A PREDICTION MODEL FOR SPOT LNG PRICES BASED ON MACHINE LEARNING ALGORITHMS TO REDUCE FLUCTUATION RISKS IN PURCHASING PRICES

A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices

The ongoing Russia–Ukraine conflict has exacerbated the global crisis of natural gas supply, particularly in Europe.During the winter season, major importers of liquefied natural gas (LNG), such as South Korea and Japan, were directly affected by fluctuating spot LNG prices.This study aimed to use machine learning (ML) to predict the Japan Korea

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Dairy product purchasing in households with and without children

Dairy products are considered a staple in the American diet due in part to their nutritious content and appealing flavor.Consumption patterns may differ among age segments influenced by preferences for fat content and taste in dairy.Furthermore, having children in their household may influence the amount, frequency, and type of dairy products that

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Implementation Of Firebase In The Development Of Android-Based Queue Reservation And Treatment Record Applications

The development of an Android-based reservation and medical record management app is key to improving customer experience and operational efficiency in the beauty salon industry.This study explores the Batteries use of Firebase, offering features like Authentication, Firestore, Cloud Messaging, and Cloud Functions, to create a reliable mobile solut

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Investigate the Effectiveness of Cognitive-Behavioral Program on Reducing the Aggression of Fathers Of ID Students

The purpose of this study was to investigate the effectiveness of cognitive-behavioral program training on decreasing the aggression of fathers of students Water Dispenser Lever with ID.The present study was a experimental study with pretest-post-test design with control group.The statistical population of this study was all fathers of the elementa

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