R&D OF THE EM CALORIMETER ENERGY CALIBRATION WITH MACHINE LEARNING BASED ON THE LOW-LEVEL FEATURES OF THE CLUSTER

R&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster

We have developed an energy calibration method using machine learning for the ILC electromagnetic (EM) calorimeter Desks (ECAL), a sampling calorimeter consisting of Silicon-Tungsten layers.In this method, we use a deep neural network (DNN) for a regression to determine the energy of incident EM particles, improving the energy Busts calibration res

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PRIVATIZATION OF AGRICULTURE AFFECTED BY FOREIGNERS

The collapse of socialism changed the global picture of the world order and on international plan shifted most of the ex-communist countries of Europe towards Euro-Atlantic integration and membership in the European Union.The economic and social transition of most post-socialist states under the influence of Euro-Atlanticists and domestic pro-Weste

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Physics faculty beliefs and values about the teaching and learning of problem solving. II. Procedures for measurement and analysis

To identify and describe the basis upon which instructors make curricular Surcingle Sets and pedagogical decisions, we have developed an artifact-based interview and an analysis technique based on multilayered concept maps.The policy capturing technique used in the interview asks instructors to make judgments about concrete instructional artifacts

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Deformation Monitoring Based on SBAS-InSAR and Leveling Measurement: A Case Study of the Jing-Mi Diversion Canal in China

The Jing-Mi Diversion Canal is a large-scale water diversion project in Beijing.Routine monitoring is crucial for the reliability and stability of urban water supply.Compared with traditional monitoring methods, interferometric synthetic aperture radar (InSAR) has the advantages of large scale and high accuracy.Based on the small baseline subset In

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Antibacterial Activity of Sweet Orange (Citrus sinensis) Peel Tea against Enterobacteriaceae Isolated from a Water Depot

Most orange peels are not utilized and become useless waste that is thrown away.Orange peels contain many nutrients and compounds, such as flavonoids, terpenoids, alkaloids, and essential oils, which are secondary metabolites that act as antibacterial agents.This study intends to investigate the antibacterial activity of sweet orange peel tea again

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