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The cytoskeleton, a dynamic network of structural proteins within cells, is essential for cellular deformation and responds to external mechanical cues. Here, based on the structure of the cytoskeleton, combined with the biochemical reactions of the activator RhoA and the inhibitor F-actin, we develop a novel mechanochemical cytoskeleton model to investigate the mechanical behavior of cells. Interestingly, we find that active stress fibers exhibit diverse dynamical modes at specific inhibitor concentration thresholds. The existence of concentration differences and sustained mechanochemical feedback in activators and inhibitors trigger a global oscillation of isolated cells. In addition, under uniaxial and biaxial stretches, activators and inhibitors preferentially diffuse toward the more significantly deformed cytoskeletal elements, and their dynamic interactions regulate the cell to align with the main stretching direction. Our findings, consistent with many experimental results, provide fundamental insights into cytoskeletal remodeling and cellular mechanosensing mechanisms. [ABSTRACT FROM AUTHOR]

This cross-sectional survey aims to determine whether cotinine exposure would enhance the relationship between blood manganese (Mn) and non-alcoholic fatty liver disease (NAFLD) in children using the NHANES database. Restricted cubic spline (RCS) and logistic regression analyses were adopted to determine the potential relationship. Besides, we tested the robustness of the results by performing trend tests and subgroup analyses. The study finally enrolled 866 children aged 18 years and below. Blood Mn was linearly linked to NAFLD and the risk of NAFLD was increased with the blood Mn elevation (P < 0.05). There was a notable relationship between blood Mn and NAFLD in crude model 1, which was still significant upon adjustment of all the identified covariates (all P < 0.05). Under Mn exposure, the cotinine-exposed group had a higher risk of NAFLD than the cotinine-unexposed group. In conclusion, blood Mn level is an independent risk factor for pediatric NAFLD, and cotinine exposure can enhance this relationship to some degree. Therefore, reducing cotinine exposure may alleviate detrimental consequences related to exposure to heavy metals in children. [ABSTRACT FROM AUTHOR]

The global climate change has resulted in substantial modifications to the distribution patterns of narrowly distributed species across different time periods, leading to an imminent threat to the survival of some vulnerable species. Chimonobambusa tumidissinoda J. R. Xue & T. P. Yi ex Ohrnb., a bamboo species endemic to the transition zone from the Yunnan‐Guizhou Plateau to the Sichuan Basin with high economic and ecological value, exhibits a limited range and rarity. Utilizing eight environmental variables and 56 occurrence records, we employed the MaxEnt model to predict the potential distribution range of C. tumidissinoda under current and future climate scenarios. The findings revealed that precipitation of the driest month (Bio14), elevation and isothermality (Bio3) were the crucial factors determining the species' distribution, accounting for 31.24%, 28.27% and 17.24% of data variability, respectively. The distribution centroid of C. tumidissinoda is anticipated to shift towards higher latitudes in response to future climate change, and the projected habitat suitability is expected to expand under ssp245 and ssp585 scenarios while remaining unchanged or contracting under the ssp126 scenario. Despite these expansions, the suitable habitats remain limited, with the largest being approximately 2.08 × 104 km2, indicating a significant threat to its survival. Our study provides insights into the adaptive responses of C. tumidissinoda to climate change, enriching scientific knowledge for developing effective conservation measurements as well as sustainable utilization. [ABSTRACT FROM AUTHOR]

Poly(butylene succinate) (PBS)-based nanocomposites, reinforced and toughened with ZnO-coated multi-walled carbon nano-tubes (MWCNT-ZnO), demonstrate significantly enhanced properties, making them ideal for potential applied in food packaging applications. This study explores the effects of varying proportions of MWCNT-ZnO on the overall characteristics of these composites. The addition of 0.1 parts per hundred (phr) MWCNT-ZnO optimizes the nanocomposites' mechanical properties, crystallinity, melting temperature, thermal stability, and barrier performance. Specifically, the composite exhibits a 22% increase in tensile strength, a 28.4% rise in yield strength, and a remarkable 95.7% enhancement in the material's elongation at break, compared to the pure PBS matrix. Moreover, these nanocomposites exhibit excellent antibacterial properties, crucial for food preservation and safety. The soil burial test indicates that, except for the addition of 0.1phr which is lower than pure PBS, the biodegradation rate increases with the increasing addition of MWCNT-ZnO. This further suggests that a low nanoparticle filler content can enhance structural compactness, thereby improving the mechanical stability. The study also reveals notable preservation benefits for vegetables. When used for beef packaging, this composite material successfully extends the meat's freshness period, substantially curtails bacterial proliferation, and ensures the beef remains within safe consumption parameters. The combination of enhanced mechanical, thermal, barrier, and antibacterial properties makes PBS/MWCNT-ZnO nanocomposites promising candidates for sustainable and efficient food packaging materials. [ABSTRACT FROM AUTHOR]

Cancer has been the leading cause of death among Japanese since 1981, and many people die from it every year worldwide. While various measures have been taken to reduce the mortality rate of cancer, circulating tumor cells (CTCs) in the blood have been attracting attention in recent years. In the past, CTCs were detected by visual inspection by a physician or by an expensive machine, but these methods required much effort by the physician and required only EpCAM‐expressing cells to be detected. In addition, detection by image processing has been used, but it has the problem that the area of interest is only a part of the area and there are many false positives. In this paper, we propose a two‐step classification method that focuses on the shape and surface of cells. In the proposed method, multiple shape and surface features are obtained for four types of cells in blood images: Clusters, CTCs, Normal Cells, and Vertical Cells. Based on the features, cells are classified using a two‐step Random Forest and their accuracy is evaluated. Furthermore, the effectiveness of the proposed method is demonstrated by comparing it with conventional methods. [ABSTRACT FROM AUTHOR]

By incorporating polar fibers into the design of electrorheological (ER) fluids, a 130% performance improvement can be achieved with the addition of only 0.8 vol% of polar long fibers. We quantitatively analyzed the impact of relatively long fibers on improving ER performance by measuring the yield stress, shear stress, and current density after adding fibers. Both optical microscopy and transmission electron microscopy were used to observe and analyze the interaction between ER particles and polar fibers. The results indicate that, under the influence of an electric field, the fibers transform the one-dimensional chain-like structure into a two-dimensional mesh structure, greatly improving the ER performance. The transformation of structure induced by the polar fibers in the ER fluids amplifies the ER effect. However, the inclusion of non-polar fibers does not contribute to this enhancement, as a point of comparison. Moreover, to ensure the universality of this method, we used two different types of ER fluids in experiments. The utilization of this method offers a straightforward, environmentally friendly, and highly effective approach. Furthermore, this study provides a novel technical solution aimed at enhancing the performance of ER fluids. [ABSTRACT FROM AUTHOR]

Objectives: As a novel imaging marker, pericoronary fat attenuation index (FAI) reflects the local coronary inflammation which is one of the major mechanisms for in-stent restenosis (ISR). We aimed to validate the ability of pericoronary FAI to predict ISR in patients undergoing percutaneous coronary intervention (PCI). Materials and methods: Patients who underwent coronary CT angiography (CCTA) before PCI within 1 week between January 2017 and December 2019 at our hospital and had follow-up invasive coronary angiography (ICA) or CCTA were enrolled. Pericoronary FAI was measured at the site where stents would be placed. ISR was defined as ≥ 50% diameter stenosis at follow-up ICA or CCTA in the in-stent area. Multivariable analysis using mixed effects logistic regression models was performed to test the association between pericoronary FAI and ISR at lesion level. Results: A total of 126 patients with 180 target lesions were included in the study. During 22.5 months of mean interval time from index PCI to follow-up ICA or CCTA, ISR occurred in 40 (22.2%, 40/180) stents. Pericoronary FAI was associated with a higher risk of ISR (adjusted OR = 1.12, p = 0.028). The optimum cutoff was − 69.6 HU. Integrating the dichotomous pericoronary FAI into current state of the art prediction model for ISR improved the prediction ability of the model significantly (△area under the curve = + 0.064; p = 0.001). Conclusion: Pericoronary FAI around lesions with subsequent stent placement is independently associated with ISR and could improve the ability of current prediction model for ISR. Clinical relevance statement: Pericoronary fat attenuation index can be used to identify the lesions with high risk for in-stent restenosis. These lesions may benefit from extra anti-inflammation treatment to avoid in-stent restenosis. Key Points: • Pericoronary fat attenuation index reflects the local coronary inflammation. • Pericoronary fat attenuation index around lesions with subsequent stents placement can predict in-stent restenosis. • Pericoronary fat attenuation index can be used as a marker for future in-stent restenosis. [ABSTRACT FROM AUTHOR]

In agricultural fields where many viruses are prevalent, plants are commonly coinfected with multiple viruses. Whiteflies, vectors of plant viruses, can acquire two viruses by probing on two infected plants sequentially or on a coinfected plant. Although the coingestion of two viruses by a common vector is supposed to influence vector transmission and virus epidemiology, these effects still require more comprehensive research. In this study, we investigated the impact of coingesting two begomoviruses on virus infection in Bemisia tabaci Middle East-Asia Minor 1 (MEAM1). Whiteflies underwent two successive acquisition access periods through feeding on plants infected with tomato leaf curl Taiwan virus (ToLCTV), tomato yellow leaf curl Thailand virus (TYLCTHV), or both. The amounts of virus in the midgut, hemolymph, primary salivary glands (PSGs), and saliva of the whiteflies were determined through quantitative real-time polymerase chain reaction. Transmission assays were conducted to evaluate the impact of coingesting ToLCTV and TYLCTHV on the whitefly-mediated transmission of both viruses. Our results revealed that the preingestion of TYLCTHV was antagonistic to the infection of ToLCTV in the whitefly midgut. Regardless of the ingestion sequence, the amounts of TYLCTHV in the midgut, hemolymph, PSGs, and saliva of whitefly, as well as its transmission rate, were higher than those of ToLCTV. This study provides valuable insights into the intricate interactions between two tomato begomoviruses (ToLCTV and TYLCTHV) within B. tabaci and improves our understanding of the complex tripartite interplay involving virus-virus-vector relationships and the implications for plant virus transmission. [ABSTRACT FROM AUTHOR]

The development and performance of two mass spectrometry (MS) workflows for the intraoperative diagnosis of isocitrate dehydrogenase (IDH) mutations in glioma is implemented by independent teams at Mayo Clinic, Jacksonville, and Huashan Hospital, Shanghai. The infiltrative nature of gliomas makes rapid diagnosis necessary to guide the extent of surgical resection of central nervous system (CNS) tumors. The combination of tissue biopsy and MS analysis used here satisfies this requirement. The key feature of both described methods is the use of tandem MS to measure the oncometabolite 2-hydroxyglutarate (2HG) relative to endogenous glutamate (Glu) to characterize the presence of mutant tumor. The experiments i) provide IDH mutation status for individual patients and ii) demonstrate a strong correlation of 2HG signals with tumor infiltration. The measured ratio of 2HG to Glu correlates with IDH-mutant (IDH-mut) glioma (P < 0.0001) in the tumor core data of both teams. Despite using different ionization methods and different mass spectrometers, comparable performance in determining IDH mutations from core tumor biopsies was achieved with sensitivities, specificities, and accuracies all at 100%. None of the 31 patients at Mayo Clinic or the 74 patients at Huashan Hospital were misclassified when analyzing tumor core biopsies. Robustness of the methodology was evaluated by postoperative re-examination of samples. Both teams noted the presence of high concentrations of 2HG at surgical margins, supporting future use of intraoperative MS to monitor for clean surgical margins. The power of MS diagnostics is shown in resolving contradictory clinical features, e.g., in distinguishing gliosis from IDH-mut glioma. [ABSTRACT FROM AUTHOR]

Objective This study aimed to use machine learning to evaluate the risk factors of seizures and develop a model and nomogram to predict seizures in children with coronavirus disease 2019 (COVID-19). Material and methods A total of 519 children with COVID-19 were assessed to develop predictive models using machine learning algorithms, including extreme gradient boosting (XGBoost), random forest (RF) and logistic regression (LR). The performance of the models was assessed using area under the receiver operating characteristic curve (AUC) values. Importance matrix plot and SHapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance and to show the visualization results. The nomogram and clinical impact curve were used to validate the final model. Results Two hundred and seventeen children with COVID-19 had seizures. According to the AUC, the RF model performed the best. Based on the SHAP values, the top three most important variables in the RF model were neutrophil percentage, cough and fever duration. The nomogram and clinical impact curve also verified that the RF model possessed significant predictive value. Conclusions Our research indicates that the RF model demonstrates excellent performance in predicting seizures, and our novel nomogram can facilitate clinical decision-making and potentially offer benefit for clinicians to prevent and treat seizures in children with COVID-19. [ABSTRACT FROM AUTHOR]

To enhance the various properties of polyvinyl alcohol (PVA), varying concentrations of carboxy-functionalized graphene (CFG) were employed in the preparation of CFG/PVA nanocomposite films. FTIR and XRD analyses revealed that CFG, in contrast to graphene, not only possesses carboxylic acid group but also exhibits higher crystallinity. Mechanical testing indicated a notable superiority of CFG addition over graphene, with optimal mechanical properties such as tensile and yield strengths being achieved at a 3% CFG concentration. Relative to pure PVA, the tensile strength and yield strength of the composite increased by 2.07 and 2.01 times, respectively. XRD analysis showed distinct changes in the crystalline structure of PVA with the addition of CFG, highlighting the influence of CFG on the composite structure. FTIR and XPS analyses confirmed the formation of ester bonds between CFG and PVA, enhancing the overall performance of the material. TGA results also demonstrated that the presence of CFG enhanced the thermal stability of CFG/PVA nanocomposite films. However, analyses using scanning electron microscopy and transmission electron microscopy revealed that a 3% concentration of CFG was uniformly dispersed, whereas a 6% concentration of CFG caused aggregation of the nanofiller, leading to a decrease in performance. The incorporation of CFG significantly enhanced the water vapor and oxygen barrier properties of PVA, with the best performance observed at a 3% CFG concentration. Beyond this concentration, barrier properties were diminished owing to CFG aggregation. The study further demonstrated an increase in electrical conductivity and hydrophobicity of the nanocomposites with the addition of CFG. Antibacterial tests against E. coli showed that CFG/PVA nanocomposites exhibited excellent antibacterial properties, especially at higher CFG concentrations. These findings indicate that CFG/PVA nanocomposites, with an optimized CFG concentration, have significant potential for applications requiring enhanced mechanical strength, barrier properties, and antibacterial capabilities. [ABSTRACT FROM AUTHOR]

For sessile plants, gene expression plays a pivotal role in responding to salinity stress by activating or suppressing specific genes. However, our knowledge of genetic variations governing gene expression in response to salt stress remains limited in natural germplasm. Through transcriptome analysis of the Global Mini-Core Rice Collection consisting of a panel of 202 accessions, we identified 22   345 and 27   610 expression quantitative trait loci associated with the expression of 7787 and 9361 eGenes under normal and salt-stress conditions, respectively, leveraging the super pan-genome map. Notably, combined with genome-wide association studies, we swiftly pinpointed the potential candidate gene STG5 —a major salt-tolerant locus known as qSTS5. Intriguingly, STG5 is required for maintaining Na+/K+ homeostasis by directly regulating the transcription of multiple members of the OsHKT gene family. Our study sheds light on how genetic variants influence the dynamic changes in gene expression responding to salinity stress and provides a valuable resource for the mining of salt-tolerant genes in the future. [ABSTRACT FROM AUTHOR]

Past studies have shown that spontaneous electroencephalography indicators—namely, the theta/beta power ratio and alpha oscillation—may measure individuals' attentional control processes. However, there is lack of research distinguishing these differences. This study investigated whether the theta/beta power ratio and alpha oscillation were separately related to the objective and subjective criteria of attentional control in eyes-open and eyes-closed conditions. The results showed two main findings: (1) In the eyes-open condition, the theta/beta power ratio at the Fz and Pz electrode sites were significantly negatively correlated with the attentional control scale score; the alpha power at the Pz electrode site was significantly negatively correlated with flanker RT interference effect; (2) In the eyes-closed condition, the alpha power at the Cz and Pz electrode sites were significantly positively correlated with flanker P3d. In summary, this study showed that the eyes-open spontaneous theta/beta power ratio may reflect individuals' beliefs in their attentional control ability, and the alpha oscillation may be related to individuals' attentional control ability. [ABSTRACT FROM AUTHOR]

Many real-world engineering design optimisation problems encounter input uncertainties, which may introduce undesired fluctuations in design performance or even make the design solution infeasible. Robust design optimisation (RDO) is widely studied due to its ability to deal with uncertainties. RDO methods require many evaluations generally, which is prohibitive when relying on expensive simulations. Surrogate-assisted optimisation can help to reduce the number of simulation calls. An improved constrained multi-objective efficient robust global optimisation method (CMO-ERGO) is proposed in this work, which combines the robust expected improvement of ERGO with the probability of feasibility. CMO-ERGO improves the ERGO framework and quantifies the robustness of the objective and the constraint functions using an analytical uncertainty quantification based on the Kriging surrogate. The proposed method is tested on three numerical benchmark functions and applied to the robust design of a metamaterial vibration isolator with a honeycomb structure to explore its performance in solving engineering applications. The robustness of optimal solutions is demonstrated using the Monte Carlo Method. Moreover, comparisons between CMO-ERGO and several existing RDO methods illustrate the effectiveness and efficiency of CMO-ERGO. [ABSTRACT FROM AUTHOR]

Lotus root is a popular traditional Chinese food of great economic and nutritional significance, which has different qualities, characteristics, and commercial value from various regions due to the climate and growing environment. Therefore, it is essential and urgent to establish an accurate and effective method to trace the geographical origins of lotus roots. This study combined mineral element analysis and multivariate statistical analysis to discriminate the origins of 147 lotus root samples from different production regions of China. The concentrations of 15 elements were determined by inductively coupled plasma emission spectrometry and inductively coupled plasma mass spectrometry. In addition, chemometric techniques, including ANOVA, principal component analysis and stepwise linear discriminant analysis were utilized to identify the geographical origin of lotus roots. The results showed that the levels of the 15 elements were significantly different by ANOVA. The study indicates that stepwise linear discriminant analysis yielded an average discrimination rate of 99.3%. [ABSTRACT FROM AUTHOR]

Background: Little is known about the long‐term trends of preterm birth rates in China and their geographic variation by province. Objectives: To estimate the annual spatial–temporal distribution of preterm birth rates in China by province from 1990 to 2020. Data Sources: We searched PubMed, EMBASE, Web of Science, CNKI, WANFANG and VIP from January 1990 to September 2023. Study Selection and Data Extraction: Studies that provided data on preterm births in China after 1990 were included. Data were extracted following the Guidelines for Accurate and Transparent Health Estimates Reporting. Synthesis: We assessed the quality of each survey using a 9‐point checklist. We estimated the annual preterm birth risk by province using Bayesian multilevel logistic regression models considering potential socioeconomic, environmental, and sanitary predictors. Results: Based on 634 survey data from 343 included studies, we found a gradual increase in the preterm birth risk in most provinces in China since 1990, with an average annual increase of 0.7% nationally. However, the preterm birth rates in Inner Mongolia, Hubei, and Fujian Province showed a decline, while those in Sichuan were quite stable since 1990. In 2020, the estimates of preterm birth rates ranged from 2.9% (95% Bayesian credible interval [BCI] 2.1, 3.8) in Inner Mongolia to 8.5% (95% BCI 6.6, 10.9) in Jiangxi, with the national estimate of 5.9% (95% BCI 4.3, 8.1). Specifically, some provinces were identified as high‐risk provinces for either consistently high preterm birth rates (e.g. Jiangxi) or relatively large increases (e.g. Shanxi) since 1990. Conclusions: This study provides annual information on the preterm birth risk in China since 1990 and identifies high‐risk provinces to assist in targeted control and intervention for this health issue. [ABSTRACT FROM AUTHOR]

Inhalation of high concentrations of phosgene often causes pulmonary edema, which obstructs the airway and causes tissue hypoxia. There is currently no specific antidote. This study was performed to investigate the effect behind pentoxifylline (PTX) treatment for phosgene-induced lung injury in rat models. Rats were exposed to phosgene. The protein levels of hypoxia-inducible factor-1α (HIF-1α), vascular endothelial growth factor (VEGF), and occludin proteins in lung tissue were determined. The effect of both prophylactic and therapeutic administration of PTX (50 mg/kg and 100 mg/kg) was evaluated. The lung permeability index and HIF-1α protein level increased, the arterial blood oxygenation index (PaO2/FIO2 ratio) and occludin protein level decreased significantly 6 h after phosgene exposure (P < 0.05). PTX exerted protective effects by HIF-1α-VEGF-occludin signaling pathway to some extent. Moreover, prophylactic, but not therapeutic administration of PTX (100 mg/kg), exhibited a significant protective effect. Pretreatment with PTX protected against phosgene-induced lung injury, possibly by inhibiting differential expression of HIF-1α, VEGF, and occludin. [ABSTRACT FROM AUTHOR]

Simple Summary: Tomato yellow leaf curl disease is a serious problem for tomato farmers worldwide. This disease is caused by a group of viruses, namely, tomato yellow leaf curl viruses. These viruses are mainly transmitted by the sweet potato whitefly. After the virus is ingested by the whitefly through the process of feeding on diseased plants, the virus circulates in the body of the whitefly and infects its tissues. This virus–insect relationship can influence virus transmission. The life history and feeding preference of whiteflies may be affected by viral infection in a negative, neutral, or positive manner, depending on the species of virus and whitefly involved. The tomato yellow leaf curl Thailand virus (TYLCTHV) and the tomato leaf curl Taiwan virus (ToLCTV) are common in tomato fields in Taiwan. This study examined the direct and indirect effects of TYLCTHV and ToLCTV on the life history traits (longevity, fecundity, nymph survival, and nymph developmental time) and feeding preference of whiteflies. The results revealed that TYLCTHV did not affect the life history and feeding preference of the whiteflies. However, ToLCTV infection caused low fecundity and slow development when the whiteflies fed on diseased plants. ToLCTV infection also altered the feeding preference of the whiteflies. These findings could help explain why ToLCTV is less common than TYLCTHV in tomato fields in Taiwan. Tomato yellow leaf curl disease, caused by a group of closely related tomato yellow leaf curl viruses, is a major threat to tomato cultivation worldwide. These viruses are primarily transmitted by the sweet potato whitefly (Bemisia tabaci) in a persistent-circulative manner, wherein the virus circulates in the body of B. tabaci and infects its tissues. The complex relationship between viruses and whiteflies significantly influences virus transmission, with studies showing varying effects of the former on the life history and feeding preference of the latter. Whether these effects are direct or indirect, and whether they are negative, neutral, or positive, appears to depend on the specific interactions between virus and whitefly species. The tomato yellow leaf curl Thailand virus (TYLCTHV) and the tomato leaf curl Taiwan virus (ToLCTV) are two prevalent begomoviruses in fields in Taiwan. This study examined the direct and indirect effects of TYLCTHV and ToLCTV on the life history traits (longevity, fecundity, nymph survival, and nymph developmental time) and feeding preference of B. tabaci Middle East–Asia Minor 1 (MEAM1). The results revealed that TYLCTHV had no effects on these life history traits or the feeding preference of MEAM1 whiteflies. Although ToLCTV did not directly affect the longevity and fecundity of MEAM1 whiteflies, their fecundity and the nymph developmental time were negatively affected by feeding on ToLCTV-infected plants. In addition, ToLCTV infection also altered the feeding preference of MEAM1 whiteflies. The different effects of virus infection may contribute to the lower prevalence of ToLCTV compared to TYLCTHV in fields in Taiwan. [ABSTRACT FROM AUTHOR]

The modelling and analysis of appliance energy use (AEU) of residential buildings are important for energy consumption control, energy management and maintenance, building performance evaluation, and so on. Although some traditional machine learning methods have been applied to produce good prediction results, these models are usually not interpretable, in that they fail to explain how appliance factors make contributions to the variation of AEU individually and interactively. Explicitly knowing the role played by each of the appliance factors in explaining AEU, however, is very important for energy saving. Motivated by this observation, this study introduces an interpretable machine learning approach which is built upon the nonlinear autoregressive moving average with eXogenous inputs model. The advantage of the proposed model is that in comparison with other state-of-the-art machine learning methods, for example, feedforward neural network, recurrent neural network (e.g., gated recurrent unit), and long short-term memory network, the established model is not only able to produce more accurate energy use prediction, but more importantly, also fully transparent and physically interpretable, clearly and explicitly indicating which factors significantly affect the variation of AEU. The findings of this study provide meaningful insights for improving the AEU efficiency. [ABSTRACT FROM AUTHOR]

LINKED CONTENT: This article is linked to Danpanichkul et al papers. To view these articles, visit https://doi.org/10.1111/apt.18101 and https://doi.org/10.1111/apt.18250 [ABSTRACT FROM AUTHOR]

LINKED CONTENT: This article is linked to Sperber et al papers. To view these articles, visit https://doi.org/10.1111/apt.18103 and https://doi.org/10.1111/apt.18252 [ABSTRACT FROM AUTHOR]

The electronic conductivity (EC) of metal–organic frameworks (MOFs) is sensitive to strongly oxidizing guest molecules. Water is a relatively mild species, however, the effect of H2O on the EC of MOFs is rarely reported. We explored the effect of H2O on the EC in the MOFs (NH2)2‐MIL‐125 and its derivatives with experimental and theoretical investigations. Unexpectedly, a large EC increase of 107 on H2SO4@(NH2)2‐MIL‐125 by H2O was observed. Brønsted acid–base pairs formed with the −NH2 groups, and H2SO4 played an important role in promoting the charge transfer from H2O to the MOF. Based on H2SO4@(NH2)2‐MIL‐125, a high‐performance chemiresistive humidity sensor was developed with the highest sensitivity, broadest detection range, and lowest limit of detection amongst all reported sensing materials to date. This work not only demonstrated that H2O can remarkably influence the EC of MOFs, but it also revealed that post‐modification of the structure of MOFs could enhance the influence of the guest molecule on their EC to design high‐performance sensing materials. [ABSTRACT FROM AUTHOR]

The electronic conductivity (EC) of metal–organic frameworks (MOFs) is sensitive to strongly oxidizing guest molecules. Water is a relatively mild species, however, the effect of H2O on the EC of MOFs is rarely reported. We explored the effect of H2O on the EC in the MOFs (NH2)2‐MIL‐125 and its derivatives with experimental and theoretical investigations. Unexpectedly, a large EC increase of 107 on H2SO4@(NH2)2‐MIL‐125 by H2O was observed. Brønsted acid–base pairs formed with the −NH2 groups, and H2SO4 played an important role in promoting the charge transfer from H2O to the MOF. Based on H2SO4@(NH2)2‐MIL‐125, a high‐performance chemiresistive humidity sensor was developed with the highest sensitivity, broadest detection range, and lowest limit of detection amongst all reported sensing materials to date. This work not only demonstrated that H2O can remarkably influence the EC of MOFs, but it also revealed that post‐modification of the structure of MOFs could enhance the influence of the guest molecule on their EC to design high‐performance sensing materials. [ABSTRACT FROM AUTHOR]

Endometrial cancer (EC) is one of the three main gynecological cancers. Identifying new therapeutic targets and further elucidating the molecular mechanisms of EC tumorigenesis have important implications for women's health. The Go-Ichi-Ni-San (GINS) family, which includes four subunits (GINS1-4), has specific functions in DNA replication and cell cycle. The Cancer Genome Atlas (TCGA) data showed that GINS2 transcription level is upregulated in endometrial cancer tissue. However, the possible role of GINS2 in EC progression is still unknown. Herein, we explored the role of GINS2 in EC. We noticed that GINS2 was overexpressed in EC cells. GINS2 knockdown suppressed the proliferation of EC cells and induced cell cycle arrest. We further noticed that GINS2 knockdown restrained the Epithelial mesenchymal transformation (EMT) of EC cells. Mechanically, its downregulation suppressed the extracellular regulated protein kinase (ERK)/Microtubule-Associated Protein Kinase (MAPK) pathway, thereby suppressing EC progression. Thus, GINS2 has the potential to act as a therapeutic target for EC. [ABSTRACT FROM AUTHOR]

Two-dimensional semiconductors are considered as promising channel materials for next-generation nanoelectronics devices, while their practical applications are typically limited by their low mobilities. In this work, using first-principles calculations combined with the Boltzmann transport formalism involving electron–phonon coupling, we study the transport properties of monolayer group-IV monochalcogenides (MX, M = Ge, Sn; X = S, Se, and Te). We find that the GeTe and SnTe possess exceptionally high hole mobilities, which even reach 835 and 1383 cm2/V s, respectively, at room temperature. More interestingly, the hole mobilities increase with the increase in the atomic number of "X" in MXs when "M" remains the same. Such a trend is mainly due to the increased group velocity and decreased density of states, and the latter plays a significant role in determining the carrier scattering space and relaxation time. Meanwhile, different from the acoustic deformation potential theory, we find that the high-energy optical phonons contribute a lot to the scattering. Our work shows that the monolayer GeTe and SnTe are promising p-type semiconductors in nanoelectronics and reveals the intrinsic connection between phonons, charge density of states, and mobility, which would shed light on exploring the two-dimensional materials with high mobility. [ABSTRACT FROM AUTHOR]

The cross talk between immune and non-immune cells in the tumor microenvironment leads to immunosuppression, which promotes tumor growth and survival. Immunotherapy is an advanced treatment that boosts humoral and cellular immunity rather than using chemotherapy or radiation-based strategy associated with non-specific targets and toxic effects on normal cells. Immune checkpoint inhibitors and T cell-based immunotherapy have already exhibited significant effects against solid tumors and leukemia. Tumor cells that escape immune surveillance create a major obstacle to acquiring an effective immune response in cancer patients. Tremendous progress had been made in recent years on a wide range of innate and adaptive immune checkpoints which play a significant role to prevent tumorigenesis, and might therefore be potential targets to suppress tumor cells growth. This review aimed to summarize the underlying molecular mechanisms of existing immunotherapy approaches including T cell and NK-derived immune checkpoint therapy, as well as other intrinsic and phagocytosis checkpoints. Together, these insights will pave the way for new innate and adaptive immunomodulatory targets for the development of highly effective new therapy in the future. [ABSTRACT FROM AUTHOR]

In order to improve the laws and regulations of the financial system, in the construction of laws and regulations, the traditional financial risk Early Warning (EW) model is optimized. The financial prevention and control measures with legal protection are implemented to warn the financial risks, which plays an important role in the construction of the rule of law in the Financial Market (FM) and the establishment of financial risk prevention and control laws and regulations. This paper combines the deep learning model and the Markov regime Switching Vector Auto Regression (MS-VAR) model and constructs a regional financial risk EW model from the following aspects: macroeconomic operation EW indicators, regional economic risk EW indicators, regional financial institution risk EW indicators. The model is empirically researched and analyzed. The results show that the fluctuation trend of the macroeconomic pressure index in the time series is relatively large, and the overall fluctuation of the regional economic pressure index is small, and fluctuates around 0 in most periods. After the financial crisis, local governments stepped up their supervision of non-performing corporate and household loans. From 2011 to 2018, the non-performing loan ratio began to decline, and the overall fluctuation of the regional financial comprehensive stress index was small, fluctuating around 0. Due to the lack of legal regulation, from the perspective of the regional economy, the risk level is more likely to change from low risk to moderate risk, while the risk status is less likely to change from high risk to moderate risk. From the perspective of regional financial institutions, the probabilities of maintaining low risk and moderate risk are 0.98 and 0.97, respectively, which is stronger than maintaining the stability of high risk. From the perspective of the state transition of the regional financial risk composite index, the probability of maintaining low risk and high risk is 0.97 and 0.93, which is higher than maintaining the stability of medium risk. The Deep Learning (DL) regional financial risk EW MS-VAR model has strong risk prediction ability. The model can better analyze the conversion probability of regional financial risk EW index and has better risk EW ability. This paper enhances the role of legal systems in financial risk prevention and control. The regional financial risk EW model incorporating financial legal indicators can better describe the regional financial risk level, and the EW results are basically consistent with the actual situation. In order to effectively prevent financial risks and ensure the safety of the financial system, it is recommended that the government improve local debt management, improve financial regulations and systems, and improve the legislative level of financial legal supervision. [ABSTRACT FROM AUTHOR]

In this work, we present a comprehensive theoretical and computational investigation of exciton fine structures of WSe 2 -monolayers, one of the best-known two-dimensional (2D) transition-metal dichalcogenides (TMDs), in various dielectric-layered environments by solving the first-principles-based Bethe–Salpeter equation. While the physical and electronic properties of atomically thin nanomaterials are normally sensitive to the variation of the surrounding environment, our studies reveal that the influence of the dielectric environment on the exciton fine structures of TMD-MLs is surprisingly limited. We point out that the non-locality of Coulomb screening plays a key role in suppressing the dielectric environment factor and drastically shrinking the fine structure splittings between bright exciton (BX) states and various dark-exciton (DX) states of TMD-MLs. The intriguing non-locality of screening in 2D materials can be manifested by the measurable non-linear correlation between the BX-DX splittings and exciton-binding energies by varying the surrounding dielectric environments. The revealed environment-insensitive exciton fine structures of TMD-ML suggest the robustness of prospective dark-exciton-based optoelectronics against the inevitable variation of the inhomogeneous dielectric environment. [ABSTRACT FROM AUTHOR]

The flourishing development of flexible healthcare sensing systems is inseparable from the fundamental materials with application-oriented mechanical and electrical properties. Thanks to continuous inspiration from our Mother Nature, flexible hydrogels originating from natural biomass are attracting growing attention for their structural and functional designs owing to their unique chemical, physical and biological properties. These highly efficient architectural and functional designs enable them to be the most promising candidates for flexible electronic sensing devices. This comprehensive review focuses on the recent advances in naturally sourced hydrogels for constructing multi-functional flexible sensors and healthcare applications thereof. We first briefly introduce representative natural polymers, including polysaccharides, proteins, and polypeptides, and summarize their unique physicochemical properties. The design principles and fabrication strategies for hydrogel sensors based on these representative natural polymers are outlined after the fundamental material properties required in healthcare sensing applications are presented. We then highlight the various fabrication techniques of natural hydrogels for sensing devices, and illustrate the representative examples of wearable or implantable bioelectronics for pressure, strain, temperature, or biomarker sensing in the field of healthcare systems. Finally, concluding remarks on challenges and prospects in the development of natural hydrogel-based flexible sensors are provided. We hope that this review will provide valuable information for the development of next-generation bioelectronics and build a bridge between the natural hydrogels as fundamental matter and multi-functional healthcare sensing as an applied target to accelerate new material design in the near future. [ABSTRACT FROM AUTHOR]

Background: The IQ-SPECT system is equipped with multifocal collimators and uses ordered-subset conjugate gradient minimization (OSCGM) as its reconstruction algorithm, achieving a shorter acquisition time than conventional SPECT. Left ventricular ejection fraction (LVEF) is overestimated by conventional SPECT in patients with small heart size. In this study, we compared IQ-SPECT with conventional SPECT and cardiovascular magnetic resonance (CMR) for the estimation of LVEF in patients with small hearts (males: EDV ≤ 60 ml, ESV ≤ 25 ml; females: EDV ≤ 45 ml, ESV ≤ 20 ml). Methods: The study consisted of 49 consecutive patients (20 normal and 29 with small heart size) undergoing gated myocardial perfusion imaging (GMPI) with a 99mTc-labelled agent during stress or rest to assess the risk of coronary artery disease (CAD). The data were reconstructed using filtered back-projection (FBP) for conventional SPECT and OSCGM for IQ-SPECT. ESV, EDV, and LVEF were calculated using quantitative gated SPECT (QGS). To determine the optimal ordered-subset reconstruction parameters, we compared the LVEF from SPECT to the corresponding measurement from CMR. Results: EDV, ESV, and LVEF values obtained from IQ-SPECT and conventional SPECT showed that the results of these two forms of SPECT were significantly correlated, although the EDV and ESV obtained by IQ-SPECT were higher than those obtained by conventional SPECT. IQ-SPECT yielded lower LVEF measurements than conventional SPECT (normal heart size: 50.6 ± 4.3% vs. 73.4 ± 8.4%, P = 0.002; small heart size: 62.1 ± 7.8% vs. 75.0 ± 11.4%, P < 0.001). There were no significant differences in LVEF measurements made by IQ-SPECT and CMR (normal heart size: 50.6 ± 4.3% vs. 53.2 ± 5.8%, P > 0.05; small heart size: 62.1 ± 7.8% vs. 64.6 ± 8.8%, P > 0.05). Five subsets (S) and 12 iterations (I) did not differ significantly in LVEF between CMR and IQ-SPECT for patients with small hearts (64.6 ± 8.8% vs. 62.1 ± 7.8%, P = 0.120), while 3 S and 10 I were the best parameters for patients with normal heart size (50.6 ± 4.3% vs. 53.1 ± 5.8%, P = 0.117). Conclusion: With CMR as the standard, IQ-SPECT yields more reliable LVEF values than conventional SPECT for populations with small heart size. The best reconstruction parameters from IQ-SPECT were 5 S and 12 I for patients with small hearts. [ABSTRACT FROM AUTHOR]

Prebiotics instead of antibiotics can improve the growth performance of poultry, promote the development of animal husbandry and ensure food safety. Currently, prebiotics have been shown to positively regulate the intestinal microbiota of poultry. Prebiotics inhibit intestinal pathogens in animals, their fermentation and metabolism are enhanced, can stimulate the activity of beneficial bacteria, thus affecting the synthesis of short-chain fatty acids. The paper reviews the concept, effect, mechanism and application of prebiotics in poultry production, providing reference for the development of prebiotics feed additives in poultry production. [ABSTRACT FROM AUTHOR]

In this research, the storage performance of sodium silicate-bonded sand core was significantly improved by adding compound additives, including micro-silica powder, PVB ethanol solution and cement. The orthogonal test determined that the optimal addition percentage for sodium silicate binder, micro-silica powder, PVB ethanol solution and cement was 100:35:35:17.5. The storage tensile strength for prepared sand cores was 0.98 MPa under condition of 25 °C and 70% RH for 4 h. According to SEM observation, the bonded bridges inside sand cores with additives were still well connected under humid environment. As suggested by the FT-IR analysis, a complex and dense Si–O–Si network containing more Q3 and Q4 type silicon atoms was formed inside bonding bridges enhancing the connection between sand particles, and the hydrolysis of Si-O-Si network was relieved. Therefore, the storage tensile strength of sand cores was enhanced by adding compound additives. [ABSTRACT FROM AUTHOR]

The article conducts a study on the iron tailings sand concrete's fracture behaviour based on the double-K criterion. Five sets of three-point bending beam specimens(100×150×700 mm) of concrete with 0%, 25%, 50%, 75% and 100% (mass ratio) iron tailings sand replacement river sand respectively were fracture tested, and the P-CMOD and P- ε curves of each set of specimens were measured to determine the initial cracking load Pini), unstable cracking load, initial cracking toughness (KICini and unstable cracking toughness(KICini. After the fracture test, samples were extracted from the specimens and subjected to scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP) for microscopic analysis. Macroscopic test results: by comparing the variation pattern of P-CMOD curve and observing the fracture percentage of coarse aggregate in the section, it is found that the fracture processes and damage patterns of iron tailings sand concrete and river sand concrete are comparable; by comparing Pini, it is founded that the addition of iron tailings sand improves initial cracking load and initial cracking toughness more significantly than unstable cracking load and unstable cracking toughness; by comparing, and, it is founded that the ductility of iron tailings sand concrete is marginally inferior. Microscopic test results: the SEM images show that the interface transition zone (ITZ) of iron tailings sand concrete is denser and the bonding state is better, and the MIP show that the addition of iron tailings sand can refine the pore size, reduce large pores and increase small pores. Therefore, from the assessment of fracture mechanics, iron tailings sand can totally replace river sand in equivalent quantities for concrete preparation, which will provide great potential for the secondary use of iron tailings sand. [ABSTRACT FROM AUTHOR]

BACKGROUND: To promote the shared decision-making (SDM) between patients and doctors in pediatric outpatient departments, this study was designed to validate artificial intelligence (AI) -initiated medical tests for children with fever. METHODS: We designed an AI model, named Xiaoyi, to suggest necessary tests for a febrile child before visiting a pediatric outpatient clinic. We calculated the sensitivity, specificity, and F1 score to evaluate the efficacy of Xiaoyi's recommendations. The patients were divided into the rejection and acceptance groups. Then we analyzed the rejected examination items in order to obtain the corresponding reasons. RESULTS: We recruited a total of 11,867 children with fever who had used Xiaoyi in outpatient clinics. The recommended examinations given by Xiaoyi for 10,636 (89.6%) patients were qualified. The average F1 score reached 0.94. A total of 58.4% of the patients accepted Xiaoyi's suggestions (acceptance group), and 41.6% refused (rejection group). Imaging examinations were rejected by most patients (46.7%). The tests being time-consuming were rejected by 2,133 patients (43.2%), including rejecting pathogen studies in 1,347 patients (68.5%) and image studies in 732 patients (31.8%). The difficulty of sampling was the main reason for rejecting routine tests (41.9%). CONCLUSION: Our model has high accuracy and acceptability in recommending medical tests to febrile pediatric patients, and is worth promoting in facilitating SDM. [ABSTRACT FROM AUTHOR]

Superoxide anion (O2•−) is an important reactive oxygen species (ROS), and plays critical roles in biological systems. ER stress has close relation with many metabolic diseases, and could lead to the abnormal production of ROS including O2•−. Herein, we present an ER-targeting probe (ER-Tf) for the detection of O2•− in living cells. The probe ER-Tf used triflate as the response site for O2•−, and employed p-methylbenzenesulfonamide as ER-targeting moiety. In response to O2•−, the triflate of the probe ER-Tf converted to hydroxyl group, providing strong blue emission under the excitation of ultraviolet light. The probe ER-Tf exhibited high sensitivity and selectivity to O2•−. Bioimaging experiments showed that the probe ER-Tf can be applied to detect O2•− at ER, and also demonstrated that rotenone could increase the generation of O2•− in living cells, while the O2•− level at ER showed no remarkable change during ferroptosis. [ABSTRACT FROM AUTHOR]

A type of heat-curing phosphate binder was proposed, and orthogonal experiments based on the tensile strength of sand samples determined that the optimal composition of the binder was phosphoric acid: water: aluminum hydroxide: magnesium oxide: boric acid = 300: 70: 60: 9: 8. Adding 10% polyvinyl alcohol (PVA) solution during the sand mixture process can significantly improve the 24 h tensile strength of sand samples. When adding 30 g phosphate binder and 8 g 10% PVA solution, the initial tensile strength of the sample is 0.76 MPa, the room temperature tensile strength is 2.29 MPa, and the 24 h tensile strength is 1.73 MPa. The heat-curing modified phosphate sand mold has high tensile strength and low gas generation, which can meet general casting production requirements. [ABSTRACT FROM AUTHOR]

Comprehensive Summary: Electrochemical sensing faces huge challenges in characterizing the transient release of biochemical molecules from deformed cells, due to the severely mechanical mismatch between rigid electrodes and soft cells. In recent years, the emergence of stretchable electrochemical sensors has made a breakthrough by complying with the deformation of living cells and simultaneous monitoring of mechanically evoked biochemical signals. This review first summarizes two fundamental strategies for the fabrication of stretchable electrodes from the points of structure and material. Next, recent progresses in construction of functionalized interface to improve the performance of stretchable electrochemical sensors are presented. Then, the application of stretchable electrochemical sensors in real‐time monitoring of biomolecules released by mechanically sensitive cells is introduced. Finally, some perspectives and challenges of stretchable electrochemical sensors regarding cell detection are discussed. What is the favorite and original chemistry developed in your research group? The design and construction of electrochemical sensing platform for real‐time monitoring of life activities. What is the most important personality for scientific research? Innovative spirit, strong curiosity and persistence. How do you supervise your students? Encourage students to think much and eager to innovate. What are your hobbies? I like music and playing badminton. Who influences you mostly in your life? My family and collaborators. Could you please give us some advices on improving Chinese Journal of Chemistry? Focusing on the originality of the manuscript. [ABSTRACT FROM AUTHOR]

Agent navigation has been a crucial task in today's service and automated factories. Many efforts are to set specific rules for agents in a certain scenario to regulate the agent's behaviors. However, not all situations could be in advance considered, which might lead to terrible performance in a real-world application. In this paper, we propose CrowdGAIL, a method to learn from expert behaviors as an instructing policy, can train most 'human-like' agents in navigation problems without manually setting any reward function or beforehand regulations. First, the proposed model structure is based on generative adversarial imitation learning (GAIL), which imitates how humans take actions and move toward the target to a maximum extent, and by comparison, we prove the advantage of proximal policy optimization (PPO) to trust region policy optimization, thus, GAIL-PPO is what we base. Second, we design a special Sequential DemoBuffer compatible with the inner long short-term memory structure to apply spatiotemporal instruction on the agent's next step. Third, the paper demonstrates the potential of the model with an integrated social manner in a multi-agent scenario by considering human collision avoidance as well as social comfort distance. At last, experiments on the generated dataset from CrowdNav verify how close our model would act like a human being in the trajectory aspect and also how it could guide the multi-agents by avoiding any collision. Under the same evaluation metrics, CrowdGAIL shows better results compared with classic Social-GAN. [ABSTRACT FROM AUTHOR]

Background: Type III pelvic bone tumor resections are often accompanied by postoperative complications. In order to reduce complications, we developed a novel pedicled sartorius flap and mesh (PSM) technique to reconstruct the pelvic ring defect. In this study, we evaluated the efficacy and risks of this PSM technique in type III pelvic bone tumor resections by comparing outcomes between patients that underwent PSM reconstruction and patients that did not receive any reconstruction. Methods: We retrospectively reviewed a consecutive set of patients that underwent type III pelvic bone tumor surgeries in our center from January 2020 to January 2021 with either PSM reconstruction (designated as the PSM group) or without any reconstruction (designated as the control group). General information such as age, gender, tumor type, tumor size, and surgical-related information such as duration of surgery, blood loss, and the surgical margins was collected. Outcome data recorded included wound complications such as infection and dehiscence, local recurrence, and Musculoskeletal Tumor Society (MSTS) scores for postoperative functional evaluation. Statistical analysis between both groups was performed with GraphPad Prism v7. Results: A total of 20 patients were included in this study (PSM group n = 12, control group n = 8). While no herniation was found in the PSM group, it occurred in 6 of 8 cases in the control group. The control group showed a significantly higher rate of bacterial infection (p = 0.03) and wound dehiscence (p = 0.02) but lower MSTS scores (p < 0.05) compared to the PSM group. Conclusions: The use of the PSM technique can significantly reduce postoperative complication rates and enhance postoperative function following type III pelvic bone tumor resection. [ABSTRACT FROM AUTHOR]

Coagulation/flocculation is one of the most widely used and cost-effective pretreatment methods for improving the dewaterability of sludge. In this study, a cationic modified starch-based flocculant (St-CTA) in conjunction with a popular clay, attapulgite (ATP), was used for the conditioning of waste-activated sludge. The dewatering properties, including the filter cake moisture content, filtration specific resistance, capillary suction time, filtration rate and compressibility coefficient, were measured and compared by varying the doses of St-CTA and ATP. By combination of the apparent dewatering performance and the changes in the contents and distributions of the extracellular polymeric substance (EPS) fractions and components, sludge flocs, and microstructures of sludge cakes, the dewatering mechanisms were discussed in detail. St-CTA in conjunction with ATP can exhibit an enhanced dewaterability of sludge and the water content in final sludge cake can be stably reduced below 80% owing to the synergistic effects of St-CTA and ATP. In addition to the efficient charge neutralization of St-CTA, ATP not only acts as a skeleton builder in the sludge dewatering process which makes the sludge flocs more compact and improves the filterability and permeability, but also tightly interacts with the proteins in EPS of the sludge which reduces the protein content and further enhances the dewatering effect. This study provides an economical, green, and effective way to further improve the dewaterability of sludge. [ABSTRACT FROM AUTHOR]

Background: Intrinsic capacity (IC) is a novel concept focusing on normal and healthy aging. The effect of IC on the risk of chronic kidney disease (CKD) according to KDIGO category in older type 2 diabetes mellitus (T2DM) patients has rarely been studied. We investigated whether a decline in IC is associated with the risk of CKD according to KDIGO 2012 categories. Methods: This is a cross-sectional study. The exposure variables (IC score and body mass index) and outcome variable (KDIGO categories of the risk of CKD) were collected at the same timepoint. A total of 2482 older subjects with T2DM managed through a disease care program were enrolled. The five domains of IC, namely locomotion, cognition, vitality, sensory, and psychological capacity were assessed. Based on these domains, the IC composite score was calculated. CKD risk was classified according to the KDIGO 2012 CKD definition. Univariate and multivariate analyses were used to assess the association between IC score and KDIGO categories of risk of CKD. Results: The KDIGO CKD risk category increased in parallel with IC score (p for trend < 0.0001). In multivariate analysis, compared to those with an IC score 0, the odds ratio of having a KDIGO moderately increased to very high risk category of CKD was 1.76 (1.31–2.37) times higher for those with an IC score of 2–5. Furthermore, an increased IC score was associated with a higher prevalence of moderate and severe obesity. Moreover, there was a synergistic interaction between IC score and obesity on the KDIGO moderately increased to very high risk category of CKD (synergy index = 1.683; 95% CI 0.630–3.628), and the proportion of the KDIGO moderately increased to very high risk category of CKD caused by this interaction was 25.6% (attributable proportion of interaction = 0.256). Conclusions: Our findings indicate that IC score may be closely related to the KDIGO moderately increased to very high risk category of CKD. In addition, there may be a synergistic interaction between IC score and obesity, and this synergistic interaction may increase the KDIGO CKD risk stage. [ABSTRACT FROM AUTHOR]

Browning of white adipose tissue (WAT) is suggested as a promising therapeutic approach to induce energy expenditure and counteract obesity and its associated complications. Systemic depletion of spinophilin (SPL) increases metabolism and improves energy balance in mice. In this study, we explored the mechanistic insight of SPL action in WAT browning. Gene expression and mitochondria tracker staining showed that visceral white adipose tissue (vWAT) harvested from SPL KO mice had a higher expression of classic browning-related genes, including uncoupling protein 1 (UCP1), Cell death inducing DFFA like effector A (CIDEA) and PR domain containing 16 (PRDM16), as well as a higher mtDNA level compared to vWAT from wild type (WT) control mice. When adipogenesis was induced in pre-adipocytes harvested from KO and WT mice ex vivo using the PPAR-γ agonist rosiglitazone (Rosi), SPL KO cells showed increased browning marker gene expression and mitochondria function compared to cells from WT mice. Increased PPAR-γ protein expression and nucleus retention in vWAT from SPL KO mice after Rosi treatment were also observed. The effect of SPL on vWAT browning was further confirmed in vivo when WT and KO mice were treated with Rosi. As a result, SPL KO mice lost body weight, which was associated with increased expression of browning maker genes in vWAT. In summary, our data demonstrate the critical role of SPL in the regulation of WAT browning. [ABSTRACT FROM AUTHOR]

Introduction: Acute kidney injury (AKI) is a clinical emergency caused by the rapid decline of renal function caused by various etiologies. Growth differentiation factor 11 (GDF11) can promote renal tubular regeneration and improve kidney function in AKI, but the specific mechanism remains unclear. Herein, we investigated the effect and mechanisms of GDF11 in ameliorating AKI induced by ischemia-reperfusion (I/R). Methods: An animal model of AKI was established by I/R method, and the changes of serum urea nitrogen and creatinine were measured to evaluate the AKI. Enzyme-linked immunosorbent assay (ELISA) was used to measure cytokines, malondialdehyde, superoxide dismutase, nitric oxide synthase, and arginase 1 levels. Flow cytometry was used to count the M1/M2 macrophages. IHC, WB, and q-PCR experiments were used to evaluate the expression of GDF11. Results: The changes in serum levels of urea nitrogen and creatinine after I/R suggest that an animal model of AKI induced by I/R was successfully established. AKI caused by I/R significantly changed the M1/M2 macrophage polarization balance, with an increase in M2 being significantly higher than M1 as well as increased oxidative stress. Treatment with GDF11 after I/R significantly increased the differentiation of M2 cells and inhibited the differentiation of M1 macrophages, as well as decreased oxidative stress. Conclusion: GDF11 can promote the repair of AKI caused by I/R by regulating the balance of M1/M2 polarization in macrophages and oxidative stress. [ABSTRACT FROM AUTHOR]

In this research, it was explored how the strength of sand core would be affected by the silicate binder with varying modulus and different cation types (Na and K) and micro-silica powder. To be specific, the microscopic morphology of the bonding bridge was examined by scanning electron microscope (SEM), while the changes in internal structure were revealed through Fourier transform infrared spectrum (FT-IR) analysis. It was discovered that with the modulus reduced from 2.3 to 1.3, there was a progressive increase from 20% to 50% in the amount of micro-silica powder as required for the sand cores to reach the maximum bonded strengths. Under the same conditions, the strength of sand cores bonded by potassium silicate was improved compared to sodium silicate. According to FT-IR analysis, the decline in modulus improved not only the concentration of OH– but also the density of active groups inside silicate solution, which is conducive to the formation of Si–O–Si bonds through reaction with micro-silica powder. Meanwhile, the results of the EDS and FT-IR analysis suggest a higher concentration of Si–O–Si bonds in the mixture of potassium silicate and micro-silica powder. Consequently, the sand core bonded by potassium silicate outperformed that with sodium silicate in both tensile strength and storage performance. [ABSTRACT FROM AUTHOR]

In this paper, the interfacial energy of various inorganic salts was calculated using the first principle. Finally, NaCl and Na2SO4 were determined as the core materials. A high-strength composite salt core was prepared by optimizing the distribution ratio of the salt core components. The microstructure of the salt core fracture was observed and characterized by SEM and EDS, and the strengthening mechanism of the salt core after the composite was analyzed. The results demonstrated that the strength of the composite salt core was significantly improved compared with the single salt. The bending strength of the salt core reached 24 MPa when the pouring temperature was 800 °C and the molar ratio of NaCl to Na2SO4 was 7:3. Cracks were first generated in the dendrite zone and extended to the surface of the salt core when the salt core was subjected to an external force. After compounding, the structure of the salt core strengthening zone was more complex, the crystal grains were significantly refined, and herringbone patterns appeared. The composite salt blocks are distributed in the strengthening zone and play a leading role in improving the strength of the salt core. [ABSTRACT FROM AUTHOR]

Background: The efficacy of off-pump coronary endarterectomy (CE) has been proven in patients with diffuse coronary artery disease (DCAD). However, the clinical benefits of of-pump CE stratified by different target vessels remain controversial. This retrospective study assessed the effect of the territory and number of CE on short- and long-term outcomes of DCAD. Methods: From January 2012 to December 2014, 246 patients undergoing off-pump coronary artery bypass grafting (OPCABG) + CE were included. The patients were grouped by the territory and number of CE. The primary endpoints were postoperative acute myocardial infarction (PMI) and long-term major adverse cardiovascular and cerebrovascular events (MACCE). Results: Sixty-five patients (26.42%) were in the left anterior descending branch (LAD) group (CE on LAD), 134(54.47%) in the right coronary artery (RCA) group (CE on RCA), and 47(19.10%) in the multi-vessels group. PMI in the LAD group, RCA group, and multi-vessels group were 3.08%, 6.72%, and 14.89%, respectively (P = 0.08). Multi-vessels CE (OR = 9.042, 95%CI 2.198–37.193, P = 0.002), CE-plaque length ≥ 3 cm (OR = 6.247, 95%CI 2.162–18.052, P < 0.001), and type 2 diabetes mellitus (2DM) (OR = 4.072, 95%CI 1.598–10.374, P = 0.003) were independent risk factors of PMI. The long-term (mean 76 months) MACCE in the LAD group, RCA group, and multi-vessels group were 13.85%, 17.91%, and 10.64%, respectively (P = 0.552). Cox analysis indicated that PMI (HR = 7.113, 95%CI 3.129–16.171, P < 0.001) and Age ≥ 65 years (HR = 2.488, 95%CI 1.214–5.099, P = 0.013) increased the risk of long-term MACCE. Conclusions: Multi-vessel CE and CE-plaque length ≥ 3 cm significantly increased risk of PMI after OPCABG + CE, but the territory and number of CE did not affect long-term MACCE. [ABSTRACT FROM AUTHOR]

Background: Neck pain and cervical disc degeneration (CDD) are common findings. Valid data on correlation between clinical scores and radiological grade of CDD in patients with mild to moderate clinical disability are not available. The study has been designed to investigate the correlation between clinical and radiological outcomes in these patients. Methods: A cohort of 150 patients who suffered from mild to moderate cervical spine dysfunction symptoms from September 2020 to May 2021 was enrolled. We evaluated functional status using Japanese Orthopaedic Association scores (JOA), the visual analog scale, and the Neck Disability Index. We assessed the CDD with magnetic resonance imaging-based grading systems. We analyzed relationships between radiological grades of CDD and clinical symptoms along with demographic data. Results: One hundred thirteen patients [mean age 44.78, 78 (69%) females] were finally included. CDD occurred most at the C5–C6 level, with 56.93% of higher grade III from Miyazaki. The grades of Miyazaki (P < 0.05) and the scores of Nakashima (P < 0.05) were positively correlated with the duration of symptoms, and the severity of the CDD increased with aging (P < 0.01). Moreover, we correlated patients' JOA scores with the current scoring and grading systems, especially the grades of Miyazaki (P < 0.01) and the scores of Nakashima (P < 0.01). Conclusion: Increasing grades of CDD paralleled decreasing JOA scores in the population studied. [ABSTRACT FROM AUTHOR]

In this paper, we present a new block preconditioner for solving the saddle point linear systems. The proposed method is developed from an augmented reformulation of the saddle point problem into a new linear system with an almost block triangular coefficient matrix. Theoretical results are derived on the eigenvalue distribution of the preconditioned matrix, and an efficient algorithmic implementation is developed and presented. Several numerical examples are reported to support the theoretical findings and to illustrate the favourable convergence properties of the proposed preconditioner, also compared to other popular solvers for saddle point problems. [ABSTRACT FROM AUTHOR]

This paper attempts to develop a machining error diagnosis method for classifying the error sources on the external/internal contour surfaces which are fabricated using a two-axis cylindrical grinding machine. A derivation of the contour profile to grinding wheel motion trajectory and also the grinding wheel motion trajectory to the contour profile equations has been performed. Due to the contours having a sinusoidal polynomial polar curve instead of a rose curve, the grinding wheel motion trajectory equation is then used to generate the NC code for the machining. The grinding wheel motion trajectory equation is needed for the synthesis of the profile error caused by the motion error as well as the variation of the grinding wheel diameter. The two-axis motion equation is obtained by transforming the non-circular contour equation through the coordinates of the grinding wheel and workpiece. The influence of different machining parameters such as grinding wheel outer diameter error, grinding wheel feed rate, and workpiece rotation speed on the external/internal contour profile is being studied and analyzed. The diagnosis method is based on the least square method to assemble the components of the profile error due to each individual error sources. The actual machining with probe system is used to verify the diagnosis result. [ABSTRACT FROM AUTHOR]