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A real-world analysis of 1,823 hospitalized osteoporotic fractures in Northeast China
Published 2025-01-01Get full text
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Shifting the focus of world industrial development from European countries and North America to Asia
Published 2024-02-01Get full text
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On the Approximation of Generalized Lipschitz Function by Euler Means of Conjugate Series of Fourier Series
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European Baseline Series, Polish Baseline Series, Polish Standard… Why compositions of patch test series undergo revisions and how does it influence clinical practice?
Published 2024-08-01“…The authors conclude that changes in baseline series are unavoidable, because of changes in the external world and technological progress. …”
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A reproducible framework for monitoring the impact of randomized clinical trials on clinical practice using large-scale real-world data: application to gynaecological surgical tria...
Published 2025-02-01“…Leveraging large-scale real-world data can enable systematic monitoring of RCT effects. …”
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Publishing, bookselling and the World Wide Web
Published 1999-01-01“…Part of a continuing series into the business use of the World Wide Web. …”
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Hyperbolic Cross Truncations for Stochastic Fourier Cosine Series
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Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world compar...
Published 2022-06-01“…The primary cardiovascular outcomes include a composite of major adverse cardiovascular events and a series of safety outcomes. The study will pursue data-driven, large-scale propensity adjustment for measured confounding, a large set of negative control outcome experiments to address unmeasured and systematic bias.Ethics and dissemination The study ensures data safety through a federated analytic approach and follows research best practices, including prespecification and full disclosure of results. …”
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A multiscale model for multivariate time series forecasting
Published 2025-01-01“…Extensive experiments on seven real world datasets indicate that our model (MultiPatchFormer) achieves state-of-the-art results by surpassing other current baseline models in terms of error metrics and shows stronger generalizability.…”
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PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting
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Application of Neural Networks in Financial Time Series Forecasting Models
Published 2022-01-01“…Therefore, this paper integrates the support vector machine with the established model by establishing a convolutional neural network model and applies the prediction model to the prediction of financial time series data. The experimental results show that the model proposed in this paper can more accurately predict the trend of the stock index.…”
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The Effects of the Reverse Current Caused by the Series Compensation on the Current Differential Protection
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Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line
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The Critical Analysis of Cultural Values in American English File Textbook Series
Published 2018-11-01“…Moreover, results revealed that these instructional materials are filled with cultural values unique to the Western world, the most prevalent of which include girlfriend-boyfriend relationship, consumerism, lack of studying, Western music, artifacts, lack of trust between the couples, rate of divorce and break-up, and inculcation of Western culture. …”
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Business use of the World Wide Web: a report on further investigations
Published 1998-01-01“…As a continuation of a previous study this paper reports on a series of studies into business use of the World Wide Web and, more generally the Internet. …”
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A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique
Published 2014-01-01“…This model has two contributions: (1) it is more accurate than other conventional and hybrid approaches and (2) it determines the similarity in shape among time series data with a low complexity. To evaluate the accuracy of the proposed model, the model is tested extensively using syntactic and real-world time series datasets.…”
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TXtreme: transformer-based extreme value prediction framework for time series forecasting
Published 2025-01-01“…Abstract Time Series Forecasting (TSF) is crucial in various real-world applications such as climate forecasting and electricity demand prediction. …”
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