Achieving a Rapid Na+ Migration and Highly Reversible Phase Transition of NASICON for Sodium-Ion Batteries with Suppressed Voltage Hysteresis and Ultralong Lifespan.

Sodium ion batteries have attracted great attention for large scale energy storage devices to replace lithium-ion batteries. As a promising polyanionic cathode material of sodium-ion batteries, Na3V2(PO4)2F3 (NVPF) belonging to NASICON exhibits large gap space and excellent structural stability, leading to a high energy density and ultralong cycle lifespan. To improve its stability and Na ion mobility, K+ cations are introduced into NVPF crystal as in situ partial substitution for Na+. The influence of K+ in situ substitution on crystal structure, electronic properties, kinetic properties, and electrochemical performance of NVPF are investigated. Through ex situ examination, it turns out that K+ occupied Na1 ion, in which the K+ does not participate in the charge-discharge process and plays a pillar role in improving the mobility of Na+. Moreover, the doping of K+ cation can reduce the bandgap energy and improve the electronic conductivity. Besides, the optimal K+ doping concentration in N0.92K0.08VPF/C is found so as to achieve rapid Na+ migration and reversible phase transition. The specific capacity of N0.92K0.08VPF/C is as high as 128.8 mAh g-1 at 0.2 C, and at 10 C its rate performance is excellent, which shows a capacity of 113.3 mAh g-1.

SnCo Nanoparticles Loaded in Hollow Carbon Spheres Interlinked by N-Doped Carbon Fibers for High-Performance Sodium-Ion Batteries.

The development of Sn-based materials with electrochemically inactive matrices is a novel strategy to alleviate the volume expansion and giant structure strain/stress during the sodiation/desodiation process. In this work, a freestanding membrane based on the unique bean pod-like host composed by nitrogen-doped carbon fibers and hollow carbon spheres (HCSs) encapsulated with SnCo nanoparticles is synthesized by electrospinning (B-SnCo/NCFs). In this unique bean pod-like structure, Sn acts as a host for Na+ storage, while the Co plays the important role of an electrochemically inactive matrix that can not only buffer the volume variations but also inhibit aggregation and particle growth of the Sn phase during the electrochemical Na-Sn alloying process. Meanwhile, the introduction of hollow carbon spheres can not only provide enough sufficient void space to withstand the volume expansion during the (de)sodiation processes but also improve the conductivity of the anode along the carbon fibers. Furthermore, the B-SnCo/NCF freestanding membrane can increase the contact area between the active material and the electrolyte, which can provide more active sites during the cycling process. When used as an anode material for Na-ion batteries, the freestanding B-SnCo/NCF anode exhibits an outstanding rate capacity of 243.5 mA h g-1 at 1.6 A g-1and an excellent specific capacity of 351 mA h g-1 at 0.1 A g-1 for 300 cycles.

The role of single-cell RNA sequencing in cardiac tumour - a case report.

A 65-year-old woman presented to our hospital with 5 days of chest tightness, dyspnoea, and lower abdominal distension. Echocardiography revealed a mass in the right atrium. An emergency operation was carried out to prevent tumour shedding. The patient was discharged on the 4th day of tumour resection, without any complications At the 18 months follow-up, she suffered from kidney and lung tumours. She refused any treatment and passed away. scRNA-seq was applied to analyse the nature of the tumour. The cellular components of benign tumours include chondrocytes, smooth muscle cells, fibroblasts, mesenchymal stromal cells, and osteoblasts. Additionally, the cyclic guanosine monophosphate (cGMP-PKG) signalling pathway, transcriptional misregulation in cancer, and the p53 signalling pathway may be related to the growth of this tumour. scRNA-seq is a good approach to analyse growth patterns of cardiac tumours and helpful for distinguishing the nature of the tumour.

Bean Pod-Like SbSn/N-Doped Carbon Fibers toward a Binder Free, Free-Standing, and High-Performance Anode for Sodium-Ion Batteries.

Bimetallic SbSn alloy stands out among the anode materials for sodium-ion batteries (SIBs) because of its high theoretical specific capacity (752 mAh g-1 ) and good electrical conductivity. However, the major challenge is the large volume change during cycling processes, bringing about rapid capacity decay. Herein, to cope with this issue, through electrostatic spinning and high temperature calcination reduction, the unique bean pod-like free-standing membrane is designed initially, filling SbSn dots into integrated carbon matrix including hollow carbon spheres and nitrogen-doped carbon fibers (B-SbSn/NCFs). Significantly, the synergistic carbon matrix not only improves the conductivity and flexibility, but provides enough buffer space to alleviate the large volume change of metal particles. More importantly, the B-SbSn/NCFs free-standing membrane can be directly used as the anode without polymer binder and conductive agent, which improves the energy density and reaction kinetics. Satisfyingly, the free-standing BSbSn/NCFs membrane anode shows excellent electrochemical performance in SIB. The specific capacity of the membrane electrode can maintain 486.9 mAh g-1 and the coulombic efficiency is close to 100% after 400 cycles at 100 mA g-1 . Furthermore, the full cell based on B-SbSn/NCFs anode also exhibits the good electrochemical performance.

Controlling Biological Invasions: A Stochastic Host-Generalist Parasitoid Model.

On a global scale, biological invasions are seriously destroying the stability of ecosystem, sharply decreasing biodiversity and even endangering human health and causing huge economic losses. However, there exist few effective measures controlling biological invasions. To more accurately examine the prevention and control effects of biological control on biological invasions in real environments of random fluctuations, we construct a stochastic host-generalist parasitoid model. We first establish, respectively, the sufficient conditions for the persistence and extinction of invasive hosts and generalist parasitoids, including (1) only the intrusive hosts go extinct; (2) only the generalist parasitoids are extinct, and (3) the intrusive hosts and generalist parasitoids are both extinct or persistent. Then, we perform a series of numerical simulations to verify the validity of the theoretical results obtained, based on which we further discuss the impacts of stochastic environmental fluctuations on the control of intrusive hosts, especially the possible changes of qualitative behavior caused by environmental noises in the bistable scenario. Our theoretical and numerical results indicate that compared with the invasive hosts, the generalist parasitoids are more vulnerable to environmental noises, and the prevention and control effects of biological control on invasive hosts are closely dependent to the initial population sizes. Thus, improving the ability of early detection of ecosystems, including the initial densities of biological populations and their dynamic characteristics, will provide effective predictive guidance for the prevention and control of alien host invasions.

The MLR, NLR, PLR and D-dimer are associated with clinical outcome in lung cancer patients treated with surgery.

OBJECTIVE: The study objective was to investigate the use of peripheral blood biomarkers as predictors of patient survival. The aim of this study was to identify the baseline peripheral blood biomarkers associated with clinical outcome in patients with early lung cancer (stage I-II) treated with surgery. METHODS: We included and analysed data from 376 patients with early-stage lung cancer who underwent a standard lobectomy. Univariate and multivariate Cox regression analyses were performed on all patients to assess the relationships between progression-free survival (PFS) and overall survival (OS) and the peripheral blood biomarker metrics measured before surgical treatment. The peripheral blood parameters included monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and dimeric fibrin fragment D (D-dimer). RESULTS: After univariate Cox regression analysis, low MLR, low NLR, low PLR and low D-dimer values were significantly associated with both better OS and PFS (all p < 0.05). In multivariate Cox regression analysis, a low MLR was significantly and independently associated with both better overall survival and better progression-free survival (both p <0.05). A low D-dimer level was significantly and independently associated with better overall survival (p <0.05). Furthermore, the categorization of patients according to the number of factors with favourable results revealed that those without favourable results had significantly worse outcomes than that of those patients with at least one. CONCLUSION: A baseline signature of low MLR, low NLR, low PLR, and low D-dimer values was associated with a better survival outcome for patients treated with surgery. Patients with more favourable results had better survival outcomes.

A Giant Ascending Aortic Aneurysm Compressed the Left Main Bronchus and Esophagus: A Case Report.

We report a 39-year-old Chinese man with a giant ascending aortic aneurysm that compressed the left main bronchus and esophagus. Cabrol procedure was successfully performed. The symptoms of dry cough, dysphagia, chest tightness, and asthma disappeared. Without any complications, the patient was discharged home.

Spatial distribution and quantitative source identification of nutrients and beneficial elements in the soil of a typical suburban area, Beijing.

Source identification and quality monitoring of soil nutrients and beneficial elements (NBEs) are crucial for agricultural production and environmental protection. In this study, grid sampling (223 topsoil samples and 223 subsoil samples) was carried out in the Tongzhou District of Beijing. The concentration level of representative NBEs (N, P, K, Ca, Mg, Se, V, Ge, Mn, Zn) and some typical soil properties representing indicators (total organic carbon, TFe2O3, Al2O3/SiO2, and pH) in soils and their spatial distribution were analyzed. The major sources contributing to these NBEs were assessed by principal component analysis (PCA), redundancy analysis (RDA), and positive matrix factorization (PMF) analysis. The results suggested that the soil parent material contributed 40.09-69.84% to Zn, V, Ge, Mn, F, and K in soils; the local external source contributed 54.89-75.04% to N, Se, and TOC; and the hydrous system contributed 40.67-77.31% to Ca and Mg. The enrichment degree of each NBE was calculated using the standardized concentration ratio method. These indices exhibited the influence and mixing process of different sources on the target NBEs in topsoils. The individual concentrations of the target NBEs and the combined concentrations of N, P, and K were used to evaluate the soil quality. Our study estimated the relative contributions from dominant sources to NBEs in soils from a typical suburban area, providing a basis for agricultural activities and environmental protection.

[Levels of tPSA and fPSA and count of peripheral blood neutrophils in the diagnosis of prostate cancer].

OBJECTIVE: To investigate the value of combined detection of tPSA, fPSA and peripheral blood neutrophil count (Neut#) in the diagnosis of PCa. METHODS: This study included 238 cases of PCa, 328 cases of BPH and 303 normal men as healthy controls present at our hospital for medical or physical examination from August 2018 to December 2021. We detected the levels of serum tPSA and fPSA and Neut# of the subjects, and assessed the value of the combined detection in the diagnosis of PCa using logistic regression analysis, ROC curves, Pearman correlation analysis and nonparametric test. RESULTS: There were significant differences in the tPSA and fPSA levels and Neut# between any two of the PCa, BPH and healthy control groups (P < 0.05). The index N of the combined detection of tPSA, fPSA and Neut# showed an evidently higher diagnostic value than that of any single-item detection. The Gleason scores of the subjects were correlated positively with the tPSA and fPSA levels and index N, with the correlation coefficients of 0.184, 0.245 and 0.166 respectively, P < 0.05), and negatively with the Neut#, with the correlation coefficient of －0.168, P < 0.05). Statistically significant differences were observed in the tPSA and fPSA levels, Neut# and index N in those with different Gleason scores (P < 0.05). CONCLUSION: The combined detection of tPSA, fPSA and Neut# improves the diagnosis of PCa and can be applied clinically as an auxiliary diagnostic method.

Core-Shell CoSe2 /WSe2 Heterostructures@Carbon in Porous Carbon Nanosheets as Advanced Anode for Sodium Ion Batteries.

Heterojunction, with the advantage of fast charge transfer dynamics, is considered to be an effective strategy to address the low capacity and poor rate capability of anode materials for sodium-ion batteries (SIBs). As well, carbonaceous materials, as a crucial additive, can effectively ameliorate the ion/electron conductivity of integrated composites, realizing the fast ion transport and charge transfer. Here, motivated by the enhancement effect of carbon and heterojunction on conductivity, it is proposed that the CoSe2 /WSe2 heterojunction as inner core is coated by carbon outer shell and uniformly embedded in porous carbon nanosheets (denoted as CoSe2 /WSe2 @C/CNs), which is used as anode material for SIBs. Combining with density functional theoretical calculations, it is confirmed that the structure of heterojunction can introduce built-in electric-field, which can accelerate the transportation of Na+ and improve the conductivity of electrons. Moreover, the introduction of porous carbon nanosheets (CNs) can provide a channel for the transportation of Na+ and avoid the volume expansion during Na+ insertion and extraction process. As it is expected, CoSe2 /WSe2 @C/CNs anode displays ultrastable specific capacity of 501.9 mA h g-1 at 0.1 A g-1 over 200 cycles, and ultrahigh rate capacity of 625 mA h g-1 at 0.1 A g-1 after 100 cycles.

Facile reflux synthesis of polyethyleneimine-capped fluorescent carbon dots for sequential bioassays toward Cu2+ /H2 S and its application for a logic system.

In this work, we present a novel facile strategy for green synthesis of polyethyleneimine (PEI)-capped carbon dots (PEI-CDs), in which citric acid and PEI were chosen as reactants and highly fluorescent PEI-CDs could be readily obtained via a simple one-pot refluxing under 120 °C within 2 H. Fluorescence studies indicate that the as-prepared PEI-CDs exhibit strong fluorescence emission at 446 nm with excitation at 365 nm. Upon the sequential addition of Cu2+ and H2 S, PEI-CDs result in an interesting "ON-OFF-ON" three-state emission responses, promising a bifunctional sensory platform. Moreover, the Cu2+ /H2 S-facilated reversible fluorescence changes of PEI-CDs have demonstrated the design of an INHIBIT logic system based on Boolean logic.

Direct Downregulation of B-Cell Translocation Gene 3 by microRNA-93 Is Required for Desensitizing Esophageal Cancer to Radiotherapy.

BACKGROUND: Esophageal squamous carcinoma (ESC) is one of the most fatal malignancies worldwide with increasing occurrences yet poor outcome. MicroRNAs were reported to play roles in ESC. AIMS: We aimed to understand how miRNAs affect the radiotherapy resistance of ESC. METHODS: MicroRNA assays, real-time PCR, and Western blot were performed for expression analysis of miR-93 and BTG3. Luciferase activity assay was conducted with mutated B-cell translocation gene 3 (BTG3) 3'-UTR sequence in the 3' end of luciferase sequence with miR-93 inhibitor. ESC cells were treated with irradiation (IR) and clonogenic assay was utilized to detect the cell viability. Human ESC xenograft mouse model was established and subjected to target IR treatment followed by tumor size analysis. RESULTS: MiR-93 was decreased and BTG3 was increased in ESC cells, with negative correlation of their expression in ESC tissues. MiR-93 directly targeted BTG3 3'-UTR by luciferase activity assay. Either miR-93 inhibition or BTG3 overexpression decreased radiation resistance. Furthermore, miR-93 inhibition suppressed radiation resistance through BTG3. CONCLUSIONS: Direct downregulation of BTG3 by miR-93 is able to render ESC resistant to radiotherapy, and both BTG3 and miR-93 may potentially serve as clinical markers for ESC and contribute to the treatment of ESC.

Pollution of intensively managed greenhouse soils by nutrients and heavy metals in the Yellow River Irrigation Region, Northwest China.

The present study aimed to assess the potential ecological risk of heavy metals and nutrient accumulation in polytunnel greenhouse soils in the Yellow River irrigation region (YRIR), Northwest China, and to identify the potential sources of these heavy metals using principal component analysis. Contents of available nitrogen (AN), phosphorus (AP), and potassium (AK) in the surface polytunnel greenhouse soils (0-20 cm) varied from 13.42 to 486.78, from 39.10 to 566.97, and from 21.64 to 1,156.40 mg kg(-1), respectively, as well as AP, soil organic matter (SOM) and AK contents tended to increase significantly at the 0-20- and 20-40-cm soil layers. Heavy metal accumulations occurred in the polytunnel greenhouse soils as compared to arable soils, especially at a depth of 20 cm where Cd, Zn and Cu contents were significantly higher than arable soil. Cd and As were found to be the two main polluting elements in the greenhouse soils because their contents exceeded the thresholds established for greenhouse vegetable production HJ333-2006 in China and the background of Gansu province. It has been shown that Cd, Cu, Pb and Zn at the 0-20-cm soil layer were derived mainly from agricultural production activities, whereas contents of Cr and Ni at the same soil layer were determined by 'natural' factors and As originated from natural sources, deposition and irrigation water.

Controlling smoking: A smoking epidemic model with different smoking degrees in deterministic and stochastic environments.

Engaging in smoking not only leads to substantial health risks but also imposes considerable financial burdens. To deepen our understanding of the mechanisms behind smoking transmission and to address the tobacco epidemic, we examined a five-dimensional smoking epidemic model that accounts for different degrees of smoking under both deterministic and stochastic conditions. In the deterministic case, we determine the basic reproduction number, analyze the stability of equilibria with and without smoking, and investigate the existence of saddle-node bifurcation. Our analysis reveals that the basic reproduction number cannot completely determine the existence of smoking, and the model possesses bistability, indicating its dynamic is susceptible to interference from environmental noises. In the stochastic case, we establish sufficient conditions for the ergodic stationary distribution and the elimination of smokers by constructing appropriate Lyapunov functions. Numerical simulations suggest that the effects of inevitable random fluctuations in the natural environment on controlling the smoking epidemic may be beneficial, harmful, or negligible, which are closely related to the noise intensities, initial smoking population sizes, and the effective exposure rate of smoking transmission (ß). Given the uncontrollable nature of environmental random effects, effective smoking control strategies can be achieved by: (1) accurate monitoring of initial smoking population sizes, and (2) implementing effective measures to reduce ß. Therefore, it is both effective and feasible to implement a complete set of strong MPOWER measures to control smoking prevalence.

Gliotoxin Induced Ferroptosis by Downregulating SUV39H1 Expression in Esophageal Cancer Cells.

BACKGROUND: Gliotoxin, a secondary metabolite isolated from marine-derived Aspergillus fumigatus, has demonstrated anti-tumor properties in several cancers. Ferroptosis, a recently discovered type of programmed cell death that depends on the accumulation of iron and lipid peroxides, participates in the occurrence and development of various diseases, including cancer. A recent patent, US20200383943, has suggested that the promotion of ferroptosis is a method of cancer treatment. Therefore, the development of drugs that induce ferroptosis in cancer cells would constitute a novel therapeutic approach. OBJECTIVE: Gliotoxin is a natural compound which has exhibited anti-tumor properties in multiple cancers, however, studies of the effect of gliotoxin on esophageal cancer are lacking. Although cancer treatment has shown great progress, including traditional surgery, chemotherapy, radiotherapy, and immunotherapy, the prognosis of esophageal cancer is still poor. Therefore, the development of new treatment approaches for esophageal cancer is necessary. METHODS: The effects of gliotoxin on esophageal cancer cells were determined by functional assays, such as CCK-8, wound healing and transwell assays. We used online tools to predict the target genes of gliotoxin, followed by further verification using Western blotting assays. To assess the role of gliotxin in inducing ferroptosis in esophageal cancer, we detected characteristics associated with ferroptosis including ROS, MDA, GSH and Fe2+. RESULTS: Using online tools SEA and SwissTargetPrediction, we predicted that SUV39H1 was the gliotoxin target gene. Furthermore, in esophageal cancer tissues, SUV39H1 was expressed at higher levels than in normal tissues, while in patients with Esophageal Squamous Cell Carcinoma (ESCC), high expression levels of SUV39H1 indicated a poor prognosis. In vitro, we observed that gliotoxin increased ESCC cell death and inhibited cell migration. We treated ESCC cells with pan-caspase inhibitor Z-VAD-FMK or ferroptosis inhibitors, including Fer-1 and DFO. Our results showed that Fer-1 and DFO reduced the toxic effects of gliotoxin, while Z-VAD-FMK did not. Furthermore, gliotoxin treatment reduced tumor weight and volume in the xenograft tumor mouse model. CONCLUSION: In summary, our findings indicate that gliotoxin downregulated SUV39H1 expression in ESCC cells and induced ferroptosis, suggesting a novel natural therapy for ESSC.

CircDiaph3 influences PASMC apoptosis by regulating PI3K/AKT/mTOR pathway through IGF1R.

The pathogenesis of pulmonary hypertension has not been elucidated. We investigated the role of a circular ribonucleic acid, circDiaph3, in the proliferation and migration of pulmonary artery smooth muscle cells during pulmonary hypertension. CircDiaph3 overexpression in blood samples of patients with pulmonary hypertension was analyzed by real-time quantitative polymerase chain reaction. Subsequently, a rat model of pulmonary arterial hypertension was established under hypoxic conditions. Pulmonary artery smooth muscle cells were harvested from the rat model for subsequent experiments with small interfering ribonucleic acid-mediated knockdown of circDiaph3. In cell model, we found that PI3K, AKT, mTOR and insulin-like growth factor 1 signaling pathway (IGF1R) and smooth muscle cell marker genes (α-SMA, Vcam1) were significantly downregulated. The overexpression of Igf1r in pulmonary artery smooth muscle cells rescued the downregulated smooth muscle cell genes, IGF1R signaling pathway proteins, increased smooth muscle cell proliferation, and reduced apoptosis. CircDiaph3 regulates the PI3K/AKT/mTOR signaling pathway via IGF1R to inhibit apoptosis and promote proliferation of smooth muscle cells. Additionally, adenovirus-mediated in vivo inhibition of circDiaph3 was carried out in rats with pulmonary arterial hypertension, followed by harvesting of their pulmonary artery smooth muscle cells for subsequent experiments. Excessive proliferation of smooth muscle cells in the pulmonary artery has narrowed the pulmonary artery lumen, thereby causing pulmonary hypertension, and our results suggest that circDiaph3 has important value in the treatment of pulmonary hypertension. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-023-03739-0.

Inflammatory risk stratification individualizes anti-inflammatory pharmacotherapy for acute type A aortic dissection.

The systemic benefits of anti-inflammatory pharmacotherapy vary across cardiovascular diseases in clinical practice. We aimed to evaluate the application of artificial intelligence to acute type A aortic dissection (ATAAD) patients to determine the optimal target population who would benefit from urinary trypsin inhibitor use (ulinastatin). Patient characteristics at admission in the Chinese multicenter 5A study database (2016-2022) were used to develop an inflammatory risk model to predict multiple organ dysfunction syndrome (MODS). The population (5,126 patients from 15 hospitals) was divided into a 60% sample for model derivation, with the remaining 40% used for model validation. Next, we trained an extreme gradient-boosting algorithm (XGBoost) to develop a parsimonious patient-level inflammatory risk model for predicting MODS. Finally, a top-six-feature tool consisting of estimated glomerular filtration rate, leukocyte count, platelet count, De Ritis ratio, hemoglobin, and albumin was built and showed adequate predictive performance regarding its discrimination, calibration, and clinical utility in derivation and validation cohorts. By individual risk probability and treatment effect, our analysis identified individuals with differential benefit from ulinastatin use (risk ratio [RR] for MODS of RR 0.802 [95% confidence interval (CI) 0.656, 0.981] for the predicted risk of 23.5%-41.6%; RR 1.196 [0.698-2.049] for the predicted risk of <23.5%; RR 0.922 [95% CI 0.816-1.042] for the predicted risk of >41.6%). By using artificial intelligence to define an individual's benefit based on the risk probability and treatment effect prediction, we found that individual differences in risk probability likely have important effects on ulinastatin treatment and outcome, which highlights the need for individualizing the selection of optimal anti-inflammatory treatment goals for ATAAD patients.

Discovering Gene Signature Shared by Prostate Cancer and Neurodegenerative Diseases Based on the Bioinformatics Approach.

Background: Prostate cancer (PCa) is one of the highest frequent malignant tumors with very complicated pathogenesis. Genes of neurodegenerative diseases can influence tumor progression. But its role in the progression of PCa remains unclear. The purpose of the present academic work was to identify significant genes with poor outcome and their underlying mechanism. Methods: The GSE70768, GSE88808, and GSE134051 datasets were downloaded to screen the differentially expressed genes (DEGs). The DEG screening criteria were as follows: P < 0.05 and differential fold change |logFC| ≥ 1. The common DEGs (co-DEGs) of the three datasets were obtained by the Robust Rank Aggregation (RRA) method. Gene Ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis were performed using R software. Protein-protein interaction (PPI) network analysis was performed for co-DEGs using STRING to screen critical genes. Differential expression and prognosis of key genes were analyzed by the online tool Gene Expression Profiling Interactive Analysis 2 (GEPIA2). The intersection gene between key genes and neurodegenerative genes was identified by constructing a Venn diagram. Results: A total of 263 co-DEGs were identified from the three datasets. GO analysis showed that co-DEGs were mainly involved in muscle contraction and blood circulation regulation. The top ten key genes were ACTG2, APOE, F5, CALD1, MYH11, MYL9, MYLK, TPM1, TPM2, and CALM1. GEPIA2 analysis showed that APOE, MYH11, and MYLK differ dramatically between tumor and normal tissues. These key genes are related to disease-free survival (DFS) in PCa. APOE was the intersection gene between key genes and Alzheimer-related genes. Conclusion: The neurodegenerative gene APOE may be a potential prognostic and diagnostic biomarker for PCa.

Assessing the Relationship between Resource Misallocation and Total Factor Productivity Based on Artificial Neural Network.

For interpretation of China's economy, total factor productivity is considered as one of the crucial aspects which is generally dependent on innovation in technologies especially those driven by both scientific research and efficiency of the methodology or process which is dedicated for the allocation of numerous resources available, among enterprises. It is important to note that various factors, which are either directly or indirectly involved, to cause misallocation of the resources to the enterprises, are overly complex. Therefore, an affective mechanism is needed to be realized which is capable of resolving these issues with the available resources and infrastructures. In this paper, we have focused on the construction or development of an artificial neutral network (ANN) based evaluation model to study the impact of resource misallocation on total factor productivity. Likewise, we have conducted a counterfactual experiment, i.e., simulation only, to thoroughly examine the relationship between two very important factors, that is, (i) resource misallocation and (ii) total factor productivity. To do this, we are aiming at investigating the growth potential of total factor productivity when there is no resource misallocation. After comparing 8 industries in different regions, we conclude that the contribution of capital and labor distortion to total factor productivity is the highest in the eastern region of China with -0.036 and 0.065, respectively, followed by the northeast, central, and western regions. In the experiment, China's total factor productivity growth potential could reach 1.1296, if there is no resource misallocation. The results in this paper would shed some lights on the paths to improve resource allocation efficiency and total factor productivity.

Construction of miRNA-mRNA network and a nomogram model of prognostic analysis for prostate cancer.

Background: Dysregulated genetic factors correlate with carcinoma progression. However, the hub miRNAs-mRNAs related to biochemical recurrence in prostate cancer remain unclear. We aim to identify potential miRNA-mRNA regulatory network and hub genes in prostate cancer. Methods: Datasets of gene expression microarray were downloaded from Gene Expression Omnibus (GEO) database for Robust Rank Aggregation (RRA), targeted gene prediction, gene function and signal pathway enrichment analyses, miRNA-mRNA regulatory network construction, core network screening, as well as validation and survival analysis were carried out by using exogenous data. Results: Prostate cancer-related differentially expressed genes were mostly related to actin filament regulation. Moreover, the cGMP-PKG signaling pathway might play a role in prostate cancer progression. As the core of microRNAs, hsa-miR-106b-5p, hsa-miR-17-5p and hsa-miR-183-5p were matched to hub genes (such as TMEM100, FRMD6, NBL1 and STARD4). The expression levels of hub genes in prostate cancer tissues were significantly lower than normal and closely related to prognosis of patients. The ridge regression model was applied to establish a risk score system. Both risk score and Gleason were used to establish a nomogram. Nomogram predicted the area under the [receiver operating characteristic (ROC)] curve (AUC) of biochemical recurrence at 1-, 3-, and 5-year of 0.713, 0.732 and 0.753, respectively. Conclusions: Hub genes were closely related to prostate cancer development and progression, which might become biomarkers for diagnosis and prognosis. This novel nomogram established could be applied to clinical prediction.