Search Results (18,824)

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. Full article

The (3+1)-dimensional B-type Kadomtsev–Petviashvili (BKP) problem was examined in this paper using the developed Exp-function method (DEFM) and Lie symmetry analysis. The objective of this research is studying the BKP equation to get novel exact solutions. Symmetry analysis has been used to determine similarity variables and vector fields. The governing equation was reduced to five variant ordinary differential equations (ODEs). The DEFM was employed for four of them to obtain several novel exact solutions that contain arbitrary constants. The most appropriate choice of values for these optional constants contributed to the emergence of solutions, such as double waves, multisolitons, kink waves, anti-kink waves, and solitary waves. The obtained exact solutions are presented in a 3D graph. The behavior of the solutions can be utilized to explore the application of the governing equation in fluid dynamics, plasma physics, nonlinear optics, and ocean physics. Full article

Why do some organic farming systems persist while others collapse despite similar histories of collective action, policy support, and social legitimacy? This study examines how institutional design shapes the resilience of organic rice systems under conditions of market volatility and buyer power. Drawing on a qualitative comparative analysis of two subnational cases in rural Indonesia—Magelang and Tasikmalaya—Magelang experienced only 6–8% reversion to conventional rice (≈4.2 ha lost), while Tasikmalaya saw 32–38% reversion (≈13–17 ha). The study applies and extends the Institutional Analysis and Development (IAD) framework to foreground market risk governance as a central explanatory variable. The findings show that sustainability depends less on collective organisation than on whether producer institutions function as risk-bearing actors. In Magelang, a farmer cooperative governed market relations through internal monopsony and buyer diversification, shifting market risk from individual households to the organisational level. In Tasikmalaya, reliance on an external monopsony concentrated risk outside producer control; when buyer demand weakened, risk was rapidly transferred to farmers, triggering institutional fragmentation and exit from organic production. By distinguishing internal from external monopsony, the study advances an institutional explanation of resilience in market-mediated sustainability transitions and suggests that policies should prioritise institutional capacity for market risk governance over certification or production technologies. Full article

Background/Objectives: The clinical superiority of rotating-bearing (RB) versus fixed-bearing (FB) total knee arthroplasty (TKA) remains controversial despite the proposed biomechanical advantages of mobile-bearing designs. Objective gait assessment with inertial measurement units (IMUs) provides a measurable view of functional recovery that may complement patient-reported outcome measures (PROMs). This study compared spatiotemporal gait parameters between FB and RB TKA over 24 months. Methods: This prospective longitudinal comparative study enrolled 57 patients undergoing primary unilateral TKA for end-stage knee osteoarthritis. Spatiotemporal gait parameters (gait velocity, cadence, and stance-phase duration) were measured using wireless IMUs (G-WALK system) at 6, 12, and 24 months post-surgery. WOMAC and the 10-point Geriatric Locomotive Function Scale (GLFS-10P) were assessed at 12 and 24 months. Group, time, and Group × Time effects were analyzed using linear mixed-effects models. Results: Both groups improved during follow-up, with performance largely plateauing between 12 and 24 months. At 24 months, there were no significant differences between groups in gait velocity (FB 1.17 vs. RB 1.16 m/s; p = 0.65), cadence (99.8 vs. 97.4 steps/min; p = 0.72), or stance-phase duration (59.3% vs. 59.0%; p = 0.82). Group × Time interactions were not significant across gait outcomes. WOMAC and GLFS-10P improved similarly in both groups (p > 0.05). Cadence was inversely correlated with the WOMAC function subscale at 24 months (rho = −0.563; p = 0.036). Conclusions: FB and RB bearing designs showed similar objective gait recovery trajectories and PROM improvements through 24 months after primary TKA, suggesting no intermediate-term functional advantage from bearing design. Full article

Minimally invasive surgical therapies (MISTs), such as Rezūm™ Water Vapor Therapy, are emerging treatment options for benign prostatic obstruction (BPO). When prostate cancer is subsequently diagnosed, radical prostatectomy may still be indicated. However, evidence regarding intraoperative challenges and the surgical and functional outcomes of robot-assisted radical prostatectomy (RARP) following Rezūm remains limited. We report the first documented case of RARP following Rezūm in a 68-year-old man. He initially underwent Rezūm for symptomatic BPO. Due to rising PSA, a suspicious lesion on MRI, and a biopsy-confirmed high-risk prostate carcinoma, radical surgery was performed. Intraoperatively, dense fibrosis and altered tissue planes required precise dissection and a level 2 bilateral nerve-sparing approach. A systematic review revealed no previously published cases of RARP after Rezūm. On the other hand, RARP after transurethral resection of the prostate (TURP) is associated with increased operative time, blood loss, and bladder neck reconstruction, though late continence and biochemical recurrence rates are similar to those in treatment-naïve patients. In conclusion, RARP after ablative BPO therapies is feasible but may present unique technical challenges. Larger prospective studies are needed to develop standardized management strategies. Full article

Autosomal dominant polycystic kidney disease (ADPKD) is a genetic disorder primarily known for progressive kidney cysts, and it is the most common hereditary syndrome linked to intracranial aneurysms (IAs). Approximately 5–20% of ADPKD patients have IAs (versus ~3% in the general population). Key risk factors for IAs in ADPKD include a family history of aneurysmal subarachnoid hemorrhage (SAH), early-onset or poorly controlled hypertension, and possibly more severe kidney disease (e.g., large total kidney volume and reduced kidney function). The PKD1 and PKD2 mutations in ADPKD lead to polycystin-1/-2 dysfunction in vascular cells, causing intrinsic vessel wall weakness. This weakness—compounded by chronic hemodynamic stress and inflammation—predisposes ADPKD patients to aneurysm formation. Clinically, most aneurysms in ADPKD are small (<7 mm), asymptomatic, and located in the anterior cerebral circulation. Their growth and rupture risk appears similar to aneurysms in non-ADPKD patients; however, ruptures in ADPKD occur at younger ages, underscoring the need for vigilant management. This narrative review provides a nephrology-oriented overview of intracranial aneurysms in ADPKD, including pathophysiology, epidemiology, and clinical management. Key Messages: -ADPKD carries a higher prevalence of intracranial aneurysms (≈5–20%) than the general population (≈3%). Key risk factors include a family history of aneurysm/SAH, early or poorly controlled hypertension, and possibly advanced renal disease. -Guidelines support targeted rather than universal screening, mainly in patients with family history or prior SAH. -Non-contrast MRA is the preferred modality, usually initiated around age 30 in at-risk individuals. -Most aneurysms are small and asymptomatic; small lesions are monitored with BP control and imaging, while larger or high-risk aneurysms are treated prophylactically. -Broader screening remains debated. Future genetic insights may improve risk stratification, but current practice requires balancing rupture prevention against over screening. Full article

(1) Background: The objective of this study was to investigate the modulatory effects of thiamine on BHBA metabolism, milk yield, and the rumen microbial ecosystem. (2) Methods: A total of 24 SCK dairy cows with similar body conditions were selected and randomly allocated to SCK (SCK) or SCK with thiamine supplement (SCKT) treatment. Twelve healthy dairy cows served as the control (CON) treatment. Milk yield, milk quality, ruminal fermentability parameters, rumen and fecal microbial communities were further measured. (3) Results: Thiamine significantly decreased BHBA content, milk CFUs, and somatic cells, while significantly increasing milk yield, milk fat, acetate, and the A/P ratio (p < 0.05). Thiamine-treated cows exhibited significantly increased ruminal and fecal Proteobacteria but significantly decreased ruminal Firmicutes (p < 0.05) as well as fecal Spirochaetes and Cyanobacteria (p < 0.05), compared with SCK cows. Functional analysis showed that differential rumen bacteria exhibited high energy metabolism, nucleotide metabolism, and glycan biosynthesis and metabolism, while the metabolism of terpenoids and polyketides were the primary functional pathways of differential fecal microbiota. (4) Conclusions: Thiamine supplementation in SCK cows effectively alleviated subclinical ketosis by reducing BHBA content, enhancing ruminal fermentability, and proliferating rumen microbial communities, leading to improved milk yield in the early-lactation period. Full article

Umami is a key determinant of pork flavor, but the association between the intestinal microbial community and umami differences remains unclear. Here, we used the taste-sensing electronic tongue system to divide the Duroc × Landrace × Yorkshire pigs into high, medium and low groups. We combined 16S rRNA gene and shotgun metagenomic sequencing to study the differences in the microbial community composition and functional genes. The results showed that the microorganisms in the cecum of different groups had a similar core microbial community. The Shannon diversity analysis showed that there were no significant differences among the different groups. The Bray–Curtis distance indicated that there were differences in the bacterial communities between the high umami group and the other two groups. The LEfSe analysis and Spearman correlation analysis revealed that the uncultured species CAG-632 sp900539185 maintained a high abundance in the high umami group and was significantly correlated with umami. Metagenomic functional analysis revealed distinct functional signatures among umami groups, with enrichment of genes related to carbohydrate transport and metabolism, butanoate and other short-chain fatty acid pathways, nitrogen utilisation, cell-surface structures, adhesion and RNA metabolism in high umami groups. These research findings indicate that the differences in the delicious flavor of pork are more likely to be associated with specific microbial species and the functional characteristics of the cecal microbial community, rather than the overall situation of the entire microbial community. Full article

Serotonin is a neurotransmitter that plays a crucial role in mood regulation and has several health-related functions in humans. Physical exercise (PE) has been proposed as a potential non-pharmacological strategy to modulate serotonin levels. Objective: This systematic review and meta-analysis aimed to investigate the effect of PE on circulating serotonin concentrations. Methods: Following PRISMA guidelines, a systematic search was conducted in PubMed, Web of Science, and Scopus, identifying 938 records. Randomized controlled trials with a PE intervention group and a non-PE usual care control group that meet the inclusion criteria were selected. Data were synthesized using a random-effects meta-analysis with standardized mean differences (SMD), and sensitivity analyses were performed using alternative pre–post correlation assumptions (r = 0.6–0.9). Study quality was assessed using the PEDro scale. Results: Five randomized controlled trials comprising 116 participants, all of them females, were included. The pooled analysis showed a non-significant effect of PE on circulating serotonin levels (SMD 1.48; p = 0.135; 95% CI −0.46 to 3.42), with extremely high heterogeneity (I² = 94.63%). Sensitivity analyses produced similar non-significant results and consistently high heterogeneity, indicating robustness of the original model. Methodological quality ranged from acceptable to good (PEDro scores 4–7). Conclusions: Current evidence, derived exclusively from female participants, does not support a significant effect of PE on serum or plasma serotonin levels. The substantial heterogeneity among studies and the generally moderate methodological quality limit the strength of the conclusions and generalizability of the conclusions. Further, high-quality randomized controlled trials with standardized measurement protocols are needed to clarify the influence of exercise on circulating serotonin levels. Full article

Notably, one of the key points to address low accuracy and delayed responsiveness of dam deformation prediction models lies in the timely detection of the outliers caused by environmental disturbances, sensor failures, or operational anomalies of dam monitoring sequences. Therefore, our work offers an unambiguous method for overcoming this challenge. In this paper, a robust prediction framework that integrates Complete Ensemble Empirical Mode Decomposition (CEEMD) and Isolation Forest (iForest) for effective outlier detection, followed by a Multi-Head Attention Bidirectional Gated Recurrent Unit (MHA-BiGRU) model for dam deformation prediction, is presented. The original deformation time series is first decomposed using CEEMD into a set of intrinsic mode functions (IMFs). This decomposition separates the series into trend-related components and noise components. Subsequently, the iForest algorithm is applied in outlier detection for noise components. Then, the BiGRU model is enhanced with an MHA mechanism to give more weight to the features that affect the sequences of monitoring dam deformation. By enabling the proposed model to focus on the key factors affecting dam deformation, the accuracy of the prediction results has been enhanced. Finally, a case study introducing monitoring data from a practical project in China demonstrates the performance of the proposed method. The proposed MHA-BiGRU model demonstrates superior performance across all tested scenarios. Notably, the coefficient of determination is consistently maintained above 0.98, peaking at 0.9880. In terms of error control, the model exhibits a maximum mean absolute error of 0.1789, thereby substantiating its exceptional prediction accuracy and robustness. In comparison with classical time series forecasting models, including LSTM, GRU and BiGRU, the proposed approach demonstrates enhanced robustness and delivers greater prediction accuracy. The findings provide a promising reference framework for dam structural characteristics prediction in similar projects. Full article

DLBCLs constitute an aggressive type of lymphoma with varied clinical, molecular and genetic features. The cells are characterized by NFkB pathway disturbances and BCL-2 and mTOR protein deregulation, which significantly inhibit apoptosis. Hence, many treatment strategies have been established to target the functioning of these pathways. While early clinical trials have found mTOR, NFkB and Bcl-2 inhibitors to have activity in many hematological cancers, their activity as monotherapy agents may still be insufficient; therefore, combinations of these compounds with other molecules demonstrating activity in a given cancer subtype are under evaluation. In vitro studies were conducted on the Riva (ABC subtype) and Toledo (GCB subtype) cell lines. Three novel drugs were administered: AZD2014 (vistusertib)—an inhibitor of the serine–threonine kinase mTOR; IMD-0354—an NFκB inhibitor; and ABT-199 (venetoclax)—a highly selective inhibitor for BCL-2. Drugs were administered alone, in pairs and as a combination of all three agents. For the Riva cell line, ABT-199 had the strongest pro-apoptotic effect on cancer cells as monotherapy. As pairs, AZD2014+ABT-199 and ABT-199+IMD0354 demonstrated similar effects. The combination of the three drugs did not have a stronger effect than the drug pairs. For the Toledo cell line, no significant differences were noted between the drugs when used as monotherapy. In pairs, the strongest effect was observed for AZD2014+ABT-199; furthermore, this effect was not intensified by the combination of the three drugs. Our findings, including those for the BCL-2 and mTOR inhibitors, indicate that there is a need for further in vivo studies to evaluate these drugs as potentially effective treatments for DLBCL of the ABC and GCB subtypes. Full article

Experimental results are reported to explore the role of release location and release volume on the dispersion of a dense gas cloud around an isolated cubic building. The experiments are analogous to the Thorney Island dense gas dispersion field tests, and the results are qualitatively similar to those of the full-scale tests. Water bath experiments were used in this study with fresh water in a flume representing the atmospheric wind and dyed saltwater representing the dense gas. Results are presented for different relative density flows, quantified using the Richardson number (Ri), for five different release volumes ranging from 10% to 60% of the building volume. Results are also presented for different upstream release distances ranging from 50% to 150% of the building height. Measurements show that there is a complex interaction between release volume, release distance, and Richardson number, and the resulting flow over and around the building. For releases close to the building, the cloud has little distance over which to adjust before being swept around the building and into the building wake. However, for larger release distances, there is adequate distance for the cloud to adjust, with the nature of the adjustment being a function of the Richardson number. For small Ri (low density difference), the cloud spreads out as it moves downstream, mixes with the ambient fluid, and increases in volume such that the volume of the cloud interacting with the building is larger than the initial release. For higher Ri flows (larger density difference), the dense cloud collapses down onto the channel bed, where it spreads out radially as it is advected downstream. The clouds are, therefore, much shallower than the building height when they collide with the building. This competition between the collapse of the cloud and its advection downstream is parameterized using a novel ‘adjusted Richardson number’ $R{i}^{*}$. Full article

Background: Energy metabolism progressively deteriorates from a healthy state to non-alcoholic fatty liver disease (NAFLD), and circulating lipopolysaccharide (LPS) may contribute to this process. However, previous studies have analyzed healthy individuals and NAFLD patients together, leaving stage-specific associations unclear. Whether LPS and its surrogate marker, lipopolysaccharide-binding protein (LBP), show similar relationships during NAFLD development also remains unknown. This study evaluated the associations between plasma LPS and LBP concentrations with clinical parameters in healthy individuals and NAFLD patients. Methods: We conducted a cross-sectional study of 31 healthy individuals (median age [IQR]: 31 (26–43) years) and 31 NAFLD patients (59 (54–70) years). Plasma LPS and LBP concentrations and clinical parameters were measured. Correlations were assessed using Spearman’s rank analysis, followed by multivariate regression adjusting for age, sex, and BMI. Results: Plasma LPS and LBP concentrations were significantly higher in NAFLD patients compared to healthy individuals. Additionally, in the univariate regression analysis for all study participants, plasma LPS concentrations were correlated with obesity, blood pressure, liver function, lipid metabolism, and glucose metabolism. Plasma LBP concentrations were also correlated with age, obesity, blood pressure, liver function, lipid metabolism, glucose metabolism, and inflammatory cytokines. In healthy individuals, LPS correlated positively with triglycerides (TG), remaining significant after adjustment and exclusion of participants with any clinical test values outside the normal range. This association was not observed in NAFLD patients. Plasma LBP did not correlate with TG in either group; however, it was inversely associated with hepatic fat fraction in NAFLD patients, although this association was attenuated after adjusting for alanine aminotransferase. Conclusions: Plasma LPS correlates with TG even in clinically healthy individuals, suggesting LPS may influence lipid metabolism before NAFLD onset. Full article

Atomic oxygen in low Earth orbit erodes polyimide, increasing surface roughness and degrading performance. The reactive species scission polymer chains and remove surface material, exposing fresh sites that accelerate further attack and disrupt thermal, electrical, and mechanical functions. In this paper, we evaluate nanoscale reinforcements of polyimide with graphene and metal oxides under controlled atomic oxygen exposure equivalent to 145 days at a 550 km orbit. Graphene with a thickness of few nanometers and particle size less than 2 µm, and metal oxides zirconia, zinc oxide, and titania with particle size less than 100 nm were investigated. Hybrids containing graphene plus metal oxide at a 1:1 ratio and a total loading of 0.75 wt% increased roughness relative to neat polyimide, with graphene-zirconia showing a rise of +121 percent, graphene-zinc oxide +10 percent, and graphene–titania +20 percent. The behavior is consistent with agglomeration, incomplete dispersion, and interfacial mismatch that hinder uniform blocking of atomic oxygen and limit formation of protective oxygenated groups. In contrast, single-filler composites at 0.75 wt% reduced average roughness, with graphene lowering S_a by about 59 percent, zirconia by about 51%, titania by about 47%, and zinc oxide by about 47%. Varying graphene loading from 0.25 to 0.75 wt% diminished erosive features at the higher end, but atomic force microscopy revealed isolated tall peaks at 0.75 wt%, indicating localized restacking or agglomeration. Mechanical testing of graphene-reinforced coatings on fiberglass showed a similar trade-off, with tensile strength around 23 MPa and peak load greater than 50 N at 0.5 wt% compared to about 21 MPa and 40 N at 0.75 wt%, while strain at break remained comparable. These results define practical limits for nanoparticle reinforcement in polyimide, linking filler identity, loading, and dispersion quality to atomic oxygen response and sustained function in LEO. Full article

Background: The extracellular-signal-regulated kinase (ERK) cascade regulates cell proliferation, differentiation, and survival, and ERK2 mediates substrate phosphorylation, influencing gene expression and cellular functions. Methods: In the current study, a pool of new molecules was generated using the DeLA-Drug, a machine learning (ML)-assisted de novo design tool. The chemical space was reduced through a similarity search against active ERK2 inhibitors and molecular docking with AutoDock vina, followed by pharmacokinetic assessment in DeepPK. Poses of the final selected molecules were refined in DiffDock, and dynamicity was assessed through molecular dynamics (MD) simulation. Finally, the free-energy perturbation (FEP)-based binding affinity was explored in Gromacs2023.4. Results: From the above approaches, four molecules (Ek1, Ek2, Ek3, and Ek4) were identified as promising candidates with favorable binding interactions. Molecular docking revealed that the selected molecules exhibited higher binding affinity for ERK2, ranging from −9.50 to −10.50 kcal/mol. The dynamics assessment via MD simulation clearly revealed their strong association with ERK2, corroborated by the lower deviation of the ERK2 backbone in dynamic states. All four screened molecules have satisfactory pharmacokinetic properties, medicinal chemistry properties, and good synthetic accessibility scores, indicating their potential as drug-like compounds under Lipinski’s rule of five to inhibit or modulate ERK2 activity. The FEP energy of Ek1 was found to be −26.85 kJ/mol, which is higher than the standard molecule (−22.77 kJ/mol) and indicates its strong affinity toward ERK2. Conclusions: These results suggest that all proposed ERK2 modulators are potential avenues for future drug discovery targeting ERK2, subject to experimental validation. Full article