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This research proposes a low-cost system consisting of a hardware setup and a deep learning-based model to estimate broiler chickens’ feed intake, utilizing audio signals captured by piezoelectric sensors. The signals were recorded 24/7 for 19 consecutive days. A subset of the raw data was chosen, and events were labeled in two classes, feed-pecking and non-pecking (including singing, anomaly, and silence samples). Next, the labeled data were preprocessed through a noise removal algorithm and a band-pass filter. Then, the spectrogram and the signal envelope were extracted from each signal and fed as inputs to a VGG-16-based convolutional neural network (CNN) with two branches for 1D and 2D feature extraction followed by a binary classification head to classify feed-pecking and non-pecking events. The model achieved 92% accuracy in feed-pecking vs. non-pecking events classification with an f1-score of 91%. Finally, the entire raw dataset was processed utilizing the developed model, and the resulting feed intake estimation was compared with the ground truth data from scale measures. The estimated feed consumption showed an 8 ± 7% mean percent error on daily feed intake estimation with a 71% R2 score and 85% Pearson product moment correlation coefficient (PPMCC) on hourly intake estimation. The results demonstrate that the proposed system estimates broiler feed intake at each feeder and has the potential to be implemented in commercial farms.

Long pressure short extraction ventilation and dust removal method is one of the effective methods for removing high mass concentration dust in the excavation area of coal mine comprehensive heading face. Especially, the local flow field generated by the combination of pressure and suction is conducive to the removal and reduction of respiratory dust. However, the dynamic changes in the location of dust production sources have an unclear impact on the dust removal performance of this method. By considering the movement paths and reciprocating times of the dust source location in both horizontal and vertical directions, four dust source movement paths were designed based on the long pressure short extraction test platform. Combined with the regulation of the parameters of the long pressure short extraction ventilation system, the impact of the dust source on the spatial dust mass concentration, particle size mass concentration, and particle size distribution under different movement conditions was tested and analyzed. The results show that under the same ventilation parameters, the dust mass concentration caused by the horizontal path on the respiratory belt positions of drivers and pedestrians is lower than that caused by the vertical path. In the horizontal path, when the pressure air duct is located on the side near the exhaust duct and the pressure air outlet is located in an area about 1 m in front of the driver, the particle size mass concentrations of PM1, PM2.5 and PM10 at the breathing zone between the driver and pedestrian are the lowest, and the ventilation and dust removal effect is the best. The diffusion of spatial dust is manifested as: particles with a particle size less than 2.5 µm are easily collected and removed by the exhaust flow field at the exhaust port, while the particles with a particle size greater than 10 µm will escape from the dust generation source and exhaust area to the driver and the area behind them, and mainly settle naturally. Based on the optimal dust source movement path and ventilation parameters obtained from preliminary experiments, on-site experiments were conducted on the 2304 fully mechanized heading face of a coal mine in northern Shaanxi. The results show that the total dust mass concentration at the driver's position and pedestrian breathing zone position under the lateral path decreased to 85.6 mg/m3 and 21.9 mg/m3, respectively, with the highest dust reduction rate reaching 76.9%. The mass concentration of respirable dust decreased to 15.3 mg/m3 and 10.5 mg/m3 respectively, with a maximum dust reduction rate of 85.2% and the dust removal performance was significantly improved.

There are various forms of multilateral horizontal wells for developing coalbed methane, and the role of cleats in the development process is unclear. It is necessary to investigate the impact of the discrete cleat distribution in coal seams and the multilateral horizontal well configuration on gas well productivity. Based on the density and orthogonal characteristics of face and butt cleats in coal seams, the low density, medium density, and high density discrete cleat systems in coal seams are constructed using random methods. Combined with four different forms of multilateral horizontal wells, namely equal-length type, spindle type, staggered type, and dumbbell type, a physical model for developing coalbed methane using multilateral horizontal wells is constructed. The stress sensitive model of coal matrix and cleat system is established considering the effective stress change of coal seams and the matrix shrinkage effect in the development process. The desorption of coal-bed methane is calculated using Langmuir theorem, and a development model of compressible coal-bed methane flowing in the coupling of coal matrix, cleat system and multi branch horizontal wells is established. Furthermore, the influence of the cleat density and the configuration of multilateral horizontal wells on the development of coal-bed methane is studied. The results show that the discrete cleats in coal seams can greatly increase the drainage area of multilateral horizontal wells in a short period of development time, but are only limited to the cleats directly connected to multilateral horizontal wells and surrounding matrix areas. The parts that are not connected to multilateral horizontal wells require longer development time, which is also an important reason for gas wells to achieve peak production in a short period of time and quickly reduce production. The drainage area controlled by equal-length multilateral horizontal wells is the largest, while the drainage area of staggered type, dumbbell type, and spindle type decreases sequentially. When the cleat density is the same in the coal seams, the daily peak production and cumulative production within 20 years of the equal-length multilateral horizontal wells are higher than those of the other three types of multilateral horizontal wells, which can achieve better development results. By increasing the angle between the main and secondary wellbore of multilateral horizontal wells, the development effect of equal-length multilateral horizontal wells becomes much better, and the peak daily production of spindle multilateral horizontal wells is significantly improved. The peak daily production of staggered and dumbbell multilateral horizontal wells is more sensitive to the number of branches. The number of branches in spindle multilateral horizontal wells should not be less than eight, while the number of branches in the dumbbell multilateral wells should not be more than six.

Abstract Background Endometriosis (EMs) is an enigmatic disease of yet-unknown pathogenesis. Disulfidptosis, a novel identified form of programmed cell death resulting from disulfide stress, stands a chance of treating diverse ailments. However, the potential roles of disulfidptosis-related genes (DRGs) in EMs remain elusive. This study aims to thoroughly explore the key disulfidptosis genes involved in EMs, and probe novel diagnostic markers and candidate therapeutic compounds from the aspect of disulfidptosis based on bioinformatics analysis, machine learning, and animal experiments. Results Enrichment analysis on key module genes and differentially expressed genes (DEGs) of eutopic and ectopic endometrial tissues in EMs suggested that EMs was closely related to disulfidptosis. And then, we obtained 20 and 16 disulfidptosis-related DEGs in eutopic and ectopic endometrial tissue, respectively. The protein-protein interaction (PPI) network revealed complex interactions between genes, and screened nine and ten hub genes in eutopic and ectopic endometrial tissue, respectively. Furthermore, immune infiltration analysis uncovered distinct differences in the immunocyte, human leukocyte antigen (HLA) gene set, and immune checkpoints in the eutopic and ectopic endometrial tissues when compared with health control. Besides, the hub genes mentioned above showed a close correlation with the immune microenvironment of EMs. Furthermore, four machine learning algorithms were applied to screen signature genes in eutopic and ectopic endometrial tissue, including the binary logistic regression (BLR), the least absolute shrinkage and selection operator (LASSO), the support vector machine-recursive feature elimination (SVM-RFE), and the extreme gradient boosting (XGBoost). Model training and hyperparameter tuning were implemented on 80% of the data using a ten-fold cross-validation method, and tested in the testing sets which determined the excellent diagnostic performance of these models by six indicators (Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, Accuracy, and Area Under Curve). And seven eutopic signature genes (ACTB, GYS1, IQGAP1, MYH10, NUBPL, SLC7A11, TLN1) and five ectopic signature genes (CAPZB, CD2AP, MYH10, OXSM, PDLIM1) were finally identified based on machine learning. The independent validation dataset also showed high accuracy of the signature genes (IQGAP1, SLC7A11, CD2AP, MYH10, PDLIM1) in predicting EMs. Moreover, we screened 12 specific compounds for EMs based on ectopic signature genes and the pharmacological impact of tretinoin on signature genes was further verified in the ectopic lesion in the EMs murine model. Conclusion This study verified a close association between disulfidptosis and EMs based on bioinformatics analysis, machine learning, and animal experiments. Further investigation on the biological mechanism of disulfidptosis in EMs is anticipated to yield novel advancements for searching for potential diagnostic biomarkers and revolutionary therapeutic approaches in EMs.

Abstract This study investigated how structural parameters (including injection ducts and exhaust nozzle inner diameters) affect the internal flow field and dilution ratio of diesel particulate sampling diluters. Increasing air injection duct diameter increased the injection chamber pressure and decreased the air velocity peak, mixed gas flow velocity, sample temperature, and mixing rate. Excessively small tube diameters caused uneven and discontinuous flow field distributions, while substantial air blockage rendered the flow state poor. Increasing nozzle inner diameters increased the exhaust flow area and the sample temperature, but decreased the velocity of the exhaust and gas mixtures and the pressure drop. Compared with a 2.0 mm inner diameter, 2.5 and 3.0 mm diameters decreased the peak velocity by 11.18% and 14.41%, respectively, and mixing slowed significantly. Inner nozzle diameters of

Abstract The coalbed methane (CBM) productivity is directly determined by the fracture permeability during hydraulic fracturing, which is regulated by the distribution of proppants. The proppant may be unevenly distributed in the fracture because of variables like the architecture of the fracture and the characteristics of the sand‐carrying fluid. This study used two types of random functions to produce different ununiform distributions of proppant clusters in large‐scale fractures, with the aim of investigating the effect of these distributions on the overall permeability of the fracture. A model of fluid‐structure coupling is proposed. The closure of large‐scale fractures under in‐situ stress is analyzed using solid mechanics and the penalty function; the CBM flowing in proppant clusters and the high‐speed channel between them is simulated using Darcy's law and the Navier–Stokes equation, respectively; and the overall permeability of fractures is computed using the fluid pressure drop throughout the fracture and the fluid flowing velocity in the fracture's outlet. Since most CBM flows along high‐speed channels between the proppant clusters, the simulated findings show that the overall permeability of fractures with an uneven distribution of proppant clusters is significantly higher than that of the proppant cluster itself. As CBM becomes more discretely distributed, the proportion of CBM flowing within the proppant cluster continuously drops. As the permeability of the proppant cluster increases, the volume ratio of proppant clusters decreases, and the distribution of proppant clusters becomes more discrete, the overall permeability of the fracture continuously increases.

This study evaluated the protein identification capabilities of the Top14 high-abundance protein removal kit (Top14) and the DMB MagicOmics low-abundance enrichment kit (DMB) on serum samples from healthy individuals (HC) and hepatocellular carcinoma (HCC) patients. For HC samples, DMB treatment led to identifying 2.6 times proteins more than Top14 and 3.9 times more than untreated samples. For HCC samples, DMB achieved 3.7 times increase in protein identification over Top14 and 6.2 times increase over untreated samples. Although the Top14 kit was effective in removing high-abundance proteins, it was less proficient in detecting low-abundance proteins when compared to the DMB method. In terms of protein identification frequency, the DMB-treated samples had a significantly higher number of quantifiable proteins than both the Top14 and Blank groups. Over 50% of the proteins identified in the Top14 and Blank groups were also identified in the DMB group, ensuring a comprehensive proteome coverage as evidenced by KEGG analysis. The DMB method significantly outperformed the others in HCC serum samples, identifying 47 differentially expressed (DE) proteins, in contrast to 15 and 17 identified of the Top14 group and untreated samples, respectively, highlighting its superior ability to uncover critical biomarkers for disease analysis. KEGG pathway analysis showed that DE proteins identified by DMB were involved in 21 distinct pathways, significantly more than 5 and 1 pathways identified by Top14 group and untreated samples, demonstrating DMB’s advanced proteomic profiling capability. This study also underscored HSP90AB1, SPP1, ACTR3, SNCA, PECAM1, and SRC proteins increased in HCC serum samples based on DMB method, marking them as promising HCC biomarkers for disease screening.

Abstract The relationship between VISmax and mortality in patients undergoing major abdominal surgery remains unclear. This study aims to evaluate the association between VISmax and both short-term and long-term all-cause mortality in patients undergoing major abdominal surgery, VISmax was calculated (VISmax = dopamine dose [µg/kg/min] + dobutamine dose [µg/kg/min] + 100 × epinephrine dose [µg/kg/min] + 10 × milrinone dose [µg/kg/min] + 10,000 × vasopressin dose [units/kg/min] + 100 × norepinephrine dose [µg/kg/min]) using the maximum dosing rates of vasoactives and inotropics within the first 24 h postoperative ICU admission. The study included 512 patients first admitted to the intensive care unit (ICU) who were administered vasoactive drugs after major abdominal surgery. The data was extracted from the medical information mart in intensive care-IV database. VISmax was stratified into five categories: 0–5, > 5–15, > 15–30, > 30–45, and > 45. Compared to patients with the lowest VISmax (≤ 5), those with the high VISmax (> 45) had an increased risk of 30-day mortality (hazard ratio [HR] 3.73, 95% CI 1.16–12.02; P = 0.03) and 1-year mortality (HR 2.76, 95% CI 1.09–6.95; P = 0.03) in fully adjusted Cox models. The ROC analysis for VISmax predicting 30-day and 1-year mortality yielded AUC values of 0.69 (95% CI 0.64–0.75) and 0.67 (95% CI 0.62–0.72), respectively. In conclusion, elevated VISmax within the first postoperative 24 h after ICU admission was associated with increased risks of both short-term and long-term mortality in patients undergoing major abdominal surgery.

Abstract In contemporary manufacturing, the processing of structural materials plays a pivotal role in enabling the creation of robust, tailor-made, and precise components suitable for diverse industrial applications. Nonetheless, current material forming technologies face challenges due to internal stress and defects, resulting in a substantial decline in both mechanical properties and processing precision. We herein develop a processing strategy toward graphene superstructure with a curvature gradient, which allows us to fabricate robust structural materials with meticulously designed functional shapes. The structure consists of an arc-shaped assembly of graphene nanosheets positioned at co-axial curvature centers. During the dehydration-based evaporate-casting process, the assembly is tightened via capillary effect, inducing local bending. By precisely tuning the axis-center distance and tilt angle, we achieve accurate control over the shape of obtained structure. Notably, internal stress is harnessed to reinforce a designed mortise and tenon structure, resulting in a high joining strength of up to ~200 MPa. This innovative approach addresses the challenges faced by current material forming technologies and opens up more possibilities for the manufacturing of robust and precisely shaped components.

Abstract Historical urban districts are imbued with a multitude of elements, including historical heritage, cultural significance, social relationships, and daily activities, making them of significant research value. Through a review of previous literature, it is evident that research on the protection and renewal of historical urban districts has mostly focused on macro-level planning and development. Addressing the lack of spatial morphology quantification research at the meso-level, this paper proposes a method suitable for quantifying interface morphology in historical streets. Using the historical cultural street district of Xijie in Quanzhou, Fujian Province as a case study, this research employs parameters such as Distance-Height Ratio, Interface Density, Build-To-Line Rate, and Near-Line Rate to quantify and summarize the morphology of street interfaces. It then proposes transformation strategies to guide the protection and renewal of streets in the future. The study validates the feasibility of this quantification method and provides valuable insights for the protection and renewal of historical urban districts.

Abstract The peroxisome is a versatile organelle that performs diverse metabolic functions. PEX3, a critical regulator of the peroxisome, participates in various biological processes associated with the peroxisome. Whether PEX3 is involved in peroxisome-related redox homeostasis and myocardial regenerative repair remains elusive. We investigate that cardiomyocyte-specific PEX3 knockout (Pex3-KO) results in an imbalance of redox homeostasis and disrupts the endogenous proliferation/development at different times and spatial locations. Using Pex3-KO mice and myocardium-targeted intervention approaches, the effects of PEX3 on myocardial regenerative repair during both physiological and pathological stages are explored. Mechanistically, lipid metabolomics reveals that PEX3 promotes myocardial regenerative repair by affecting plasmalogen metabolism. Further, we find that PEX3-regulated plasmalogen activates the AKT/GSK3β signaling pathway via the plasma membrane localization of ITGB3. Our study indicates that PEX3 may represent a novel therapeutic target for myocardial regenerative repair following injury.

316L stainless steel (316L SS) is easy to be damaged due to poor corrosion and wear resistance, the preparation of composite coating with excellent corrosion and wear resistance properties on the surface can lengthen its service life. In this aspect, Fe-based amorphous CoCrFeNi high entropy alloy (HEA) composite coating was prepared on 316L SS by laser cladding. The microstructure, phase, microhardness, wear and corrosion resistance of the coatings were analyzed by scanning electron microscope (SEM) equipped with energy disperse spectroscopy (EDS), X-ray diffraction (XRD), Vickers hardness tester, electrochemical workstation, and the friction and wear tester. The results show that the phase composition of the coatings was FCC solid solution. The microstructure of the coatings gradually evolved from regular cellular crystals to irregular amorphous structures, while the microhardenss of each coating changed little. The wear and corrosion resistance of the coatings was better than that of the substrate. When the content of Fe-based amorphous is 8%, the properties of the coating are the best.

Helicase POLQ‐like (HELQ) is a DNA helicase essential for the maintenance of genome stability. A recent study identified two HELQ missense mutations in some cases of infertile men. However, the functions of HELQ in the process of germline specification are not well known and whether its function is conserved between mouse and human remains unclear. Here, we revealed that Helq knockout (Helq−/−) could significantly reduce the efficiency of mouse primordial germ cell‐like cell (PGCLC) induction. In addition, Helq−/− embryonic bodies exhibited a severe apoptotic phenotype on day 6 of mouse PGCLC induction. p53 inhibitor treatment could partially rescue the generation of mouse PGCLCs from Helq mutant mouse embryonic stem cells. Finally, the genetic ablation of HELQ could also significantly impede the induction of human PGCLCs. Collectively, our study sheds light on the involvement of HELQ in the induction of both mouse and human PGCLCs, providing new insights into the mechanisms underlying germline differentiation and the genetic studies of human fertility.

Abstract Simultaneously achieving high sensitivity and detection speed with traditional solid-state biosensors is usually limited since the target molecules must passively diffuse to the sensor surface before they can be detected. Microfluidic techniques have been applied to shorten the diffusion time by continuously moving molecules through the biosensing regions. However, the binding efficiencies of the biomolecules are still limited by the inherent laminar flow inside microscale channels. In this study, focused traveling surface acoustic waves were directed into an acoustic microfluidic chip, which could continuously enrich the target molecules into a constriction zone for immediate detection of the immune reactions, thus significantly improving the detection sensitivity and speed. To demonstrate the enhancement of biosensing, we first developed an acoustic microfluidic chip integrated with a focused interdigital transducer; this transducer had the ability to capture more than 91% of passed microbeads. Subsequently, polystyrene microbeads were pre-captured with human IgG molecules at different concentrations and loaded for detection on the chip. As representative results, ~0.63, 2.62, 11.78, and 19.75 seconds were needed to accumulate significant numbers of microbeads pre-captured with human IgG molecules at concentrations of 100, 10, 1, and 0.1 ng/mL (~0.7 pM), respectively; this process was faster than the other methods at the hour level and more sensitive than the other methods at the nanomolar level. Our results indicated that the proposed method could significantly improve both the sensitivity and speed, revealing the importance of selective enrichment strategies for rapid biosensing of rare molecules.

Abstract Viral infections pose significant public health challenges, exemplified by the global impact of COVID-19 caused by SARS-CoV-2. Understanding the intricate molecular mechanisms governing virus-host interactions is pivotal for effective intervention strategies. Despite the burgeoning multi-omics data on viral infections, a centralized database elucidating host responses to viruses remains lacking. In response, we have developed a comprehensive database named ‘MOI’ (available at http://www.fynn-guo.cn/ ), specifically designed to aggregate processed Multi-Omics data related to viral Infections. This meticulously curated database serves as a valuable resource for conducting detailed investigations into virus-host interactions. Leveraging high-throughput sequencing data and metadata from PubMed and Gene Expression Omnibus (GEO), MOI comprises over 3200 viral-infected samples, encompassing human and murine infections. Standardized processing pipelines ensure data integrity, including bulk RNA sequencing (RNA-seq), single-cell RNA-seq (scRNA-seq), Chromatin Immunoprecipitation sequencing (ChIP-seq), and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq). MOI offers user-friendly interfaces presenting comprehensive cell marker tables, gene expression data, and epigenetic landscape charts. Analytical tools for DNA sequence conversion, FPKM calculation, differential gene expression, and Gene Ontology (GO)/ Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment enhance data interpretation. Additionally, MOI provides 16 visualization plots for intuitive data exploration. In summary, MOI serves as a valuable repository for researchers investigating virus-host interactions. By centralizing and facilitating access to multi-omics data, MOI aims to advance our understanding of viral pathogenesis and expedite the development of therapeutic interventions.

Abstract Background The American Heart Association recently introduced a new model for cardiovascular health (CVH) known as Life’s Essential 8 (LE8). The impact of LE8 on hypertensive individuals is currently unclear. In our study, we investigated the correlation between comprehensive and individual CVH indicators as defined by LE8, and the mortality rates in hypertension patients. Methods We analyzed a total of 8,448 hypertensive individuals aged ≥ 20 years who participated in the National Health and Nutrition Examination Survey from 2007 to 2016. These participants were nonpregnant and noninstitutionalized. We identified their mortality by linking their data to the National Death Index until December 31, 2019. The overall cardiovascular health (CVH) was assessed using the LE8 score, which ranged from 0 to 100. Additionally, we evaluated the scores for each component of diet, physical activity, tobacco/nicotine exposure, sleep duration, body mass index, non-high-density lipoprotein cholesterol, blood glucose, and blood pressure. The CVH were categorized into low (0–49), moderate (50–79), and high (80–100) CVH. Results Over an average follow-up period of 7.41 years, 1,482 (17.54%) of the participants died, among which 472 deaths were attributed to CVD. When compared to adults with lower total CVH scores, those with elevated total CVH scores displayed a 37% reduced risk of mortality from all causes (adjusted hazard ratio [aHR] = 0.63, 95% confidence interval [CI] = 0.45–0.88). In relation to CVD-specific mortality, the corresponding aHRs for moderate and high total CVH scores were 0.76 (0.60–0.97) and 0.54 (0.31–0.94), respectively. Furthermore, after adjusting for potential confounders, it was observed that higher scores on the LE8 index were associated with a reduced risk of both all-cause mortality (aHR for every 10-score increase, 0.91; 95% CI = 0.86–0.96) and CVD-specific mortality (aHR for every 10-score increase, 0.82; 95% CI = 0.75–0.90). Notably, a linear dose–response relationship was observed in this association. Similar patterns were identified in the relationship between health behavior and both all-cause and CVD-specific mortality. Conclusions Achieving a higher CVH score, as per the new LE8 guidelines, has been found to be associated with a reduced risk of mortality from all causes and specifically from CVD in patients with hypertension. Therefore, public health and healthcare initiatives that focus on promoting higher CVH scores could potentially yield significant benefits in terms of reducing mortality rates among individuals with hypertension.

Traditional villages serve as witnesses to history and culture and as the centers of production and life. Studying their spatial characteristics and influencing factors can provide profound insights into their formation, development, and inheritance. Taking CAI’s ancient residential buildings in Zhangli Village, Quanzhou as a case study, this paper utilizes space syntax and abstract topological relations to quantitatively analyze three morphological characteristics of public space: (1) “Ancestral halls” and “Academies” are situated at the core of visual space, representing significant spatial elements within the village, with high visual appeal and status; (2) The spatial layout of “roadways” and “gates” caters to the needs of internal settlements, with their accessibility significantly varying in different directions. However, the high topological depth restricts exploration within the internal space; (3) The village provides residents with spaces for various types of public activities. Furthermore, this paper qualitatively explores the factors influencing the spatial form of Cai’s ancient dwellings from the perspectives of nature, economy, and culture, including topography, hierarchical order, geomancy principles, ethnic economic development, production, and lifestyle. Accordingly, the paper proposes corresponding protection and development strategies, offering a reference for the sustainable development of traditional villages in the future.

Abstract Piezoceramic membranes have emerged as a prominent solution for membrane fouling control. However, the prevalent use of toxic lead and limitations of vibration-based anti-fouling mechanism impede their wider adoption in water treatment. This study introduces a Mn/BaTiO3 piezoceramic membrane, demonstrating a promising in-situ anti-fouling efficacy and mechanism insights. When applied to an Alternating Current at a resonant frequency of 20 V, 265 kHz, the membrane achieves optimal vibration, effectively mitigating various foulants such as high-concentration oil (2500 ppm, including real industrial oil wastewater), bacteria and different charged inorganic colloidal particles, showing advantages over other reported piezoceramic membranes. Importantly, our findings suggest that the built-in ultrasonic vibration of piezoceramic membranes can generate reactive oxygen species. This offers profound insights into the distinct anti-fouling processes for organic and inorganic wastewater, supplementing and unifying the traditional singular vibrational anti-fouling mechanism of piezoceramic membranes, and potentially propelling the development of piezoelectric catalytic membranes.

Background: The prevalence of different types/subtypes varies across seasons and countries for seasonal influenza viruses, indicating underlying interactions between types/subtypes. The global interaction patterns and determinants for seasonal influenza types/subtypes need to be explored. Methods: Influenza epidemiological surveillance data, as well as multidimensional data that include population-related, environment-related, and virus-related factors from 55 countries worldwide were used to explore type/subtype interactions based on Spearman correlation coefficient. The machine learning method Extreme Gradient Boosting (XGBoost) and interpretable framework SHapley Additive exPlanation (SHAP) were utilized to quantify contributing factors and their effects on interactions among influenza types/subtypes. Additionally, causal relationships between types/subtypes were also explored based on Convergent Cross-mapping (CCM). Results: A consistent globally negative correlation exists between influenza A/H3N2 and A/H1N1. Meanwhile, interactions between influenza A (A/H3N2, A/H1N1) and B show significant differences across countries, primarily influenced by population-related factors. Influenza A has a stronger driving force than influenza B, and A/H3N2 has a stronger driving force than A/H1N1. Conclusion: The research elucidated the globally complex and heterogeneous interaction patterns among influenza type/subtypes, identifying key factors shaping their interactions. This sheds light on better seasonal influenza prediction and model construction, informing targeted prevention strategies and ultimately reducing the global burden of seasonal influenza.

Aluminum matrix composites (AMCs) reinforced with intragranular nano-sized Al2O3 were used as model material to investigate the effects of intragranular nano reinforcement on the mechanical properties at macro- and meso- levels. The results revealed that intragranular Al2O3 effectively facilitates the dislocation multiplication, which in turn enables the grain interior to endure high levels of plastic strain and consequently alleviates stress concentration at the grain boundary. Furthermore, intragranular Al2O3 leads to a collective enhancement in the intrinsic mechanical properties across domains of varying sizes, thereby contributing to the coordinated plastic deformation of heterogeneous grains, and enhancing the creep resistance of composite.

Abstract Background Sensor-based interventions (SI) have been suggested as an alternative rehabilitation treatment to improve older adults’ functional performance. However, the effectiveness of different sensor technologies in improving gait and balance remains unclear and requires further investigation. Methods Ten databases (Academic Search Premier; Cumulative Index to Nursing and Allied Health Literature, Complete; Cochrane Central Register of Controlled Trials; MEDLINE; PubMed; Web of Science; OpenDissertations; Open grey; ProQuest; and Grey literature report) were searched for relevant articles published up to December 20, 2022. Conventional functional assessments, including the Timed Up and Go (TUG) test, normal gait speed, Berg Balance Scale (BBS), 6-Minute Walk Test (6MWT), and Falling Efficacy Scale-International (FES-I), were used as the evaluation outcomes reflecting gait and balance performance. We first meta-analyzed the effectiveness of SI, which included optical sensors (OPTS), perception sensors (PCPS), and wearable sensors (WS), compared with control groups, which included non-treatment intervention (NTI) and traditional physical exercise intervention (TPEI). We further conducted sub-group analysis to compare the effectiveness of SI (OPTS, PCPS, and WS) with TPEI groups and compared each SI subtype with control (NTI and TPEI) and TPEI groups. Results We scanned 6255 articles and performed meta-analyses of 58 selected trials (sample size = 2713). The results showed that SI groups were significantly more effective than control or TPEI groups (p

Leveraging a fresh comprehension of electrolytic polishing (EP) mechanisms, this study introduces a pivotal factor - viscosity/water content ratio (VWR) - for the first time, rooted in acidity ratio theory. The present study aligns with published works to affirm the validity of the VWR indicator and its correlation with surface roughness. A noteworthy contribution lies in the design of EP solutions that can serve as a guide for stainless steels. It strikes a balance between low cost, high efficiency, long service life and desirable surface roughness. This involves regulating the dissolution-ionization-deposition process at the metal/solution interface.

Abstract Background The utilization of liposomes in drug delivery has garnered significant attention due to their efficient drug loading capacity and excellent biocompatibility, rendering them a promising platform for tumor therapy. However, the average size of liposomes ~ 100 nm leads to liposomes being susceptible to hepatic and renal metabolism to excretion outside the body leading to poor drug delivery efficiency with a total utilization rate of less than 0.7%, resulting in unfavorable treatment outcomes. Results We have developed a novel liposome platform equipped with tumor surface nucleolin-targeting capacity to enhance drug accumulation at the tumor in vivo. The encapsulation of doxorubicin through thin film hydration has resulted in the formation of D@L-AS1411. Through in vivo experiments, we have demonstrated the effective accumulation of D@L-AS1411 at the tumor site and its ability to improve doxorubicin utilization rates by 40%. Additionally, D@L-AS1411 induces immunogenic death of tumor cells, release of tumor-associated antigens, upregulation of calreticulin expression, and recruitment of active T cell infiltration, and ultimately improves the therapeutic efficacy against tumors (70%). Conclusions Based on the nucleic acid aptamer AS1411, D@L-1411 is developed to specifically enhance the accumulation of Dox at tumor sites, thereby inhibiting and enhancing the anti-tumor effect. In summary, this study not only provides an efficient tumor-targeting delivery platform but also contributes to the improvement of chemotherapy–immunotherapy combination for tumor treatment strategy in the clinic.

Abstract Background It has been proposed that inflammation plays a role in the development of sarcopenia. This study aimed to investigate the links of complete blood cell count (CBC) parameters and CBC-derived inflammatory indicators with sarcopenia and mortality. Methods Data pertaining to sarcopenia were extracted from the 1999–2006 National Health and Nutrition Examination Survey (NHANES), and mortality events were ascertained through the National Death Index up to December 31, 2019. The CBC-derived inflammatory indicators assessed in this study included the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), neutrophil-monocyte to lymphocyte ratio (NMLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII). The prognostic significance of these CBC-derived inflammatory indicators was evaluated using the random survival forests (RSF) analysis. Results The study encompassed a cohort of 12,689 individuals, among whom 1,725 were diagnosed with sarcopenia. Among individuals with sarcopenia, 782 experienced all-cause mortality, and 195 succumbed to cardiovascular causes. Following adjustment for confounding variables, it was observed that elevated levels of NLR, dNLR, NMLR, SIRI, and SII were associated with an increased prevalence of sarcopenia. Among participants with sarcopenia, those in the highest quartile of NLR (HR = 1.336 [1.095–1.631]), dNLR (HR = 1.274 [1.046–1.550]), MLR (HR = 1.619 [1.290–2.032]), NMLR (HR = 1.390 [1.132–1.707]), and SIRI (HR = 1.501 [1.210–1.862]) exhibited an elevated risk of all-cause mortality compared to those in the lowest quartile of these inflammation-derived indicators. These associations were similarly observed in cardiovascular mortality (HR = 1.874 [1.169–3.003] for MLR, HR = 1.838 [1.175–2.878] for SIRI). The RSF analysis indicated that MLR exhibited the highest predictive power for both all-cause and cardiovascular mortality among individuals with sarcopenia. Conclusions Our findings underscore the association between CBC-derived inflammatory indicators and mortality in adults with sarcopenia. Of note, MLR emerged as the most robust predictor of all-cause and cardiovascular mortality in this population.

A complete road-soft ground model is established in this paper to study the dynamic responses caused by vehicle loads and/or daily temperature variation. A dynamic thermo-elastic model is applied to capturing the behavior of the rigid pavement, the base course, and the subgrade, while the soft ground is characterized using a dynamic thermo-poroelastic model. Solutions to the road-soft ground system are derived in the Laplace-Hankel transform domain. The time domain solutions are obtained using an integration approach. The temperature, thermal stress, pore water pressure, and displacement responses caused by the vehicle load and the daily temperature variation are presented. Results show that obvious temperature change mainly exists within 0.3 m of the road when subjected to the daily temperature variation, whereas the stress responses can still be found in deeper places because of the thermal swelling/shrinkage deformation within the upper road structures. Moreover, it is important to consider the coupling effects of the vehicle load and the daily temperature variation when calculating the dynamic responses inside the road-soft ground system.

Aberrant tumor blood vessels are prone to propel the malignant progression of tumors, and targeting abnormal metabolism of tumor endothelial cells emerges as a promising option to achieve vascular normalization and antagonize tumor progression. Herein, we demonstrated that salvianic acid A (SAA) played a pivotal role in contributing to vascular normalization in the tumor-bearing mice, thereby improving delivery and effectiveness of the chemotherapeutic agent. SAA was capable of inhibiting glycolysis and strengthening endothelial junctions in the human umbilical vein endothelial cells (HUVECs) exposed to hypoxia. Mechanistically, SAA was inclined to directly bind to the glycolytic enzyme PKM2, leading to a dramatic decrease in endothelial glycolysis. More importantly, SAA improved the endothelial integrity via activating the β-Catenin/Claudin-5 signaling axis in a PKM2-dependent manner. Our findings suggest that SAA may serve as a potent agent for inducing tumor vascular normalization.

Abstract Adverse perinatal factors can interfere with the normal development of the brain, potentially resulting in long-term effects on the comprehensive development of children. Presently, the understanding of cognitive and neurodevelopmental processes under conditions of adverse perinatal factors is substantially limited. There is a critical need for an open resource that integrates various perinatal factors with the development of the brain and mental health to facilitate a deeper understanding of these developmental trajectories. In this Data Descriptor, we introduce a multicenter database containing information on perinatal factors that can potentially influence children’s brain-mind development, namely, periCBD, that combines neuroimaging and behavioural phenotypes with perinatal factors at county/region/central district hospitals. PeriCBD was designed to establish a platform for the investigation of individual differences in brain-mind development associated with perinatal factors among children aged 3–10 years. Ultimately, our goal is to help understand how different adverse perinatal factors specifically impact cognitive development and neurodevelopment. Herein, we provide a systematic overview of the data acquisition/cleaning/quality control/sharing, processes of periCBD.

"Purpose: To determine the non-contrast computer tomography imaging features of pyonephrosis and evaluate the predictive value of Hounsfield units (HUs) in different hydronephrotic region slices. Materials and Methods: We retrospectively reviewed data from patients with hydronephrosis who had renal-ureteral calculi. All patients were categorized into pyonephrosis and simple hydronephrosis groups. Baseline characteristics, the mean HU values in the maximal hydronephrotic region (uHU) slice, and the range of uHU in different slices (ΔuHU) were compared between the two groups. Univariate and multivariate analyses were performed to identify risk factors for pyonephrosis. Results: Among the 181 patients enrolled in the current study, 71 patients (39.2%) were diagnosed with pyonephrosis. The mean dilated pelvis surface areas were comparable between patients with pyonephrosis and simple hydronephrosis (822.61 mm2 vs. 877.23 mm2, p=0.722). Collecting system debris (p=0.022), a higher uHU (p=0.038), and a higher ΔuHU (p

Abstract Aims The findings from previous epidemiological studies of the association between regional body fat and depressive symptoms have been unclear. We aimed to determine the association between the body fat in different regions and depressive symptoms based on data from the National Health and Nutrition Examination Survey (NHANES). Methods This study included 3393 participants aged ≥ 20 years from the NHANES performed during 2011–2018. Depressive symptoms were assessed using the Patient Health Questionnaire-9. The fat mass (FM) was measured in different regions using dual-energy X-ray absorptiometry to determine the total FM, trunk FM, arm FM, and leg FM. The FM index (FMI) was obtained by dividing the FM in kilograms by the square of the body height in meters. Weighted data were calculated in accordance with analytical guidelines. Linear logistic regression models were used to quantify the association between regional FMI and depressive symptoms. Univariate and stratified analyses were also performed. Results The participants in this study comprised 2066 males and 1327 females. There were 404 (11.91%) participants with depressive symptoms, who were aged 40.89 ± 11.74 years and had a body mass index of 30.07 ± 7.82 kg/m². A significant association was found between total FMI and depressive symptoms. In the fully adjusted multivariate regression model, a higher total FMI (odds ratio = 2.18, 95% confidence interval [CI] = 1.08–4.39) was related to a higher risk of depressive symptoms, while increased total FMI (β = 1.55, 95% CI = 0.65–2.44, p = 0.001), trunk FMI (β = 0.57, 95% CI = 0.04–1.10, p = 0.036), and arm FMI (β = 0.96, 95% CI = 0.33–1.59, p = 0.004) were significantly associated with PHQ-9 (Patient Health Questionnaire-9) scores, whereas the leg FMI was not (p = 0.102). The weighted association between total FMI and depressive symptoms did not differ significantly between most of the subpopulations (all p values for interaction > 0.05). The risk of having depression was higher in individuals who were non-Hispanic Whites, smokers, drinkers, obese, and had diabetes and thyroid problems (p

Abstract The synthesis of rain fields is essential in multiple research fields and applications, including Single‐image Derain. However, there is a lack of research on simulated rain fields, and the existing rain field generation models struggle to capture complex spatial distributions and generate truly random rain fields. To address this, the authors propose a generative adversarial networks‐based rain field generation network, which consists of a generator, a discriminator, and a feature extraction block that can produce realistic and complex rain fields. The authors’ experiments demonstrate that this method achieves an average Frechet Inception Distance score of 0.035, and user studies indicate that the generated rain distribution looks naturally.