Results 71 to 80 of about 1,844,910 (367)
Risk assessment using IEUBK model for the Naica mine tailings
Abstract Mexico has a long history of mineral extraction, during which limited environmental regulations allowed the accumulation of toxic waste near communities, primarily in rural or undeveloped areas. Some of these toxic substances, such as lead, pose significant risks to vulnerable populations, particularly children aged 0 to 7 years.
A. Contreras‐Guardiola +4 more
wiley +1 more source
Vaivenes de un tópico: la contraposición corte y aldea en el último Lope de Vega
El menosprecio de corte y la alabanza de aldea es un leit motiv en varias de las comedias del Lope de senectud. En ellas vemos cómo ambos espacios se cargan de un peculiar significado y cómo reflejan simbólicamente siempre las mismas ideas, aquellas que ...
Esperanza Rivera Salmerón
doaj +1 more source
Experimental investigation of concrete fatigue resistance [PDF]
A lack of knowledge on the fatigue resistance of self-compacting concrete (SCC) structures has led to the research presented in this paper. Several reinforced concrete beams were subjected to both static and cyclic four-point bending tests in order to ...
Boel, Veerle +3 more
core
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Este trabalho teve por objetivo avaliar o efeito da aplicação de danos mecânicos por impacto, compressão e corte em abacates 'Geada'. O trabalho consistiu em duas etapas: na primeira, o impacto foi aplicado deixando-se os frutos caírem, em queda livre ...
Juliana Sanches +2 more
doaj +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
A UHPLC‐MS/MS method was developed to simultaneously quantify four capsaicinoids and 19 phenolic compounds, the key bioactive constituents in chili peppers. It exhibits high sensitivity, low matrix effects, excellent accuracy, and precision, enabling reliable detection in chili samples.
Shaoyun Wu +10 more
wiley +1 more source
Urolithin A, a gut microbial metabolite, binds TNF to suppress proliferation, inflammation, and oxidative stress, offering a promising microbe‐derived therapeutic avenue for pulmonary hypertension. ABSTRACT Pulmonary hypertension (PH) is a complex and multifactorial disease that poses a significant clinical challenge.
Yujie Qu +8 more
wiley +1 more source
Availability of Cancer Screening Across HIV Treatment Sites in the IeDEA Consortium
In recent years, incorporating comprehensive cancer screening strategies into routine HIV care has gained growing attention. This survey of 220 sites providing HIV care across 41 countries shows that cervical cancer screening has increased in availability over time.
Rachael A. Pellegrino +32 more
wiley +1 more source

