Amec Foster Wheeler (United States)

In this Perspective, we examine the implications of modern cold-accretion and disk-mediated paradigms for two widely cited impact hypotheses: the Moon-forming giant impact and the Late Heavy Bombardment, with attention to consequences for planetary thermal histories and early habitability. Rather than seeking to invalidate these hypotheses, we aim to assess the extent to which their underlying assumptions remain compatible with evolving formation paradigms. Particular attention is given to the consequences for planetary thermal histories, crustal stability, volatile retention, and early habitability. We further outline observational and theoretical constraints that may help distinguish between competing formation–impact scenarios as planetary science continues to develop.

El Aprendizaje Basado en Proyectos (ABP) se ha consolidado como una metodología activa orientada a fortalecer la conexión entre los procesos educativos y las situaciones reales del entorno, favoreciendo aprendizajes significativos y el desarrollo de competencias integrales en los estudiantes. En el contexto educativo actual, caracterizado por la necesidad de formar sujetos críticos, autónomos y capaces de resolver problemas complejos, el ABP se presenta como una alternativa pedagógica pertinente frente a los modelos tradicionales de enseñanza. El objetivo de este estudio fue analizar el Aprendizaje Basado en Proyectos como estrategia pedagógica para conectar el aula con la vida real, a partir de la revisión de aportes teóricos y metodológicos presentes en la literatura científica. La investigación se desarrolló bajo un enfoque cualitativo, con un diseño descriptivo y de carácter documental. Para ello, se realizó una revisión sistemática de fuentes académicas publicadas principalmente entre los años 2019 y 2024, seleccionadas a partir de criterios de pertinencia temática, actualidad y rigor científico. La información recopilada fue organizada mediante una matriz de análisis documental y categorizada en función de los fundamentos pedagógicos del ABP, el rol del docente y del estudiante, y su contribución al aprendizaje significativo. Los resultados evidenciaron que el Aprendizaje Basado en Proyectos favorece la integración de los contenidos curriculares con problemas reales, incrementa la motivación estudiantil y fortalece competencias cognitivas, sociales y actitudinales, tales como el pensamiento crítico, el trabajo colaborativo y la autonomía. Asimismo, se identificó que el rol docente se transforma hacia una función mediadora y orientadora del aprendizaje. Se concluye que el ABP constituye una estrategia pedagógica eficaz para vincular el aula con la vida real; no obstante, su implementación requiere planificación didáctica estructurada, formación docente continua y apoyo institucional para garantizar su aplicación sostenible en los contextos educativos.

La neuroeducación ha emergido como un campo interdisciplinario que busca mejorar los procesos de enseñanza y aprendizaje mediante la integración del conocimiento científico sobre el cerebro y la práctica docente. Sin embargo, en muchos contextos educativos persisten creencias erróneas o neuromitos que limitan la implementación de estrategias pedagógicas fundamentadas en evidencia. El objetivo de este estudio fue analizar el impacto de una intervención formativa en neuroeducación en la transformación del conocimiento y las prácticas docentes, evaluando cambios en creencias, estrategias pedagógicas y toma de decisiones didácticas. Se empleó una metodología de enfoque mixto con diseño cuasi experimental, que incluyó un pretest, capacitación formativa y postest, complementada con entrevistas semiestructuradas y observaciones de aula. La muestra estuvo conformada por 22 docentes de Educación Básica. Los resultados cuantitativos evidenciaron un incremento del 38,7% en el nivel de comprensión conceptual sobre neuroeducación, mientras que los datos cualitativos mostraron una transición desde prácticas tradicionales hacia metodologías activas, multisensoriales, inclusivas y afectivamente significativas. La intervención también redujo de forma notable la presencia de neuromitos y fortaleció la planificación pedagógica basada en evidencia. Se concluye que la formación docente sustentada en neuroeducación contribuye al desarrollo profesional y favorece prácticas educativas más reflexivas, eficaces y alineadas con la manera en que el cerebro aprende. Estos hallazgos resaltan la relevancia de incluir la neuroeducación en procesos de capacitación docente y abren líneas futuras de investigación longitudinal y específica por áreas disciplinares.

chronic kidney disease (CKD) is becoming a major global health challenge, often going unnoticed until it reaches an advanced stage and causes significant damage to the kidneys. In this study, we focus on using patient data to develop a machine learning-based system that can help detect CKD at an early stage. The dataset used was taken from the UCI Machine Learning Repository and contained several missing values, which were handled using the K-Nearest Neighbour (KNN) imputation technique to ensure data quality. We trained and tested various machine learning models, including Logistic Regression (LOG), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbours (KNN), Naïve Bayes (NB), and Feedforward Neural Network (FNN). Among these, an integrated model that combined the predictions of Logistic Regression and Random Forest using a perceptron-based approach delivered better diagnostic performance. The proposed system showed promising results and could potentially support healthcare professionals in identifying CKD at an early, more treatable stage.

Abstract Accurate protein synthesis depends on the proper recognition of stop codons by release factors (RFs). The human mitochondrial genome deviates from the standard genetic code by using not only the canonical stop codons UAG and UAA but also two non-canonical stop codons, AGA and AGG. Consequently, human mitochondria employ two release factors—mtRF1a and mtRF1—that recognize canonical and non-canonical stop codons, respectively. Surprisingly, mtRF1 is conserved across vertebrates, despite the absence of non-canonical stop codons in many species. Here, we investigate the function of mtRF1 in Mus musculus, whose mitochondrial open reading frames (mt-ORFs) lack non-canonical stop codons. Using a combination of biochemical approaches and mitoribosome profiling, we demonstrate that mtRF1 retains functional activity as a non-canonical RF, mediating an alternative release mechanism for COX1 via stop codon readthrough. Similarly, in human mitochondria, AGG stop codon readthrough enables ND6 release by mtRF1a in the absence of mtRF1. Our data reveal that mitoribosome stop codon readthrough is a conserved mechanism that compensates for the loss of RFs. While this mechanism facilitates access to alternative stop codons, it is also associated with RNA degradation. A targeted siRNA screen shows that components of the mitochondrial degradosome—including PNPase and SUV3—as well as the mitochondrial poly(A) polymerase MTPAP, participate in this decay pathway. Together, our study provides new insights into mitochondrial translation termination and RNA quality control, revealing stop codon readthrough as a rescue mechanism that enables the completion of mitochondrial protein synthesis when standard termination fails.

Atom interferometers make use of the interference of matter waves for precise measurement of motion. Employing 3D-laser-cooled atoms provides improved fringe contrast, while measuring in a continuous beam architecture provides high-bandwidth measurement, error suppression of time-varying signals, and the elimination of measurement dead time. In this paper, we discuss the initial observation of interference signals in a dual-beam, 3D-cooled atomic beam interferometer architecture. Additionally, we perform initial characterization of the response of the atom interferometer signal to laser intensity and frequency noise.

Climate change is projected to alter rainfall patterns in many parts of the US and around the world, highlighting the importance of stormwater management systems within resiliency efforts. Stormwater systems typically are designed based on historical rainfall records with the assumption of climate stationarity. This assumption is no longer valid for many locations, leaving a gap in the knowledge about how to ensure that these systems will meet the desired level of service over their design life. Researchers and practitioners have begun exploring how to incorporate future climate scenarios into the design of stormwater systems to maintain the current level of function well into the future. Despite this, uncertainty remains about how to manage cloudburst events, the water quality implications of climate change, and how to incorporate uncertainty in climate model outputs into engineering designs. In the absence of unifying design criteria for incorporating climate change into infrastructure design, communities have begun to form their strategies, from updating intensity–duration–frequency curves to characterizing rainfall based solely on “recent” historical data. As the debate continues regarding how to best protect communities against uncertain future weather patterns, a set of critical considerations has emerged. There is a dire need to explicitly define what resiliency means for stormwater management systems under a climate change paradigm to allow for clear design criteria that incorporate uncertainty and can achieve favorable outcomes at the system scale. There also is ample opportunity to develop new approaches and technologies that allow communities to optimize their infrastructure in terms of water management and an array of other ecosystem services. Thus, despite the current and future challenges of climate change, opportunities exist to develop the next generation of stormwater management systems that serve as multifunctional community assets.

3 wurden jdische Mitbrger durch ihre Religionszuge hrigkeit definiert, die Nazis nderten dies mit den sog."Nrnberger Gesetzen" im Jahr

O ensaio foi realizado na estação experimental TechField, localizada no município de Botucatu/SP, com a finalidade de avaliar a eficácia de controle das espécies Cyperus rotundus e Cyperus esculentus, em aplicações em pré-emergente do herbicida Falcon (piroxasulfona+flumioxazina). As espécies avaliadas foram plantadas em vasos contendo 20 litros de solo, mantendo-se 10 tubérculos por vaso de ambas as espécies. Utilizou-se o delineamento experimental inteiramente casualizados com cinco tratamentos e sete repetições, sendo assim distribuídos: 1) Testemunha sem aplicação; 2) Falcon – 0,25 L p.c. ha-1; 3) Falcon – 0,5 L p.c. ha-1; 4) Falcon - 1,0 L p.c. ha-1 e 5) Falcon – 2,0 L p.c. ha-1. A aplicação dos tratamentos, ocorreu no dia 17/04/2021, com auxílio de um pulverizador costal pressurizado com CO2, munido de barra composta por duas pontas AVI 110.02, espaçadas em 0,5 m entre si, a uma pressão de 2,0 kgf cm-2, proporcionando um consumo de calda equivalente a 200 L ha-1. As avaliações de eficácia de controle foram realizadas aos 14 dias após aplicação (DAA), 21DAA, 28DAA, 35DAA e 42DAA. Considerando as variáveis no desenvolvimento das plantas daninhas avaliadas, realizou-se a avaliação de número e peso dos tubérculos remanescentes, aos 100DAA, no dia 26/06/2021. De acordo com os resultados obtidos, as maiores porcentagens de controle foram observadas quando aplicado as três maiores doses do herbicida Falcon (0,5, 1,0 e 2,0 L p.c. ha-1), independente do período e espécies avaliadas. Nas avaliações de número e peso dos tubérculos remanescentes, pode se concluir que a menor dose do herbicida Falcon (0,25 L p.c. ha-1), juntamente com o tratamento testemunha, apresentaram valores muito superiores aos demais tratamentos testados, demostrando assim o efeito positivo do herbicida sobre as espécies avaliadas. Os melhores resultados de redução de número e peso de tubérculos foram observados quando aplicado as duas maiores doses do herbicida Falcon (1,0 e 2,0 L p.c. ha-1), independente da espécie de planta daninha avaliada.