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Mapping Hsp104 interactions using cross‐linking mass spectrometry
Published 2025-06-01“…Here, we explore how cross‐linking mass spectrometry (XL‐MS) can be used to interpret changes in conformation induced by ATP in Hsp104 and how a substrate may interact with Hsp104. …”
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Analysis of metabolomics and transcriptomics data to assess interactions in microalgal co-culture of Skeletonema marinoi and Prymnesium parvum.
Published 2025-01-01“…As a growth indicator, the photosynthetic potential, measured via fluorescence, suggested chemical interaction between S. marinoi and P. parvum. Using Liquid Chromatography-Mass Spectrometry (LC-MS) data, we identified 346 and 521 differentially produced features in the endo- and exometabolome of S. marinoi and P. parvum, respectively. …”
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Data-driven thermal safety threshold analysis of friction component based on macro-micro interaction model
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The Use of Solite Kids Interactive Learning Media to Improve Fiqh Learning Outcomes in Madrasah
Published 2025-06-01“…Data analysis included normality testing, homogeneity testing, and an independent sample t-test using SPSS software. …”
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Land use–transport interaction modeling: A review of the literature and future research directions
Published 2015-07-01“…The aim of this review paper is to provide comprehensive and up-to-date material for both researchers and practitioners interested in land-use-transport interaction (LUTI) modeling. The paper brings together some 60 years of published research on the subject. …”
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Impacts of Wild Pigs on Space Use and Movements of Wild Turkeys During Autumn and Winter
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Incorporating measures of data quality into plant-pollinator databases
Published 2025-05-01“…We present some examples of data quality schemas that have been used in the past and then adopted by the Pollinators of Apocynaceae Database and the Database of Pollinator Interactions (DoPI), and how the forthcoming USDA-NRCS PLANTS database has tackled this question. …”
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Estimating contrasting soil moisture-precipitation feedbacks across global landmass using data from the Soil Moisture Active Passive satellite mission
Published 2025-12-01“…Our methodology statistically measures the interaction between morning soil moisture and subsequent probability of precipitation using the Granger Causality approach, with global data from remotely sensed estimates of soil moisture from the Soil Moisture Active Passive (SMAP) and Advanced Microwave Scanning Radiometer 2 (AMSR2) instruments. …”
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Behavioural user segmentation of app users based on functionality interaction patterns
Published 2024-12-01“…This study deployed clustering models to handle a behavioural user-interaction dataset with a sparsity rate of 85%. The findings revealed that Density-Based Spatial Clustering of Applications with Noise that leveraged on One-hot Encoding and data representation learning via an autoencoder performed best, with a Silhouette score of 0.36. …”
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The interaction between land‐use change and fire regimes, directly and indirectly, affects the urban avian assemblages of Darwin, Australia
Published 2023-07-01“…By compiling two sets of spatial data, land‐use change, and fire history mapping, we were able to investigate their interaction and impact on the avian assemblages in the Darwin urban area. …”
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A big data framework for short-term power load forecasting using heterogenous data
Published 2022-12-01“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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Use of Semantic Assets on Logistics and Agricultural Topics in the Informatization of Transport Corridors
Published 2024-03-01“…Information exchange for interaction with a set of enterprises working in the same subject area involves the provision of a set of standards that define the procedure for information interaction with government bodies, suppliers, and contractors. …”
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Interactive Effect of Education Indicators and Income Distribution in Selected Countries of the Islamic Conference Organization
Published 2021-03-01“…For this purpose, the model is estimated in the framework of the panel data system using unit root tests, F-Limer, Hausman, Voldridge and Chi-square statistics. …”
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