South Colombian University (Spanish: Universidad Surcolombiana), also known as USCO, is a public, national, university based primarily in the city of Neiva, Huila, Colombia..
Climate change and the transformation of Colombian Andean ecosystems pose a serious threat to climate-sensitive plant species, whose persistence is strongly constrained by microclimatic conditions. Given the scarcity of high-resolution climatic monitoring in Andean Mountain ecosystems, this study proposes and evaluates an operational framework for reconstructing relative microclimatic gradients associated with the persistence of Oncidium alexandrae in the Distrito Regional de Manejo Integrado Cerro Banderas-Ojo Blanco under conditions of climatic data scarcity. Specifically, we assess whether spatial corrections based on topography and vegetation structure, derived from a single meteorological station, can recover environmentally coherent patterns relevant to species persistence. Using species occurrence records and monthly meteorological data from the single sensor closest to the sampling area, we found that Oncidium alexandrae persists under average monthly temperatures between 9 degrees C and 18 degrees C, total monthly precipitation of 9 to 840 mm, average monthly relative humidity between 55% and 77%, and total monthly solar radiation of 28 to 150 kWh/month. A strong dependence on forest cover is observed, with a 20% reduction in maximum vegetation density decreasing species detection to below 60%. Environmental suitability mapping identified priority conservation areas at intermediate to high elevations characterized by high humidity, abundant rainfall, and reduced radiation exposure. Although the species exhibits climatic ranges comparable to those reported in previous studies, its current distribution at higher elevations suggests a spatial shift aimed at maintaining survival-related meteorological conditions, highlighting the impacts of recent climatic variability on Andean ecosystems.
Microplastic pollution is a major global sustainability challenge, affecting ecosystems, human health, and progress toward the United Nations Sustainable Development Goals (SDGs). Although scientific output has grown rapidly, limited research has systematically examined the evolution, structure, and knowledge gaps of this field. This study addresses that need through a three-phase approach: (1) a bibliometric analysis of 12,544 publications from 1974 to 2025; (2) the application of machine learning techniques, including natural language processing, logistic regression, Random Forest, and XGBoost, to identify influential contributions; and (3) a systematic review of key studies published between 2021 and 2025, developed from the results obtained through the logistic regression model and conducted following the PRISMA protocol. Data were retrieved from Scopus and analyzed in R using the Bibliometrix package for text mining and data cleaning, complemented by the Tree of Science method to map citation-based knowledge structures. Results indicate that China, the United States, and India lead in publication output and methodological diversity. Despite this growth, important gaps persist, particularly the lack of standardized detection methods and insufficient research on interactions between microplastics and other pollutants. The findings underscore the need for integrative conceptual frameworks to reduce theoretical fragmentation and strengthen evidence-based policymaking. Overall, the field is shifting from impact assessment toward solution-oriented research, highlighting the importance of aligning technological innovation in degradation and resource recovery with environmental risk management and circular economy strategies.
This research analyzes a predator–prey model with hunting cooperation and an alternative food supply for predators. We demonstrate the presence of a region of invariance first, followed by the boundedness of the system’s trajectories and the permanence of the solutions. Additionally, we show that the equilibrium point (0, 0) possesses the property of being a repeller. The requirements for the occurrence of two positive equilibrium points are explicitly given. The first equilibrium point has the characteristic of being a weak focus, repeller, or attractor, and the second equilibrium point is a saddle. In addition, we identify two crucial scenarios: (i) A separatrix curve Σ̅ divides the solutions into qualitatively different sectors, and (ii) a positive saddle point generates a homoclinic curve through the stable to unstable manifolds. These facts highlight how sensitive the system is to beginning conditions, especially in proximity to the separatrix. Furthermore, the dynamics of the model can be strongly affected by Hopf, Bogdanov–Takens, and transcritical bifurcations that the system may experience. Finally, we validate our analytical results using bifurcation diagrams and numerical simulations.
Coronary artery disease (CAD) requiring multivessel revascularization, commonly defined by involvement of the left anterior descending artery plus ≥1 major epicardial vessel, left-main disease, or elevated anatomic complexity such as higher SYNTAX scores, is traditionally managed with conventional sternotomy coronary artery bypass grafting (CABG), but its invasiveness has driven interest in minimally invasive alternatives. This systematic review compares cardiac outcomes of minimally invasive coronary revascularization versus conventional CABG in patients with multivessel or complex CAD. The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and searched PubMed/MEDLINE, Google Scholar, the Cochrane Library, and ScienceDirect from inception to November 2025. Minimally invasive techniques included minimally invasive direct CABG (MIDCAB), minimally invasive multivessel CABG (MICS-CABG), endoscopic or robotic-assisted CABG (TECAB/Endo-CAB), and hybrid coronary revascularization (HCR) combining minimally invasive LIMA-left anterior descending (LAD) grafting with percutaneous coronary intervention (PCI). Comparative studies versus conventional sternotomy CABG were eligible. Two reviewers independently performed study selection, data extraction, and quality assessment using ROB 2.0 for randomized controlled trials (RCTs) and ROBINS-I for observational studies. Nineteen studies were included, comprising a small number of RCTs and predominantly propensity-matched or retrospective comparative cohorts, which informed confidence in findings. Due to substantial heterogeneity in surgical approaches, patient selection, outcome definitions, and follow-up duration, results were synthesized narratively. Across the included evidence, minimally invasive coronary revascularization demonstrated cardiac outcomes comparable to conventional CABG in complex CAD patients. Early (in-hospital or 30-day) and mid-term (1-5 year) mortality remained low and similar between groups, typically ranging from 0.5-3%. Rates of myocardial infarction and stroke were likewise comparable, generally within 1-4% and 0.5-2%, respectively. Composite major adverse cardiac/cerebrovascular events (MACCE/MACE) outcomes were equivalent across approaches, most commonly 5-12%. Atrial fibrillation was less frequent in several endoscopic or highly minimally invasive cohorts, though reductions were not uniform across all techniques. Repeat revascularization ranged from 2-7%, with slightly higher rates observed in some HCR cohorts, likely reflecting PCI durability rather than failure of the surgical LIMA-LAD graft. Perioperative outcomes consistently favored minimally invasive approaches, including reduced blood loss, shorter ventilation times, and decreases of 0.5-2 days in ICU stay and 2-4 days in total hospital stay. Standardized cardiac functional measures, such as LVEF or heart failure class, were inconsistently reported and therefore not pooled. Overall, minimally invasive coronary revascularization provides major clinical outcomes comparable to conventional CABG while offering meaningful reductions in perioperative morbidity and faster recovery, supporting its selective use in appropriately chosen complex CAD patients, particularly in experienced, high-volume centers.
Objective: Analyze physical fitness variables and body composition to define patterns or similarities in performance using principal component analysis. Materials and Methods: Sixty-eight players participated in the study, divided into three groups according to their age: Under-13 (n = 23), Under-15 (n = 27) and Under-17 (n = 18). A comparative cross-sectional study was performed. The variables analyzed were squat jump, countermovement jump, countermovement jump with arms, hamstring strength, COD-Timer 5-0-5, COD-Timer 5 + 5, speed (5, 10, 15 m), and running anaerobic sprint test. Body composition variables were skinfold thickness, diameters, and circumferences. Results: For the squat jump, 10.4% of the variability in speed (η2 = 0.104) and 12.5% of the variability in jump height (η2 = 0.125) are explained by category, both with moderate effect sizes. For the countermovement jump, 10.8% of the variability in speed (η2 = 0.108) and 13.2% of the variability in jump height (η2 = 0.132) are explained by category, both with moderate effects. For the running anaerobic sprint test power test, a large effect size was determined for each of the six times, indicating that at least 57.4% of the variability in time is explained by category. Conclusions: Two control groups were identified according to category (Under-13, Under-15, Under-17), revealing that principal component 1 and principal component 2 were significant in the performance of anthropometric variables such as residual mass, bi-styloid diameter, arm span, and residual mass, and physical variables, specifically related to COD-Timer 5 + 5, COD-Timer 5-0-5, and speed.
