression, and SlABI3‐1 enhanced while SlABI5 inhibited the activation ability of SlAREB1 by directly interacting with SlAREB1. Our findings revealed that ABA might induce local IAA oxidation and deactivation via SlDAO2 to modulate IAA homoeostasis and thereby repress hypocotyl elongation in tomato. Summary statement: We found that ABA regulates expression of IAA oxidase gene SlDAO2 via the AREB1/ABI3‐1/ABI5 transcription factor cascade, and thereby modulating IAA homeostasis and inhibiting hypocotyl elongation in tomato seedlings. [ABSTRACT FROM AUTHOR]

Resident neural precursor cells (NPCs) activation is a promising therapeutic strategy for brain repair. This strategy involves stimulating multiple stages of NPCs development, including proliferation, self-renewal, migration, and differentiation. Metformin, an FDA-approved diabetes drug, has been shown to promote the proliferation and differentiation of NPCs. However, it is still unclear whether metformin promotes the migration of NPCs. EVOS living cell imaging system was used for observing the migration for primary NPCs dynamically in vitro after metformin treatment. For in vivo study, a mouse model of ischemic stroke was established through middle cerebral artery occlusion (MCAO). To label the proliferating cell in subventricular zone, BrdU was injected intraperitoneally into the mice. After co-staining with BrdU and doublecortin (DCX), a marker for NPCs, the migration of Brdu and DCX double positive NPCs was detected along the rostral migratory stream (RMS) and around the infarct area using frozen brain sections. Finally, the rotarod test, corner test and beam walking were performed to evaluate the motor functions of the mice after stroke in different groups. The results showed that metformin enhanced NPCs migration in vivo and in vitro by promoting F-actin assembly and lamellipodia formation. What's more, metformin treatment also significantly reduced the infarct volume and alleviated functional dysfunction after stroke. Mechanistically, metformin promoted NPCs migration via up-regulating the CDC42 expression. Taken together, metformin represents an optimal candidate agent for neural repair that is capable of not only expanding the adult NPC population but also subsequently driving them toward the destination for neuronal differentiation. [ABSTRACT FROM AUTHOR]

Rice is the most important staple food in Asia. However, high-spatiotemporal-resolution rice yield datasets are limited over this large region. The lack of such products greatly hinders studies that are aimed at accurately assessing the impacts of climate change and simulating agricultural production. Based on annual rice maps in Asia, we incorporated multisource predictors into three machine learning (ML) models to generate a high-spatial-resolution (4 km) seasonal rice yield dataset (AsiaRiceYield4km) for the 1995–2015 period. Predictors were divided into four categories that considered the most comprehensive rice growth conditions, and the optimal ML model was determined based on an inverse probability weighting method. The results showed that AsiaRiceYield4km achieves good accuracy for seasonal rice yield estimation (single rice: R2=0.88 , RMSE = 920 kg ha -1 ; double rice: R2=0.91 , RMSE = 554 kg ha -1 ; and triple rice: R2=0.93 , RMSE = 588 kg ha -1). Compared with single rice from the Spatial Production Allocation Model (SPAM), the R2 of AsiaRiceYield4km was improved by 0.20, and the RMSE was reduced by 618 kg ha -1 on average. In particular, constant environmental conditions, including longitude, latitude, elevation and soil properties, contributed the most (∼ 45 %) to rice yield estimation. For different rice growth periods, we found that the predictors of the reproductive period had greater impacts on rice yield prediction than those of the vegetative period and the whole growing period. AsiaRiceYield4km is a novel long-term gridded rice yield dataset that can fill the unavailability of high-spatial-resolution seasonal yield products across major rice production areas and promote more relevant studies on agricultural sustainability worldwide. AsiaRiceYield4km can be downloaded from the following open-access data repository: https://doi.org/10.5281/zenodo.6901968 (Wu et al., 2022). [ABSTRACT FROM AUTHOR]

The standard principles of satellite-based gravity measurement have encouraged researchers to apply vertical Gravity Recovery and Climate Experiment (GRACE) data to water-related issues, but this has ignored the link between large-scale terrestrial water storage anomalies (TWSA) and local-scale surface hydrologic elements. This study evaluated GRACE's ability to explain the shrinkage of a 30-km2 lake in Angulinao Basin (northern China), which is a terminal lake within a closed basin (TLCB). A monthly lake-area series was derived from Landsat imagery using the normalized difference water index (NDWI), and the relationship between the lake area and the basin's TWSA was determined by linear and polynomial fitting. The developed statistical model was then used to estimate the water storage deficit when the lake dries up or the inundated area when the lake recovers. The results show that change in the lake area sensitively responded to change in the basin's TWSA. The GRACE-derived and Landsat-derived lake areas possessed identical amplitudes and minimal time lag. Following the drying up of Lake Angulinao, the TWSA was utilized to successfully forecast several short-term recovery events; however, the TLCB shape, serving as the bridge between large-scale TWSA and small-scale lake dynamics, has the limitation of requiring the evaluated lake to be a terminal lake, which cannot be guaranteed under extreme human activities. This study emphasizes the importance of integrating GRACE and optical remote-sensing to address the issue of lake shrinkage and it changes the mindset that GRACE can only be used vertically to understand hydrologic phenomena in subtle domains. [ABSTRACT FROM AUTHOR]

[Display omitted] • Various lignocellulose biomasses are hydrothermally carbonized with PVC. • Insoluble lignin affected synergistic interactions, inhibiting chlorine removal. • Inorganics removal is always enhanced due to leaching and metathesis reaction. • Synergistic index on dechlorination ranged from −20.3% to 19.9%. • Synergistic index on inorganics removal ranged from 0.74% to 154%. Co-hydrothermal carbonization (co-HTC) of lignocellulose biomass (LB) and chlorinated waste can simultaneously remove organic chlorine and inorganics, however, the interaction mechanisms are unclear owing to the variety of operating conditions and complexity of biomass compositions. Pine, bamboo, corncob, corn stalk, and wheat straw were co-hydrothermally carbonized with polyvinyl chloride (PVC) at the mass ratio of 9:1 for 30 min under 260 °C to explore the fundamental interactions. The synergistic index (SI) of dechlorination efficiency ranged from −20.3 % to 19.9 %, indicating the interaction depended on the content and composition of cellulose, hemicellulose, and lignin in the LB feedstocks. Hydroxyl functional groups in cellulose and soluble lignin dehydration intermediates promoted PVC substitution. The LB fragments prevented PVC aggregation while promoted PVC fragmentation, thereby facilitating dechlorination. The polyaromatic hydrochar derived from insoluble lignin and polymeric hydrochar derived from hemicellulose, cellulose, and soluble lignin can coat the surface of molten PVC and act as significant dechlorination inhibitors. All SI of removal efficiency of inorganics (RE) were positive, ranging from 0.74 % to 154 %, with large variations for different inorganics, indicating that inorganics contents in LB influenced RE significantly. A large amount of water-insoluble/acid-soluble inorganics was removed via a metathesis reaction. Soluble inorganics were dissolved in the process water by HCl leaching. [ABSTRACT FROM AUTHOR]

Abbreviations CJD Creutzfeldt-Jakob disease CSF Cerebrospinal fluid DWI Diffusion-weighted image EEG Electroencephalogram FLAIR Fluid-attenuated inversion recovery HLA Human leukocyte antigen MRI Magnetic resonance imaging PCR Polymerase chain reaction PRNP Prion protein gene PrP SP Sc sp Scrapie isoform of the prion protein PSWC Periodic sharp wave complexes RT-QuIC Real-time quaking-induced conversion RBD Rapid eye movement sleep behavioral disorder Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. We hypothesize that the scrapie isoform of the prion protein deposits in this patient triggered phosphorylated tau deposition, which coupled with a genetic susceptibility to anti-IgLON5 disease, eventually resulted in the positive of anti-IgLON5 antibody. However, given that this patient is a carrier of I HLA-DQB1 i SP I * i sp I 05:01 i , which is recognized in approximately 90% of patients with anti-IgLON5 antibodies and in only 3.38% of the Chinese population [[9]], and the prolonged disease course, the possibility of coexistence of the two diseases cannot be completely ruled out. Less than 5% of CJD patients could produce autoantibodies, including those specific for NMDAR, GluR 2, VGKC complex, CASPR2, and GLyR; those antibodies may also be a factor in the development of the disease's clinical symptoms. [Extracted from the article]

Dihydroartemisinin (DHA) has anticancer effects on multiple tumors, including those associated with breast cancer. This study aimed to investigate the mechanism causing DHA-reversing cisplatin (DDP) resistance in breast cancer. Relative mRNA and protein levels were tested using a qRT-PCR and western blot assay. Cell proliferation, viability, and apoptosis were evaluated using colony formation, MTT, and flow cytometry assays, respectively. Interaction of STAT3 and DDA1 was measured via a dual-luciferase reporter assay. The results showed that DDA1 and p-STAT3 levels were dramatically elevated in DDP-resistant cells. DHA treatment repressed proliferation and induced apoptosis of DDP-resistant cells by suppressing STAT3 phosphorylation; the inhibition ability was positively proportional to the DHA concentration. DDA1 knockdown inhibited cyclin expression, promoted G0/G1 phase arrest, restrained cell proliferation, and induced apoptosis of DDP-resistant cells. Furthermore, knockdown of STAT3 restrained proliferation and induced apoptosis and G0/G1 cell cycle arrest of DDP-resistant cells by targeting DDA1. DHA could restrain tumor proliferation of breast cancer via enhancing drug sensitivity of DDP-resistant cells through the STAT3/DDA1 signaling pathway. [ABSTRACT FROM AUTHOR]

In this paper, we study the robust recovery of signals for general noise by ℓ 1 - 2 / ℓ p ( 2 ≤ p < + ∞ ) minimization with partially known support (PKS). A recovery condition for ℓ 1 - 2 / ℓ p minimization by incorporating prior support information is established, and an error estimate is obtained. In particular, the obtained results not only provide a new theoretical guarantee to robustly recover signals for general noise, but also improve and generalize the state-of-the-art ones. In addition, a series of numerical experiments are carried out to confirm the validity of the proposed method, which show that incorporating prior support information for ℓ 1 - 2 / ℓ p minimization exhibits better recovery performance than ℓ 1 - 2 / ℓ p minimization. [ABSTRACT FROM AUTHOR]

Simple Summary: Gastric cancer (GC) ranks as one of the most life-threatening malignancies worldwide, and over one billion new cases and 783,000 deaths were reported last year. The incidence of GC is exceptionally high in Asian countries. Multiple oncogenic signaling pathways are aberrantly activated and implicated in gastric carcinogenesis, leading to the malignant phenotype acquisition. G-protein-coupled receptor (GPCR) signaling is one of them, and the aberrant activation of GPCRs and G proteins promotes GC progression. The activated GPCRs/G proteins might serve as useful biomarkers for early diagnosis, prognostic prediction, and even clinically therapeutic targets. This review summarized the recent research progress of GPCRs and highlighted their mechanisms in tumorigenesis, especially in GC initiation and progression. G-protein-coupled receptors (GPCRs) belong to a cell surface receptor superfamily responding to a wide range of external signals. The binding of extracellular ligands to GPCRs activates a heterotrimeric G protein and triggers the production of numerous secondary messengers, which transduce the extracellular signals into cellular responses. GPCR signaling is crucial and imperative for maintaining normal tissue homeostasis. High-throughput sequencing analyses revealed the occurrence of the genetic aberrations of GPCRs and G proteins in multiple malignancies. The altered GPCRs/G proteins serve as valuable biomarkers for early diagnosis, prognostic prediction, and pharmacological targets. Furthermore, the dysregulation of GPCR signaling contributes to tumor initiation and development. In this review, we have summarized the research progress of GPCRs and highlighted their mechanisms in gastric cancer (GC). The aberrant activation of GPCRs promotes GC cell proliferation and metastasis, remodels the tumor microenvironment, and boosts immune escape. Through deep investigation, novel therapeutic strategies for targeting GPCR activation have been developed, and the final aim is to eliminate GPCR-driven gastric carcinogenesis. [ABSTRACT FROM AUTHOR]

Loss of production due to local water scarcity, i.e., Local Water Scarcity Risk (LWSR), is transferred downstream through international supply chains to distant economies, causing potential economic losses to countries and sectors that do not directly experience actual water scarcity, which is defined as Virtual Water Scarcity Risk (VWSR). Much research has focused on assessing VWSR and characterizing the structure of VWSR transfer networks, without explaining the formation and dynamics of VWSR transfer network patterns. In this study, the global VWSR transfer networks for 2001–2016 are then constructed based on a multi-regional input-output model and complex network theory. The determinants influencing the formation of VWSR transfer networks are further explored using the time-exponential random graph model. The results demonstrate that: (1) The VWSR transfer networks exhibit a distinctly small-world and heterogeneous nature; (2) Asia and Europe are the main targets of VWSR transfers, and Asia is also the main source of risks; (3) China and the USA play a leading role on the import side of VWSR, and India is the largest exporter of VWSR; (4) The evolution of VWSR transfer networks is significantly influenced by transitivity and stability. Countries located on the same continent, sharing geographical borders and having a higher level of economic development, have a facilitating effect on the formation and evolution of VWSR transfer networks. Countries with a higher share of merchandise trade are more inclined to receive VWSR inflows, while the urbanization rate has a restraining effect on VWSR outflows. The study provides a network-based insight that explores the structural evolution of VWSR transfer networks and the determinants of their formation, informing policy makers in developing strategies to mitigate the cascading spread of VWSR. [ABSTRACT FROM AUTHOR]

We discuss the rainbow Ramsey theorems at limit cardinals and successors of singular cardinals, addressing some questions by Uri Abraham, James Cummings, and Clifford Smyth [J. Symbolic Logic 72 (2007), pp. 865–895] and Uri Abraham and James Cummings [Cent. Eur. J. Math. 10 (2012), pp. 1004–1016]. In particular, we show for inaccessible \kappa, \kappa \to ^{poly}(\kappa)^2_{2-bdd} does not characterize weak compactness and for any singular cardinal \kappa, \square _\kappa implies \kappa ^+\not \to ^{poly} (\eta)^2_{<\kappa -bdd} for any \eta \geq cf(\kappa)^+ and \kappa ^{

Mining more rich visual features and analyzing the context information from image for decoding part has become a challenging problem in image captioning. Some recent works employ other knowledge bases to obtain the additional objects semantic relationships by constructing scene graph, which spend much time on pre-training scene graph and these artificial defined relationships may not be comprehensive. In this paper, a novel hierarchical decoding with latent context method is proposed for image captioning, which analyzes the visual context information and decodes multi-level visual features by a hierarchical decoding method to achieve more accurate caption words. In our proposed method, a novel Latent Context Generation Network (LCGN) is proposed to infer latent relationships between objects without any external knowledge, and meanwhile, a context vector which contains rich neighbor information for each object is constructed. Then a graph convolutional network with attention is used to further aggregate latent context information for achieving high-level context features by combining objects features and their context vectors. Finally, hierarchical decoding based on Triple Long Short-Term Memory (Tri-LSTM) is proposed to decode global features, local features and object features hierarchically, which gradually analyzes the content of the image from the whole to the local to the object. Experiments on MSCOCO dataset prove that our proposed method can achieve extremely competitive results in image captioning and outperform most CNN-RNN architecture methods. [ABSTRACT FROM AUTHOR]

Epithelial‐mesenchymal transition (EMT) is pivotal in the initiation and development of cancer cell metastasis. We observed that the abundance of glycosphingolipids (GSLs), especially ganglioside subtypes, decreased significantly during TGF‐β‐induced EMT in NMuMG mouse mammary epithelial cells and A549 human lung adenocarcinoma cells. Transcriptional profiling showed that TGF‐β/SMAD response genes and EMT signatures were strongly enriched in NMuMG cells, along with depletion of UDP‐glucose ceramide glucosyltransferase (UGCG), the enzyme that catalyzes the initial step in GSL biosynthesis. Consistent with this finding, genetic or pharmacological inhibition of UGCG promoted TGF‐β signaling and TGF‐β‐induced EMT. UGCG inhibition promoted A549 cell migration, extravasation in the zebrafish xenograft model, and metastasis in mice. Mechanistically, GSLs inhibited TGF‐β signaling by promoting lipid raft localization of the TGF‐β type I receptor (TβRI) and by increasing TβRI ubiquitination and degradation. Importantly, we identified ST3GAL5‐synthesized a‐series gangliosides as the main GSL subtype involved in inhibition of TGF‐β signaling and TGF‐β‐induced EMT in A549 cells. Notably, ST3GAL5 is weakly expressed in lung cancer tissues compared to adjacent nonmalignant tissues, and its expression correlates with good prognosis. Synopsis: How is dynamic epithelial‐mesenchymal transition (EMT) of cancer cells controlled upstream? This study identifies plasma membrane glycosphingolipid (GSL) composition and related biosynthesis enzymes as key suppressors of dynamic EMT and malignant transformation in human epithelia. Quantitative mass spectrometry determines EMT‐induced alterations of GSLs.A‐series ganglioside expression is strongly decreased upon TGF‐β stimulation of normal breast and lung cancer cells undergoing EMT.GSL biosynthesis enzymes UGCG and ST3GAL5 inhibit TGF‐β‐induced EMT, invasion and metastasis in vitro and in vivo.Depletion of UGCG or ST3GAL5 favors TβRI localization in lipid rafts, triggering its ubiquitination and subsequent degradation.ST3GAL5 expression is reduced in aggressive human lung cancer and correlates with better prognosis. [ABSTRACT FROM AUTHOR]

Glycidyl azide polymer-energetic thermoplastic elastomer propellant (GAP-ETPE) has high development prospects as a green solid propellant, although the preparation of GAP-ETPE with excellent performance is still a challenge. Focusing on the demand of high-strength solid propellants for free-loading rocket motors, a GAP-ETPE model propellant with excellent overall performance was prepared in this work, and the influence of adhesive structure characteristics on its fluidity was studied. Furthermore, the influence of filler on the rheological properties of the model propellant was investigated by introducing hexogen (RDX) and Al, and a corresponding two-phase model was established. The results may provide a reference for the structural design, molding process, and parameter selection of high-performance GAP-based green solid propellants. [ABSTRACT FROM AUTHOR]

In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI. First, we adopted a remote sensing image cloud detection algorithm for detecting important targets in images, that is, separating the remote sensing background from important regions in remote sensing images and then determining the target regions because most traditional ROI-based image compression algorithms utilize the manual labeling of the ROI to achieve region separation in images. We designed a multiscale ROI self-coding network from coarse to fine with a hierarchical super priority layer to synthesize images to reduce the spatial redundancy more effectively, thus greatly improving the distortion rate performance of image compression. By using a spatial attention mechanism for the ROI in the image compression network, we achieved better compression performance. [ABSTRACT FROM AUTHOR]

Camptothecin (CPT), first isolated from Chinese tree Camptotheca acuminate, produces rapid and prolonged inhibition of DNA synthesis and induction of DNA damage by targeting topoisomerase I (top1), which is highly activated in cancer cells. CPT thus exhibits remarkable anticancer activities in various cancer types, and is a promising therapeutic agent for the treatment of cancers. However, it remains to be uncovered underlying its cytotoxicity toward germ cells. In this study we found that CPT, a cell cycle-specific anticancer agent, reduced fecundity and exhibited significant cytotoxicity toward GSCs and two-cell cysts. We showed that CPT induced GSC loss and retarded two-cell cysts differentiation in a niche- or apoptosis-independent manner. Instead, CPT induced ectopic expression of a differentiation factor, bag of marbles (Bam), and regulated the expression of cyclin A, which contributed to GSC loss. In addition, CPT compromised two-cell cysts differentiation by decreasing the expression of Bam and inducing cell arrest at G1/S phase via cyclin A, eventually resulting in two-cell accumulation. Collectively, this study demonstrates, for the first time in vivo, that the Bam–cyclin A axis is involved in CPT-mediated germline stem cell loss and two-cell cysts differentiation defects via inducing cell cycle arrest, which could provide information underlying toxicological effects of CPT in the productive system, and feature its potential to develop as a pharmacology-based germline stem cell regulation agent. [ABSTRACT FROM AUTHOR]

Sr(Ti 1-x Fe x)O 3−δ (STF) perovskite has been developed as one of the alternatives to Nickel-base fuel electrodes for solid oxide electrochemical cells (SOCs) that can provide good tolerance to redox cycling and fuel impurities. Recent results on STF fuel electrodes present excellent electrochemical performance and outstand stability both under H 2 fuel cell mode and H 2 O electrolysis mode, however, the electrochemical characteristics in other fuel gases, such as CO, CO–H 2 mixture, CH 4 , and CO–CO 2 mixture have not been investigated. Herein, we report the electrochemical performance of Sr(Ti 0.3 Fe 0.7)O 3−δ fuel electrode on La 0.8 Sr 0.2 MnO 3−δ -Zr 0.92 Y 0.16 O 2−δ (LSM-YSZ) oxygen electrode supported SOCs with thin YSZ electrolyte using different fuel gases. At 800 °C, the peak power density slightly decreased from 0.9 W/cm2 in wet H 2 to 0.68 W/cm2 in wet CO under fuel cell mode. However, the cell only showed a peak power density of 0.27 W/cm2 at 800 °C in wet CH 4 , reaching 0.75 W/cm2 at 850 °C, when the open-circuit voltage increased from 0.9 V to 1.02 V. STF fuel electrode exhibited much worse CO 2 electrolysis performance than steam electrolysis, especially in high CO 2 concentration due to the increased ohmic resistance and electrode polarization resistance. [ABSTRACT FROM AUTHOR]

A set of conditions for the Strecker reaction of formaldehyde, amines, and TMSCN that affords three‐component coupling adducts as the major products is reported. HCOOH and TBAF are used as cocatalysts and the TMSCN functions as both cyanide source and protecting reagent for amines. As a result, the side reactions were suppressed efficiently and a broad range of aromatic and aliphatic amines were mono‐cyanomethylated in 52–99% yield. Furthermore, this protocol was successfully applied toward the synthesis of meta‐diamide insecticides. [ABSTRACT FROM AUTHOR]

Background: A successful therapeutic rapport between doctors and patients is built on effective doctor-patient communication. Noncompliance of patients which challenges their communication has been described in the research, yet the rapport strategies are not well discussed. Methods: This qualitative study investigates the rapport strategies when doctors face noncompliance in consultations and its pragmatic effects achieved through the doctors' speeches. The 10-hour recordings come from the doctor-patient communication in the hospital setting. Thereafter, we analyze their conversation following the Spencer Oatey's rapport management model. Results: Compliments and joking in the illocutionary domain, storytelling in the discourse domain, the doctors' participation in the participation domain and the choice of appropriate titles in the stylistic domain are identified and analyzed as the rapport-building strategies. Conclusion: The present study has offered insights into physicians' rapport-building strategies in the face of rapport-threatening behavior from patients. These strategies will help the doctors to deal with rapport-challenging behavior and boost overall patient wellness. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the predictive value of coagulation, thromboelastography, stress response, and immune function indicators for the occurrence of deep venous thrombosis (DVT) following radical resection of cervical cancer and ovarian cancer. We conducted a prospective, single-centre, case-control study that included 230 cervical cancer patients and 230 ovarian cancer patients. In the testing cohort, the final predictive model for cervical cancer patients was: Logit(P)=9.365–0.063(R-value)−0.112(K value) +0.386(α angle)+0.415(MA)+0.276(FIB)+0.423(D-D)+0.195(IL-6)+0.092(SOD). For ovarian cancer patients, the final model was: Logit(P)= −2.846–0.036(R-value)-0.157(K value) +0.426(α angle) +0.172(MA) +0.221(FIB)+0.375(CRP) −0.126(CD4+/CD8+). In the validation cohort, these models exhibited good predictive efficiency, with a false-positive rate of 12.5% and a false-negative rate of 2.9% for cervical cancer patients, and a false-positive rate of 14.3% and a false-negative rate of 0% for ovarian cancer patients. In conclusion, the risk prediction models developed in this study effectively improve the predictive accuracy of DVT following radical resection of cervical and ovarian cancer. What is already known on this subject? Nowadays, surgery is currently the primary treatment for gynecological malignant tumours. However, prior to surgery, these tumours often create a hypercoagulable state, which increases the likelihood of deep vein thrombosis (DVT) following the procedure. Reports have shown that the incidence of DVT after surgery for ovarian cancer is the highest among gynecological malignant tumours, ranging from 13.6% to 27%, with lower extremity DVT being the most common. The occurrence of embolic detachment poses the greatest risk of DVT and can lead to fatal pulmonary embolism. Identifying the factors that influence the occurrence of DVT after gynecological malignant tumour surgery is crucial in order to take necessary preventive measures for patients with high-risk factors and reduce the incidence of DVT. This is of great significance in ensuring the quality of surgery and improving the postoperative quality of life for patients. What do the results of this study add? This prospective, single-centre, case-control study was conducted to investigate the predictive value of coagulation, thromboelastography, stress response, and immune function indicators for the occurrence of deep venous thrombosis (DVT) following radical resection of cervical and ovarian cancer. This study included 230 cervical cancer patients and 230 ovarian cancer patients. Based on our findings, current risk prediction models that incorporate coagulation, thromboelastography, stress response, and immune function laboratory indicators have demonstrated the potential to improve the predictive accuracy of postoperative DVT in patients who have undergone radical resection of cervical and ovarian cancer. What are the implications of these findings for clinical practice and/or further research? Our study found that the final two regression models had a prediction accuracy of 87.9% and 87.4% for postoperative DVT in patients with cervical and ovarian cancer, respectively, which is a significant improvement. Furthermore, both models demonstrated high specificity of 100%. In addition, the models continued to perform well in terms of predictive efficiency, with a false positive rate of 12.5% and a false negative rate of 2.9% for cervical cancer patients and a false positive rate of 14.3% and a false negative rate of 0% for ovarian cancer patients. Our models are effective in predicting the occurrence of DVT in patients with cervical and ovarian cancer following resection. [ABSTRACT FROM AUTHOR]

Impervious surfaces (IS) are one of the most important components of the earth's surface, and understanding how IS have expanded is vital. However, few studies on IS or urbanization have focused on the cradle of the Chinese nation—the Yellow River Basin (YRB). In this study, the Random Forest and Temporal Consistency Check methods were employed to generate long-term maps of IS in the YRB based on Landsat imagery. To explore the dynamics and differences in IS, we developed a spatiotemporal analysis and put forward regional comparisons between different research units of the YRB. We documented the remote sensing-based ecological index (RSEI) in multiple circular zones to discuss the ecological effects of the expansion of IS. The IS extraction strategy achieved excellent performance, with an average overall accuracy of 90.93% and kappa coefficient of 0.79. The statistical results demonstrated that the spatial extent of IS areas in the YRB increased to 18,287.36 km2 in 2020 which was seven times more than that in 1986, at rates of 166 km2/a during 1986–2001, 365 km2/a during 2001–2010, and 1044 km2/a during 2011–2020. Our results indicated that the expansion and densification of IS was slow in core urban areas with high initial IS fraction (ISF), significant in the suburban or rural areas with low initial ISF, and obvious but not significant in the exurb rural or depopulated areas with an initial ISF close to 0. The multiyear RSEI indicated that environmental quality of the YRB had improved with fluctuations. The ecological effects of the impervious expansion slightly differed in urban core areas versus outside these areas. When controlling the urban boundary, more attention should be paid to the rational distribution of ecologically important land. These results provide comprehensive information about IS expansion and can provide references for delineating urban growth boundaries. [ABSTRACT FROM AUTHOR]

The xyloglucan endotransglucosylase/hydrolase (XET/XEH, also named XTH) family is a multigene family, the function of which plays a significant role in cell-wall rebuilding and stress tolerance in plants. However, the specific traits of the XTH gene family members and their expression pattern in different tissues and under stress have not been carried out in sweet potato. Thirty-six XTH genes were identified in I. batatas, all of which had conserved structures (Glyco_hydro_16). Based on Neighbor-Joining phylogenetic analysis the IbXTHs can be divided into three subfamilies—the I/II, IIIA, and IIIB subfamilies, which were unevenly distributed on 13 chromosomes, with the exception of Chr9 and Chr15. Multiple cis-acting regions related to growth and development, as well as stress responses, may be found in the IbXTH gene promoters. The segmental duplication occurrences greatly aided the evolution of IbXTHs. The results of a collinearity analysis showed that the XTH genes of sweet potato shared evolutionary history with three additional species, including A. thaliana, G. max, and O. sativa. Additionally, based on the transcriptome sequencing data, the results revealed that the IbXTHs have different expression patterns in leaves, stems, the root body (RB), the distal end (DE), the root stock (RS), the proximal end (PE), the initiative storage root (ISR), and the fibrous root (FR), and many of them are well expressed in the roots. Differentially expressed gene (DEG) analysis of FRs after hormone treatment of the roots indicated that IbXTH28 and IbXTH30 are up-regulated under salicylic acid (SA) treatment but down-regulated under methyl jasmonate (MeJA) treatment. Attentionally, there were only two genes showing down-regulation under the cold and drought treatment. Collectively, all of the findings suggested that genes from the XTH family are crucial for root specificity. This study could provide a theoretical basis for further research on the molecular function of sweet potato XTH genes. [ABSTRACT FROM AUTHOR]

The aberrant expression of secretory mucin MUC5AC has been documented during the tumourigenesis and progression of various cancers. However, little is currently known on the function of MUC5AC in lung adenocarcinoma. The present study focused on the tumour‐promoting role of MUC5AC and its regulatory mechanisms in lung adenocarcinoma. Firstly, MUC5AC expression was evaluated in NSCLC tissue microarrays by immunohistochemistry. Kaplan–Meier analysis were used to clarify the prognostic value of MUC5AC. Subsequently, small interfering RNA and small hairpin RNA were used to knockdown MUC5AC in lung ADC cell lines to elucidate its role in tumorigenesis and progression of lung adenocarcinoma via in vitro functional assays and xenograft mouse models. Finally, the regulatory mechanisms underlying p53/Sp1/MUC5AC axis were identified through dual‐luciferase report. We found that MUC5AC was upregulated in lung ADC tissues and cell lines, especially in KRAS‐mutant cases and correlated with poor prognosis. MUC5AC gene silencing resulted in reduced cell proliferation, invasion and migration. Furthermore, knockdown of MUC5AC led to reversion of the epithelial–mesenchymal transition. Additionally, downregulation of MUC5AC reduced tumourigenesis in mouse models. Finally, we found an antagonistic role between Sp1 and p53 in the regulation of MUC5AC gene expression. Our findings suggest that high MUC5AC expression promotes tumourigenesis and progression of lung ADC. Both p53 gene inactivation and Sp1 overexpression in lung ADC may enhance MUC5AC expression, especially in KRAS‐mutated cases. Given the paucity of efficient drug‐targeted approaches of KRAS‐driven lung ADCs, therapies directed at downstream effectors such as MUC5AC could have huge prospects. [ABSTRACT FROM AUTHOR]

Nattokinase with excellent anti-thrombotic, anti-inflammatory, anti-tumor, and anti-hypertension properties has been used in the development of several healthcare products in many countries. The probiotic Escherichia coli Nissle 1917 (EcN) with anti-inflammatory effect is commonly used to treat inflammatory bowel disease. To determine whether nattokinase could enhance the therapeutic efficacy of EcN in colitis, a recombinant E. coli Nissle 1917 strain (EcNnatto) with nattokinase-expressing ability was successfully constructed, and the protective effect of the engineered strain on mice with experimental chronic colitis was investigated. Although both EcN and EcNnatto strains substantially alleviated the clinical symptoms and pathological abnormalities in colitis mice by regulating gut flora and maintaining intestinal barrier function, the EcNnatto strain was found to perform better than the control strain, based on a further increase in colon length and a downregulation in pro-inflammatory cytokines (IL-6 and TNF-α). Nattokinase expressed in EcN attenuated DSS-induced epithelial damage and restored the mucosal integrity by upregulating the levels of tight junction proteins, including ZO-1 and occludin. The expression level of Lgr5, a marker of intestinal stem cells, was also increased. Moreover, constitutively expressed nattokinase in EcN reversed the gut microbial richness and diversity in colitis mice. Based on our findings, nattokinase could strengthen the capacity of EcN to treat intestinal inflammation. [ABSTRACT FROM AUTHOR]

Background: The pathological phenotype of early‐stage cervical cancer (CC) is similar to that of cervical intraepithelial neoplasia (CIN), which provides a challenge for the diagnosis of cervical precancerous lesions. Meanwhile, the existing diagnostic methods have certain subjectivity and limitations, resulting in the possibility of misdiagnosis or missed diagnosis. Hence, some methods are needed to assist diagnosis of CC and CIN. Methods: Based on the data of CIN and CC in gene expression omnibus (GEO) dataset, the eXtreme Gradient Boosting (XGBoost) algorithm was used to screen the feature genes between CIN and CC for constructing the classifier. Incremental feature selection (IFS) curve was also used for screening. The classifier was validated for reliability using principal component analysis (PCA) dimensionality reduction analysis and heat map analysis of gene expression. Then, differentially expressed genes of CIN and CC were intersected with the classifier genes. Genes in the intersection were used as seeds for protein–protein interaction network construction and restart random walk analysis. And the genes with the top 50 affinity coefficients were selected for gene ontology (GO) and kyoto encyclopedia of genes and genome (KEGG) enrichment analyses to observe the biological functions with differences between CIN and CC. Results: The peripheral blood genes of CIN and CC were analyzed, and seven genes were screened. Using this gene for classifier construction, IFS curve screening revealed that the three‐feature gene classifier constructed according to the random forest model had the best effect. The results of PCA dimensionality reduction analysis and gene expression heat map analysis showed that the three‐gene classifier could effectively distinguish CIN from CC. Conclusion: A three‐gene diagnostic classifier can effectively distinguish CIN patients from CC patients and provide a reference for the clinical diagnosis of early CC. [ABSTRACT FROM AUTHOR]

Quantifying an individual's risk for common diseases is an important goal of precision health. The polygenic risk score (PRS), which aggregates multiple risk alleles of candidate diseases, has emerged as a standard approach for identifying high-risk individuals. Although several studies have been performed to benchmark the PRS calculation tools and assess their potential to guide future clinical applications, some issues remain to be further investigated, such as lacking (i) various simulated data with different genetic effects; (ii) evaluation of machine learning models and (iii) evaluation on multiple ancestries studies. In this study, we systematically validated and compared 13 statistical methods, 5 machine learning models and 2 ensemble models using simulated data with additive and genetic interaction models, 22 common diseases with internal training sets, 4 common diseases with external summary statistics and 3 common diseases for trans -ancestry studies in UK Biobank. The statistical methods were better in simulated data from additive models and machine learning models have edges for data that include genetic interactions. Ensemble models are generally the best choice by integrating various statistical methods. LDpred2 outperformed the other standalone tools, whereas PRS-CS, lassosum and DBSLMM showed comparable performance. We also identified that disease heritability strongly affected the predictive performance of all methods. Both the number and effect sizes of risk SNPs are important; and sample size strongly influences the performance of all methods. For the trans -ancestry studies, we found that the performance of most methods became worse when training and testing sets were from different populations. [ABSTRACT FROM AUTHOR]

Little is known regarding anterior uveitis (AU), the most common ocular disease associated with cytomegalovirus (CMV) infection in immunocompetent populations. CMV AU is highly prevalent in Asia, with a higher incidence in men. Clinically, it manifests mainly as anterior chamber inflammation and elevated intraocular pressure (IOP). Acute CMV AU may resemble Posner–Schlossman syndrome with its recurrent hypertensive iritis, while chronic CMV AU may resemble Fuchs uveitis because of its elevated IOP. Without prompt treatment, it may progress to glaucoma; therefore, early diagnosis is critical to prognosis. Knowledge regarding clinical features and aqueous humor analyses can facilitate accurate diagnoses; so, we compared and summarized these aspects. Early antiviral treatment reduces the risk of a glaucoma surgery requirement, and therapeutic effects vary based on drug delivery. Both oral valganciclovir and topical ganciclovir can produce positive clinical outcomes, and higher concentration and frequency are beneficial in chronic CMV retinitis. An extended antiviral course could prevent relapses, but should be limited to 6 months to prevent drug resistance and side effects. In this review, we have systematically summarized the pathogenesis, clinical features, diagnostic and therapeutic aspects, and immunological mechanisms of CMV AU with the goal of providing a theoretical foundation for early clinical diagnosis and treatment. [ABSTRACT FROM AUTHOR]

[Display omitted] Flexible fiber-shaped supercapacitors (FSSCs) are promising candidates as electrode materials for the development of deformable electronic devices. Although tremendous efforts have been focused on the preparation of flexible electrode materials, traditional FSSCs materials face problems of inferior stability and complicated processes. Boron-doped diamond (BDD) holds promise as a FSSC electrode, owing to its well-established preparation process, strong acid and alkali corrosion resistance, environmentally and skin-friendly characteristics. Here, we reported a novel strategy for the construction of BDD-based FSSCs by growing a BDD film on a flexible tantalum (Ta) fiber substrate through hot filament chemical vapor deposition technique. Results showed that the BDD fiber film featured 10 folds improvement in specific capacitance than a planar BDD electrode. A symmetric supercapacitor device was assembled using the BDD fiber electrode and achieved an energy density of 25.6 mJ cm−2 at a power density of 0.6 mW cm−2, and a desirable stability with higher capacitance retention of 93.5% after 20,000 cycles. Furthermore, the symmetric BDD fiber device exhibited satisfactory bendability with high specific capacitance retention under various bending deformations. The findings in this research work hold promise for the fabrication of high performance flexible FSSCs. [ABSTRACT FROM AUTHOR]

Epithelial–mesenchymal transition (EMT) has been implicated in various aspects of tumor development, including tumor invasion and metastasis, cancer stemness, and therapy resistance. Diverse stroma cell types along with biochemical and biophysical factors in the tumor microenvironment impinge on the EMT program to impact tumor progression. Here we provide an in-depth review of various tumor microenvironmental signals that regulate EMT in cancer. We discuss the molecular mechanisms underlying the role of EMT in therapy resistance and highlight new therapeutic approaches targeting the tumor microenvironment to impact EMT and tumor progression. [ABSTRACT FROM AUTHOR]

An all fiber Mach–Zehnder interferometric (MZI) sensor for measuring temperature and refractive index (RI) is proposed and experimentally demonstrated. The proposed sensor is fabricated with a coreless–few mode–coreless fiber structure. Variations in ambient temperature and RI cause changes in phase differences between the fundamental mode and the higher-order modes, leading to shifts in interference spectrum. The two resonance dips shifts within the wavelength spectrum are used to investigate the temperature and RI characteristics of the sensor. Experimental results show that the two dips have different responses to temperature and RI, indicating that the sensor can realize simultaneous measurement of temperature and RI; the maximum sensing sensitivities are 0.0739 nm/°C and −25.29 nm/RIU, respectively. The proposed sensor has potential applications in physical, biological, and chemical sensing owing to its low cost, good linearity, and simple fabrication. [ABSTRACT FROM AUTHOR]