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The hydrolysis of silicon and its compounds to produce hydrogen for fuel cell remains a major problem. The main obstacle is the weak hydrolytic activity and slow kinetics of silicon. In this work, the alloying properties of Si and Ca to improve its hydrolytic activity, and studied the film breaking effect of different metals and halogen ions on its passivation layer. The results show that the hydrogen production of the alloy is still determined by its phase composition. Among the common metal (Ni, Bi, Sn) and halogen ions (F–, Cl–) catalyzed by hydrolysis, Ni and F– showed a good synergistic effect, resulting in a hydrogen yield of 269 mL/g at room temperature without alkali. The effects of metal ions and halogens on the hydrolytic properties of Ca–Si alloy were investigated, and Ni2+ and F— showed good synergistic effect. [ABSTRACT FROM AUTHOR]

Subarachnoid hemorrhage (SAH) is a neurological emergency that can lead to fatal outcomes. It occurs when bleeding happens in the subarachnoid space, a small gap between the arachnoid and pia mater. This condition results from the rupture of diseased or damaged blood vessels at the brain's base or surface. This study combined various omics approaches with Mendelian randomization analysis, including MR-IVW, MR Egger, MR weight median, and MR weight mode, to generate preliminary results. It also employed reverse Mendelian randomization, treating SAH as the exposure. Finally, a meta-analysis was conducted to summarize these findings. The study found positive correlations between SAH and both GBPA-Pyridoxal 5 phosphate biosynthesis I (OR=1.48, 95% CI, 1.04–2.12) and GBPA-glucose biosynthesis I (OR=0.68, 95% CI, 0.52–0.90). Increased levels of urokinase-type plasma activator were also associated with SAH (OR=1.17, 95% CI, 1.04–1.32). Associations were observed with SAH for CD80 on CD62L+ plasmacytoid dendritic cells, CD80 on plasmacytoid dendritic cells, CD123 on CD62L+ plasmacytoid dendritic cells, and SSC-A on plasmacytoid dendritic cells. This study, through Mendelian randomization and meta-analysis, established links between SAH and four inflammatory cells, one inflammatory protein, and two gut microbiota-related pathways. These findings suggest potential treatment targets for SAH, highlighting the importance of modulating gut microbiota and utilizing anti-inflammatory drugs in its management. [ABSTRACT FROM AUTHOR]

Short-text clustering, which has attracted much attention with the rapid development of social media in recent decades, is a great challenge due to the feature sparsity, high ambiguity, and massive quantity. Recently, pre-trained language models (PLMs)-based methods have achieved fairly good results on this task. However, two main problems still hang in the air: (1) the significant gap of objective forms in pretraining and fine-tuning, which restricts taking full advantage of knowledge in PLMs. (2) Most existing methods require a post-processing operation for clustering label learning, potentially leading to label estimation errors for different data distributions. To address these problems, in this paper, we propose an Asymmetric Short-Text Clustering via Prompt (short for ASTCP), the features learned with our ASTCP are denser and constricted for clustering. Specifically, a subset text of the corpus is first selected by an asymmetric prompt-tuning network, which aims to obtain predicted label as a clustering center. Then, by the propagation of predicted-label information, a fine-tuned model is designed for representation learning. Thus, a clustering module, such as K-means, is built to directly output clustering labels on top of these representations. Extensive experiments conducted on three datasets have demonstrated that our ASTCP can significantly and consistently outperform other SOTA clustering methods. The source code is available at https://github.com/zhuyi_yzu/ASTCP. [ABSTRACT FROM AUTHOR]

Introduction: For ophthalmic patients, eye discomfort is a major problem that requires efficient pain treatment techniques. Pregabalin and gabapentin have surfaced as viable treatments for post-refractive surgery pain. To manage pain after refractive surgery, gabapentin and pregabalin were evaluated in this systematic review and meta-analysis. Methodology: A thorough search of databases including PubMed, Embase, Cochrane Library, and CINAHL was performed until March 2024. Inclusion criteria were randomized controlled trials assessing pregabalin and/or gabapentin's effectiveness in treating pain post-PRK, LASIK, and LASEK surgeries. Results: Six studies met inclusion criteria, comprising a total of 391 patients undergoing various corneal surgeries. The meta-analysis revealed that pregabalin was significantly more effective than placebo in reducing pain on the first and second postoperative days (SMD day 1: −0.32, 95% CI −0.54, −0.09; SMD day 2: −0.55, 95% CI −0.85, −0.25), while gabapentin showed significant pain reduction on the second day only (SMD day 2: −0.42, 95% CI −0.71, −0.13). Combined analysis for both medications showed significant pain reduction on the first- and second-days post-surgery. No significant increase in adverse events was associated with either medication. Publication bias was minimal except for a slight asymmetry noted on day 1 effectiveness. Conclusion: Pregabalin and gabapentin are effective in reducing postoperative pain following refractive surgeries, with pregabalin showing a greater effect. Both medications are safe, with no significant increase in adverse events. Further research with standardized methodologies and long-term follow-up is recommended to optimize postoperative pain management in ocular surgeries. [ABSTRACT FROM AUTHOR]

Breast cancer is the most frequently diagnosed cancer worldwide, constituting 15% of cases in 2023. The predominant cause of breast cancer-related mortality is metastasis, and a lack of metastasis-targeted therapies perpetuates dismal outcomes for late-stage patients. By using meiotic genetics to study inherited transcriptional network regulation, we have identified, to the best of our knowledge, a new class of “essential expression-restricted” genes as potential candidates for metastasis-targeted therapeutics. Building upon previous work implicating the CCR4-NOT RNA deadenylase complex in metastasis, we demonstrate that RNA-binding proteins NANOS1, PUM2, and CPSF4 also regulate metastatic potential. Using various models and clinical data, we pinpoint Smarcd1 mRNA as a target of all three RNA-BPs. Strikingly, both high and low expression of Smarcd1 correlate with positive clinical outcomes, while intermediate expression significantly reduces the probability of survival. Applying the theory of “essential genes” from evolution, we identify 50 additional genes that require precise expression levels for metastasis to occur. Specifically, small perturbations in Smarcd1 expression significantly reduce metastasis in mouse models and alter splicing programs relevant to the ER+/HER2-enriched breast cancer. Identification subtype-specific essential expression-restricted metastasis modifiers introduces a novel class of genes that, when therapeutically “nudged” in either direction, may significantly improve late-stage breast cancer patients.Identification of “essential expression-restricted” genes requiring tight regulated for efficient metastasis. Smarcd1 transcript is regulated by Nanos1, Pum2, and CPSF4 to maintain a precise expression range outside of which splicing is altered and metastatic efficiency is reduced. [ABSTRACT FROM AUTHOR]

Objective: To systematically evaluate the efficacy of subcutaneous tocilizumab in the treatment of patients with severe COVID-19 and provide evidence for the rational use of subcutaneous tocilizumab in patients with severe COVID-19. Methods: This meta-analysis was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We searched the Cochrane Library, PubMed, Embase, CNKI, SinoMed, and Wanfang Medical Network electronic databases up to 11 January 2023 to identify relevant studies. To obtain the most recent clinical studies of subcutaneous injection of tocilizumab for the treatment of patients with severe COVID-19, we also searched the preprint platforms medRxiv and ChinaXiv. Furthermore, we searched ClinicalTrials.gov for relevant unpublished studies. The studies were screened based on the PICOS principle. The included studies were classified and evaluated for quality based on research type. The RevMan 5.3 software was used to conduct the meta-analysis, and a descriptive analysis was performed to examine relevant outcome indicators. Results: Five observational studies were obtained, involving a total of 498 patients (240 patients in the subcutaneous injection group and 258 patients in the intravenous injection group). All of the studies were of the highest quality. The meta-analysis of the included studies revealed that the mortality rate of patients who received subcutaneous tocilizumab to treat COVID-19 was not significantly higher than that of the intravenous injection group [23.3% (45/193) vs. 18.4% (39/212), RD = 0.06, 95% CI = − 0.01 ~ 0.13, P = 0.11]. Furthermore, there was no significant difference in the proportion of patients requiring mechanical ventilation between the two groups [24.5% (35/143) vs. 22% (35/159), RD = 0.03, 95% CI = − 0.07 ~ 0.12, P = 0.56]. Conclusions: The meta-analyses do not provide evidence that subcutaneous and intravenous tocilizumab formulations for the treatment of severe COVID-19 infection differ regarding their effectiveness. Considering that the meta-analyses cannot replace an appropriately powered non-inferiority study, subcutaneous formulations still need to be used with caution and only when intravenous formulations are in short supply. At present, there is a lack of randomized controlled trials of subcutaneous injection of tocilizumab for the treatment of severe COVID-19, and more clinical research should be conducted. [ABSTRACT FROM AUTHOR]

Cuprotosis related genes (CRGs) have been proved to be potential therapeutic targets for coronavirus disease 2019 (COVID-19) and cancer, but their immune and molecular mechanisms in COVID-19 infection in Diffuse Large B-cell Lymphoma (DLBC/DLBCL) patients are rarely reported. Our research goal is first to screen the key CRGs in COVID-19 through univariate analysis, machine learning and clinical samples. Secondly, we determined the expression and prognostic role of key CRGs in DLBCL through pan-cancer analysis. We validated the expression levels and prognosis using multiple datasets and independent clinical samples and validated the functional role of key CRGs in DLBCL through cell experiments. Finally, we validated the expression levels of CRGs in COVID-19 infected DLBCL patients samples and analyzed their common pathways in COVID-19 and DLBCL. The results show that synuclein-alpha (SNCA) is the common key differential gene of COVID-19 and DLBCL. DLBCL cells confirm that high expression of SNCA can significantly promote cell apoptosis and significantly inhibit the cycle progression of DLBCL. High expression of SNCA can regulate the binding of major histocompatibility complexes (MHCs) and T cell receptor (TCR) by regulating immune infiltration of Dendritic cells, effectively enhancing T cell-mediated anti-tumor immunity and clearing cancer cells. In conclusion, SNCA may be a potential therapeutic target for COVID-19 infection in DLBCL patients. Our study provides a theoretical basis for improving the clinical treatment of COVID-19 infection in DLBCL patients. [ABSTRACT FROM AUTHOR]

Since the discovery of copper induces cell death(cuprotosis) in 2022, it has been one of the biggest research hotspots. cuprotosis related genes (CRGs) has been demonstrated to be a potential therapeutic target for cancer, however, the molecular mechanism of CRGs in coronavirus disease 2019 (COVID-19) infected in DLBCL patients has not been reported yet. Therefore, our research objective is first to elucidate the mechanism and role of CRGs in COVID-19. Secondly, we conducted univariate and multivariate analysis and machine learning to screen for CRGs with common expression differences in COVID-19 and DLBCL. Finally, the functional role and immune mechanism of genes in DLBCL were confirmed through cell experiments and immune analysis. The research results show that CRGs play an important role in the occurrence and development of COVID-19. Univariate analysis and machine learning confirm that dihydrolipoamide dehydrogenase (DLD) is the common key gene of COVID-19 and DLBCL. Inhibiting the expression of DLD can significantly inhibit the cycle progression and promote cell apoptosis of DLBCL cells and can target positive regulation of Lysine-specific demethylase 1 (LSD1, also known as KDM1A) to inhibit the proliferation of DLBCL cells and promote cell apoptosis. The immune analysis results show that high-expression of DLD may reduce T cell-mediated anti-tumor immunity by regulating immune infiltration of CD8 + T cells and positively regulating immune checkpoints LAG3 and CD276. Reducing the expression of DLD can effectively enhance T cell-mediated anti-tumor immunity, thereby clearing cancer cells and preventing cancer growth. In conclusion, DLD may be a potential therapeutic target for COVID-19 infection in DLBCL patients. Our research provides a theoretical basis for improving the clinical treatment of COVID-19 infection in DLBCL. [ABSTRACT FROM AUTHOR]

Objective: To assess efficacy of Chinese medicine (CM) on insomnia considering characteristics of treatment based on syndrome differentiation. Methods: A total of 116 participants aged 18 to 65 years with moderate and severe primary insomnia were randomized to the placebo (n=20) or the CM group (n=96) for a 4-week treatment and a 4-week follow-up. Three CM clinicians independently prescribed treatments for each patient based on syndromes differentiation. The primary outcome was change in total sleep time (TST) from baseline. Secondary endpoints included sleep onset latency (SOL), wake time after sleep onset (WASO), sleep efficiency, Pittsburgh Sleep Quality Index (PSQI) and CM symptoms. Results: The CM group had an average 0.6 h more (95% confidence interval (CI): 0.3–0.9, P<0.001) TST and 34.1% (10.3%–58.0%, P=0.005) more patients beyond 0.5 h TST increment than that of the placebo group. PSQI was changed −3.3 (−3.8 to −2.7) in the CM group, a −2.0 (−3.2 to −0.8, P<0.001) difference from the placebo group. The CM symptom score in the CM group decreased −2.0 (−3.3 to −0.7, P=0.003) more than the placebo group. SOL and WASO changes were not significantly different between groups. The analysis of prescriptions by these clinicians revealed blood deficiency and Liver stagnation as the most common syndromes. Prescriptions for these clinicians displayed relative stability, while the herbs varied. All adverse events were mild and were not related to study treatment. Conclusion: CM treatment based on syndrome differentiation can increase TST and improve sleep quality of primary insomnia. It is effective and safe for primary insomnia. In future studies, the long-term efficacy validation and the exploratory of eutherapeutic clinicians' fixed herb formulas should be addressed (Registration No. NCT01613183). [ABSTRACT FROM AUTHOR]

Rosacea and autoimmune liver diseases (AILDs) are diseases closely associated with immune system abnormalities. AILDs primarily includes autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC). Currently, research on the association between these two conditions is limited. Therefore, this study employed the bidirectional Mendelian randomization (MR) method to investigate potential causal relationships between rosacea and AILDs based on genetic predictions. Summary data related to Rosacea, AIH, PSC, and PBC were obtained from public genome-wide association studies (GWAS). The inverse variance weighted (IVW) method was used as the primary analytical approach, supplemented by the MR-Egger, weighted mode method, weighted median, and simple mode. A series of sensitivity analyses were also conducted to identify heterogeneity and pleiotropy effects. The MR analysis results indicated a significant increase in the risk of rosacea being associated with PBC (OR = 1.09, 95% CI = 1.02–1.18, P = 0.014), but no such association was found with AIH or PSC. Furthermore, this study did not find a significant impact of rosacea on the risk of AILDs. This study represents the first in-depth exploration of the potential causal relationship between rosacea and AILDs using MR analysis. Thes findings suggest an increased risk of rosacea among PBC patients. [ABSTRACT FROM AUTHOR]

Purpose: Acute erythroleukemia (AEL) is a rare and highly aggressive subtype of acute myeloid leukemia (AML) with an extremely poor prognosis when treated with available drugs. Therefore, new investigational agents capable of inducing remission are urgently required. Methods: Bioinformatics analysis, western blot and qRT-PCR were used to reveal the potential biological mechanism of bryostatin 4 (B4), an antineoplastic macrolide derived from the marine bryozoan Bugula neritina. Then, in vivo experiments were conducted to evaluate the role of transforming growth factor (TGF)-β signaling in the progression of AEL. Results: Our results revealed that the proliferation of K562 cells and TF-1 cells was significantly inhibited by B4 at IC50 values of 37 nM and 52 nM, respectively. B4 inhibited TGF-β signaling and its downstream pathway targets, particularly the phosphorylation of Smad2, Smad3, Ras, C-RAF, ERK1/2, and MEK. B4 also played an important role in cell invasion and migration in K562 cells and TF-1 cells by reducing the protein levels of the mesenchymal cell marker vimentin. Moreover, Flow cytometry and western blot analyses demonstrated that B4 induced apoptosis and initiated G0/G1 phase arrest by modulating mitochondrial dysfunction and cyclin-dependent kinase (CDK) expression. Conclusion: These findings indicated that B4 could inhibit the proliferation, migration, invasion, and TGF-β signaling pathways of AEL cells, thus suggesting that B4 possesses therapeutic potential as a treatment for AEL. [ABSTRACT FROM AUTHOR]

This study addresses the relationship between platelet count and 30-day in-hospital mortality in End-Stage Kidney Disease (ESRD) patients in the intensive care unit (ICU), a topic with limited existing evidence. Utilizing data from the US eICU-CRD v2.0 database (2014–2015), a retrospective cohort study was conducted involving 3700 ICU ESRD patients. We employed binary logistic regression, smooth curve fitting, and subgroup analyses to explore the association between platelet count and 30-day in-hospital mortality. The 30-day in-hospital mortality rate was 13.27% (491/3700), with a median platelet count of 188 × 109/L. After adjusting for covariates, we observed a relationship between platelet count and 30-day in-hospital mortality (OR = 0.98, 95% CI 0.97, 0.99). Subgroup analyses supported these findings. More importantly, a nonlinear association was detected, with an inflection point at 222 × 109/L. The effect sizes (OR) on the left and right sides of the inflection point were 0.94 (0.92, 0.96) and 1.03 (1.00, 1.05), respectively. The most significant finding of this study is the revelation of a nonlinear relationship between baseline platelet count and 30-day in-hospital mortality in ICU patients with ESRD. This discovery explicitly suggests that when ESRD patients are admitted to the ICU, a platelet level closer to 222 × 10⁹/L may predict a lower 30-day in-hospital mortality risk. [ABSTRACT FROM AUTHOR]

In recent years, the vigorous development of e-commerce has also greatly promoted the development of the fashion multimedia field. Fashion compatibility modeling plays a very important role in a series of applications, such as fashion retrieval and personalized recommendation. Because fashion compatibility prediction usually contains multiple modal information, in this paper, we present a type-aware fashion compatibility prediction model based on a hybrid attention mechanism that is centered on using a priori category information for the fusion of multimodal information. Specifically, the model first designs a hybrid attention mechanism to fully explore the inner dependency of the visual modality while enriching with textual modalities to obtain a joint feature representation of multimodal information. Furthermore, the model matches fashion items as a distance measurement problem, and the joint feature representation of multimodal information realizes type-aware characteristics by the design of a distance measurement function with category-aware embedding. The experimental results obtained on the publicly available Polyvore and Polyvore-D datasets demonstrate the effectiveness of the model. [ABSTRACT FROM AUTHOR]

Among the fascinating phenomena observed in two-dimensional (2D) magnets, the magneto-exciton effect stands out as a pivotal link between optics and magnetism. Although the excitonic effect has been revealed and exhibits a considerable correlation with the spin structures in certain 2D magnets, the underlying mechanism of the magneto-exciton effect remains underexplored, especially under high magnetic fields. Here we perform a systematic investigation of the spin-exciton coupling in 2D antiferromagnetic NiPS3 under high magnetic fields. When an in-plane magnetic field is applied, the exceptional sharp excitonic emission at ~1.4756 eV exhibits a Zeeman-like splitting with g ≈ 2.0, experimentally identifying the exciton as an excitation of dominant triplet-singlet character. By examining the polarization of excitonic emission and simulating the spin evolution, we further verify the correlation between excitonic emission and Néel vector in NiPS3. Our work elucidates the mechanism behind the spin-exciton coupling in NiPS3 and establishes a strategy for optically probing the spin evolutions in 2D magnets. NiPS3, a van der Waals antiferromagnet exhibits exciton emission with a very sharp linewidth. The exact origin of this is has been a subject of active debate. Here, Wang et al study the behavior of this sharp exciton peak under applied magnetic fields, and find a Zeeman-like splitting, indicating the exciton has triplet-singlet character. [ABSTRACT FROM AUTHOR]

Hypomyelinating leukodystrophy (HLD) is a rare genetic heterogeneous disease that can affect myelin development in the central nervous system. This study aims to analyze the clinical phenotype and genetic function of a family with HLD-7 caused by POLR3A mutation. The proband (IV6) in this family mainly showed progressive cognitive decline, dentin dysplasia, and hypogonadotropic hypogonadism. Her three old brothers (IV1, IV2, and IV4) also had different degrees of ataxia, dystonia, or dysarthria besides the aforementioned manifestations. Their brain magnetic resonance imaging showed bilateral periventricular white matter atrophy, brain atrophy, and corpus callosum atrophy and thinning. The proband and her two living brothers (IV2 and IV4) were detected to carry a homozygous mutation of the POLR3A (NM_007055.4) gene c. 2300G > T (p.Cys767Phe), and her consanguineous married parents (III1 and III2) were p.Cys767Phe heterozygous carriers. In the constructed POLR3A wild-type and p.Cys767Phe mutant cells, it was seen that overexpression of wild-type POLR3A protein significantly enhanced Pol III transcription of 5S rRNA and tRNA Leu-CAA. However, although the mutant POLR3A protein overexpression was increased compared to the wild-type protein overexpression, it did not show the expected further enhancement of Pol III function. On the contrary, Pol III transcription function was frustrated (POLR3A, BC200, and tRNA Leu-CAA expression decreased), and MBP and 18S rRNA expressions were decreased. This study indicates that the POLR3A p.Cys767Phe variant caused increased expression of mutated POLR3A protein and abnormal expression of Pol III transcripts, and the mutant POLR3A protein function was abnormal. [ABSTRACT FROM AUTHOR]

Our genomes influence nearly every aspect of human biology—from molecular and cellular functions to phenotypes in health and disease. Studying the differences in DNA sequence between individuals (genomic variation) could reveal previously unknown mechanisms of human biology, uncover the basis of genetic predispositions to diseases, and guide the development of new diagnostic tools and therapeutic agents. Yet, understanding how genomic variation alters genome function to influence phenotype has proved challenging. To unlock these insights, we need a systematic and comprehensive catalogue of genome function and the molecular and cellular effects of genomic variants. Towards this goal, the Impact of Genomic Variation on Function (IGVF) Consortium will combine approaches in single-cell mapping, genomic perturbations and predictive modelling to investigate the relationships among genomic variation, genome function and phenotypes. IGVF will create maps across hundreds of cell types and states describing how coding variants alter protein activity, how noncoding variants change the regulation of gene expression, and how such effects connect through gene-regulatory and protein-interaction networks. These experimental data, computational predictions and accompanying standards and pipelines will be integrated into an open resource that will catalyse community efforts to explore how our genomes influence biology and disease across populations.The Impact of Genomic Variation on Function Consortium is combining single-cell mapping, genomic perturbations and predictive modelling to investigate relationships between human genomic variation, genome function and phenotypes and will provide an open resource to the community. [ABSTRACT FROM AUTHOR]

As a common inflammatory bowel disease, ulcerative colitis (UC) is featured with inflammation, oxidative damage, and the impairment of intestinal mucosal barrier, which bring threat to patients' quality of live. Hinesol, derived from Atractylodes lancea, is a unique sesquiterpenoid. Our study proposed to survey the effects and mechanism of hinesol in UC. UC mouse model was constructed using dextran sulfate sodium (DSS). Lipopolysaccharide (LPS) was applied for RAW264.7 cells stimulation to construct cell inflammatory model. The changes of disease activity index (DAI), body weight, colon length, and intestinal pathology in mice were analyzed to estimate the severity of colitis. Enzyme-linked immunosorbent assay was applied to check the changes of interleukin (IL)-1β, IL-18, IL-6, and tumor necrosis factor (TNF)-α. The levels of myeloperoxidase (MPO), superoxide dismutase (SOD), glutathione peroxidase (GSH-px), catalase (CAT), and malondialdehyde (MDA) were estimated by corresponding reagent kit. The changes of phosphorylated (p)-NF-κB P65, and p-IκBα, ZO-1, Occludin, Claudin-1, Src, XCL1, CCL2, and CXCL16 protein were examined using western blot. Flow cytometry and cell counting kit-8 assay were utilized for assessment of cell apoptosis and viability. We found that DSS reduced mice body weight, increased DAI, shorten colon length, and led to severe enteric mucosal injury, while hinesol improved the above symptoms induced by DSS. In DSS mice, hinesol raised the levels of ZO-1, Occludin, Claudin-1, SOD, GSH-px, and CAT and decreased the levels of TNF-α, IL-18, IL-1β, IL-6, MPO, and MDA. Additionally, in DSS mice and LPS-stimulated RAW264.7 cells, hinesol inhibited the high expression of Src, XCL1, CCL2, CXCL16, p-NF-κB P65, and p-IκBα. The molecular docking showed that there was a good interaction between hinesol and Src. Moreover, in LPS-stimulated RAW 264.7 cells, Src overexpression partially reversed the inhibition of hinesol on cell apoptosis, pro-inflammatory factors, and oxidative stress. In conclusion, hinesol alleviated DSS-induced colitis, which might have a bearing on the inhibition of Src-mediated NF-κB and chemokine signaling pathway. [ABSTRACT FROM AUTHOR]

Diffuse large B-cell lymphoma (DLBCL) is a genetically heterogeneous non-Hodgkin lymphoma that is extremely aggressive and has an intermediate to high malignancy. Some patients still experience treatment failure, relapse, or resistance to rituximab, cyclophosphamide, adriamycin, vincristine, and prednisone (R-CHOP) therapy. Therefore, there is an urgent need for further research on new agents for the treatment of DLBCL. AP-48 is an aaptamine alkaloid analog with potent anti-tumor effects that originates from marine natural products. In this study, we found that AP-48 exhibits dose-dependent cytotoxicity in DLBCL cell lines. Flow cytometry showed that AP-48 induced cell cycle arrest in the G0/G1 phase in SU-DHL-4 and Farage cells and in the S phase in WSU-DLCL-2 cells. AP-48 also accelerated apoptosis via the caspase-3-mediated intrinsic apoptotic pathway. Further experiments demonstrated that AP-48 exerted its anti-DLBCL effects through the PI3K/AKT/mTOR pathway, and that the PI3K agonist YS49 partially alleviated the inhibition of cell proliferation and apoptosis induced by AP-48. Finally, in a tumor xenograft model, AP-48 inhibited tumor growth and promoted apoptosis in tumor tissues, indicating its therapeutic potential in DLBCL. [ABSTRACT FROM AUTHOR]

In recent years, the environmental pollution caused by microplastics (MPs) has attracted extensive attention. Numerous studies have shown that MPs could cause liver damage in aquatic animals. However, there is a limited range of technical approaches available to mitigate and minimize the detrimental impact of MPs on both wild fish populations and aquaculture operations. Thus, this study aimed to investigate the impact of dietary chitosan supplementation on the prevention and treatment of liver damage induced by exposure to polystyrene microplastics (PS-MPs) in Nile tilapia (Oreochromisniloticus). The results indicated that after two weeks of exposure, the liver of tilapia showed oxidative stress, inflammatory response and fibrosis. Meanwhile, after the chitosan addition, the oxidative stress, inflammatory response and fibrosis of tilapia liver were reversed, the pyroptosis and ferroptosis in tilapia liver were inhibited, the combination of mitochondria with PS-MPs in tilapia liver cells was inhibited, and the mitochondrial damage was reversed. In summary, the study confirmed the potential prophylaxis and treatment effect of dietary chitosan supplementation on PS-MPs exposure-induced liver damage in tilapia, and provided basic data for further studies on prophylaxis and treatment of the toxic effects of MPs. This study also presented efficacious strategies for alleviating the deleterious impacts of MPs on fish farming, thereby fostering sustainable and eco-friendly approaches in aquaculture. [ABSTRACT FROM AUTHOR]

Due to its potential application in signal analysis and image processing, quaternionic Fourier analysis has received increasing attention. This paper addresses quaternionic subspace Gabor frames under the condition that the products of time-frequency shift parameters are rational numbers. We characterize subspace quaternionic Gabor frames in terms of quaternionic Zak transformation matrices. For an arbitrary subspace Gabor frame, we give a parametric expression of its Gabor duals of type I and type II, and characterize the uniqueness Gabor duals of type I and type II. And as an application, given a Gabor frame for the whole space L 2 (R 2 , H) , we give a parametric expression of its all Gabor duals, and derive its unique Gabor dual of type II. Some examples are also provided. [ABSTRACT FROM AUTHOR]

In the AdS3/CFT2 framework, the Euclidean BTZ black hole corresponds to the dominant high-temperature phase of its dual field theory. We initially employ perturbative methods to solve the Einstein equations as boundary value problems, providing correlators for the energy-momentum tensor operator at low points. Utilizing operator equations established in our previous work, we further compute arbitrary high-point correlators for the energy-momentum tensor operator in the high-temperature phase and recursive relations for these high-point functions. Concurrently, we employ the Chern-Simons formalism to derive consistent results. Further, using the cut-off AdS/ T T ¯ -deformed CFT duality, we calculate the energy-momentum tensor correlators, contributing to the comprehensive understanding of the system's dynamics. Finally, stress tensor correlators enable us to ascertain the corresponding KdV operator correlators at low-temperature. [ABSTRACT FROM AUTHOR]

Purpose: To explore the effectiveness of sling surgery followed by pelvic floor muscle exercises (PFME) or PFME alone for moderate stress urinary incontinence (SUI) in women and its influencing factors. Methods: This is a prospective observational cohort study investigating whether sling surgery or PFME is preferred for pre-menopause women with moderate uncomplicated SUI. Those who received PFME alone or sling surgery were divided to PT or TVT group, respectively. The primary outcome was objective cure at 12 months. The secondary outcomes included Incontinence Impact Questionnaire—Short Form (IIQ-7) scores and PFME adherence. Results: The study sample comprised 130 and 74 patients in the PT and TVT groups, respectively. There was 38.2% of patients adhered to PFME twice weekly or more often, and the compliance varied by education level. At 12 months, the objective cure rate was significantly higher in the TVT versus PT group (75.7% vs 47.7%; adjusted OR = 4.27; 95% CI, 2.05–8.87; P < 0.001). In addition, the mean reduction in IIQ-7 scores was greater in the TVT group (16.2 vs 10.0; adjusted OR = 3.38; 95% CI, 1.93–4.82; P < 0.001). However, among patients with lower education or those without adherence to PFME at 12 months, the TVT was also favorized, and the discrepancy in cure rates was greater between the two groups. Conclusion: Sling procedures followed by PFME demonstrate greater efficacy versus physiotherapy alone for moderate female SUI management. Continued adherence to PFME was important, even for patients undergoing sling procedures. Educational factors influenced patient PFME adherence and the advantage conferred by sling procedures. [ABSTRACT FROM AUTHOR]

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In industry, rolling bearing damage acoustic emission (AE) signals are interfered with by complex transmission paths and strong noise. The signal-to-noise ratio of the AE signal is low. The bearing periodic fault pulse is weak, and fault feature extraction is challenging. To address these issues, combined with the characteristics of impulsiveness and rapid attention of the AE signal, an enhancement of the bearing weak fault signal based on the autocorrelation function (ACF) and improved multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) method is proposed in this contribution. Firstly, in low signal-to-noise ratio, the target vector of the MOMEDA method is not optimal, and the diagnostic accuracy is low. To address this problem, this paper improves MOMEDA by using the gradient descent method, called GMOMEDA. Rolling bearing fault AE pulse signals are enhanced. Then, a method combination of ACF and GMOMEDA highlights the periodic elastic wave in the signal. Finally, the enhanced AE signal is processed by envelope demodulation to extract the frequency of the bearing fault signal. The experimental results show that the performance of the ACF-GMOMEDA method is better than the other five methods. The frequency features of bearing fault AE signal can be accurately extracted. [ABSTRACT FROM AUTHOR]

The spotted sea bass (Lateolabrax maculatus), a eurythermal species, exhibits strong adaptability to temperature variations and presents an ideal model for studying heat stress-responsive mechanisms in fish. This study examined the liver transcriptome of spotted sea bass over a 24-h period following exposure to elevated temperatures, rising from 25 to 32 °C. The results revealed significant alterations in gene expression in response to this thermal stress. Specifically, we identified 1702, 1199, 3128, and 2636 differentially expressed genes at 3, 6, 12, and 24 h post-stress, respectively. Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify specific gene modules responsive to heat stress, containing hub genes such as aco2, eci2, h6pd, suclg1, fgg, fga, fgb, f2, and apoba, which play central roles in the heat stress response. Enrichment analyses via KEGG and GSEA indicated that upregulated differentially expressed genes (DEGs) are predominantly involved in protein processing in the endoplasmic reticulum, while downregulated genes are primarily associated with the AGE-RAGE signaling pathways. Additionally, 272 genes exhibited differential alternative splicing, primarily through exon skipping, underscoring the complexity of transcriptomic adaptations. These findings provide deeper insights into the molecular responses to thermal stress and are crucial for advancing the breeding of heat-resistant strains of spotted sea bass. [ABSTRACT FROM AUTHOR]

Development of potent and broad-spectrum antimicrobial peptides (AMPs) could help overcome the antimicrobial resistance crisis. We develop a peptide language-based deep generative framework (deepAMP) for identifying potent, broad-spectrum AMPs. Using deepAMP to reduce antimicrobial resistance and enhance the membrane-disrupting abilities of AMPs, we identify, synthesize, and experimentally test 18 T1-AMP (Tier 1) and 11 T2-AMP (Tier 2) candidates in a two-round design and by employing cross-optimization-validation. More than 90% of the designed AMPs show a better inhibition than penetratin in both Gram-positive (i.e., S. aureus) and Gram-negative bacteria (i.e., K. pneumoniae and P. aeruginosa). T2-9 shows the strongest antibacterial activity, comparable to FDA-approved antibiotics. We show that three AMPs (T1-2, T1-5 and T2-10) significantly reduce resistance to S. aureus compared to ciprofloxacin and are effective against skin wound infection in a female wound mouse model infected with P. aeruginosa. In summary, deepAMP expedites discovery of effective, broad-spectrum AMPs against drug-resistant bacteria. New approaches to develop antimicrobial agents are urgently needed. In this study, the authors develop a peptide language-based deep generative model to design broad-spectrum antimicrobial peptides against drug-resistant bacteria and validate promising candidates in a wound mouse model. [ABSTRACT FROM AUTHOR]

Advanced Persistent Threats (APTs) achieves internal networks penetration through multiple methods, making it difficult to detect attack clues solely through boundary defense measures. To address this challenge, some research has proposed threat detection methods based on provenance graphs, which leverage entity relationships such as processes, files, and sockets found in host audit logs. However, these methods are generally inefficient, especially when faced with massive audit logs and the computational resource-intensive nature of graph algorithms. Effectively and economically extracting APT attack clues from massive system audit logs remains a significant challenge. To tackle this problem, this paper introduces the ProcSAGE method, which detects threats based on abnormal behavior patterns, offering high accuracy, low cost, and independence from expert knowledge. ProcSAGE focuses on processes or threads in host audit logs during the graph construction phase to effectively control the scale of provenance graphs and reduce performance overhead. Additionally, in the feature extraction phase, ProcSAGE considers information about the processes or threads themselves and their neighboring nodes to accurately characterize them and enhance model accuracy. In order to verify the effectiveness of the ProcSAGE method, this study conducted a comprehensive evaluation on the StreamSpot dataset. The experimental results show that the ProcSAGE method can significantly reduce the time and memory consumption in the threat detection process while improving the accuracy, and the optimization effect becomes more significant as the data size expands. [ABSTRACT FROM AUTHOR]

In the context of the circular economy, there is a need for advanced methods to recover metals from industrial waste, yet classical hydrometallurgical techniques are limited. Here, we review ultrasonic-assisted hydrometallurgical leaching with focus on the use of acids, bases, oxidants, bacteria and electrolysis. Oxidative leaching is done with ferric ions, dioxygen, ozone and hydrogen peroxide. Upscaling is also detailed. Ultrasonication allows to reduce the dosage of leaching agents, to reduce reaction time, and to enhance leaching efficiency. Large-scale equipments are still limited by low cavitation efficiency, low throughput, high usage costs, and high energy consumption. [ABSTRACT FROM AUTHOR]

Sirtuin 6 (SIRT6) can inhibit the fibrosis of many organs. However, the relationship between SIRT6 and peritoneal fibrosis (PF) in peritoneal dialysis (PD) remains unclear. We collected 110 PD patients with a duration of PD for more than 3 months and studied the influence of PD duration and history of peritonitis on SIRT6 levels in PD effluents (PDEs). We also analyzed the relationship between SIRT6 levels in PDEs and transforming growth factor beta 1 (TGF-β1), IL-6, PD duration, peritoneal function, PD ultrafiltration (UF), and glucose exposure. We extracted human peritoneal mesothelial cells (HPMCs) from PDEs and measured the protein and gene expression levels of SIRT6, E-cadherin, vimentin, and TGF-β1 in these cells. Based on the clinical results, we used human peritoneal mesothelial cells lines (HMrSV5) to observe the changes in SIRT6 levels and mesothelial-to-mesenchymal transition (MMT) after intervention with PD fluid. By overexpressing and knocking down SIRT6 expression, we investigated the effect of SIRT6 expression on E-cadherin, vimentin, and TGF-β1 expression to elucidate the role of SIRT6 in mesothelial-to-epithelial transition in PMCs. Results: (1) With the extension of PD duration, the influence of infection on SIRT6 levels in PDEs increased. Patients with the PD duration of more than 5 years and a history of peritonitis had the lowest SIRT6 levels. (2) SIRT6 levels in PDEs were negatively correlated with PD duration, total glucose exposure, TGF-β1, IL-6 levels, and the dialysate-to-plasma ratio of creatinine (Cr4hD/P), but positively correlated with UF. This indicates that SIRT6 has a protective effect on the peritoneum. (3) The short-term group (PD ≤ 1 year) had higher SIRT6 and E-cadherin gene and protein levels than the mid-term group (1 year < PD ≤ 5 years) and long-term group (PD > 5 years) in PMCs, while vimentin and TGF-β1 levels were lower in the mid-term group and long-term group. Patients with a history of peritonitis had lower SIRT6 and E-cadherin levels than those without such a history. (4) After 4.25% PD fluid intervention for HPMCs, longer intervention time resulted in lower SIRT6 levels. (5) Overexpressing SIRT6 can lead to increased E-cadherin expression and decreased vimentin and TGF-β1 expression in HPMCs. Knocking down SIRT6 expression resulted in decreased E-cadherin expression and increased vimentin and TGF-β1 expression in HPMCs. This indicates that SIRT6 expression can inhibit MMT in HPMCs, alleviate PF associated with PD, and have a protective effect on the peritoneum. [ABSTRACT FROM AUTHOR]

Nowadays, the personalized recommendation has become a research hotspot for addressing information overload. Despite this, generating effective recommendations from sparse data remains a challenge. Recently, auxiliary information has been widely used to address data sparsity, but most models using auxiliary information are linear and have limited expressiveness. Due to the advantages of feature extraction and no-label requirements, autoencoder-based methods have become quite popular. However, most existing autoencoder-based methods discard the reconstruction of auxiliary information, which poses huge challenges for better representation learning and model scalability. To address these problems, we propose Serial-Autoencoder for Personalized Recommendation (SAPR), which aims to reduce the loss of critical information and enhance the learning of feature representations. Specifically, we first combine the original rating matrix and item attribute features and feed them into the first autoencoder for generating a higher-level representation of the input. Second, we use a second autoencoder to enhance the reconstruction of the data representation of the prediciton rating matrix. The output rating information is used for recommendation prediction. Extensive experiments on the MovieTweetings and MovieLens datasets have verified the effectiveness of SAPR compared to state-of-the-art models. [ABSTRACT FROM AUTHOR]

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The conversion of farmland to forest in China has been recognized for its positive impact on above-ground vegetation and carbon sequestration. However, the impact on soil quality during land conversion, particularly in vulnerable karst areas, has received less attention. In this study conducted in a karst area of southwest China, eight different farmland conversion strategies were investigated to assess improvements in surface soil carbon, nitrogen, and ecosystem multi-functionality (EMF). Our results showed that farmland converted to afforestation areas or farmland that was abandoned contained higher amounts of carbon (total, organic, active) and ammonium nitrogen (NH4+-N) in the soil compared to farmland converted to grassland or maize crop. Soluble organic carbon levels were higher in afforestation and grassland areas compared to maize crop controls. By contrast, soil from grassland and abandoned land exhibited higher levels of nitrate nitrogen (NO3--N) compared to afforestation land or maize crop controls. There were no differences in NH4+-N content between any condition, except for afforestation land that specifically contained the Zenia insignis plant species. Afforestation land consistently exhibited higher EMF values than grassland. Pearson correlation analysis revealed positive relationships between soil indices and EMF scores, except for NO3--N.Random forest analysis explained 95% of the variation in soil EMF and identified specific soil factors: total carbon, organic carbon, active labile organic carbon, total nitrogen, and ammonium nitrogen, as the main drivers of soil multi-functionality. Our studies show how various reforestation strategies can enhance soil nutrient sequestration and improve soil multi-functionality of farmland in the karst areas.These findings provide insight into sustainable soil management practices for converting farmland into natural areas. [ABSTRACT FROM AUTHOR]

The retina, an anatomical extension of the brain, forms physiological connections with the visual cortex of the brain. Although retinal structures offer a unique opportunity to assess brain disorders, their relationship to brain structure and function is not well understood. In this study, we conducted a systematic cross-organ genetic architecture analysis of eye-brain connections using retinal and brain imaging endophenotypes. We identified novel phenotypic and genetic links between retinal imaging biomarkers and brain structure and function measures from multimodal magnetic resonance imaging (MRI), with many associations involving the primary visual cortex and visual pathways. Retinal imaging biomarkers shared genetic influences with brain diseases and complex traits in 65 genomic regions, with 18 showing genetic overlap with brain MRI traits. Mendelian randomization suggests bidirectional genetic causal links between retinal structures and neurological and neuropsychiatric disorders, such as Alzheimer's disease. Overall, our findings reveal the genetic basis for eye-brain connections, suggesting that retinal images can help uncover genetic risk factors for brain disorders and disease-related changes in intracranial structure and function. Using large-scale multimodal retinal and brain imaging data, the authors map eye-brain connections and uncover underlying genetic factors, suggesting the retina as a window into brain structure, function, and disorders. [ABSTRACT FROM AUTHOR]

The Warburg effect is a hallmark of cancer that refers to the preference of cancer cells to metabolize glucose anaerobically rather than aerobically1,2. This results in substantial accumulation of lacate, the end product of anaerobic glycolysis, in cancer cells3. However, how cancer metabolism affects chemotherapy response and DNA repair in general remains incompletely understood. Here we report that lactate-driven lactylation of NBS1 promotes homologous recombination (HR)-mediated DNA repair. Lactylation of NBS1 at lysine 388 (K388) is essential for MRE11–RAD50–NBS1 (MRN) complex formation and the accumulation of HR repair proteins at the sites of DNA double-strand breaks. Furthermore, we identify TIP60 as the NBS1 lysine lactyltransferase and the ‘writer’ of NBS1 K388 lactylation, and HDAC3 as the NBS1 de-lactylase. High levels of NBS1 K388 lactylation predict poor patient outcome of neoadjuvant chemotherapy, and lactate reduction using either genetic depletion of lactate dehydrogenase A (LDHA) or stiripentol, a lactate dehydrogenase A inhibitor used clinically for anti-epileptic treatment, inhibited NBS1 K388 lactylation, decreased DNA repair efficacy and overcame resistance to chemotherapy. In summary, our work identifies NBS1 lactylation as a critical mechanism for genome stability that contributes to chemotherapy resistance and identifies inhibition of lactate production as a promising therapeutic cancer strategy.Lactylation of NBS1 by TIP60 promotes homologous recombination-driven DNA repair and resistance to chemotherapy in cancer cells and links altered cancer cell metabolism to increase genome stability. [ABSTRACT FROM AUTHOR]

Conventional macrolide-lincosamide-streptogramin B-ketolide (MLSBK) antibiotics are unable to counter the growing challenge of antibiotic resistance that is conferred by the constitutive methylation of rRNA base A2058 or its G2058 mutation, while the presence of unmodified A2058 is crucial for high selectivity of traditional MLSBK in targeting pathogens over human cells. The absence of effective modes of action reinforces the prevailing belief that constitutively antibiotic-resistant Staphylococcus aureus remains impervious to existing macrolides including telithromycin. Here, we report the design and synthesis of a novel series of macrolides, featuring the strategic fusion of ketolide and quinolone moieties. Our effort led to the discovery of two potent compounds, MCX-219 and MCX-190, demonstrating enhanced antibacterial efficacy against a broad spectrum of formidable pathogens, including A2058-methylated Staphylococcus aureus, Streptococcus pneumoniae, Streptococcus pyogenes, and notably, the clinical Mycoplasma pneumoniae isolates harboring A2058G mutations which are implicated in the recent pneumonia outbreak in China. Mechanistic studies reveal that the modified quinolone moiety of MCX-190 establishes a distinctive secondary binding site within the nascent peptide exit tunnel. Structure-activity relationship analysis underscores the importance of this secondary binding, maintained by a sandwich-like π–π stacking interaction and a water–magnesium bridge, for effective engagement with A2058-methylated ribosomes rather than topoisomerases targeted by quinolone antibiotics. Our findings not only highlight MCX-219 and MCX-190 as promising candidates for next-generation MLSBK antibiotics to combat antibiotic resistance, but also pave the way for the future rational design of the class of MLSBK antibiotics, offering a strategic framework to overcome the challenges posed by escalating antibiotic resistance. [ABSTRACT FROM AUTHOR]

Chromatin spatial organization plays a crucial role in gene regulation. Recently developed and prospering multiplexed DNA FISH technologies enable direct visualization of chromatin conformation in the nucleus. However, incomplete data caused by limited detection efficiency can substantially complicate and impair downstream analysis. Here, we present SnapFISH-IMPUTE that imputes missing values in multiplexed DNA FISH data. Analysis on multiple published datasets shows that the proposed method preserves the distribution of pairwise distances between imaging loci, and the imputed chromatin conformations are indistinguishable from the observed conformations. Additionally, imputation greatly improves downstream analyses such as identifying enhancer-promoter loops and clustering cells into distinct cell types. SnapFISH-IMPUTE is freely available at https://github.com/hyuyu104/SnapFISH-IMPUTE. A novel computational method for imputing missing data in multiplexed DNA FISH data is reported, improving the performance of downstream analysis including loop calling and cell type clustering. [ABSTRACT FROM AUTHOR]

This paper focuses on the social, economic, and environmental benefits of village development during the construction and operation of a pumped-storage power station (PSPS) in China. This paper provides an innovative perspective on new energy development in the context of rural revitalization. A four-party evolutionary game model was established that included the central government, local governments, PSPSs, and villagers. The evolution and stabilization strategies used in the development process of the rural revitalization were analyzed. The results show the following: (1) The greater the strength or amount of fines and penalties, the lower the cost of supervision, making it more conducive to the central government's evolution towards strict supervision. (2) The greater the tax revenues, the more likely local governments are to evolve towards active implementation. (3) The greater the social benefits, the more likely PSPSs are to evolve toward active participation. (4) The greater the resettlement compensation fees, wages, and donations, the more likely villagers are to evolve toward positive cooperation. We then provide appropriate suggestions on how PSPSs contribute to rural revitalization. This paper is important for improving the investment decision plan of PSPSs for rural revitalization and promoting China's sustainable new energy. [ABSTRACT FROM AUTHOR]

Mobile telemedicine systems based on the next-generation communication will significantly enhance deep fusion of network automation and federated learning (FL), but data privacy is a paramount issue in sectors like healthcare. This work hence considers FL augments 5G-and-beyond networks by training deep learning (DL) models without the need to exchange raw data. The substantial communication loads imposed on by extensive parameters involved in DL models are managed through adaptive scheduling mechanisms effectively. To address the opaque nature of DL models and to improve the interpretability of FL models, we introduce a convolutional fuzzy rough neural network specifically designed for medical image processing. We also develop a multiobjective memetic evolutionary algorithm to streamline and optimize the neural network architectures. Our comprehensive FL framework integrates smart scheduling, interpretable fuzzy rough logic, and neuroevolution. This framework is shown to improve communication efficiency, increase interpretability of diagnosis with protected privacy, and generate low-complexity neural architectures. [ABSTRACT FROM AUTHOR]

The traditional bismuth sulfide concentrate smelting process had the problems of low direct recovery rate of metallic bismuth, low extraction rate of associated valuable metal elements, and SO2 flue gas pollution. In this paper, alkaline smelting has been proposed to realize one-step extraction of metallic bismuth from bismuth sulfide concentrate and immobilization of sulfur in molten salt. The influences of smelting temperature, Na2CO3 addition, and reduced coke dosage on the direct recovery rate of metallic bismuth and sulfur-fixing rate have been investigated in detail. Under the optimum conditions (smelting temperature 900°C, WNa2CO3:WConcentrate = 15%, WCoke:WConcentrate = 10%), the direct recovery rate of metallic bismuth was 95.98% and 99.16% sulfur was fixed in the molten salt. More than 99% Mo and W in the raw material entered into the molten salt, and dissolved in the leach solution in the form of Na2MoO4 and Na2WO4 after water leaching. 20% N235—40% sec-caprylic alcohol—40% sulfonated kerosene organic phase was used as extractant, and 94.48% Mo and 99.49% W were extracted from the organic phase by shaking at 25°C for 10 min with O/A of 1:1. Ammonia was then used for stripping, and the stripping efficiencies of Mo and W reached 96.18% and 93.85%, respectively. [ABSTRACT FROM AUTHOR]

High-power permanent magnet synchronous motor (PMSM) has great application potential in the field of traction or propulsion. Since the compact structure and high heat load density of PMSM, heat dissipation conditions introduce new challenges and opportunities for further improvement of its power, efficiency and reliability. In this paper, a new gas–liquid two-phase jet cooling system (GLCS) for PMSM is proposed. The flow and heat transfer characteristics of GLCS are studied numerically. The effects of different factors on heat and mass transfer characteristics were studied. It lays a foundation for the development of thermal analysis and thermal design of high power density permanent magnet synchronous motors with wide application prospects in high-speed rail, urban rail and electric vehicle traction systems. The results show that the surface temperature of stator and rotor can be below 350 K, which proves the heat dissipation capacity of the cooling system. The closer the jet area is to the surface of the rotor, the smaller the velocity is. The surface temperature of stator and rotor is distributed in a W-shape. The effect of liquid volume fraction on different surfaces is different. On the rotor surface, with the increase of liquid volume fraction, the cooling effect is enhanced, while on the stator surface, the cooling effect is weakened. When the rotating speed is 4200 r min−1, the jet cone angle is less than 60°, which can ensure the heat dissipation capacity of the cooling system. The axial influence distance of jet velocity on the surface temperature of rotor is 40 mm. The number of circumferential nozzles is 3 and the number of axial nozzles is 6, which can ensure the best heat dissipation capacity of GLCS. [ABSTRACT FROM AUTHOR]

DNA base editors enable direct editing of adenine (A), cytosine (C), or guanine (G), but there is no base editor for direct thymine (T) editing currently. Here we develop two deaminase-free glycosylase-based base editors for direct T editing (gTBE) and C editing (gCBE) by fusing Cas9 nickase (nCas9) with engineered human uracil DNA glycosylase (UNG) variants. By several rounds of structure-informed rational mutagenesis on UNG in cultured human cells, we obtain gTBE and gCBE with high activity of T-to-S (i.e., T-to-C or T-to-G) and C-to-G conversions, respectively. Furthermore, we conduct parallel comparison of gTBE/gCBE with those recently developed using other protein engineering strategies, and find gTBE/gCBE show the outperformance. Thus, we provide several base editors, gTBEs and gCBEs, with corresponding engineered UNG variants, broadening the targeting scope of base editors. Efficient base editors for direct thymine (T) editing are highly desirable. Here, authors develop two deaminase-free glycosylase-based base editors for direct T editing (gTBE) and C editing (gCBE) by rounds of structure-informed mutagenesis on human DNA glycosylase UNG and further engineering. [ABSTRACT FROM AUTHOR]

The heat dissipation capacity prediction and cooling adjustment of the space station are rarely reported and are currently very urgent. Therefore, this paper does the following work. First, a twin system equivalent to the actual thermal system is built based on the digital twin technology, and the net heat dissipation capacity that can reflect the energy storage characteristics of the radiator and the total heat that can reflect the load changes in the cabin are identified. Then, the optimum operating state of the thermal system is planned by using the changing characteristics of the two, to predict the maximum heat dissipation capacity and heat dissipation margin of the space station. Finally, the cooling adjustment method is given. The results show that the heat dissipation capacity of the shadow area of the space station is about 16kW, which is about 1.5 times the sunlit area. The series control reduces the time difference between hot and cold source from 677 s to about 77 s. The radiator absorptivity is only increased by 0.15, and its accumulated heat dissipation will be reduced by 7.48 kWh in one orbital period. The radiator emissivity decreased by 0.05, and the accumulated heat dissipation decreased by 1.6 kWh. When the solar azimuth is 20° and 160°, the heat dissipation capacity ratio of the whole module in the sunlit zone is about 0.9 of a single orbital period. It is worth mentioning that the idea of heat dissipation capacity prediction and cooling adjustment proposed in this paper has important reference significance for both fluid network and non-fluid network structures. [ABSTRACT FROM AUTHOR]

Integrated multi-trophic aquaculture (IMTA) has been considered as an ecofriendly culture system providing a potential solution to environmental risks caused by intensive monoculture system. However, the impact of IMTA on phytoplankton remains unclear. In this study, the spatial and temporal variations of phytoplankton in Sanggou Bay were investigated seasonally based on 21 sampling sites covering three cultivation zones (bivalve zone, IMTA zone, and kelp zone) and one control zone (without aquatic cultivation). In total, 128 phytoplankton species, with diatoms and dinoflagellates as the dominant groups, were obtained across the whole year, and the mean Shannon diversity index (H′) and species richness (SR) were determined as 1.39 and 9.39, respectively. The maximum chlorophyll a (Chl-a) (6.32 µg L−1) and plankton diversity (H′ of 1.97) occurred in summer and autumn, respectively. Compared to other zones, the bivalve zone displayed significantly higher Chl-a and lower H′ in majority of time. Pairwise PERMANOVA analysis indicated that the phytoplankton assemblage in the bivalve zone was significantly different with the control and kelp zones, while the IMTA zone maintained close to other three zones. Based on generalized additive models, temperature, NO2−-N, N/P ratio, SiO32−-Si, and salinity were determined as the key factors underlying Chl-a and phytoplankton diversity. Additionally, the results of redundancy analysis further indicated that the phytoplankton assemblage in the bivalve zone is positively related with nutrients such as NO3−-N and NH4+-N as well as water depth, while the phytoplankton assemblages in the kelp, control, and IMTA zones are associated with NO2−-N, SiO32−-Si, and salinity. Taken all observations into consideration together, it can be inferred that IMTA can effectively reduce Chl-a level compared to bivalve monoculture by reducing the nutrients. However, the SR, H′, and species composition of phytoplankton are primarily determined by local environment factors such as temperature, water depth, salinity and SiO32−-Si. [ABSTRACT FROM AUTHOR]

This longitudinal research, grounded in Bandura's social cognitive theory, examined the cross-lagged relations between mathematics self-efficacy (MSE) and mathematics achievement (MACH), and tested how mathematics anxiety (MA) moderated these relations. Data from 777 Taiwanese seventh-graders on MSE, MA, and MACH were collected at multiple points throughout a school year. Structural equational modeling showed that (a) MSE and MACH were bidirectionally related over time, and (b) MA moderated the reciprocal relations between MSE and MACH. Specifically, lower MA amplified the positive association of MSE on MACH (i.e., students with lower MA and higher MSE scored higher in MACH), while higher MA attenuated the positive association. Conversely, higher MA boosted the positive association of MACH on MSE (i.e., students with higher MA and higher MACH reported higher MSE), whereas there was no such pattern among students with lower MA. These findings corroborate the reciprocal MSE-MACH interplay and underscore MA's intriguing role in shaping learning trajectories depending on pathways between MSE and MACH. [ABSTRACT FROM AUTHOR]

Food and ingredient recognition emerges as a pivotal challenge in the domain of computer vision, particularly pertinent to multimedia systems applications. To exploit the intricate relationships between foods and their constituent ingredients, this paper introduces a novel approach termed Multi-Task Knowledge Graph Reasoning for Food and Ingredient Recognition (MTKGR). By integrating a multi-task convolutional neural network model with knowledge graph reasoning, MTKGR achieves significant breakthroughs in ingredient recognition on the ETH Food-101 and Ingredient-101 datasets, propelling the Micro-F1 and Macro-F1 scores to new state-of-the-art heights with improvements of 2.23% and 0.83%, respectively. Specifically, the multi-task model performs joint food and ingredient recognition, while the knowledge graph captures associations between food and ingredient entities. Knowledge graph reasoning is then applied to reconcile errors and inconsistencies in the multi-task model’s predictions. Our proposed Precision and Logits Ranking technique identifies the optimal food-ingredient label combination with maximum concordance with the knowledge graph. The substantial results not only demonstrate MTKGR’s potential in food and ingredient recognition but also showcase the value of fusing deep learning and symbolic reasoning for enhanced visual understanding and intelligent analysis within multimedia systems. [ABSTRACT FROM AUTHOR]