Search

A comprehensive kinetic model called anaerobic digestion bacteria algae (ADBA) was developed to describe and predict the complex algae-bacterial system in anaerobic digestion (AD) wastewater under mixotrophic growth conditions. The model was calibrated and validated using the experimental growth data from cultivating the algae (Chlorella vulgaris CA1) with its indigenous bacteria in Blue Green 11 (BG-11) media and different combinations of sterilized, diluted, and raw AD effluent. Key parameters were obtained, including the distinct maximum growth rate of algae on CO2 (μa,CO2, 1.23 per day) and organic carbon (μa,OC, 3.30 per day), the maximum growth rate of bacteria (µb, 1.20 per day), along with two noble parameters, i.e., the algae-bacteria interaction exponent (n, 0.03) and the growth inhibition coefficient (ae = 30 000 mg/L per AU) due to effluent turbidity. The model showed a good fit with an average R2 = 0.90 in all cases adjusted with 25 kinetic parameters. This was the first model capable of predicting algal and bacterial growth in AD effluent with their competitive interactions, assuming shifting growth modes of algae on organic and inorganic carbon under light. It could also predict the removal rate of substrate and nutrients from effluent, light inhibition due to biomass shading and effluent turbidity, mass transfer rate of O2 and CO2 from gas phase to liquid phase, and pH-driven equilibrium between dissolved inorganic carbon components (CO2, HCO3–, and CO32–). Algal growth in the strongly buffered AD effluent resulted in odor removal, turbidity reduction, and the removal of ∼80% of total ammonium-nitrogen and 90% of organic carbon. In addition to process parameter prediction, this study offered a practical solution to wastewater treatment, air pollution, and nutrient recycling, ensuring a holistic and practical approach to ecological balance.

Abstract Multiple myeloma (MM) is the second most common hematological malignancy. Previous studies have validated the prognostic significance of the platelet-to-lymphocyte ratio (PLR) in patients with certain solid tumors. However, the relationship between the PLR and prognosis in myeloma patients has not been clearly demonstrated. In our study, we included 122 newly diagnosed MM patients who were treated with bortezomib-based chemotherapy. These patients were divided into low-PLR and high-PLR groups based on their initial PLR values. We compared the clinical characteristics between the two groups and utilized restricted cubic splines (RCSs) in the regression model to estimate the nonlinear relationship between the initial PLR and overall survival (OS) in MM patients. The results showed that patients in the low-PLR group had significantly worse OS (P = 0.00031) and progression-free survival (PFS) (P

Abstract Background Fear of missing out (FoMO) is a new type of anxiety disorder in the context of the Internet, which has a negative effects on the physical and mental health and behavior of college students, such as Internet addiction, non-adaptive socializing, and negative emotions. In order to investigate the effect of relative deprivation (RD) on FoMO of college students, this study conducted a moderated mediation model to examine the relationship between RD, FoMO, self-regulatory fatigue (SRF), and personal belief in a just world (BJW). Methods A total of 956 college students were surveyed on a RD Questionnaire, SRF Scale, FoMO Scale, and Personal BJW Scale. Results The results showed as follows: (1) College students’ RD positively predicted FoMO and SRF. (2) SRF partially mediated the link between RD and FoMO. (3) Personal BJW moderated the relationship between RD and FoMO, that is, when personal BJW is high, RD has a stronger predictive effect on SRF. Conclusion The results of this study help to reveal the influence and mechanism of RD of college students on FoMO. The results also show that reducing college students’ RD, improving self-control ability, and cultivating rational personal BJW can effectively prevent FoMO.

Abstract Background Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma in adult, characterized by uncontrolled cell proliferation and strong aggressiveness. Previous studies have found that cyclin-dependent kinase 1(CDK1) are related to tumor growth and metastasis. However, the role of CDK1 in DLBCL is exclusive. This study investigated the clinical implications and expression of CDK1 in DLBCL. Methods Gene expression data for healthy subjects were sourced from the Genotype-Tissue Expression repository. Clinical details and survival statistics of patients with DLBCL were obtained from the Gene Expression Omnibus archive (GSE10846). Patients were categorized based on CDK1 expression levels, and differences in clinical outcomes between the groups were examined. Univariate and multivariate Cox regression analyses were used to ascertain whether CDK1 expression independently predicted DLBCL prognosis. The protein expression of CDK1 was gauged by immunohistochemistry. Additionally, we investigated the effect of CDK1 inhibition on DLBCL cell growth and death using the Cell Counting Kit-8 and flow cytometry. Results In the control group, CDK1 expression was predominantly observed in the hematopoietic and reproductive systems. CDK1 levels in patients with DLBCL were notably elevated compared with those in controls. Significant differences were noted in the lactate dehydrogenase ratio and overall survival based on CDK1 expression. Statistical analyses confirmed that CDK1 was an independent predictor of DLBCL outcomes. Elevated CDK1 protein levels were observed in a significant number of DLBCL samples, in contrast to normal lymph node samples from individuals without lymphoma. The inhibitor Ro-3306 curtails DLBCL cell growth and enhances cell death in vitro. Conclusions Elevated CDK1 levels are correlated with poor prognosis in patients with DLBCL.

Abstract Direct carbonylation of CH4 to CH3COOH provides a promising pathway for upgrading of natural gas to transportable liquid chemicals, in which high-efficiency CH4 activation and controllable C–C coupling are both critical but challenging. Herein, we report that highly efficient photo-driven carbonylation of CH4 with CO and O2 to CH3COOH is achieved over MoS2-confined Rh-Zn atomic-pair in conjunction with TiO2. It delivers a high CH3COOH productivity of 152.0 μmol gcat. −1 h−1 and turnover frequency of 62.0 h−1 with a superior selectivity of 96.5%, outperforming previous photocatalytic CH4 carbonylation processes. Mechanistic investigations disclose the key effect of Rh-Zn synergy in combination with photo-excited electrons from TiO2 for CH3COOH formation. The active OH species produced from O2 photoreduction on the Zn site through proton-coupled electron transfer promotes CH4 dissociation to CH3 species, which then facilely couples with adsorbed CO on the adjacent Rh site forming the key CH3CO intermediate for CH3COOH formation.

Abstract Purpose Based on the demonstration of a circadian rhythm in the human oral mucosa cell cycle, with most cells in the G2/M phase in the afternoon and at night, the present study evaluated the severity of acute radiation esophagitis and treatment outcomes in esophageal squamous cell carcinoma patients receiving radiotherapy (RT) in the daytime versus in the evening. Methods From the 488 eligible patients of esophageal squamous cell carcinoma receiving concurrent chemoradiotherapy (CCRT), 369 patients received RT in the daytime (before 19:00) and 119 patients received RT in the evening (after 19:00). The grades of radiation esophagitis (Common Terminology Criteria for Adverse Events version 5.0) and survival outcomes were compared in the two groups. Analyses were performed by using ordinal logistic regression and Cox proportional hazard regression. Results The median follow-up was 27 months. In multivariate logistic regression models, evening treatment (after 19:00) (odds ratio, 1.660 [95% CI 1.094–2.518]), tumor length ≥ 5 cm (odds ratio, 1.632 [95% CI 1.102–2.416]), PGTV dose ≥ 59.34 Gy (odds ratio, 1.702 [95% CI 1.099–2.635]), female sex (odds ratio, 2.241 [95% CI 1.475–3.405]), and tumor location in cervical segment and upper thoracic (odds ratio, 1.665 [95% CI 1.043–2.658]) were associated with higher odds of radiation esophagitis. There was no difference in the overall survival (OS), locoregional relapse-free survival (LRFS), distant metastasis-free survival (DMFS), and progression-free survival (PFS) (all p > 0.05) between the daytime treatment group and evening treatment group. The results of the subgroup analysis showed that no significant difference was found in radiation esophagitis between the two groups with PGTV dose

Abstract This study aims to develop an efficient model to predict the arrears behavior of electricity users by integrating multi-scale feature learning with a backpropagation (BP) neural network. The goal is to provide accurate early warning systems and enhanced risk management tools for power companies. The BP neural network algorithm adjusts weights to minimize prediction errors, while multi-scale feature learning captures the diversity and regularity of user behavior by extracting data from various time dimensions, such as daily, weekly, and monthly intervals. First, electricity usage and weather data from the UMass Smart Dataset are preprocessed, including steps such as data cleaning, standardization, and normalization. Next, features are extracted across three time scales—daily, weekly, and monthly. These features are then input into the BP neural network model using the multi-scale feature learning method. A hierarchical neural network structure is designed to address the characteristics of different scales in distinct layers. Key model parameters are optimized, and a sensitivity analysis is conducted. The experimental results demonstrate that the BP neural network model incorporating multi-scale features outperforms traditional BP neural network models and other control models in several evaluation metrics. Specifically, the Gini coefficient is 0.55, the Kolmogorov-Smirnov statistic is 0.60, the Matthews correlation coefficient is 0.45, and specificity is 0.82. These results indicate that the proposed method offers significant improvements in capturing user behavior patterns and enhancing prediction accuracy. The study concludes that the effective fusion of multi-scale features not only enhances the model’s prediction performance but also strengthens its generalization ability. This method provides an advanced risk management tool for power companies, helping to increase the operational efficiency of smart grids and encouraging further research toward greater intelligence in the field.

Abstract Angioimmunoblastic T-cell lymphoma (AITL) is a kind of aggressive T-cell lymphoma with significant enrichment of non-malignant tumor microenvironment (TME) cells. However, the complexity of TME in AITL progression is poorly understood. We performed single-cell RNA-Seq (scRNA-seq) and imaging mass cytometry (IMC) analysis to compare the cellular composition and spatial architecture between relapsed/refractory AITL (RR-AITL) and newly diagnosed AITL (ND-AITL). Our results showed that the malignant T follicular helper (Tfh) cells showed significantly increased proliferation driven by transcriptional activation of YY1 in RR-AITL, which is markedly associated with the poor prognosis of AITL patients. The CD8+ T cell proportion and cytotoxicity decreased in RR-AITL TME, resulting from elevated expression of the inhibitory checkpoints such as PD-1, TIGIT, and CTLA4. Notably, the transcriptional pattern of B cells in RR-AITL showed an intermediate state of malignant transformation to B-cell-lymphoma, and contributed to immune evasion by highly expressing CD47 and PD-L1. Besides, compared to ND-AITL samples, myeloid-cells-centered spatial communities were more prevalent but showed reduced phagocytic activity and impaired antigen processing and presentation in RR-AITL TME. Furthermore, specific inhibitory ligand-receptor interactions, such as CLEC2D-KLRB1, CTLA4-CD86, and MIF-CD74, were exclusively identified in the RR-AITL TME. Our study provides a high-resolution characterization of the immunosuppression ecosystem and reveals the potential therapeutic targets for RR-AITL patients.

Abstract RNA velocity, as an extension of trajectory inference, is an effective method for understanding cell development using single-cell RNA sequencing (scRNA-seq) experiments. However, existing RNA velocity methods are limited by the batch effect because they cannot directly correct for batch effects in the input data, which comprises spliced and unspliced matrices in a proportional relationship. This limitation can lead to an incorrect velocity stream. This paper introduces VeloVGI, which addresses this issue innovatively in two key ways. Firstly, it employs an optimal transport (OT) and mutual nearest neighbor (MNN) approach to construct neighbors in batch data. This strategy overcomes the limitations of existing methods that are affected by the batch effect. Secondly, VeloVGI improves upon VeloVI’s velocity estimation by incorporating the graph structure into the encoder for more effective feature extraction. The effectiveness of VeloVGI is demonstrated in various scenarios, including the mouse spinal cord and olfactory bulb tissue, as well as on several public datasets. The results show that VeloVGI outperformed other methods in terms of metric performance.

Abstract Objective A preliminary clinical evaluation of the efficacy, comfort, and adverse reactions of two mandibular advancement devices (MADs) in the treatment of Obstructive Sleep Apnea (OSA). Methods Forty patients with mild-to-severe OSA were recruited and randomly divided into two groups. They were treated with Shark-fin or Silensor MAD, respectively. Treatment efficacy was evaluated by home sleep apnea tests, the snoring scale, Epworth Sleepiness Scale (ESS) and the Pittsburgh Sleep Quality Index (PSQI). A comfort scale questionnaire was applied. Cone beam computed tomography (CBCT), cephalometric radiography, and intraoral scanning were made before and after 3-month treatment to detect temporomandibular joints (TMJ), dental and skeletal changes. All data were assessed as normal distributed and analyzed by t test. The significance level was defined as α = 0.05. Results The effective rate, defined as a decrease in Respiratory Event Index (REI) to less than 5 events per hour or a decrease of more than 50%, was 70% in the Shark-fin MAD group and 50% in the Silensor MAD group. REI, lowest oxygen saturation and maximum apnea and hypoventilation time were significantly improved in Shark-fin MAD group (P 0.05). Conclusion Both two MADs were effective in reducing REI and increasing lowest oxygen saturation on OSA patients, and Shark-fin MAD has better improvement effect and faster onset of action. In addition, Shark-fin MAD was superior to Silensor MAD in improving snoring loudness, daytime sleepiness, sleep quality and wearing comfort. There were no significant dental or skeletal changes, and no alterations in occlusion or temporomandibular joint function in the short term. Trial registration Clinical Trials.gov Registration ID ChiCTR2400086628. Registered 08/07/ 2024-Retrospectively registered, https://register.clinicaltrials.gov .

Abstract Phytochrome-interacting factors (PIFs) belong to a subfamily of the bHLH transcription factor family and play a pivotal role in plant light signal transduction, hormone signal pathways, and the modulation of plant responses to various abiotic stresses. The soybean (Glycine max) is a significant food crop, providing essential oil and nutrients. Additionally, it is a vital industrial raw material and a lucrative cash crop. Nevertheless, research on PIFs in soybean is relatively scarce. In this study, we conducted a comprehensive analysis of the gene structure, chromosomal location, conserved motifs, phylogenetic relationships, and expression patterns of the Glycine max PIF (GmPIF) genes. A total of 20 GmPIF genes were identified in the soybean genome. These are unevenly distributed on 12 soybean chromosomes. The analysis of gene duplication events revealed the existence of five pairs of duplicated genes within the GmPIF gene set. Conserved motif analysis demonstrated the presence of several conserved motifs that were generally aligned with the classification of PIF protein. Cis-acting elements in the GmPIF promoters were found to be responsive to light, heat, drought, and phytohormone signaling. The expression levels of certain GmPIF genes were significantly induced under shade, high temperature and drought stress conditions. The heterologous expression of the GmPIF6c/GmPIL1 in an Arabidopsis mutant resulted in a reduction in the elongation of the hypocotyl in response to shade. It is proposed that GmPIF6c/GmPIL1 may exert an inhibitory effect on shade avoidance. This study elucidated the evolution, structural and functions of GmPIF family members. Clinical trial number Not applicable.

Abstract Background Rapid diagnosis of pulmonary tuberculosis (PTB) is urgently needed. We aimed to improve diagnosis rates by combining tuberculosis-interferon (IFN)-γ release assays (TB-IGRA) with metagenomic next-generation sequencing (mNGS) for PTB diagnosis. Methods A retrospective study of 29 PTB and 32 non-TB patients from our hospital was conducted between October 2022 and June 2023. Samples were processed for TB-IGRA and mNGS tests according to the manufacturer’s protocol. Results The levels of IFN-γ release in PTB patients were significantly higher than those in non-TB patients (604.15 ± 112.18 pg/mL, and 1.04 ± 0.38 pg/mL, respectively; p

Abstract Molecular recognition is a fundamental function of natural systems that ensures biological activity. This is achieved through the sieving effect, host-guest interactions, or both in biological environments. Recent advancements in multifunctional proteins reveal a new dimension of functional organization that goes beyond single-function molecular recognition, emphasizing the need for artificial multifunctional materials in industrial applications. Herein, we have designed a porous Ni4O4-cubane squarate coordination polymer as an artificial molecular recognition host, drawing inspiration from the structural and functional features of natural enzymes. A comprehensive assessment of the material’s ability to distinguish target species under different operating conditions was carried out. The results confirm its sieving function through hexane isomers separation, host-guest interaction function via xenon/krypton separation, and dual presence of sieving and interaction through carbon dioxide/nitrogen separation. Additionally, the material demonstrates good stability and feasibility for large-scale production, indicating its practical potential. Our findings provide a bio-inspired multifunctional recognition material for chemical separations as proof-of-concept while offering solutions to advance artificial multifunctional materials adaptable to other applications beyond chemical separations.

Abstract Ambient-condition acetylene hydrogenation to ethylene (AC-AHE) is a promising process for ethylene production with minimal additional energy input, yet remains a great challenge due to the difficulty in the coactivation of acetylene and H2 at room temperature. Herein, we report a highly efficient AC-AHE process over robust sulfur-confined atomic Pd species on tungsten sulfide surface. The catalyst exhibits over 99% acetylene conversion with a high ethylene selectivity of 70% at 25 oC, and a record space-time yield of ethylene of 1123 molC2H4 molPd −1 h−1 under ambient conditions, which is nearly four times that of the typical Pd1Ag3/Al2O3 catalyst, and exhibiting superior stability of over 500 h. We demonstrate that the confinement of Pd-S coordination induces positively-charged atomic Pdδ+, which not only facilitates C2H2 hydrogenation but also promotes C2H4 desorption, thereby enabling a high conversion of C2H2 to C2H4 at room temperature while suppressing over-hydrogenation to C2H6.

Abstract In the article, a new type boost high‐voltage nanosecond pulse generator is proposed. The distributed inductance of the transmission line is utilised as the energy storage unit and cooperated with the variable impedance transmission line transformer to generate nanosecond pulses with extremely high‐voltage gain. What’s more, the isolation effect caused by the transmission line time delay is applied to achieve modular stacking. The demand for charging power supply can be greatly reduced, and few switches are used. Finally, the topological principle is verified by experiments, and a prototype of the five‐stage stacking prototype is built. With the charging voltage of 28 V, the generator can output pulse with a voltage amplitude of 10 kV and pulse width of 12 ns whose voltage gain is up to 357 times.

The traditional quaternion is used as the description parameter of the nonlinear state model of the aircraft, and the accuracy of the attitude estimation is presented. A square root cubature Kalman filter algorithm based on quaternion is proposed. The algorithm takes the attitude quaternion error and the gyro drift error as the state quantity, and measures the attitude quaternion of SINS/SLAM navigation. The square root cubature Kalman filter algorithm is used for pose estimation, which not only solves the standardization problem of traditional quaternion, but also reduces the state dimension and complexity of the square root UKF algorithm of traditional quaternion, and improves the numerical stability.

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of B-cell non-Hodgkin’s lymphoma (NHL), up to 30%–40% of patients will relapse and 10%–15% of patients have primary refractory disease, so exploring new treatment options is necessary. Ferroptosis is a non-apoptotic cell death mode discovered in recent years. Its occurrence pathway plays an essential impact on the therapeutic effect of tumors. Numerous studies have shown that modulating critical factors in the ferroptosis pathway can influence the growth of tumor cells in hematological malignancies including DLBCL. This review highlights recent advances in ferroptosis-related genes (FRGs), including STAT3, Nrf2, and ZEB1, and focuses on the clinical potential of ferroptosis inducers such as IKE, α-KG, DMF, and APR-246, which are currently being explored in clinical studies for their therapeutic effects in DLBCL. Correlational studies provide a novel idea for the research and treatment of ferroptosis in DLBCL and other hematological malignancies and lay a solid foundation for future studies.

Objective Weight reduction is a common practice among female weightlifters before competitions to qualify for specific weight classes. However, this process can adversely affect their physical performance and health. This study aimed to investigate the impact of physiological and biochemical monitoring and nutritional support on the competitive state of female weightlifters during the pre-competition weight reduction period.Methods A randomized controlled trial was conducted with 28 female weightlifters from Sichuan Province, China, randomly assigned to the experimental group (n = 14) or the control group (n = 14). Both groups followed their regular training schedules. The experimental group received personalized nutritional monitoring and supplementation, including detailed assessments, dietary logs, weekly consultations, and targeted supplements based on biochemical indicators and training needs. The control group continued with their standard diet and training without additional interventions. Serum indicators, fatigue scales, and Pittsburgh Sleep Quality Index (PSQI) scores were monitored (a total of 5 tests).Results The experimental group exhibited a significant reduction in creatine kinase levels by the fourth week compared to both baseline and the first week (p

Abstract Background Plenty of clinical and biomedical research has unequivocally highlighted the tremendous significance of the human microbiome in relation to human health. Identifying microbes associated with diseases is crucial for early disease diagnosis and advancing precision medicine. Results Considering that the information about changes in microbial quantities under fine-grained disease states helps to enhance a comprehensive understanding of the overall data distribution, this study introduces MSignVGAE, a framework for predicting microbe-disease sign associations using signed message propagation. MSignVGAE employs a graph variational autoencoder to model noisy signed association data and extends the multi-scale concept to enhance representation capabilities. A novel strategy for propagating signed message in signed networks addresses heterogeneity and consistency among nodes connected by signed edges. Additionally, we utilize the idea of denoising autoencoder to handle the noise in similarity feature information, which helps overcome biases in the fused similarity data. MSignVGAE represents microbe-disease associations as a heterogeneous graph using similarity information as node features. The multi-class classifier XGBoost is utilized to predict sign associations between diseases and microbes. Conclusions MSignVGAE achieves AUROC and AUPR values of 0.9742 and 0.9601, respectively. Case studies on three diseases demonstrate that MSignVGAE can effectively capture a comprehensive distribution of associations by leveraging signed information.

BackgroundGastric cancer (GC) remains a malignancy with high incidence and mortality rates worldwide. Although branched-chain amino acids (BCAAs) play a crucial role in various physiological and pathological processes, their specific relationship with risk of GC remains unclear.MethodsWe conducted a large-scale prospective cohort from UK Biobank database. We evaluated the relationship between BCAA levels and risk of GC using Cox regression, Kaplan–Meier survival curves, the accelerated failure time (AFT) model, and restricted cubic spline (RCS) analysis.ResultsDuring the follow-up of 12 years, 247,753 participants were included in the study. And the Cox regression analysis revealed that higher levels of isoleucine (HR = 0.65, 95% CI 0.48–0.89; p = 0.007), leucine (HR = 0.57, 95% CI 0.42–0.79; p

Objectives There are differing opinions and findings about the accuracy of self-reported data. This study sought to assess the accuracy of self-reported height, weight, and waist circumference (WC) data among adult residents in poor, rural areas of China. Methods Multi-stage stratified cluster random sampling was used to sample rural adult residents in Jinzhai County. Intraclass correlations (ICCs), Bland-Altman plots with limits of agreements (LOAs), and Cohen’s kappa were used to examine the accuracy of self-reported data. Multiple linear regression was used to explore the effect of demographic and socioeconomic variables. Results Height was over-reported by an average of 0.67 cm, weight and WC were both under-reported, by an average of 0.004 kg and 1.09 cm, respectively. The ICC for height was 0.92, the ICC for weight was 0.93, and the ICC for WC was 0.93. Bland-Altman plots showed no trend in variability with increasing height, weight, and WC, but 95% of the LOAs were wide, especially for WC. The percentage agreement (kappa) for BMI was 82.10% (0.71), and the percentage agreement for WC was 83.56% (0.66). Overall, obesity, overweight, and increased WC were underestimated by 0.56%, 2.64%, and 6.89%, respectively. Assessments of which demographic and socioeconomic factors were associated with statistically significant differences between self-reported and measured data showed that education (junior school vs. primary or below: β = −0.56, 95% CI [−1.01 to −0.11]) and occupation (others vs. professionals: β = 2.16, 95% CI [0.62–3.70]) were associated with differences between measured and self-reported height; occupation (industrial and commercial service vs. professionals: β = 1.57, 95% CI [0.52–2.61]) was associated with differences between measured and self-reported weight; and gender (women vs. men: β = −1.74, 95% CI [−2.51 to −0.97]) and age (60– vs. 18–44: β = −1.62, 95% CI [−2.88 to −0.36]) were associated with differences between measured and self-reported WC. Conclusions Self-reported height and weight were shown to be reliable in poor, rural areas of China, but self-reported WC should be used with caution. To improve the accuracy of self-reported data, certain subgroups should be targeted for educational interventions.

ABSTRACT Background emergence of multidrug-resistant (MDR) bacterial strains is a public health concern that threatens global and regional security. Efflux pump-overexpressing MDR strains from clinical isolates are the best subjects for studying the mechanisms of MDR caused by bacterial efflux pumps. A Klebsiella pneumoniae strain overexpressing the OqxB-only efflux pump was screened from a clinical strain library to explore reverse OqxB-mediated bacterial resistance strategies. We identified non-repetitive clinical isolated K. pneumoniae strains using a matrix-assisted laser desorption/ionization time-of-flight (TOF) mass spectrometry clinical TOF-II (Clin-TOF-II) and susceptibility test screening against levofloxacin and ciprofloxacin. And the polymorphism analysis was conducted using pulsed-field gel electrophoresis. Efflux pump function of resistant strains is obtained by combined drug sensitivity test of phenylalanine-arginine beta-naphthylamide (PaβN, an efflux pump inhibitor) and detection with ethidium bromide as an indicator. The quantitative reverse transcription PCR was performed to assess whether the oqxB gene was overexpressed in K. pneumoniae isolates. Additional analyses assessed whether the oqxB gene was overexpressed in K. pneumoniae isolates and gene knockout and complementation strains were constructed. The binding mode of PaβN with OqxB was determined using molecular docking modeling. Among the clinical quinolone-resistant K. pneumoniae strains, one mediates resistance almost exclusively through the overexpression of the resistance–nodulation–division efflux pump, OqxB. Crystal structure of OqxB has been reported recently by N. Bharatham, P. Bhowmik, M. Aoki, U. Okada et al. (Nat Commun 12:5400, 2021, https://doi.org/10.1038/s41467-021-25679-0). The discovery of this strain will contribute to a better understanding of the role of the OqxB transporter in K. pneumoniae and builds on the foundation for addressing the threat posed by quinolone resistance.IMPORTANCEThe emergence of antimicrobial resistance is a growing and significant health concern, particularly in the context of K. pneumoniae infections. The upregulation of efflux pump systems is a key factor that contributes to this resistance. Our results indicated that the K. pneumoniae strain GN 172867 exhibited a higher oqxB gene expression compared to the reference strain ATCC 43816. Deletion of oqxB led a decrease in the minimum inhibitory concentration of levofloxacin. Complementation with oqxB rescued antibiotic resistance in the oqxB mutant strain. We demonstrated that the overexpression of the OqxB efflux pump plays an important role in quinolone resistance. The discovery of strain GN 172867 will contribute to a better understanding of the role of the OqxB transporter in K. pneumoniae and promotes further study of antimicrobial resistance.

ObjectiveThis study aims to investigate the changes in physiological performance, mental state and sleep quality during the weight reduction phase prior to competition in male freestyle wrestlers.MethodsThis study included 16 male freestyle wrestlers from Sichuan Province, China. Participants were evaluated at three time points: the first day of slow weight reduction (T1, March 26), the first day of rapid weight reduction (T2, April 26) and the day before the competition (T3, May 3), and measurements were taken for physiological performance, mood state and sleep quality.ResultsThe most relevant findings indicated the following: Morning heart rate, creatine kinase and fatigue scores increased by 12.6, 64.6, and 19.0%, respectively, from T1 to T2 (p

Skeletal muscle aging in rats is a reduction in skeletal muscle mass caused by a decrease in the number or volume of skeletal muscle myofibers. Apoptosis has been recognized to play a key role in accelerating the process of skeletal muscle aging in rats. The thioredoxin (Trx) system is a widely expressed oxidoreductase system that controls the cellular reduction/oxidation state and has both potent anti-free radical damage and important pro-growth and apoptosis inhibitory functions. Previous studies have shown that exercise delays skeletal muscle aging. However, it is unclear whether exercise attenuates skeletal muscle aging via the Trx system. Therefore, the present study used the Trx system as an entry point to explore the effect of aerobic exercise to improve skeletal muscle aging in rats and its possible mechanisms, and to provide a theoretical basis for exercise to delay skeletal muscle aging in rats. It was shown that aerobic exercise in senescent rats resulted in increased gastrocnemius index, decreased body weight, increased endurance, decreased skeletal muscle cell apoptosis, increased activity and protein expression of the Trx system, and decreased expression of p38 and ASK1. Based on these findings, we conclude that 10 weeks of aerobic exercise may enhance the anti-apoptotic effect of Trx by up-regulating Trx and Trx reductase (TR) protein expression, which in turn increases Trx activity in rat skeletal muscle, and ultimately alleviates apoptosis in senescent skeletal muscle cells.

Abstract Background Mycoplasma pneumoniae (MP) is a common respiratory pathogen affecting the longevity of the elderly and the health of children. However, the human vaccine against MP has not been successfully developed till now due to the poor immunogenicity and side effects of MP inactivated or attenuated vaccine. Therefore, it is necessary to develop a MP genetic engineering vaccine with influenza virus strain as vector. Methods In this study, the major antigen genes P1a of MP adhesion factor P1(3862‐4554 bases) and P30a of P30(49‐822 bases) were inserted into the nonstructural protein (NS) gene of Influenza A virus strain A/Puerto Rio/8/34(H1N1), PR8 for short, to construct the recombinant vectors NS‐P1a or NS‐P30a. The recombinant pHW2000 plasmids containing NS‐P1a or NS‐P30a were cotransfected with the rest 7 fragments of PR8 into HEK293T cells. After inoculating chicken embryos, the recombinant influenza viruses rFLU‐P1a and rFLU‐P30a were rescued. RT‐PCR and sequencing were used to identify the recombinant viruses. The hemagglutination titers of rFLU‐P1a and rFLU‐P30a were determined after five successive generations in chicken embryos so as to indicate the genetic stability of the recombinant viruses. The morphology of recombinant influenza viruses was observed under electron microscopy. Results P1a or P30a was designed to be inserted into the modified NS gene sequence separately and synthesized successfully. RT‐PCR identification of the recombinant viruses rFLU‐P1a and rFLU‐P30a showed that P1a (693 bp), P30a (774 bp), NS‐P1a (1992bp) and NS‐P30a (2073 bp) bands were found, and the sequencing results were correct. After five successive generations, each virus generation has a certain hemagglutination titer (from 1:32 to 1:64), and the band of P1a or P30a can be seen in the corresponding positions. The virus particles under the electron microscope appeared as spheres or long strips connected by several particles, revealing a complete viral membrane structure composed of virus lipid bilayer, hemagglutinin, neuraminidase, and matrix proteins. Conclusion The recombinant viruses rFLU‐P1a and rFLU‐P30a which carried the advantaged immune regions of the P1 and P30 genes in MP were successfully constructed and identified. And the genetic stability of rFLU‐P1a or rFLU‐P30a was relatively high. The typical and complete morphology of influenza virus was observed under the electron microscope. Our research provided a foundation for the further development of MP vaccines for human.

Intercropping can improve light interception and crop yield on limited farmlands. The light interception rate in intercropping is determined by row configuration. Quantifying the spatio-temporal light interception of intercrops is very important for improving crop yields by optimizing the row configuration. A two-year field experiment was conducted at two sites to quantify the responses of the light interception rate of intercrops to five treatments: two rows of maize alternated with three rows of soybean (2M3S), two rows of maize alternated four rows of soybean (2M4S), two rows of maize alternated five rows of soybean (2M5S), sole soybean (SS), and sole maize (SM). We developed a multiple regression model based on the sine of the solar elevation angle (sin(h)) and crop leaf area density (LAD) to quantify the spatio-temporal light interception of intercrops. The predicted light interception rate was positively correlated with the measured values of photosynthetically active radiation (R2 > 0.814) and dry matter (R2 > 0.830). Increasing soybean rows led to an increase in light interception of both soybean and the lower layer of maize. However, this also resulted in a decrease in light interception in the upper layer of maize. At the two sites, compared to 2M3S, the annual average cumulative light interception of soybean in 2M5S increased by 44.73% and 47.18%, that of the lower layer of maize in 2M5S increased by 9.25% and 8.04%, and that of whole canopy of maize decreased by 13.77% and 17.74% respectively. The changes in dry matter and yield of intercrops were consistent with the change in light interception, which further verified the high accuracy of the light interception model. The annual average maize yield of 2M5S was 6.03% and 6.16% lower but the soybean yield was 23.69% and 28.52% higher than that of 2M3S. On the basis of system yield, the best performance was recorded in 2M4S at the two sites. In summary, the newly created light interception model performs well in the quantification of the temporal and spatial changes in crop light interception in strip intercropping and has potential applications in other configurations. Optimizing row configurations across climatic regions to enhance light interception and yield at the system level will become a future target.

Abstract Objective This study aimed to identify features of white matter network attributes based on diffusion tensor imaging (DTI) that might lead to progression from mild cognitive impairment (MCI) and construct a comprehensive model based on these features for predicting the population at high risk of progression to Alzheimer’s disease (AD) in MCI patients. Methods This study enrolled 121 MCI patients from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Among them, 36 progressed to AD after four years of follow-up. A brain network was constructed for each patient based on white matter fiber tracts, and network attribute features were extracted. White matter network features were downscaled, and white matter markers were constructed using an integrated downscaling approach, followed by forming an integrated model with clinical features and performance evaluation. Results APOE4 and ADAS scores were used as independent predictors and combined with white matter network markers to construct a comprehensive model. The diagnostic efficacy of the comprehensive model was 0.924 and 0.919, sensitivity was 0.864 and 0.900, and specificity was 0.871 and 0.815 in the training and test groups, respectively. The Delong test showed significant differences (P 0.05) between the combined model and white matter network biomarkers. Conclusions A comprehensive model constructed based on white matter network markers can identify MCI patients at high risk of progression to AD and provide an adjunct biomarker helpful in early AD detection.

The reaction behavior between the carbon and mold fluxes during the heating process is vital for a successful continuous casting process and the high billet quality. A detailed investigation combined with thermogravimetry-mass spectrometry (TG-MS), differential scanning calorimetry (DSC), X-ray diffraction (XRD), scanning electron microscopy (SEM), Raman spectroscopy, and transmission electron microscopy (TEM) techniques was carried out to systematically investigate the transformation mechanistic of the macro physicochemical properties, melting behavior, viscosity, crystallization, and heat transfer performance caused by the reaction behavior. The results showed that the mold flux underwent carbonate decomposition (973–1223 K), solid reaction (1273–1573 K), and melting process (1473–1673 K) during the continuous casting process. The carbon-bearing mold flux exhibited an endothermic peak at approximately 1673 K, corresponding to a weight loss ratio of approximately 14.5% on the TG curve, confirming that carbon could react with the middle mineral phases Ca2SiO4, Ca2Al2SiO7, and Na6Ca3Si6O18 to form SiC, increasing the breaking temperature by approximately 293 K. SEM and TEM results indicated that the melting behavior was restrained by the carbon itself and the newly formed components. Besides, the addition of carbon increased the degree of polymerization of molten slag, the thickness of slag film and the proportion of small crystals in slag film, further leading to an increase in crystallization and heat transfer performances. The reaction mechanism between carbon and slag and the subsequent effects on melting point, viscosity, crystallization ratio and heat flux density were clearly understood, which is meaningful for the carbon blending process of the mold flux.

Abstract Tryptophan (Trp) metabolism plays a crucial role in influencing the development of digestive system tumors. Dysregulation of Trp and its metabolites has been identified in various digestive system cancers, including esophageal, gastric, liver, colorectal, and pancreatic cancers. Aberrantly expressed Trp metabolites are associated with diverse clinical features in digestive system tumors. Moreover, the levels of these metabolites can serve as prognostic indicators and predictors of recurrence risk in patients with digestive system tumors. Trp metabolites exert their influence on tumor growth and metastasis through multiple mechanisms, including immune evasion, angiogenesis promotion, and drug resistance enhancement. Suppressing the expression of key enzymes in Trp metabolism can reduce the accumulation of these metabolites, effectively impacting their role in the promotion of tumor progression and metastasis. Strategies targeting Trp metabolism through specific enzyme inhibitors or tailored drugs exhibit considerable promise in enhancing therapeutic outcomes for digestive system tumors. In addition, integrating these approaches with immunotherapy holds the potential to further enhance treatment efficacy.

Abstract Plasmodiophora brassicae is one of the biggest threats to cruciferous plants and one of the most economically significant diseases worldwide. However, our current understanding of its pathogenic mechanisms remains limited. In this study, we have identified an effector, Pb257, which plays a crucial role in the virulence of P. brassicae. The expression pattern analysis revealed continuous induction of Pb257 during both primary and secondary infections. Ectopic expression of Pb257 strongly triggered cell death in Nicotiana benthamiana and several other plants, which was dependent on SOBIR1 and the salicylic acid pathway but not BAK1, a central molecular regulator, to mediate classical defense pathways. Overexpression of Pb257 increased susceptibility of Brassica rapa to P. brassicae. Silencing of the Pb257-encoding gene led to reduce root swelling. Further investigation showed that the conserved GOLD domain within Pb257 was essential for inducing root enlargement, which is similar to the mild symptoms of clubroot, indicating that it is an important effector for promoting root cell enlargement. GOLD domain-containing family proteins were widely present in the kingdoms of protozoa, fungi, and animalia, and Pb257 was clustered into a clade of protozoa, suggesting the encoding gene as a potential marker gene for classification of P. brassicae. The GOLD domain-containing proteins are known regulators involved in human cell proliferation and immune system disruption, however, no previous reports have described a pathogen-derived GOLD domain protein with elicitor activity. Our findings demonstrate that Pb257 functions as a crucial effector contributing to the virulence of P. brassicae and could be used as a potential molecular target for controlling clubroot disease.

Metal–organic frameworks (MOFs) represent a category of crystalline materials formed by the combination of metal ions or clusters with organic linkers, which have emerged as a prominent research focus in the field of photocatalysis. Owing to their distinctive characteristics, including structural diversity and configurations, significant porosity, and an extensive specific surface area, they provide a flexible foundation for various potential applications in photocatalysis. In recent years, researchers have tackled many issues in the MOF-based photocatalytic yield. However, limited light adsorption regions, lack of active sites and active species, and insufficient efficiency of photogenerated charge carrier separation substantially hinder the photocatalytic performance. In this review, we summarized the strategies to improve the photocatalytic performance and recent developments achieved in MOF and MOF-based photocatalysis, including water splitting, CO2 conversion, photocatalytic degradation of pollutants, and photocatalytic nitrogen fixation into ammonia. In conclusion, the existing challenges and prospective advancements in MOF-based photocatalysis are also discussed.

ObjectiveThis study investigated the relationships between job pressure, occupational burnout, organizational support and coping strategies among competitive sports coaches in Sichuan Province, China. It also assesses the impact of job pressure on occupational burnout and the mediating roles of organizational support and coping strategies.MethodsA survey was conducted with 207 competitive sports coaches from Sichuan Province, China. Basic information and data on job pressure, occupational burnout, organizational support and coping strategies were collected. Correlations between variables were analyzed, and a theoretical model for hypothesizing the mediating effects was established. A multiple regression model was used to predict the relationships between occupational burnout and job pressure, organizational support and coping strategies.Results(1) Job pressure was significantly positively correlated with occupational burnout (R = 0.436, p

Among primary liver cancers, hepatocellular carcinoma is the most common pathological type. Its onset is insidious, and most patients have no obvious discomfort in the early stage, so it is found late, and the opportunity for surgical radical treatment is lost, resulting in a poor prognosis. With the introduction of molecular-targeted drugs represented by sorafenib, patients with middle- and late-stage liver cancer have regained the light of day. However, their therapeutic efficacy is relatively low due to the limited target of drug action, toxic side effects, and other reasons. At this time, the emergence of immunotherapy represented by immune checkpoint inhibitors (ICIs) well breaks this embarrassing situation, which mainly achieves the anti-tumor purpose by improving the tumor immune microenvironment. Currently, ICI monotherapy, as well as combination therapy, has been widely used in the clinic, further prolonging the survival of patients with advanced hepatocellular carcinoma. This article reviews the development of monotherapy and combination therapy for ICIs in advanced hepatocellular carcinoma and the latest research progress.

Abstract Background Lymphoma is the most common secondary cause of hemophagocytic lymphohistiocytosis (HLH) in adults. Lymphoma‐associated HLH (LA‐HLH) in the elderly population is not rare, however, little has been reported regarding clinicopathological characteristics, prognostic factors, and outcomes of LA‐HLH in the elderly population. Methods We retrospectively analyzed a multicenter cohort of elderly patients with LA‐HLH. Clinicopathological features and treatment information were collected. The impacts of baseline characteristics and treatments on survival outcomes were analyzed. Results A total of 173 elderly patients with LA‐HLH were included. Compared with young patients, elderly patients showed different clinical and laboratory features. Regarding lymphoma subtypes, B‐cell lymphoma was more common in elderly patients (elderly 61.3% vs. young 32.3%, p 1407 U/L), and a higher creatinine level (>96.8 μmol/L) were independent predictors of decreased overall survival and 60‐day survival. A prognostic index was established and demonstrated to be robust in predicting the overall survival and 60‐day survival of elderly patients with LA‐HLH. Conclusions LA‐HLH in elderly patients displayed heterogeneous clinicopathological features and survival outcomes. Treatments need to be optimized to improve the outcomes of elderly patients with LA‐HLH.

IntroductionSoybeans are an important crop used for food, oil, and feed. However, China’s soybean self-sufficiency is highly inadequate, with an annual import volume exceeding 80%. RGB cameras serve as powerful tools for estimating crop yield, and machine learning is a practical method based on various features, providing improved yield predictions. However, selecting different input parameters and models, specifically optimal features and model effects, significantly influences soybean yield prediction.MethodsThis study used an RGB camera to capture soybean canopy images from both the side and top perspectives during the R6 stage (pod filling stage) for 240 soybean varieties (a natural population formed by four provinces in China: Sichuan, Yunnan, Chongqing, and Guizhou). From these images, the morphological, color, and textural features of the soybeans were extracted. Subsequently, feature selection was performed on the image parameters using a Pearson correlation coefficient threshold ≥0.5. Five machine learning methods, namely, CatBoost, LightGBM, RF, GBDT, and MLP, were employed to establish soybean yield estimation models based on the individual and combined image parameters from the two perspectives extracted from RGB images.Results(1) GBDT is the optimal model for predicting soybean yield, with a test set R2 value of 0.82, an RMSE of 1.99 g/plant, and an MAE of 3.12%. (2) The fusion of multiangle and multitype indicators is conducive to improving soybean yield prediction accuracy.ConclusionTherefore, this combination of parameters extracted from RGB images via machine learning has great potential for estimating soybean yield, providing a theoretical basis and technical support for accelerating the soybean breeding process.

Abstract Background Small extracellular vesicles (sEVs) mediate intercellular communication that contributes to hepatocellular carcinoma (HCC) progression via multifaceted pathways. The success of cell entry determines the effect of sEV on recipient cells. Here, we aimed to delineate the mechanisms underlying the uptake of sEV in HCC. Methods Macropinocytosis was examined by the ability of cells to internalize dextran and sEV. Macropinocytosis was analyzed in Na(+)/H(+) exchanger 7 (NHE7)‐knockdown and ‐overexpressing cells. The properties of cells were studied using functional assays. pH biosensor was used to evaluate the intracellular and endosomal pH. The expression of NHE7 in patients’ liver tissues was examined by immunofluorescent staining. Inducible silencing of NHE7 in established tumors was performed to reveal the therapeutic potential of targeting NHE7. Results The data revealed that macropinocytosis controlled the internalization of sEVs and their oncogenic effect on recipient cells. It was found that metastatic HCC cells exhibited the highest efficiency of sEV uptake relative to normal liver cells and non‐metastatic HCC cells. Attenuation of macropinocytic activity by 5‐(N‐ethyl‐N‐isopropyl)‐amiloride (EIPA) limited the entry of sEVs and compromised cell aggressiveness. Mechanistically, we delineated that high level of NHE7, a sodium‐hydrogen exchanger, alkalized intracellular pH and acidized endosomal pH, leading to the maturation of macropinosomes. Inducible inhibition of NHE7 in established tumors developed in mice delayed tumor development and suppressed lung metastasis. Clinically, NHE7 expression was upregulated and linked to dismal prognosis of HCC. Conclusions This study advances the understanding that NHE7 enhances sEV uptake by macropinocytosis to promote the malignant properties of HCC cells. Inhibition of sEV uptake via macropinocytosis can be exploited as a treatment alone or in combination with conventional therapeutic approaches for HCC.

Abstract Bacterial cystitis, a commonly occurring urinary tract infection (UTI), is renowned for its extensive prevalence and tendency to recur. Despite the extensive utilization of levofloxacin as a conventional therapeutic approach for bacterial cystitis, its effectiveness is impeded by adverse toxic effects, drug resistance concerns, and its influence on the gut microbiota. This study introduces Lev@PADM, a hydrogel with antibacterial properties that demonstrates efficacy in the treatment of bacterial cystitis. Lev@PADM is produced by combining levofloxacin with decellularized porcine acellular dermal matrix hydrogel and exhibits remarkable biocompatibility. Lev@PADM demonstrates excellent stability as a hydrogel at body temperature, enabling direct administration to the site of infection through intravesical injection. This localized delivery route circumvents the systemic circulation of levofloxacin, resulting in a swift and substantial elevation of the antimicrobial agent’s concentration specifically at the site of infection. The in vivo experimental findings provide evidence that Lev@PADM effectively prolongs the duration of levofloxacin’s action, impedes the retention and invasion of E.coli in the urinary tract, diminishes the infiltration of innate immune cells into infected tissues, and simultaneously preserves the composition of the intestinal microbiota. These results indicate that, in comparison to the exclusive administration of levofloxacin, Lev@PADM offers notable benefits in terms of preserving the integrity of the bladder epithelial barrier and suppressing the recurrence of urinary tract infections. Graphical Abstract

Abstract The ventilation work is an important step to be completed before the start of the positive pressure explosion-proof robot. The existing explosion-proof technology uses constant pressure inflation, which will cause explosive gas to accumulate in the corner area of the cavity for a long time. In order to solve this problem, a ventilation method with periodic pulse intake is proposed. Based on the finite element method, the cleaning and ventilation process of the positive pressure explosion-proof robot is simulated and analyzed. The concentration of explosive gas in the robot cavity with time under constant pressure intake and pulse intake with different periods and amplitudes is compared. The simulation results show that the pulse intake is beneficial to the ventilation of the corner position. The period and amplitude of the pulse intake has an effect on the ventilation efficiency, when the period is the same, the greater the amplitude of the pulse intake, the higher the ventilation efficiency; when the amplitude is the same, the smaller the period of the pulse intake, the higher the ventilation efficiency. After experimental verification, the validity of the simulation results is proved. This study helps to improve the ventilation efficiency of positive-pressure explosion-proof robots and provides guidance for practical applications.

Abstract Background A single injection of local anaesthetic (LA) in the erector spinae plane block (ESPB) can reduce pain after modified radical mastectomy (MRM) surgery, but the duration of analgesia is affected by the duration of the LA. The aim of this study is to investigate the effect of continuous ESPB on acute and chronic pain and inflammatory response after MRM surgery. Methods In this prospective, randomised, controlled trial, we will recruit 160 patients, aged 18–80 years, scheduled for elective MRM surgery under general anaesthesia. They will be randomly assigned to two groups: a continuous ESPB group (group E) and a sham block group (group C). Both groups of patients will have a nerve block (group C pretended to puncture) and an indwelling catheter fixed prior to surgery. Electronic pumps containing LA are shielded. The primary outcome is the total consumption of analgesic agents. The secondary outcomes include the levels of inflammation-related cytokines; the occurrence of chronic pain (post-mastectomy pain syndrome, PMPS); static and dynamic pain scores at 2, 6, 12, 24 and 48 h postoperatively; and post-operative and post-puncture adverse reactions. Discussion Analgesia after MRM surgery is important and chronic pain can develop when acute pain is prolonged, but the analgesic effect of a nerve block with a single injection of LA is limited by the duration of drug action. The aim of this trial is to investigate whether continuous ESPB can reduce acute pain after MRM surgery and reduce the incidence of chronic pain (PMPS), with fewer postoperative analgesic drug-related complications and less inflammatory response. Continuous ESPB and up to 12 months of follow-up are two innovations of this trial. Trial registration Chinese Clinical Trial Registry ( https://www.chictr.org.cn/ ) ChiCTR2200061935. Registered on 11 July 2022. This trial is a prospective registry with the following registry names: Effect of ultrasound-guided continuous erector spinae plane block on postoperative pain and inflammatory response in patients undergoing modified radical mastectomy for breast cancer.

Objectives. Until now, limited knowledge remains regarding the association among childhood obesity, cognitive behavior, and brain networks. Utilizing a publicly available dataset, we aimed to investigate the relationships between childhood obesity and functional networks during the stop-signal task. Results. Given the huge conflict-monitoring and inhibitory control demands of the task, both enhanced network connectivity and properties were observed under the “No-go” compared to the “Go” condition for both obese and non-obese preadolescents. Obese preadolescents exhibited significantly increased frontal-parietal, frontal-occipital, and frontal-temporal linkages, as well as heightened network efficiency under both “Go” and “No-go” conditions compared to non-obese counterparts. Additionally, significant correlations were found between network connectivity and properties and preadolescents’ body mass index (BMI), with their combination predicting BMI scores successfully. Conclusions. These findings support that childhood obesity is not simply a deviant habit with restricted physical health consequences, but rather associated with the atypical development of frontal-based networks involved in inhibitory control and cognitive performance.

Chlorophyll is a vital component of photosynthesis and must be produced throughout the plant life cycle. Light-dependent protochlorophyllide oxidoreductase (LPOR) is a pivotal enzyme in the chlorophyll biosynthesis pathway, catalyzing the conversion of Pchlide to Chlide. The presence of different types of LPOR ensures the efficient synthesis of chlorophyll in photosynthetic organisms during the dark-light transition. In addition to the transcriptional, translational, and post-translational regulation of LPOR function under different abiotic stresses, the nature of the substrate also influences LPOR function. Here, a perspective on chlorophyll synthesis and the development of chloroplasts is offered, the importance of LPOR in safeguarding plant light energy utilization is summarized, the gene expression pattern and structural-functional features of LPOR are outlined, as well as the role of LPOR in abiotic stress tolerance response, the catalytic mechanism of LPOR as well as the modulation of LPOR by light signals and other environmental factors are discussed. The aim is to provide references for the cultivation and innovation of plant germplasm resources with stress tolerance.

Abstract Objective To discuss the value of computed tomography (CT) iterative reconstruction technique combined with target scanning in the diagnosis of solid pseudopapillary tumor of the pancreas (SPTP). Methods The clinical information and CT examination data of 27 patients with SPTP were retrospectively analyzed, and the general condition and CT performance of the patients were observed. The CT image reconstruction algorithm of all patients used iterative reconstruction technique combined with the application of target scanning technique. Results A total of 27 patients were included in this study, including 6 males and 21 females, aged 14–72 years with a mean age of 39.6 ± 13.6 years. SPTP was more common in young and middle-aged females, with a low level of tumor markers, dominated by cystic-solid tumors. The combination of CT iterative reconstruction technology and targeted scanning revealed the following: the capsule of SPTP was clear and complete, where calcifications were visible, solid components were progressively enhanced, and rare pancreatic and bile duct dilation was seen. Tumors were cystic-solid in 18 of 27 patients with SPTP, of which the solid components showed isodensity or slightly low-density, with calcifications. The solid components and cyst walls were mildly enhanced during the arterial phase, and were progressively enhanced during the parenchymal phase, portal vein phase, and delayed phase, with their enhancement degree lower than that of normal pancreatic parenchyma, and pancreatic and bile duct dilation was rare. There were no statistical differences in tumor location, morphology, growth pattern, integrity of capsule, cystic or solid, calcifications, and enhancement features between the male group and the female group (P > 0.05). Conclusion The iterative reconstruction combined with target scanning clearly displayed the CT features of tumors, helping the diagnosis and clinical treatment of the disease.

Abstract Background Enormous clinical and biomedical researches have demonstrated that microbes are crucial to human health. Identifying associations between microbes and diseases can not only reveal potential disease mechanisms, but also facilitate early diagnosis and promote precision medicine. Due to the data perturbation and unsatisfactory latent representation, there is a significant room for improvement. Results In this work, we proposed a novel framework, Multi-scale Variational Graph AutoEncoder embedding Wasserstein distance (MVGAEW) to predict disease-related microbes, which had the ability to resist data perturbation and effectively generate latent representations for both microbes and diseases from the perspective of distribution. First, we calculated multiple similarities and integrated them through similarity network confusion. Subsequently, we obtained node latent representations by improved variational graph autoencoder. Ultimately, XGBoost classifier was employed to predict potential disease-related microbes. We also introduced multi-order node embedding reconstruction to enhance the representation capacity. We also performed ablation studies to evaluate the contribution of each section of our model. Moreover, we conducted experiments on common drugs and case studies, including Alzheimer’s disease, Crohn’s disease, and colorectal neoplasms, to validate the effectiveness of our framework. Conclusions Significantly, our model exceeded other currently state-of-the-art methods, exhibiting a great improvement on the HMDAD database.

Spoofing attacks (or Presentation Attacks) are easily accessible to facial recognition systems, making the online financial system vulnerable. Thus, it is urgent to develop an anti-spoofing solution with superior generalization ability due to the high demand for spoofing attack detection. Although multi-modality methods such as combining depth images with RGB images and feature fusion methods could currently perform well with certain datasets, the cost of obtaining the depth information and physiological signals, especially that of the biological signal is relatively high. This paper proposes a representation learning method of an Auto-Encoder structure based on Swin Transformer and ResNet, then applies cross-entropy loss, semi-hard triplet loss, and Smooth L1 pixel-wise loss to supervise the model training. The architecture contains three parts, namely an Encoder, a Decoder, and an auxiliary classifier. The Encoder part could effectively extract the features with patches’ correlations and the Decoder aims to generate universal “Clue Maps” for further contrastive learning. Finally, the auxiliary classifier is adopted to assist the model in making the decision, which regards this result as one preliminary result. In addition, extensive experiments evaluated Attack Presentation Classification Error Rate (APCER), Bonafide Presentation Classification Error Rate (BPCER) and Average Classification Error Rate (ACER) performances on the popular spoofing databases (CelebA, OULU, and CASIA-MFSD) to compare with several existing anti-spoofing models, and our approach could outperform existing models which reach 1.2% and 1.6% ACER on intra-dataset experiment. In addition, the inter-dataset on CASIA-MFSD (training set) and Replay-attack (Testing set) reaches a new state-of-the-art performance with 23.8% Half Total Error Rate (HTER).

Abstract Background Although chronic inflammation, oxidative stress, airway remodeling, and protease-antiprotease imbalance have been implicated in chronic obstructive pulmonary disease (COPD), the exact pathogenesis is still obscure. Gene transcription and post-transcriptional regulation have been taken into account as key regulators of COPD occurrence and development. Identifying the hub genes and constructing biological regulatory networks at the post-transcriptional level will help extend current knowledge on COPD pathogenesis and develop potential drugs. Methods All lung tissues from non-smokers (n = 6), smokers without COPD (smokers, n = 7), and smokers with COPD (COPD, n = 7) were collected to detect messenger RNA (mRNA), microRNA (miRNA), circular RNA (circRNA), and long non-coding RNA (lncRNA) expression and identify the hub genes. Biological regulatory networks were constructed at the post-transcriptional level, including the RNA-binding protein (RBP)-hub gene interaction network and the competitive endogenous RNA (ceRNA) network. In addition, we assessed the composition and abundance of immune cells in COPD lung tissue and predicted potential therapeutic drugs for COPD. Finally, the hub genes were confirmed at both the RNA and protein levels. Results Among the 20 participants, a total of 121169 mRNA transcripts, 1871 miRNA transcripts, 4244 circRNA transcripts, and 122130 lncRNA transcripts were detected. There were differences in the expression of 1561 mRNAs, 48 miRNAs, 33 circRNAs, and 545 lncRNAs between smokers and non-smokers, as well as 1289 mRNAs, 69 miRNAs, 32 circRNAs, and 433 lncRNAs between smokers and COPD patients. 18 hub genes were identified in COPD. TGF-β signaling and Wnt/β-catenin signaling may be involved in the development of COPD. Furthermore, the circRNA/lncRNA-miRNA-mRNA ceRNA networks and the RBP-hub gene interaction network were also constructed. Analysis of the immune cell infiltration level revealed that M2 macrophages and activated NK cells were increased in COPD lung tissues. Finally, we identified that the ITK inhibitor and oxybutynin chloride may be effective in treating COPD. Conclusions We identified several novel hub genes involved in COPD pathogenesis. TGF-β signaling and Wnt/β-catenin signaling were the most dysregulated pathways in COPD patients. Our study constructed post-transcriptional biological regulatory networks and predicted small-molecule drugs for the treatment of COPD, which enhanced the existing understanding of COPD pathogenesis and suggested an innovative direction for the therapeutic intervention of the disease.

Abstract Objective This study aims to investigate the feasibility of the anterior transpedicular root screw (ATPRS) intervertebral fusion system for the cervical spine and provide a basis for the design of the ATPRS intervertebral fusion system. Methods A total of 60 healthy adult cervical spine CT images examined from our hospital were selected, including 30 males and 30 females, with an average age of 39.6 ± 4.8 years. The image data was imported into Mimics 21.0 software in DICOM format for 3D model reconstruction. Simulated screw insertion was performed on both sides of the midline of the intervertebral space. The entry point (P1) was determined when the upper and lower screw paths did not overlap. When the screw was tangent to the medial edge of the Luschka joint, the insertion point was determined as the entry point (P2). Measurements were taken and recorded for the following parameters: distance from the screw entry point to the midline of the intervertebral space (DPM), the simulated screw length, inclination angle, cranial/caudal tilted angle, the anterior–posterior (AP) and mediolateral (ML) diameters of the cervical intervertebral space, the heights of the anterior, middle, and posterior edges of the cervical intervertebral space, and the curvature diameter of the lower end plate of the cervical vertebral body. Statistical analysis was performed on the measurement results. Results The screw entry area (P1P2) showed an increasing trend from C3-C7 in both male (2.92–6.08 mm) and female (2.32–5.12 mm) groups. There were statistical differences between men and women at the same level (P

Abstract White adipose tissue browning can promote lipid burning to increase energy expenditure and improve adiposity. Here, we show that Slc35d3 expression is significantly lower in adipose tissues of obese mice. While adipocyte-specific Slc35d3 knockin is protected against diet-induced obesity, adipocyte-specific Slc35d3 knockout inhibits white adipose tissue browning and causes decreased energy expenditure and impaired insulin sensitivity in mice. Mechanistically, we confirm that SLC35D3 interacts with the NOTCH1 extracellular domain, which leads to the accumulation of NOTCH1 in the endoplasmic reticulum and thus inhibits the NOTCH1 signaling pathway. In addition, knockdown of Notch1 in mouse inguinal white adipose tissue mediated by orthotopic injection of AAV8-adiponectin-shNotch1 shows considerable improvement in obesity and glucolipid metabolism, which is more pronounced in adipocyte-specific Slc35d3 knockout mice than in knockin mice. Overall, in this study, we reveal that SLC35D3 is involved in obesity via NOTCH1 signaling, and low adipose SLC35D3 expression in obesity might be a therapeutic target for obesity and associated metabolic disorders.

Abstract Selective hydrogenation of carbon monoxide (CO) to higher alcohols (C2+OH) is a promising non-petroleum route for producing high-value chemicals, in which precise regulations of both C-O cleavage and C-C coupling are highly essential but remain great challenges. Herein, we report that highly selective CO hydrogenation to C2-4OH is achieved over a potassium-modified edge-rich molybdenum disulfide (MoS2) catalyst, which delivers a high CO conversion of 17% with a superior C2-4OH selectivity of 45.2% in hydrogenated products at 240 °C and 50 bar, outperforming previously reported non-noble metal-based catalysts under similar conditions. By regulating the relative abundance of edge to basal plane, C2-4OH to methanol selectivity ratio can be overturned from 0.4 to 2.2. Mechanistic studies reveal that sulfur vacancies at MoS2 edges boost carbon-chain growth by facilitating not only C-O cleavage but also C-C coupling, while potassium promotes the desorption of alcohols via electrostatic interaction with hydroxyls, thereby enabling preferential formation of C2-4OH.