Advancing Open Science

This study examined how different photoperiods affect net energy partitioning and explored the mechanisms via blood biochemistry, gut microbiota, and fecal metabolites. Twelve healthy crossbred pigs (47.7 ± 7.5 kg) were randomly allocated to two groups and subjected to a self-controlled crossover design. Following an 8-day baseline under a normal photoperiod (12L:12D, 12 h light:12 h dark), pigs were assigned to two photoperiod treatment groups: prolonged photoperiod (18L:6D, 18 h light:6 h dark; P group) and shortened photoperiod (6L:18D, 6 h light:18 h dark; S group). Measurements during the baseline (12L:12D) and treatment phases are designated as N1/P (for the P group) and N2/S (for the S group), respectively. The treatment periods were interspersed with the baseline 12L:12D photoperiod and repeated six times. It was observed that, compared to N2, shortened photoperiod (S) had significantly higher net energy deposition, net energy for protein deposition, and net energy for fat deposition (p < 0.05). Compared with N2, plasma low-density lipoprotein in short photoperiod decreased (p < 0.05), and gastric inhibitory peptides increased (p < 0.05). Compared to the prolonged photoperiod, the levels of ghrelin and apolipoprotein A-IV were higher in the shortened photoperiod (p < 0.05). A shortened photoperiod decreased fecal acetic acid compared to N2 (p < 0.05) and decreased propionic acids compared to P (p < 0.05). The significance test of differences between microbial groups showed that there were different microorganisms among the different groups. The results indicated that shortening the photoperiod significantly altered the energy allocation in growing pigs.

The invasive aquatic plant Myriophyllum aquaticum represents both an ecological threat and a wet biomass disposal challenge. This study investigates hydrothermal carbonization (HTC) as a strategy for its valorisation into energy-dense hydrochar. A Design of Experiments–Response Surface Methodology (DoE-RSM) approach was applied to elucidate the combined influence of temperature (200–260 °C), residence time (30–210 min), and solid load (5–25 wt%) on hydrochar yield and properties. Hydrochar yields ranged from 48.8% to 65.6%, with the highest yields achieved at 200 °C, 30 min, and 25 wt% solids. Higher heating values of hydrochars spanned from 12.14 to 14.53 MJ/kg, corresponding up to +19% energy densification at higher process severity. Carbon and energy yields reached 69.7% and 68.6%, respectively, with maximum values attained under low-severity, high-solid-load conditions. The predictive models exhibited strong agreement with experimental data, enabling optimisation of HTC parameters for targeted hydrochar applications. Two hydrochars, “peat-like” and “lignite-like”, were further characterised for their potential use as soil amendments. The lignite-like hydrochar complied with EU contaminant limits and showed no phytotoxicity, confirming its suitability for agronomic use. Overall, HTC of M. aquaticum provides an effective waste-to-resource pathway, transforming wet invasive biomass into value-added carbon materials.

Background: Dyspnea is a frequent complaint during pregnancy and is often considered a benign physiological finding; however, it may also reflect underlying subclinical cardiovascular alterations. Pregnancy-related vascular remodeling and low-grade systemic inflammation may contribute to changes in aortic elastic properties and inflammatory biomarkers, particularly in symptomatic women. Objective: This study aimed to compare aortic elastic properties and albumin-based inflammatory indices between dyspneic and asymptomatic third-trimester pregnant women. A secondary aim was to establish reference values for echocardiographic and biomarker parameters in dyspneic pregnancy. Methods: In this prospective observational study, third-trimester pregnant women (≥27 gestational weeks) presenting to the emergency department (ED) with dyspnea were consecutively enrolled and compared with age-matched asymptomatic pregnant controls. Demographic, laboratory, and echocardiographic data were recorded. Aortic strain, aortic distensibility, and aortic stiffness were calculated using transthoracic echocardiography. Albumin-based inflammatory indices, including the hemoglobin–albumin–lymphocyte–platelet (HALP) score, prognostic nutritional index (PNI), C-reactive protein-to-albumin ratio (CAR), and RDW-to-albumin ratio (RAR), were analyzed. Receiver operating characteristic (ROC) and correlation analyses were performed. Results: A total of 241 pregnant women were included (121 dyspneic, 120 controls). Demographic characteristics were comparable between groups. Dyspneic pregnant women exhibited significantly lower aortic strain and aortic distensibility and higher aortic stiffness compared with controls (for all p < 0.05). Among laboratory parameters, CAR levels were significantly elevated in the dyspneic group (p < 0.001), whereas HALP, PNI, and RAR did not differ significantly. After adjustment for potential confounders, differences in aortic elastic properties remained significant. CAR demonstrated moderate discriminative ability for dyspnea (AUC = 0.692), while aortic elastic parameters showed modest predictive performance. In combined prediction models incorporating CAR with echocardiographic parameters, discriminatory performance improved, with area under the curve values exceeding 0.70. Weak positive correlations were observed between PNI and aortic strain and distensibility. Conclusions: Dyspneic third-trimester pregnant women exhibit impaired aortic elastic properties and increased CAR levels, suggesting the presence of subclinical vascular and inflammatory alterations. Assessment of aortic elasticity and CAR may provide a simple and practical approach for early cardiovascular risk stratification in symptomatic pregnancy, particularly in ED settings. Further multicenter studies with longitudinal follow-up are warranted to clarify their prognostic significance.

With the development of polar regions and the deepening utilization of cold region resources, a large number of infrastructure projects are continuously being carried out. The freezing temperature of unsaturated soil is a critical factor governing the freezing depth and stability of foundations in cold regions or seasons. Concurrently, the supercooling state of soil significantly influences the assessment of its phase composition and physico-mechanical properties. This study employed physical experiments, theoretical formulas, and numerical simulations to reveal the influencing factors and underlying mechanisms of supercooling characteristics in unsaturated soils under controlled low-rate continuous cooling conditions. The results demonstrate that a reduced temperature gradient between the sample surface and the ambient environment correlates with a lower supercooling limit temperature and an extended supercooling duration. An excessively high cooling rate suppresses the supercooling phenomenon in the sample core due to boundary effects. In contrast, neither the temperature difference nor the external cooling rate exhibit a negligible influence on the freezing temperature. Analysis of the temperature–time curves reveals that the freezing process of silty clay is more stable, exhibiting fewer stepwise temperature declines during the phase change plateau, whereas mudstone shows heightened sensitivity to variations in the thermal gradient. Compared to conventional thermocouple measurements, the proposed methodology achieves an optimal balance between temporal efficiency and measurement accuracy. It not only enhances experimental controllability and data reliability, but also provides more scientific theoretical support and technical pathways for predicting freezing depth, designing foundation thermal systems, and preventing frozen ground disasters in cold region engineering.

Mangrove ecosystems are important blue carbon systems and play a critical role in understanding carbon cycling and responses to climate change. However, accurate regional estimation of Net Ecosystem Exchange (NEE) remains challenging due to the environmental complexity and spatial heterogeneity. This study combined eddy covariance observations from four mangrove sites along China’s southeastern coast (natural and restored mangrove forests) with multi-source remote sensing and environmental reanalysis data to construct three variable schemes (site observations only, with added vegetation indices, and comprehensive multi-source variables). We compared three machine learning models for daily NEE prediction, including eXtreme Gradient Boosting (XGBoost), Random Forest (RF), and Support Vector Machine (SVM). The results showed that: (1) Restored and natural mangroves exhibited similar temporal NEE dynamics and consistently functioned as carbon sinks, restored mangrove sites showed greater cross-site variability. Among the study sites, CN-LZR exhibited the strongest cumulative carbon uptake. (2) Scheme 3 combined with the XGBoost algorithm achieved the highest predictive accuracy, reaching an R² of 0.73 across sites. Differences among machine learning models were primarily associated with their ability to capture nonlinear interactions between atmospheric and hydrological variables, with tree-based models outperforming SVM. (3) SHAP analysis indicated that radiation-related variables were the dominant drivers of NEE, while hydrological influences were site-dependent; and (4) Regional upscaling indicated that all sites consistently functioned as long-term carbon sinks, with CN-LZR exhibiting slightly higher daily mean carbon uptake than the other sites. This study presented the first machine learning framework for estimating daily-scale NEE in mangroves, providing methodological and data support for regional carbon flux assessment and blue carbon management.

Background: Autologous bone graft is widely used for lumbar interbody fusion but may increase operative time and donor-site morbidity. Gene-activated grafts combining an osteoconductive scaffold with pro-angiogenic signaling may provide comparable fusion without graft harvesting. The aim of this paper is to compare radiographic fusion and health-related quality of life after single-level transforaminal lumbar interbody fusion (TLIF) using a gene-activated octacalcium phosphate graft containing plasmid DNA encoding vascular endothelial growth factor (OCP/VEGF) versus an autologous bone graft. Methods: 200 adults undergoing first-time single-level TLIF for degenerative lumbar stenosis were allocated 1:1 to OCP/VEGF (n = 100) or autograft (n = 100), prospectively. CT-based fusion assessment and SF-36 outcomes were evaluated at 6 and 12 months follow-up. Results: At 12 months after surgery, mean fusion-zone density was 617.6 ± 180.9 HU in the OCP/VEGF group versus 599.8 ± 181.9 HU in the autograft group (mean difference 17.8 HU; p = 0.484). Complete fusion on qualitative CT grading occurred in 77% versus 73%, respectively (risk difference 4%; p = 0.583). SF-36 Physical Component Summary (PCS) and Mental Component Summary (MCS) improved significantly from baseline in both groups (p < 0.001), without clinically meaningful between-group differences at follow-up. Revision surgery occurred in 3% versus 5%. Conclusions: In single-level TLIF for degenerative lumbar stenosis, OCP/VEGF produced radiographic fusion and patient-reported outcomes comparable to autograft at 12 months, supporting its use as an autograft-sparing alternative.

Background: Propofol is used worldwide as a short-acting intravenous anesthetic in clinical practice; however, side effects such as injection pain and respiratory depression remain clinically relevant. Therefore, identification of safer propofol analogs is required. Method: In response to the urgent need for optimized potency and reduced side effects, a series of dihydrobenzofuran derivatives were designed as expectedly better propofol analogs through conformational restriction. A loss of righting reflex assay was conducted to evaluate the sedative/anesthetic properties of the synthesized compounds, and a respiratory depression test was performed for safety assessment. Results: Most of the designed compounds were shown to possess promising anesthetic properties as propofol analogs. The represented 53A had higher potency and a wider safety margin (ED₅₀:3.898 vs. 8.040 mg/kg in mice; 2.985 vs. 5.894 mg/kg in rats; TI (therapeutic index): 6.172 vs. 5.061 in mice; 4.362 vs. 2.580 in rats) than propofol, and fast onset and recovery times were maintained. The phosphate prodrug 56A also exhibited better efficiency and safety than fospropofol, along with a longer duration and faster recovery time in sedative profiles. Furthermore, alleviation of the adverse effects of respiratory depression has been demonstrated. Conclusions: 53A has the potential to be selected as a preclinical candidate for clinical development.

Numerous scientific studies highlight the crucial role of common genetic and epigenetic factors in the development and progression of cancer. To deepen our understanding of how different VEGFR and epigenetic pathways interact in carcinogenesis, the current review examines novel therapeutic agents that target various molecular mechanisms involved in this complex disease. Growing evidence from scientific studies suggests that VEGFR and epigenetic signaling pathways contribute to complex pathophysiological changes in cancer. Therefore, simultaneously targeting VEGFR and epigenetic factors, such as sirtuins, by developing dual inhibitors could provide more individualized therapeutic approaches with safer and more effective outcomes. In this context, Computer-Aided Drug Design (CADD) offers a comprehensive suite of bioinformatic, chemoinformatic, and chemometric approaches to design novel chemotypes of epigenetic dual-target inhibitors. This facilitates the efficient discovery of new drug candidates, enabling innovative treatments for these multifactorial diseases. The review also explores the detailed anticancer mechanisms by which VEGFR, SIRT, and dual-target inhibitors modify metastatic and tumorigenic properties, affect the tumor microenvironment, and regulate the immune response.