Search Results (1,268)

This paper focuses on the triple-junction gallium arsenide solar array of a MEO (Medium Earth Orbit) satellite that has been in orbit for 7 years. Through a combination of theoretical and data-driven methods, it conducts research on anti-radiation design verification and life prediction. This study integrates the Long Short-Term Memory (LSTM) algorithm into the full life cycle management of MEO satellite solar arrays, providing a solution that combines theory and engineering for the design of high-reliability energy systems. Based on semiconductor physics theory, this paper establishes an output current calculation model. By combining radiation attenuation factors obtained from ground experiments, it derives the theoretical current values for the initial orbit insertion and the end of life. Aiming at the limitations of traditional physical models in addressing solar performance degradation under complex radiation environments, this paper introduces an LSTM algorithm to deeply mine the high-density current telemetry data (approximately 30 min per point) accumulated over 7 years in orbit. By comparing the prediction accuracy of LSTM with traditional models such as Recurrent Neural Network (RNN) and Feedforward Neural Network (FNN), the significant advantage of LSTM in capturing the long-term attenuation trend of solar arrays is verified. This study integrates deep learning technology into the full life cycle management of solar arrays, constructs a closed-loop verification system of “theoretical modeling–data-driven intelligent prediction”, and provides a solution for the long-life and high-reliability operation of the energy system of MEO orbit satellites. Full article

Soil moisture (SM) is a key variable in agricultural ecosystems and is crucial for drought prevention and control management. However, SM is influenced by underlying surface and meteorological conditions, and it changes rapidly in time and space. To capture the changes in SM and improve the accuracy of short-term and medium-to-long-term predictions on a daily scale, an LSTMseq2seq model driven by both observational data and mechanism models was constructed. This framework combines historical meteorological elements and SM, as well as the SM change characteristics output by the VIC model, to predict SM over a 90-day period. The model was validated using SMAP SM. The proposed model can accurately predict the spatiotemporal variations in SM in Jiangxi Province. Compared with classical machine learning (ML) models, traditional LSTM models, and advanced transformer models, the LSTMseq2seq model achieved R² values of 0.949, 0.9322, 0.8839, 0.8042, and 0.7451 for the prediction of surface SM over 3 days, 7 days, 30 days, 60 days, and 90 days, respectively. The mean absolute error (MAE) ranged from 0.0118 m³/m³ to 0.0285 m³/m³. This study also analyzed the contributions of meteorological features and simulated future SM state changes to SM prediction from two perspectives: time importance and feature importance. The results indicated that meteorological and SM changes within a certain time range prior to the prediction have an impact on SM prediction. The dual-driven LSTMseq2seq model has unique advantages in predicting SM and is conducive to the integration of physical mechanism models with data-driven models for handling input features of different lengths, providing support for daily-scale SM time series prediction and drought dynamics prediction. Full article

Living myocardial slices (LMSs) have shown great promise in cardiac research, allowing multicellular and complex interplay analyses with disease and patient specificity, yet their wider clinical use is limited by the large tissue sizes usually required. We therefore produced mini-LMSs (<10 mm²) from routine human cardiac surgery specimens and compared them with medium (10–30 mm²) and large (>30 mm²) slices. Size effects on biomechanical properties were examined with mathematical modeling, and viability, contraction profiles, and histological integrity were followed for 14 days. In total, 34 mini-, 25 medium, and 30 large LMS were maintained viable, the smallest measuring only 2 mm². Peak twitch force proved to be size-independent, whereas time-to-peak shortened as slice area decreased. Downsized LMSs displayed excellent contractile behavior for five to six days, after which a gradual functional decline and micro-architectural changes emerged. These findings confirm, for the first time, that mini-LMSs are feasible and viable, enabling short-term, patient-specific functional studies and pharmacological testing when tissue is scarce. Full article

The study at the Peggy Guggenheim Collection in Venice highlights critical interactions between indoor air quality, visitor dynamics, and microclimatic conditions, offering insights into preventive conservation of modern artworks. By analyzing pollutants such as ammonia, formaldehyde, and organic acids, alongside visitor density and environmental data, the research identified key patterns and risks. Through three seasonal monitoring campaigns, the concentrations of SO₂ (sulphur dioxide), NO (nitric oxide), NO₂ (nitrogen dioxide), NO_x (nitrogen oxides), HONO (nitrous acid), HNO₃ (nitric acid), O₃ (ozone), NH₃ (ammonia), CH₃COOH (acetic acid), HCOOH (formic acid), and HCHO (formaldehyde) were determined using passive samplers, as well as temperature and relative humidity data loggers. In addition, two specific short-term monitoring campaigns focused on NH₃ were performed to evaluate the influence of visitor presence on indoor concentrations of the above compounds and environmental parameters. NH₃ and HCHO concentrations spiked during high visitor occupancy, with NH₃ levels doubling in crowded periods. Short-term NH₃ campaigns confirmed a direct correlation between visitor numbers and the above indoor concentrations, likely due to human emissions (e.g., sweat, breath) and off-gassing from materials. The indoor/outdoor ratios indicated that several pollutants originated from indoor sources, with ammonia and acetic acid showing the highest indoor concentrations. By measuring the number of visitors and microclimate parameters (temperature and humidity) every 3 s, we were able to precisely estimate the causality and the temporal shift between these quantities, both at small time scale (a few minute delay between peaks) and at medium time scale (daily average conditions due to the continuous inflow and outflow of visitors). Full article

Background/Objectives: Anterior open bite (AOB) is a complex malocclusion characterized by the lack of vertical overlap between the upper and lower teeth during maximum intercuspation. It often results in functional impairments and aesthetic concerns. Traditional treatments for adult patients, including orthognathic surgery, are effective but invasive. Temporary anchorage devices (TADs) have emerged as a minimally invasive alternative. The aim of this systematic review and meta-analysis was to evaluate the effectiveness of TADs for molar intrusion in the correction of AOB. Methods: A systematic review was conducted according to the PRISMA 2020 guidelines. An electronic search was performed in PubMed and Scopus until March 2025. The inclusion criteria comprised clinical studies in humans published in English or Spanish in the last 10 years. The risk of bias was assessed using RoB 2, ROBINS-I, and the Joanna Briggs Institute tools. A random-effects meta-analysis was carried out to estimate pooled intrusion values, and heterogeneity was evaluated using Cochran’s Q test and the I² statistic. Results: Twelve studies were included. Molar intrusion using TADs achieved significant overbite improvements, with a pooled mean intrusion of 1.70 mm (95% CI: 0.53–2.87 mm). The heterogeneity among studies was high (I² = 88.5%). Despite variability in force magnitude and TAD type, lighter forces were generally associated with similar outcomes and fewer adverse effects. Conclusions: TADs offer a predictable and less invasive alternative to orthognathic surgery for AOB correction. When appropriately indicated and biomechanically managed, they provide effective vertical control and short- to medium-term stability in adult patients. Full article

The management of end-stage kidney disease (ESKD) poses a substantial clinical and economic challenge, characterized by a growing patient burden, rising healthcare costs, and persistent unmet needs to enhance survival outcomes and quality of life. Background/Objectives: Conventional high-flux hemodialysis (HD) remains the dominant form of renal replacement therapy for ESKD but is still associated with substantial morbidity and mortality. High-volume post-dilution online hemodiafiltration (HVHDF) offers a promising alternative by enhancing the convective removal of uremic toxins. Methods: We conducted a narrative review of randomized controlled trials, meta-analyses, real-world cohort studies, and registry analyses published between 2010 and 2024. Evidence was categorized into short-term, medium-term, and long-term outcomes, including hemodynamic stability, inflammation, anemia, infection risk, cardiovascular events, cognitive decline, quality of life, and survival. Results: HVHDF improves short-term outcomes by enhancing toxin clearance, stabilizing blood pressure, reducing inflammation and oxidative stress, and improving anemia management. Medium-term benefits include improved nutritional status, reduced hospitalizations related to infections, and improved neurological and immune function. Long-term data from major trials (e.g., ESHOL, CONVINCE) and large real-world studies show consistent reductions in all-cause and cardiovascular mortality, particularly with convection volumes ≥ 23 L/session. A clear dose–response relationship supports the clinical relevance of convection volume targets. HVHDF has also shown benefits in preserving cognitive function and enhancing health-related quality of life. Conclusions: Strong and converging evidence supports HVHDF as a superior dialysis modality. Given its survival benefits, better tolerance, and broader impact on patient outcomes, HVHDF should be considered the new standard of care in dialysis, especially in light of the recent regulatory approval of the machine that provides the ability to perform HDF in the United States. Full article

Introduction: Total temporomandibular joint replacement (TMJR) is a well-established surgical solution for patients with severe TMJ disorders. It aims to relieve chronic pain, restore jaw mobility, and significantly enhance quality of life. This systematic review evaluates QoL outcomes following TMJR, analyzes complication profiles, compares custom versus stock prostheses, explores pediatric applications, and highlights technological innovations shaping the future of TMJ reconstruction. Methods: A systematic search of PubMed, Embase, and the Cochrane Library was conducted throughout April 2025 in accordance with PRISMA 2020 guidelines. Sixty-four studies were included, comprising 2387 patients. Results: Primary outcomes assessed were QoL improvement, pain reduction, and functional gains such as maximum interincisal opening (MIO). Secondary outcomes included complication rates and technological integration. TMJR consistently led to significant pain reduction (75–87%), average MIO increases of 26–36 mm, and measurable QoL improvements across physical, social, and psychological domains. Custom prostheses were particularly beneficial in anatomically complex or revision cases, while stock devices generally performed well for standard anatomical conditions. Pediatric TMJR demonstrated functional and airway benefits with no clear evidence of growth inhibition over short- to medium-term follow-up. Complications such as heterotopic ossification (~20%, reduced to <5% with fat grafting), infection (3–4.9%), and chronic postoperative pain (~20–30%) were reported but were largely preventable or manageable. Recent advancements, including CAD/CAM planning, 3D-printed prostheses, augmented-reality-assisted surgery, and biofilm-resistant materials, are enhancing personalization, precision, and implant longevity. Conclusions: TMJR is a safe and transformative treatment that consistently improves QoL in patients with end-stage TMJ disease. Future directions include long-term registry tracking, growth-accommodating prosthesis design, and biologically integrated smart implants. Full article

Background: Primary focal hyperhidrosis, characterized by excessive sweating primarily affecting the hands and axillae, can significantly impact quality of life. Bilateral thoracic sympathectomy is the gold standard treatment, providing permanent resolution of palmar hyperhidrosis. Most studies evaluating outcomes and patient satisfaction after sympathectomy focus on short- to medium-term follow-up, typically up to 5 years. This study aimed to assess anxiety, satisfaction, and sweat redistribution 20 years after bilateral endoscopic thoracic sympathectomy. Methods: Between January 2002 and December 2003, 106 patients with primary hyperhidrosis underwent bilateral endoscopic thoracic sympathectomy targeting ganglia T2–T3 at our center. The patients were contacted via telephone in 2023 and asked to complete the same survey they had filled out preoperatively and 12 months postoperatively. The survey evaluated sweat redistribution, anxiety, hyperhidrosis-related symptoms, and satisfaction. Anxiety, satisfaction, and perceived sweating were rated using a 5-point visual analog scale (VAS) ranging from 0 (unsatisfied/no symptoms) to 4 (very satisfied/severe symptoms). Results: Of the 106 eligible patients, 24 (22.6%) completed the survey. Most reported persistent anhidrosis (palmar or palmar–axillary) 20 years post-surgery. The survey results remained consistent with those at the 1-year follow-up. Significant sweat redistribution to the abdomen and back was observed. Patient satisfaction remained high, with no significant differences between the 1-year and 20-year assessments. Anxiety significantly decreased compared to preoperative levels (p < 0.001). Conclusions: Bilateral endoscopic thoracic sympathectomy is an effective long-term treatment for reducing excessive sweating. Patient satisfaction remains high over time, despite the persistence of compensatory sweating. Full article

Background/Objectives: Subarachnoid hemorrhage (SAH) due to ruptured intracranial aneurysms remains a critical neurosurgical emergency with high morbidity and mortality. The presence of multiple intracranial aneurysms (MIAs) in SAH patients presents a therapeutic challenge, particularly in choosing between single-stage and multiple-stage interventions. In patients with aneurysmal SAH and multiple intracranial aneurysms, we compared single-stage vs. multiple-stage interventions regarding vasospasm occurrence, complication rates, and short-term neurological outcomes in a retrospective cohort. Methods: This retrospective cohort study included 44 patients diagnosed with aneurysmal SAH and at least one additional unruptured aneurysm. Patients were categorized based on the intervention strategy. A “single-stage” intervention was defined as treatment of both the ruptured and all unruptured aneurysms in the same operative session. A “multiple-stage” intervention referred to a planned approach in which additional aneurysms were treated in separate, subsequent procedures. Clinical severity was assessed using scores. Aneurysm characteristics and treatment modalities were recorded. Outcomes were analyzed and compared between intervention groups. Statistical analysis was performed, with p < 0.05 considered significant. Results: The cohort included 44 patients with a total of 109 aneurysms. Most patients were female (68.2%), with a mean age of 54.5 years. The majority of aneurysms were small- to medium-sized and commonly located in the anterior circulation. Among the patients, 19.0% underwent single-stage interventions, and 28.6% underwent multiple-stage procedures. Vasospasm occurred significantly more often in the single-stage group (83.9% vs. 46.2%, p = 0.028). No significant difference was found in hospital stay duration between groups. The MRS scores showed a trend toward worse outcomes in the single-stage group (p = 0.060), as did the rates of post-operative neurological deficits (p = 0.079). Conclusions: In patients with SAH and MIAs, single-stage interventions may increase vasospasm risk. Although they offer logistical benefits, outcomes should be interpreted with caution given baseline differences and limited statistical adjustment. Full article

The timing accuracy of eLoran systems is susceptible to meteorological fluctuations, with medium-to-long-range propagation delay variations reaching hundreds of nanoseconds to microseconds. While conventional models have been widely adopted for short-range delay prediction, they fail to accurately characterize the coupled effects of multiple factors in long-range scenarios. This study theoretically examines the influence mechanisms of temperature, humidity, and atmospheric pressure on signal propagation delays, proposing a hybrid prediction model integrating meteorological data with a back-propagation neural network (BPNN) through path-weighted Pearson correlation coefficient analysis. Long-term observational data from multiple differential reference stations and meteorological stations reveal that short-term delay fluctuations strongly correlate with localized instantaneous humidity variations, whereas long-term trends are governed by cumulative temperature–humidity effects in regional environments. A multi-tier neural network architecture was developed, incorporating spatial analysis of propagation distance impacts on model accuracy. Experimental results demonstrate enhanced prediction stability in long-range scenarios. The proposed model provides an innovative tool for eLoran system delay correction, while establishing an interdisciplinary framework that bridges meteorological parameters with signal propagation characteristics. This methodology offers new perspectives for reliable timing solutions in global navigation satellite system (GNSS)-denied environments and advances our understanding of meteorological–electromagnetic wave interactions. Full article

The forestry industry, both primary (sawn wood production) and secondary (output of reels, pallets, boxes, cooperage, and tool handles), is growing in importance in Honduras. In 2023, exports from this industry were mainly destined for Central America (58.19%), followed by North America (22.92%) and the Caribbean region (17.20%), with hardly any Honduran wood reaching Asia or Europe. Objective: The goal of this paper is to analyze the current situation of the Honduran timber industry, which is defined by its environmental deterioration caused by the overexploitation of timber resources. Methodology: Using secondary data from official national and international sources regarding the forestry industry in Honduras, we conducted a Welch’s ANOVA analysis added to two post hoc tests (Tukey and Bonferroni), complemented by a linear regression analysis using JASP software, version 0.19.3.0. to carry on our analysis. Findings: The results of our analysis underscore the urgent need to implement a series of public policies in both the medium and short term to strengthen the forestry industry in Honduras. One of Honduras’ greatest strengths is its civil society, particularly its indigenous communities, which are actively working to protect their land from deforestation and soil degradation. If public policies are not implemented in collaboration with private firms to foster the Honduran forest industry cluster, it could lead to significant socioeconomic and environmental consequences. These may include increased pressure on natural forests, rising unemployment, and the loss of an essential income source for forest owners, ultimately exacerbating poverty. Full article

Nature-based solutions (NBS) have attracted increasing attention in local air quality and climate change adaptation plans as suitable measures to reduce health risks. Although several studies have reported health benefits from short-term urban cooling effects of NBS, medium- to long-term health benefits are still poorly understood. In this study, we assess the changes in long-term mortality related to temperature fluctuations induced by city-scale vegetation actuations in three Southern European cities. We performed two annual high-resolution simulations with the Weather Research and Forecasting model to anticipate the impact of future revegetation strategies on temperature in these urban areas. Further, we assessed the impact of temperature changes on health using a country-specific minimum mortality temperature (MMT) reported in scientific literature. It was found that NBS could provide non-negligible reductions of long-term mortality related to temperature regulation (central estimate of 4.1, 1.2, and 3.4 cases avoided per year in Madrid, Milano, and Bologna, respectively). The effect of vegetation is site-dependent, and the cooling effect explains most of the benefits, especially in densely built-up areas of the cities analyzed. Future research should combine short/long-term temperature effects with other indirect implications (air quality, mental health) in the context of climate change. Full article

Background/Objectives: In recent years, there has been increasing interest in the scientific, educational, and health sectors in investigating aspects upon which to design physical-activity interventions to prevent cognitive decline, a phenomenon that affects levels of autonomy and quality of life in older adulthood. Physical activity (PA) has been shown to be an effective strategy that can be used to preserve executive functions (EFs) by improving brain flexibility and efficiency. This systematic review aims to identify the most effective strategies used to maintain EF, prevent decline, and promote independence in the elderly. Methods: A systematic literature review was conducted according to PRISMA guidelines. The search was conducted in the following databases: Google Scholar, PubMed, Scopus, and Web of Science; the search used keywords such as “cognitive decline”; “cognitive flexibility”; “elderly”; “executive functions”; “inhibition”; “physical activity”; and “working memory”. Experimental studies published between 2019 and 2025 examining the effects of PA on EFs in adults over 60 were selected. After considering the inclusion and exclusion criteria, nine studies were included. The methodological quality of the included studies ranged from moderate to high according to the PEDro scale. Results: The analyzed studies show that short-term interventions positively affect one or two components of EFs, while medium- and long-term interventions produce benefits for all components (working memory, inhibition, and cognitive flexibility). Interventions combined with cognitive stimulation show a greater impact than PA alone. Conclusions: PA is an effective strategy for preserving EFs in the elderly, but the lack of standardized protocols makes it difficult to identify optimal interventions. Further research is needed to more precisely define the most effective intervention approaches. Full article

Background/Objectives: The optimal surgical management of perforated gastric cancer (PGC) in emergency settings remains controversial. Urgent upfront one-stage gastrectomy (1SG) and two-stage gastrectomy (2SG) with damage-control surgery followed by elective gastrectomy have been proposed. The aim of the present systematic review is to compare short- and long-term outcomes between 1SG and 2SG in the treatment of PGC. Methods: A systematic review and individual patient data (IPD) meta-analysis of studies reporting data of patients undergoing 1SG vs. 2SG for PGC was conducted. The time-dependent effects of surgical interventions were assessed using a likelihood ratio test. Hazard function plots were generated via marginal prediction. Results: Ten retrospective series (579 patients) were included. Overall, 482 patients (83%) underwent 1SG, while 97 patients (17%) were treated with 2SG. A trend toward better short-term oncological outcomes and safety profiles for 2SG compared to 1SG was observed. Long-term outcomes were comparable between 1SG and 2SG, and the IPD meta-analysis showed no statistically significant difference between the two approaches in terms of OS or hazard for mortality at all time points. A trend towards a higher hazard for mortality was observed for 1SG in the first 20 months postoperatively. Conclusions: Our analysis suggests that 1SG and 2SG yield comparable short-term outcomes, although 2SG may be associated with a lower medium-term mortality risk. Further research is needed to identify key factors to improve clinical judgments and decision-making in PGC. Full article

Greenhouses offer optimal environments for crop cultivation during the winter months. The rationale for this study was identified as the synergistic exchange of air between the soil, the wall, and the indoor environment within the greenhouse (referring to the coupling law of the temperature fields of the three elements in space and time, including the direction of heat transfer and the consistency of the temperature zoning), thereby maintaining a more optimal temperature. However, there is a paucity of research on the impact of different spans on the thermal environment in solar greenhouses and even fewer studies on the synergistic law of changes in soil-wall indoor air in solar greenhouses with different spans. In this study, two solar greenhouses with different spans were analyzed through a combination of experiments as follows: K-means classification optimized using the grey wolf optimizer (GWO), computational fluid dynamics (CFD) simulations, and long short-term memory (LSTM) prediction models. The two solar greenhouses, designated as S1 and S2, had spans of 11 m and 10 m, respectively. The results are as follows: In two greenhouses when the span and temperature were the same, the indoor air temperature and soil temperature of the S1 greenhouse were lower than those of the S2 greenhouse; there was an isothermal layer in the north wall of greenhouses S1 and S2 (a stable area where the temperature change over time is less than 0.5 °C), the horizontal distance between the isothermal layer on the inside of the greenhouse wall and the inside of the wall was more than 400 mm, and that of the outside of the greenhouse wall was more than 200 mm; within the solar greenhouse, this study identified that heat was emitted from the inner surface of the wall (at 0 mm from the inner surface) toward the outer surface of the wall (at 0 mm from the outer surface), as well as at a horizontal distance of 200 mm from the inner surface of the wall. The temperature data from 0:00 to 8:00 at night were selected for the purpose of analyzing the temperature synergistic change in soil-wall indoor air in the S1 greenhouse. The temperature change can be classified into four categories according to K-means classification, which was optimized based on the grey wolf algorithm. The categories were as follows: high-temperature region, medium-high temperature region, medium-low temperature region, and low-temperature region. The low-temperature region spanned the range of X = (800, 3000) mm, and its height range was Y = (−150, 1200) mm. The CFD model and LSTM prediction model have been shown to be superior, and the findings of this study offer a theoretical basis for the optimization of thermal environment control in solar greenhouses. Full article