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AIM: To explore the effect of co-host non-coding RNA (ncRNA) MIR503HG/miR-503-5p on the angiogenesis of pterygium. METHODS: MIR503HG/miR-503-5p/fibroblast growth factor 2 (FGF2) expression levels in pterygium tissues, control conjunctival tissues, and human pterygium fibroblasts (HPF) were examined by reverse transcription-polymerase chain reaction (qRT-PCR) and immunohistochemical methods. Effects of MIR503HG/miR-503-5p on low molecular weight FGF2 (LWM FGF2), migration and angiogenesis of human retinal microvascular endothelial cells (HRMEC) were determined in an HPF and HRMEC co-culture model using Western blots, wound healing assay, Matrigel-based tube formation assay, and Transwell assay. RESULTS: MIR503HG/miR-503-5p/FGF2 pathway was actively increased in pterygium tissue and there was a negative correlation between the expression of the two ncRNAs. FGF2 expression level was positively correlated with MIR503HG and negatively correlated with miR-503-5p. Overexpressed MIR503HG/miR-503-5p did not affect the migration and angiogenesis of HRMECs cultured separately, but significantly affected migration and angiogenesis of HRMEC in HPF and HRMEC co-culture models. Western blotting revealed that MIR503HG/miR-503-5p overexpression significantly increased LMW FGF2 expression in HPF. CONCLUSION: MIR503HG/miR-503-5p inhibits HRMEC migration and angiogenic function by interfering with the interaction between HPF and endothelial cells via reducing LMW FGF2 in HPF.

Abstract As the main form of global rural decline, the impact of rural population loss on the overall level and trend of rural multifunction is still unclear. Thus, it is crucial to reveal the characteristics and influencing factors of rural multifunction changes in depopulation areas which is important to actively deal with depopulation and promote sustainable development in rural areas. Based on an evaluation of rural multifunctionality from 2000 to 2020, the spatial statistical analysis method and a geographical model were used to reveal the declining characteristics of rural multifunction in the depopulation area, as well as the effects of the influencing factors in the whole region and under various population size areas. The results show that demographic changes had a significant impact on rural multifunction development. Compared to areas with population growth, the weakening of rural multifunctionality was more likely to occur in counties with depopulation. The negative impact of population shrinkage on rural multifunction development was shown in our results as an inverted “U” shape. In the process of demographic shrinkage, the dominant factors affecting rural multifunctionality in the whole region tended to be diversified, but the population urbanization rate was always the main factor. Among regions with different population sizes, natural factors played important roles in the development of rural multifunction, and depopulation enhanced the impact of economic factors. The interaction effect of natural, social, and economic factors was stronger than that of a single factor in rural multifunction. In the process of depopulation, the interaction effect was more and more polarized. The interaction effect of economic and natural factors enhanced, but which was the most stable in mid-population-size areas. Thus, to alleviate rural decline and realize rural revitalization, the trend of demographic change should be given attention to keep a moderate population size, as well as we should actively deal with the impact of population shrinkage on rural multifunction according to different stages of population shrinkage.

Atlantoaxial dislocation (AAD) is a common craniovertebral junction deformity that can result in severe neurological dysfunction. To better standardize the diagnosis and treatment of AAD, the Spine and Spinal Cord Group, Neurosurgical Branch, Chinese Medical Association, and the Chinese Craniovertebral Junction Malformation Research Alliance published the "Expert consensus on posterior facet distraction and fusion technique for the treatment of atlantoaxial dislocation (2024)" in August 2024. This consensus provides detailed recommendations regarding application range, preoperative evaluation, surgical techniques, and complication management for this procedure, aiming to offer practical guidance for its clinical application. The key points of the expert consensus are summarized and interpreted in this article, to provide reference for clinicians and researchers.

Bacillus mojavensis KRS009 was identified as an antagonistic strain with a strong inhibitory effect on various phytopathogenic fungi. To provide further insight into its biocontrol mechanisms and ability to improve plant salt tolerance, the high quality complete genome of KRS009 was sequenced by PacBio platform and assembled using PacBio-HiFiReads. The KRS009 genome consists of one circular chromosome of 4,089,687 bp with 43.5% GC content and 4,062 open reading frames, of which 3,920 protein-coding genes, 86 transfer RNA, 10 ribosomal RNA, and 26 small RNA were identified in this genome. Among them, genes related to compatible solutes, including treC, galU, proX, and proW, are involved in the synthesis of trehalose, proline, and betaine metabolism and play an important role in relieving osmotic stress. In addition, the KRS009 genome contains genes associated with high salinity tolerance, including those responsible for Na+/H+ antiporters, K+ transporters, TrkH thiamin phosphate synthase, K+-sensing histidine kinase, aryl-phospho-beta-D-glucosidase, flavoprotein CzcO associated with the cation diffusion facilitator CzcD, and chaperonin GroEL. Together, the high-quality genome resource of strain KRS009 would provide a molecular basis for further research on its biocontrol and plant salt tolerance mechanisms. [Figure: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Nosema ceranae, a parasite that parasitizes and reproduces in the gut of honeybees, has become a serious threat to the global apiculture industry. RNA interference (RNAi) technology can be used to inhibit N. ceranae growth by targeting silencing the thioredoxin reductase (TrxR) in N. ceranae. However, suitable carriers are one of the reasons limiting the application of RNAi due to the easy degradation of dsRNA in honeybees. As a vesicle composed of a lipid bilayer, liposomes are a good carrier for nucleic acid delivery, but studies in honeybees are lacking. In this study, liposomes were used for double-stranded RNA (dsRNA) dsTrxR delivery triggering RNAi to inhibit the N. ceranae growth in honeybees. Compared to naked dsTrxR, liposome-dsTrxR reduced N. ceranae numbers in the midgut and partially restored midgut morphology without affecting bee survival and gut microbial composition. The results of this study confirmed that liposomes could effectively protect dsRNA from entering the honeybee gut and provide a reference for using RNAi technology to suppress honeybee pests and diseases.

Abstract Little is known about the long-term effectiveness of risk-based treat-to-target cholesterol-lowering interventions on cardiovascular risk. Here, we show the emulated effectiveness of guideline-recommended low-density and non-high-density lipoprotein cholesterol-lowering interventions using the absolute risk reduction (ARR) and the restricted mean event-free time-based number needed to treat (NNT). With 5,375 participants, the 29-year risks for cardiovascular disease (CVD), all-cause mortality, and atherosclerotic CVD were 18.6%, 25.6%, and 17.7%, respectively. Long-term treat-to-target interventions showed significant reductions in CVD (ARR −2.3%, 95%CI −3.4% to −0.8%; NNT 115), all-cause mortality (−3.0%, −4.3% to −1.8%; 95), and atherosclerotic CVD (−2.6%, −3.5% to −1.2%; 104). Such effects appear more pronounced in women, smokers, and those with body mass index

Introduction: To present a case of two macular holes (MHs) with myopic choroidal neovascularization (CNV) lesion. Case Presentation: A single case was evaluated. A 72-year-old woman presented with two small MHs in her left eye. One year ago, she had undergone vitrectomy for myopic foveal schisis, and a significant reduction of the schisis and a CNV lesion was observed after surgery. On examination, OCT (optical coherence tomography) showed the atrophic CNV and two MHs were located upper and lower close to the edge of the CNV. A PPV (pars plana vitrectomy) with two free ILM (internal limiting membrane) flaps implant was performed in her left eye. At 3 months after surgery, the two macular holes were both closed and the BCVA (best corrected visual acuity) was improved. Conclusions: Two MHs secondary to the regression of CNV after primary PPV combined with complete ILM peeling in eyes with macular schisis.

Abstract Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of cardiovascular disease and diabetes. This study aimed to investigate the association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) and MetS in a large, nationally representative US population. We analyzed data from 28,178 participants in the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Logistic regression models were used to evaluate the association between NPAR and MetS. Restricted cubic spline (RCS) models were employed to assess the dose-response relationship. Mediation analyses were conducted to explore potential mediating effects of serum uric acid and triglyceride-glucose (TyG) index. After adjusting for confounders, participants in the highest NPAR quartile had a 14% higher risk of MetS compared to those in the lowest quartile (OR 1.14, 95%CI 1.03–1.27, P = 0.010). RCS models revealed a monotonic increasing trend between NPAR and MetS risk (P for overall association = 0.002). Mediation analyses showed that serum uric acid and TyG index mediated 14.93% and 29.45% of the total effect of NPAR on MetS, respectively. Subgroup analyses indicated that the positive association between NPAR and MetS was more pronounced in Mexican Americans, individuals aged 20–65 years, those with lower income, males, current smokers, and moderate drinkers. Higher NPAR is associated with increased risk of MetS in the US adult population. This association is partially mediated by serum uric acid and TyG index. These findings suggest that NPAR may serve as a novel biomarker for MetS risk assessment and provide insights into potential mechanisms linking inflammation and metabolic disorders.

Faced with today's increasingly complex market demands, traditional manual warehouse systems are becoming inadequate, necessitating the urgent intelligent transformation and upgrading of warehouse systems. In this context, this paper aims to design a task allocation and path planning strategy for a multi-robot warehouse system to efficiently accomplish mixed single-robot and multi-robot types of warehouse tasks. The study proposes a warehouse task allocation strategy that incorporates traffic flow impact factors into the auction algorithm, optimizing task allocation by predicting robot density in various areas of the environment. For multi-robot formation tasks, a three-robot formation model based on the virtual structure method is designed. Additionally, a two-layer path planning strategy is proposed: the outer layer conducts global path planning based on the Floyd algorithm, while the inner layer resolves various collision issues through traffic rule constraints, achieving local optimal path planning. Simulation experiments conducted on the MATLAB platform show that the multi-robot system can flexibly handle mixed types of warehouse tasks, effectively reducing collision risks between robots and stagnation in dense areas, thereby improving the safety and efficiency of the multi-robot system. This study provides a reference for future research and practical applications of multi-robot systems.

Abstract Chronic Obstructive Pulmonary Disease (COPD) significantly impacts patients’ quality of life and burdens healthcare systems. Magnesium is crucial for lung function and reducing respiratory disease risk. This study investigates the association between Magnesium Depletion Score (MDS) and COPD and explores whether inflammatory markers mediate this relationship. A cross-sectional analysis was conducted using data from 30,490 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. MDS was calculated based on diuretic use, proton pump inhibitors, renal function, and alcohol consumption. Univariable and multivariable logistic regression analyses were performed to assess the association between MDS and COPD, adjusting for potential confounders. Mediation analysis was used to examine the roles of neutrophils, serum albumin, and the Systemic Immune-Inflammation Index (SII). In the univariable logistic model, higher MDS was significantly associated with increased COPD risk. Specifically, compared to MDS = 0, the odds ratios (OR) for COPD were 2.50, 4.12, 6.13, 8.53, and 7.81 for MDS = 1, 2, 3, 4, and 5, respectively (all P

Abstract Background Human Papillomavirus (HPV) infection has garnered significant attention due to its high prevalence and association with various cancers and other health conditions. Composite lifestyle factors may influence the risk of HPV infection, yet their cumulative impact remains insufficiently explored. This study aims to explore the association between the Life’s Essential 8 (LE8) Score and HPV infection status, highlighting the potential role of lifestyle and health behaviors in HPV infection prevention. Methods Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005–2016, we analyzed the health and nutritional statuses of 6,773 participants after excluding those with missing HPV infection status, inability to calculate the LE8 Score, and missing covariate data. The LE8 Score was computed based on eight cardiovascular health metrics, encompassing both health factors (BMI, non-HDL cholesterol, blood pressure, and blood glucose) and health behaviors (physical activity, diet, sleep duration, and nicotine exposure). HPV infection status was determined through vaginal swab specimens analyzed using various Roche assays. Multivariate logistic regression, the restricted cubic splines (RCS) analysis and weighted quantile sum (WQS) regression were employed to assess the association between LE8 Score and HPV infection risk. Results Our findings indicate a significant inverse association between the LE8 Score and HPV infection risk. Participants with medium and high LE8 Scores exhibited a 21% and 31% lower risk of HPV infection, respectively, compared to those with low LE8 Scores in multivariate logistic regression models. The analysis also revealed that lifestyle factors, particularly nicotine exposure and blood pressure, significantly contributed to the observed association. Conclusion The study underscores the importance of healthy lifestyle behaviors in reducing the risk of HPV infection. Public health strategies promoting such behaviors could complement existing HPV prevention measures, potentially lowering the burden of HPV-related diseases. Future research should further investigate the mechanisms underlying this association and the effectiveness of lifestyle interventions in diverse populations.

Based on the concept of Communities of Practice (CoP), this study describes the design and implementation of an online academic conference, Pedagogy and Practice in Technology Enhanced Language Learning (PPTELL) 2021, as a backdrop for exploring how to effectively promote the development of academic citizenship within the PPTELL CoP. To address this, we propose a framework focusing on four interrelated and interdependent dimensions: ubiquitous technologies, social practice, knowledge building, and academic citizenship. The conference utilized Zoom, Second Life, Slido, and several social media apps for various sessions and activities. A triangulation design was employed to analyze data from a post-conference online survey and observation notes. Our findings highlighted the effectiveness of the design in fostering academic citizenship, supported by multiuser virtual worlds like Second Life that enabled social engagement and knowledge building. We also discuss potential solutions to the challenges encountered, taking into account the nature of academic and higher education environments today.

This paper proposes a distance-based doctoral supervisory model to support students in the process of navigating self, agency, and emotions over their doctoral journey. The model emerged through our examination of the lived experiences of three Chinese female doctoral students who, though enrolled as internal students in our New Zealand university, were prevented by the pandemic from returning from their Spring Festival sojourn to China, and continued their study by distance. We employed narrative analysis to deeply engage with their stories shared in diaries and one-on-one interviews, alongside social media interactions. These revealed a strong commitment to study emanating from answerability toward their research projects, already underway, and agentive actions to maintain peer-to-peer academic and emotional support, enabling resilience and reflexivity about personal values and needs. Learning from this experience, we emphasize in our model the need to nurture important bonds between students, their peers and their supervisors in online environments.

Guided by the framework of internationalization at home (IaH), this study employed a mixed-methods approach investigating the development of intercultural communicative competence (ICC) among a group of tertiary English as a Foreign Language (EFL) learners in Taiwan, facilitated through the means of telecollaboration. The telecollaboration incorporated 30 EFL learners and 30 learners of Chinese from Australia and New Zealand. Data collection encompassed EFL learners' responses to a self-assessment questionnaire, their reflective essays, alongside instructors' reflective journals. The findings showed that EFL learners held positive perceptions regarding their telecollaboration experience and reported substantial growth in ICC across three dimensions: cognitive, affective and behavioral. In applying various multimodal communication strategies, EFL learners realized and valued cultural similarities and differences. Their reflective accounts exhibited evidence of enhanced linguistic and cultural competences. The telecollaboration enabled them to increase their confidence in utilizing English, hone their digital literacy skills for effective communications, and establish conducive environments for their relational and emotional development with their teammates and instructors. The latter provided indispensable emotion in varying contingent situations. Incorporating the insights drawn from the instructors' reflective journals, the study argues that telecollaboration as a pedagogical practice is the significant essence of effective IaH curriculum design and implementation.

Background: Ambient temperatures and PM2.5 can trigger myocardial infarction (MI), while little is known about the complex interplay between these two factors on MI, especially morbidity. Objectives: To investigate bidirectional effect modifications of temperature and PM2.5 on MI morbidity and mortality. Methods: A time-stratified case-crossover study was conducted utilizing high-resolution data of temperature and PM2.5, along with 498,077 MI cases from the citywide registry in Beijing, China from 2007 to 2021. A conditional logistic regression model combined with a distributed lag non-linear model was used to examine linear and categorical effect modifications of temperature and PM2.5 on MI morbidity and mortality. Results: The PM2.5 effect on MI morbidity, modified by temperature, showed a progressive increase of odds ratio from 1.013 (95 % CI: 1.001, 1.025) to 1.027 (95 % CI: 1.012, 1.042) with rising temperatures. Stratified analysis revealed a greater PM2.5 effect in high temperature strata (1.049, 95 % CI: 1.029, 1.069) compared with low strata (1.007, 95 % CI: 0.993, 1.021) on MI morbidity (PZ test

Double-stranded RNA (dsRNA) has emerged as key player in gene silencing for the past two decades. Tailor-made dsRNA is now recognized a versatile raw material, suitable for a wide range of applications in biopesticide formulations, including insect control to pesticide resistance management. The mechanism of RNA interference (RNAi) acts at the messenger RNA (mRNA) level, utilizing a sequence-dependent approach that makes it unique in term of effectiveness and specificity compared to conventional agrochemicals. Two primary categories of small RNAs, known as short interfering RNAs (siRNAs) and microRNAs (miRNAs), function in both somatic and germline lineages in a broad range of eukaryotic species to regulate endogenous genes and to defend the genome from invasive nucleic acids. Furthermore, the application of RNAi in crop protection can be achieved by employing plant-incorporated protectants through plant transformation, but also by non-transformative strategies such as the use of formulations of sprayable RNAs as direct control agents, resistance factor repressors or developmental disruptors. This review explores the agricultural applications of RNAi, delving into its successes in pest-insect control and considering its broader potential for managing plant pathogens, nematodes, and pests. Additionally, the use of RNAi as a tool for addressing pesticide-resistant weeds and insects is reviewed, along with an evaluation of production costs and environmental implications.

Gynecological cancers present significant treatment challenges due to drug resistance and adverse side effects. This review explores advancements in lysosomal escape mechanisms, essential for enhancing nano-therapeutic efficacy. Strategies such as pH-sensitive linkers and membrane fusion are examined, showcasing their potential to improve therapeutic outcomes in ovarian, cervical, and uterine cancers. We delve into novel materials and strategies developed to bypass the lysosomal barrier, including pH-sensitive linkers, fusogenic lipids, and nanoparticles (NPs) engineered for endosomal disruption. Mechanisms such as the proton sponge effect, where NPs induce osmotic swelling and rupture of the lysosomal membrane, and membrane fusion, which facilitates the release of therapeutic agents directly into the cytoplasm, are explored in detail. These innovations not only promise to improve therapeutic outcomes but also minimize side effects, marking a significant step forward in the treatment of ovarian, cervical, and uterine cancers. By providing a comprehensive analysis of current advancements and their implications for clinical applications, this review sheds light on the potential of lysosomal escape strategies to revolutionize gynecological cancer treatment, setting the stage for future research and development in this vital area.

Domain adaptation can effectively enhance a model’s performance on target domain data with limited data. However, when some target domain labels are obtainable, training the model with both source and target domain data simultaneously can lead to worse performance due to the lower density of target domain data. If a large amount of target domain data is labeled without discrimination, it will necessitate a considerable expenditure of human resources. To address this issue, this paper proposes a human-in-one-loop active domain adaptation framework based on Target Domain Feature Generation to solve the problems. The oracle participates in only one iteration of data labeling, and a target domain classifier will take over the subsequent rest iterations. An image generator based on multiple CycleGANs forms an iterative co-training mechanism, which can continuously generate more high-quality labeled fake target domain data in iterations to improve the performance of the target domain classifier. The Top-N labeled data selection method with high confidence is devised to select the most accurately predicted data for labeling, reducing manual labeling workload. This framework can achieve an average accuracy of 0.8869 on six domain pairs, doubling the classical domain adaptation method DSN, requiring only a small amount of manual labeling.

The purpose of this study was to comparative analyze the diagnostic efficiency of Thyroid Imaging Reporting and Data System proposed by Kwak, American College of Radiology, the European Thyroid Association and the Chinese Medical Association, respectively (Kwak TI-RADS, ACR TI-RADS, EU-TIRADS and C-TIRADS, respectively) for malignant risk stratification of thyroid nodules. A total of 1142 thyroid nodules confirmed by cytological or surgical pathologies were retrospectively classified according to Kwak TI-RADS, ACR TI-RADS, EU-TIRADS and C-TIRADS. The area under the receiver operating characteristic curve (AUC), the diagnostic sensitivity, specificity, Youden index, and accuracy of each TI-RADS for nodules was calculated and compared. The diagnostic sensitivity of ACR TI-RADS was 85.5%, which was lowest (all P 0.05). The AUC of C-TIRADS was highest among the four methods (all P

Abstract Graphene growth on widely used dielectrics/insulators via chemical vapor deposition (CVD) is a strategy toward transfer-free applications of CVD graphene for the realization of advanced composite materials. Here, we develop graphene-skinned alumina fibers/fabrics (GAFs/GAFFs) through graphene CVD growth on commercial alumina fibers/fabrics (AFs/AFFs). We reveal a vapor-surface-solid growth model on a non-metallic substrate, which is distinct from the well-established vapor-solid model on conventional non-catalytic non-metallic substrates, but bears a closer resemblance to that observed on catalytic metallic substrates. The metalloid-catalytic growth of graphene on AFs/AFFs resulted in reduced growth temperature (~200 °C lower) and accelerated growth rate (~3.4 times faster) compared to that obtained on a representative non-metallic counterpart, quartz fiber. The fabricated GAFF features a wide-range tunable electrical conductivity (1-15000 Ω sq−1), high tensile strength (>1.5 GPa), lightweight, flexibility, and a hierarchical macrostructure. These attributes are inherited from both graphene and AFF, making GAFF promising for various applications including electrical heating and electromagnetic interference shielding. Beyond laboratory level preparation, the stable mass production of large-scale GAFF has been achieved through a home-made roll-to-roll system with capacity of 468-93600 m2/year depending on product specifications, providing foundations for the subsequent industrialization of this material, enabling its widespread adoption in various industries.

KRS022 was isolated from the rhizosphere soil of a healthy plant in a pathogen-infested cotton field in Xinjiang, China. Previous studies have demonstrated that KRS022 possesses the ability to trigger plant immune responses, inhibit the growth of various pathogenic fungi, including Verticillium dahliae, and promote plant growth. The antagonistic properties of KRS022 primarily stem from its bioactive metabolites. In this study, the high-quality genome of KRS022 was obtained. The KRS022 genome consists of a chromosome of 6,369,026 bp with 67.09% GC content and possesses 5,830 open reading frames, of which 5,186 genes were annotated, and 119 were ncRNA genes. Additionally, 11 gene clusters of secondary metabolites biosynthesis were predicted, involved in polyketide synthase, arylpolyene, NAGGN, beta-lactone, ranthipeptide, PiPP-like, redox cofactor, and non-ribosomal peptide-synthetase clusters. It could be useful to explore the biocontrol potential of P. tohonis, implying promising application of KRS022 to biological control. [Figure: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

The construction of lunar bases is one of the core enabling technologies in current lunar exploration and development plans of various countries. However, to eliminate the constraints of high transportation costs and limited manned space technology, a new research plan is to employ multi robot teams to build lunar bases. The key to this solution is how to achieve path planning for complex tasks for multiple robots. Therefore, this article takes the exploration and collection area, lunar soil collection, and lunar soil transportation in the lunar base construction scene as complex task inputs, and studies a multi robot path planning modeling method based on Petri net model. Firstly, a Petri net model for multi robot motion was constructed. Meanwhile, linear temporal logic(LTL) language was used to describe the related tasks of lunar base construction. Finally, simulation validation was conducted in Matlab software and compared with the modeling method using switching systems. The results show that the total modeling time required for using the Petri net model is reduced by two orders of magnitude compared to the modeling time for a single task switching system model, indicating that the established Petri net multi robot model has advantages such as avoiding dimension explosion and computational efficiency.

Abstract We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting steatosis using B-mode US images. A private dataset (153 patients; 1530 images) and a public dataset (55 patient; 550 images) were included in this retrospective study. The datasets contained patients with metabolic dysfunction-associated fatty liver disease (MAFLD) with biopsy-proven steatosis grades and control individuals without steatosis. We employed four data partitioning strategies to simulate FL scenarios and we assessed four FL algorithms. We investigated the impact of class imbalance and the mismatch between the global and local data distributions on the learning outcome. Classification performance was assessed with area under the receiver operating characteristic curve (AUC) on a separate test set. AUCs were 0.93 (95% CI 0.92, 0.94) for source-based partitioning scenario with FedAvg, 0.90 (95% CI 0.89, 0.91) for a centralized model, and 0.83 (95% CI 0.81, 0.85) for a model trained in a single-center scenario. When data was perfectly balanced on the global level and each site had an identical data distribution, the model yielded an AUC of 0.90 (95% CI 0.88, 0.92). When each site contained data exclusively from one single class, irrespective of the global data distribution, the AUC fell in the range of 0.34–0.70. FL applied to B-mode US images provide performance comparable to a centralized model and higher than single-center scenario. Global data imbalance and local data heterogeneity influenced the learning outcome.

Abstract Direct chemical vapor deposition (CVD) growth of graphene on dielectric/insulating materials is a promising strategy for subsequent transfer-free applications of graphene. However, graphene growth on noncatalytic substrates is faced with thorny issues, especially the limited growth rate, which severely hinders mass production and practical applications. Herein, graphene glass fiber fabric (GGFF) is developed by graphene CVD growth on glass fiber fabric. Dichloromethane is applied as a carbon precursor to accelerate graphene growth, which has a low decomposition energy barrier, and more importantly, the produced high-electronegativity Cl radical can enhance adsorption of active carbon species by Cl–CH2 coadsorption and facilitate H detachment from graphene edges. Consequently, the growth rate is increased by ~3 orders of magnitude and carbon utilization by ~960-fold, compared with conventional methane precursor. The advantageous hierarchical conductive configuration of lightweight, flexible GGFF makes it an ultrasensitive pressure sensor for human motion and physiological monitoring, such as pulse and vocal signals.

Understanding how environmental factors influence the responsiveness of crop yield to growing season precipitation (GSP) can reduce the risk of yield fluctuations, ensuring stable crop production. This study involved the cultivation of rainfed potatoes at three locations within the climatic transition zone of Northwest China. We employed stepwise linear regression and machine learning techniques to pinpoint the key environmental factors influencing potato tuber yield and the yield-precipitation relationship. The slope of the water-limited yield potential relationship for potatoes was determined to be 172.1 ​kg ​ha−1 ​mm−1, with an intercept at 121.2 ​mm. The potato tuber yield exhibited an upward trend with increasing GSP but declined once the precipitation exceeded 400 ​mm. However, GSP alone explained up to 30% of the variability in potato tuber yield. Factors such as soil moisture at planting, maximum temperatures during the tuber stolon initiation and bulking stages, diurnal temperature fluctuations at maturity, and excessive precipitation events during the growing season significantly influenced potato tuber yield, and consequently, the relationship between yield and GSP. Conversely, climatic factors accounted for more than 63% of the variation in potato tuber yield, with the multiple linear regression model yielding the best results. This was especially evident when the yield-precipitation relationship was categorized into two groups based on the amount and distribution of GSP, maximum temperature, and radiation levels. This analysis suggested that preventing unnecessary water evaporation when precipitation is low, improving drainage when precipitation is high, and planting potato on an optimal date can advance potato production.

Reinforcement learning is now being applied more and more in a variety of scenarios, the majority of which are based on the deep Q network (DQN) technology. However, the algorithm is heavily influenced by multiple factors. In this paper, we take the lunar lander as a case to study how various hyper-parameters affect the performance of the DQN algorithm, based on which we tune to get a model with better performance. At present, it is known that the DQN model has an average reward of 280+ on 100 test episodes, and the reward value of the model in this article can reach 290+. Meanwhile, its robustness is tested and verified by introducing additional uncertainty tests into the original problem. In addition, to speed up the training process, imitation learning is incorporated in our model, using heuristic function model guidance method to obtain demonstration data, which accelerates training speed and improves performance. Simulation results have proven the effectiveness of this method.