Multi-relational graph contrastive learning with learnable graph augmentation.

Multi-relational graph learning aims to embed entities and relations in knowledge graphs into low-dimensional representations, which has been successfully applied to various multi-relationship prediction tasks, such as information retrieval, question answering, and etc. Recently, contrastive learning has shown remarkable performance in multi-relational graph learning by data augmentation mechanisms to deal with highly sparse data. In this paper, we present a Multi-Relational Graph Contrastive Learning architecture (MRGCL) for multi-relational graph learning. More specifically, our MRGCL first proposes a Multi-relational Graph Hierarchical Attention Networks (MGHAN) to identify the importance between entities, which can learn the importance at different levels between entities for extracting the local graph dependency. Then, two graph augmented views with adaptive topology are automatically learned by the variant MGHAN, which can automatically adapt for different multi-relational graph datasets from diverse domains. Moreover, a subgraph contrastive loss is designed, which generates positives per anchor by calculating strongly connected subgraph embeddings of the anchor as the supervised signals. Comprehensive experiments on multi-relational datasets from three application domains indicate the superiority of our MRGCL over various state-of-the-art methods. Our datasets and source code are published at https://github.com/Legendary-L/MRGCL.

The key to intestinal health: a review and perspective on food additives.

In this review, we explore the effects of food additives on intestinal health. Food additives, such as preservatives, antioxidants and colorants, are widely used to improve food quality and extend shelf life. However, their effects on intestinal microecology May pose health risks. Starting from the basic functions of food additives and the importance of intestinal microecology, we analyze in detail how additives affect the diversity of intestinal flora, oxidative stress and immune responses. Additionally, we examine the association between food additives and intestinal disorders, including inflammatory bowel disease and irritable bowel syndrome, and how the timing, dosage, and individual differences affect the body's response to additives. We also assess the safety and regulatory policies of food additives and explore the potential of natural additives. Finally, we propose future research directions, emphasizing the refinement of risk assessment methods and the creation of safer, innovative additives.

Advanced lung cancer inflammation index is associated with mortality in critically ill patients with heart failure.

AIMS: Nutrition and inflammation status play a vital role in the prognosis of patients with heart failure (HF). This study aimed to investigate the association between the advanced lung cancer inflammation index (ALI), a novel composite indicator of inflammation and nutrition, and short-term mortality among critically ill patients with HF. METHODS: This retrospective study included 548 critically ill patients with HF from the MIMIC-IV database. ALI was computed using body mass index, serum albumin and neutrophil-lymphocyte ratio. The primary endpoint was all-cause in-hospital mortality, and the secondary endpoint was 90 day mortality. Kaplan-Meier survival curve analysis with long-rank test and Cox proportional hazards regression models were employed to assess the relationship between baseline ALI and short-term mortality risk. The incremental predictive ability of ALI was evaluated by C-statistic, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS: The average age of 548 patients was 72.2 (61.9, 82.1) years, with 60% being male. Sixty-three patients (11.5%) died in the hospital, and 114 patients (20.8%) died within 90 days of intensive care unit admission. The Kaplan-Meier analysis revealed that the cumulative incidences of both in-hospital and 90 day mortality were significantly higher in patients with lower ALI (log-rank test, in-hospital mortality: P < 0.001; 90 day mortality: P < 0.001). The adjusted Cox proportional hazard model revealed that ALI was inversely associated with both in-hospital and 90 day mortality after adjusting for confounders [hazard ratio (HR) (95% confidence interval) (CI): 0.97 (0.94, 0.99), P = 0.035; HR (95% CI): 0.62 (0.39, 0.99), P = 0.046]. A linear relationship was observed between ALI and in-hospital mortality (P for non-linearity = 0.211). The addition of ALI significantly improved the prognostic ability of GWTG-HF score in the in-hospital mortality [C-statistic improved from 0.62 to 0.68, P = 0.001; continuous NRI (95% CI): 0.44 (0.20, 0.67), P < 0.001; IDI (95% CI): 0.03 (0.01, 0.04), P < 0.001] and 90 day mortality [C-statistic improved from 0.63 to 0.70, P < 0.001; continuous NRI (95% CI): 0.31 (0.11, 0.50), P = 0.002; IDI (95% CI): 0.01 (0.00, 0.02), P = 0.034]. Subgroup analysis revealed stronger correlations between ALI and in-hospital mortality in males and patients aged over 65 years (interaction P = 0.031 and 0.010, respectively). The C-statistic of in-hospital mortality in patients over 65 years was 0.66 (95% CI: 0.58, 0.74). CONCLUSIONS: ALI at baseline can independently predict the risk of short-term mortality in critically ill patients with HF, with lower ALI significantly associated with higher mortality. Further large prospective research with extended follow-up periods is necessary to validate the findings of this study.

Breaking the Lithiation Barrier via Tailored-Design Facile Kinetic Pathways in TiO2(B) Realizing 50C Ultrafast Charging.

As a promising anode material for fast charging lithium-ion batteries, bronze-phase titanium dioxide (TiO2(B)) still faces the challenge of sluggish Li+ diffusion kinetics in the solid phase during lithiation/delithiation processes. Herein, a facile synthetic strategy has been proposed to optimize the microstructure of TiO2(B), which enables facilitated lithiation and therefore significantly improved rate performance. The rice-granular nanoparticles with precisely controlled aspect ratios (AR) can be obtained via manipulating the ligand concentrations that affect nucleation and oriented attachment processes, as well as adjusting the calcination temperatures to control the Oswald ripening process. As a result, the smaller ab plane in rice-granular TiO2(B) enhances Li+ diffusion efficiency on C' site and inhibits the inhomogeneity of Li+ between inter and inside particles. Benefiting from breaking the Li+ diffusion kinetics, the rice-granular TiO2(B) maintains a high specific capacity of 159.5 mAh g-1 at 50C, with an excellent capacity retention ratio of 93.67% after 5000 cycles at 10C. This work provides an efficient and simple strategy to minimize the challenging lithiation paths in TiO2(B) anode, and offers new opportunities for high rate battery design.

Osteoprotective effect of Achyranthes bidentata root extract on osteoporotic rats: a systematic review and meta-analysis.

CONTEXT: Achyranthes bidentata Blume (ABB), a plant of Amaranthaceae family, has been one of the more commonly used phytomedicine remedies for thousands of years, and recent studies have highlighted the efficacy of its extracts in the treatment of osteoporosis. Nonetheless, a thorough analysis of its benefits is currently absent. OBJECTIVE: This meta-analysis assessed the effects of ABB root extract (ABBRE) on osteoporotic rats and provides a rationale for future clinical studies. METHODS: Searches were conducted in seven different Chinese and English databases, and the search period was from their establishment to January 2024. This study was registered in PROSPERO (CRD42023418917). Selected research regarding the ABBRE treatment of osteoporotic rats, and the corresponding research has distinctly reported outcomes, and the data on the bone mineral density (BMD), bone histomorphometrics, biomechanical parameters, and bone biochemical markers of osteoporotic rats can be extracted. RESULTS: Through screening, 11 studies met the eligibility requirements for inclusion, in which 222 animals were studied. The treatment group with ABBRE exhibited increased bone mineral density (standardized mean difference [SMD] = 1.64, 95% CI = 0.52 to 2.77). Based on subgroup analysis, the greatest increase in bone mineral density was observed when the dose of ABBRE was ≤ 400 mg/kg/day and the duration of treatment was ≤ 12 weeks. CONCLUSIONS: ABBRE is a phytomedicine that can effectively promote the enhancement of bone mineral density and ease osteoporosis. It can be developed into a new alternative therapy by conducting experiments and clinical studies on larger samples.

Erratum to "Ultrasound Controllable Release of Proteolysis Targeting Chimeras for Triple-Negative Breast Cancer Treatment".

[This corrects the article DOI: 10.34133/bmr.0064.].

Gastrointestinal image stitching based on improved unsupervised algorithm.

Image stitching is a traditional but challenging computer vision task. The goal is to stitch together multiple images with overlapping areas into a single, natural-looking, high-resolution image without ghosts or seams. This article aims to increase the field of view of gastroenteroscopy and reduce the missed detection rate. To this end, an improved depth framework based on unsupervised panoramic image stitching of the gastrointestinal tract is proposed. In addition, preprocessing for aberration correction of monocular endoscope images is introduced, and a C2f module is added to the image reconstruction network to improve the network's ability to extract features. A comprehensive real image data set, GASE-Dataset, is proposed to establish an evaluation benchmark and training learning framework for unsupervised deep gastrointestinal image splicing. Experimental results show that the MSE, RMSE, PSNR, SSIM and RMSE_SW indicators are improved, while the splicing time remains within an acceptable range. Compared with traditional image stitching methods, the performance of this method is enhanced. In addition, improvements are proposed to address the problems of lack of annotated data, insufficient generalization ability and insufficient comprehensive performance in image stitching schemes based on supervised learning. These improvements provide valuable aids in gastrointestinal examination.

Atypical effective connectivity from the frontal cortex to striatum in alcohol use disorder.

Alcohol use disorder (AUD) is a profound psychiatric condition marked by disrupted connectivity among distributed brain regions, indicating impaired functional integration. Previous connectome studies utilizing functional magnetic resonance imaging (fMRI) have predominantly focused on undirected functional connectivity, while the specific alterations in directed effective connectivity (EC) associated with AUD remain unclear. To address this issue, this study utilized multivariate pattern analysis (MVPA) and spectral dynamic causal modeling (DCM). We recruited 32 abstinent men with AUD and 30 healthy controls (HCs) men, and collected their resting-state fMRI data. A regional homogeneity (ReHo)-based MVPA method was employed to classify AUD and HC groups, as well as predict the severity of addiction in AUD individuals. The most informative brain regions identified by the MVPA were further investigated using spectral DCM. Our results indicated that the ReHo-based support vector classification (SVC) exhibits the highest accuracy in distinguishing individuals with AUD from HCs (classification accuracy: 98.57%). Additionally, our results demonstrated that ReHo-based support vector regression (SVR) could be utilized to predict the addiction severity (alcohol use disorders identification test, AUDIT, R2 = 0.38; Michigan alcoholism screening test, MAST, R2 = 0.29) of patients with AUD. The most informative brain regions for the prediction include left pre-SMA, right dACC, right LOFC, right putamen, and right NACC. These findings were validated in an independent data set (35 patients with AUD and 36 HCs, Classification accuracy: 91.67%; AUDIT, R2 = 0.17; MAST, R2 = 0.20). The results of spectral DCM analysis indicated that individuals with AUD exhibited decreased EC from the left pre-SMA to the right putamen, from the right dACC to the right putamen, and from the right LOFC to the right NACC compared to HCs. Moreover, the EC strength from the right NACC to left pre-SMA and from the right dACC to right putamen mediated the relationship between addiction severity (MAST scores) and behavioral measures (impulsive and compulsive scores). These findings provide crucial evidence for the underlying mechanism of impaired self-control, risk assessment, and impulsive and compulsive alcohol consumption in individuals with AUD, providing novel causal insights into both diagnosis and treatment.

A Surface-Enhanced Raman Scattering Substrate with Tunable Localized Surface Plasmon Resonance Absorption Based on AgNPs.

In this paper, a three-layer structure of silver particle (AgNP)-dielectric-metal is proposed and constructed based on the characteristics of AgNPs that can excite LSPR (Localized Surface Plasmon Resonance) in free space. In order to overcome the problem of AgNPs easily oxidizing in the air, this paper synthesizes AgNPs using the improved Tollens method and effectively suppresses the coffee-ring effect by changing the solution evaporation conditions, so that the distribution of AgNPs in the deposition area is relatively uniform. The structure proposed in this paper takes advantage of the flexibility of nanoparticle application. The AgNPs deposited on the dielectric layer can effectively localize energy and regulate the LSPR of the device well. The structure can not only achieve precise regulation of the LSPR resonance peak of AgNPs but also can be used as a SERS substrate.

How much tidal volume is sufficiently low to be called "protective lung ventilation".

Ultra-low tidal volume (ULT) is an appealing alternative for severe acute respiratory distress syndrome (ARDS) patients with the aim to alleviate excess lung stress and strain. A recent article showed that ULT without extracorporeal carbon dioxide removal did not improve prognosis in moderate-to-severe coronavirus disease 2019-related ARDS patients. However, several reasons should be considered before drawing the definite conclusion about the ULT strategy in severe ARDS.

Simulation-Guided Preparation of Copper Chalcogenide Nanoparticle-Based Transparent Photothermal Coating with Enhanced Deicing Performance.

In this investigation, transparent photothermal coatings utilizing plasmonic copper chalcogenide (Cu2-xS) nanoparticles were designed and fabricated for the deicing of glass surfaces. Cu2-xS nanoparticles, chosen for their high near-infrared (NIR) absorption and efficient photothermal conversion, were analyzed via finite difference time domain (FDTD) simulations to optimize nanoparticle morphology, thus avoiding costly trial-and-error synthesis. FDTD simulations determined that Cu2-xS nanorods (Cu-NRs) with an optimal aspect ratio of 2.2 had superior NIR absorption. Guided by FDTD simulations, the composite coating composed of Cu-NRs in clear acrylic resin paint was brush-coated to glass, achieving 62.4% visual transmittance and over 95% NIR absorbance. Photothermal conversion tests exhibited a significant temperature increase, with the coating reaching 65 °C under NIR irradiation within 6 min. The dynamic deicing process of ice beads on the coating at -20 °C completed within 220s, in contrast to the frozen state on glass coated with clear acrylic resin paint. Furthermore, heat transfer simulations in COMSOL illustrated melting initiation at the ice-coating interface and subsequent progression through the ice layer. This simulation-driven synthesis method and photothermal testing offer a design framework for the fabrication of photothermal deicing coatings with applications for automobiles, buildings, and aircraft in cold environments.

A framework of insole blanking robot based on adaptive edge detection and FSPS-BIT* path planning.

Insole blanking production technology plays a vital role in contemporary machining and manufacturing industries. Existing insole blanking production models have limitations because most robots are required to accurately position the workpiece to a predetermined location, and special auxiliary equipment is usually required to ensure the precise positioning of the robot. In this paper, we present an adaptive blanking robotic system for different lighting environments, which consists of an industrial robot arm, an RGB-D camera configuration, and a customized insole blanking table and mold. We introduce an innovative edge detection framework that utilizes color features and morphological parameters optimized through particle swarm optimization (PSO) techniques to Adaptive recognition of insole edge contours. A path planning framework based on FSPS-BIT* is also introduced, which integrates the BIT* algorithm with the FSPS algorithm for efficient path planning of the robotic arm.

A Bayesian latent-subgroup platform design for dose optimization.

The US Food and Drug Administration launched Project Optimus to reform the dose optimization and dose selection paradigm in oncology drug development, calling for the paradigm shift from finding the maximum tolerated dose to the identification of optimal biological dose (OBD). Motivated by a real-world drug development program, we propose a master-protocol-based platform trial design to simultaneously identify OBDs of a new drug, combined with standards of care or other novel agents, in multiple indications. We propose a Bayesian latent subgroup model to accommodate the treatment heterogeneity across indications, and employ Bayesian hierarchical models to borrow information within subgroups. At each interim analysis, we update the subgroup membership and dose-toxicity and -efficacy estimates, as well as the estimate of the utility for risk-benefit tradeoff, based on the observed data across treatment arms to inform the arm-specific decision of dose escalation and de-escalation and identify the OBD for each arm of a combination partner and an indication. The simulation study shows that the proposed design has desirable operating characteristics, providing a highly flexible and efficient way for dose optimization. The design has great potential to shorten the drug development timeline, save costs by reducing overlapping infrastructure, and speed up regulatory approval.

Engineered Cell Elongation Promotes Extracellular Electron Transfer of Shewanella Oneidensis.

To investigate how cell elongation impacts extracellular electron transfer (EET) of electroactive microorganisms (EAMs), the division of model EAM Shewanella oneidensis (S. oneidensis) MR-1 is engineered by reducing the formation of cell divisome. Specially, by blocking the translation of division proteins via anti-sense RNAs or expressing division inhibitors, the cellular length and output power density are all increased. Electrophysiological and transcriptomic results synergistically reveal that the programmed cell elongation reinforces EET by enhancing NADH oxidation, inner-membrane quinone pool, and abundance of c-type cytochromes. Moreover, cell elongation enhances hydrophobicity due to decreased cell-surface polysaccharide, thus facilitates the initial surface adhesion stage during biofilm formation. The output current and power density all increase in positive correction with cellular length. However, inhibition of cell division reduces cell growth, which is then restored by quorum sensing-based dynamic regulation of cell growth and elongation phases. The QS-regulated elongated strain thus enables a cell length of 143.6 ± 40.3 µm (72.6-fold of that of S. oneidensis MR-1), which results in an output power density of 248.0 ± 10.6 mW m-2 (3.41-fold of that of S. oneidensis MR-1) and exhibits superior potential for pollutant treatment. Engineering cellular length paves an innovate avenue for enhancing the EET of EAMs.

The effect of hetrombopag combined with conventional treatment on immune function and quality of life in patients with severe aplastic anemia.

This study aimed to investigate the effect of hetrombopag combined with conventional treatment on immune function in patients with severe aplastic anemia (SAA). Patients were categorized into the control group (n = 50, receiving conventional treatment only) and experimental group (n = 50, receiving hetrombopag combined with conventional treatment). Before treatment and at weeks 18, 24, and 52 after treatment, the two groups were compared in routine blood test indicators, natural killer (NK) cell activity, and peripheral blood inflammatory factor levels. The overall remission rate and incidence of adverse events were also compared between the two groups. Outpatient or telephone follow-up was performed before treatment and at weeks 18, 24, and 52 after treatment to observe patients' immune function, treatment outcome, quality of life, and adverse events. Hemoglobin (Hb), and platelet count (PLT) (P < 0.05), and a rise in NK cell activity (P < 0.05). Interleukin (IL-10) levels were significantly higher, while IL-6 levels were significantly lower in the experimental group compared to the control group (P < 0.05). After receiving the treatment, all scores of SF-36 domains in both groups were higher than before treatment, particularly with higher scores in the experimental group (P < 0.05). Hetrombopag combined with conventional treatment improved the immune function and hematopoiesis of patients with SAA.

Suprathreshold Water Spray Stimulus Enhances Plant Defenses against Biotic Stresses in Tomato.

Mechanical stimuli can affect plant growth, development, and defenses. The role of water spray stimulation, as a prevalent mechanical stimulus in the environment, in crop growth and defense cannot be overlooked. In this study, the effects of water spray on tomato plant growth and defense against the chewing herbivore Helicoverpa armigera and necrotrophic fungus Botrytis cinerea were investigated. Suprathreshold water spray stimulus (LS) was found to enhance tomato plant defenses against pests and pathogens while concurrently modifying plant architecture. The results of the phytohormone and chemical metabolite analysis revealed that LS improved the plant defense response via jasmonic acid (JA) signaling. LS significantly elevated the level of a pivotal defensive metabolite, chlorogenic acid, and reduced the emissions of volatile organic compounds (VOCs) from tomato plants, thereby defending against pest and pathogen attacks. The most obvious finding to emerge from this study is that LS enhances tomato plant defenses against biotic stresses, which will pave the way for further work on the application of mechanical stimuli for pest management.

Genetic Variability and Evolutionary Dynamics of Papaya Ringspot Virus and Papaya Leaf Distortion Mosaic Virus Infecting Feral Papaya in Hainan Island.

The commercialized genetically modified (GM) papaya cultivars have protected papaya from the devastating disease caused by papaya ringspot virus (PRSV). However, papaya leaf distortion mosaic virus (PLDMV), which causes similar infection symptoms but is serologically distinct from PRSV, was found as a competitive threat to the papaya industry. Our study surveyed the occurrence of PRSV and PLDMV as well as the transgenic markers of the 35S promoter from cauliflower mosaic virus (CaMV 35S) and the neomycin phosphotransferase II (NPT II) gene in feral papaya plants, which were found frequently growing outside of cultivated papaya fields on Hainan Island. In total, 123 feral papayas, comprising 62 (50.4%) GM plants and 61 (49.6%) non-GM ones, were sampled. Among them, 23 (18.7%) were positive for PRSV, 49 (39.8%) were positive for PLDMV, including 5 plants co-infected by PRSV and PLDMV, and 56 (45.5%) plants were free of either virus. In traditional papaya growing regions, we detected fewer PRSV-infected plants (2 in 33, 6%) than in other regions (21 in 90, 23%). But overall, whether transgenic or not made no significance in PRSV incidence (P=0.230), with 9 PRSV-infected plants among 62 GM papayas and 14 among 61 non-GM papayas. Phylogenetic and genetic differentiation analysis showed a clear correlation between PRSV and PLDMV populations and their geographical origins. Negative selection was estimated for the selected gene regions of both viruses. Notably, PLDMV has deviated from neutral evolution and experienced population expansion, exhibiting increased genetic diversity and is becoming the predominant threat to papaya in Hainan.