Results 71 to 80 of about 592,304 (291)

Addressing Google Trends inconsistencies

Technological Forecasting and Social Change
Google Trends reports the evolution of the popularity of internet searches. Its main output is the Search Volume Index (SVI), a relative measure of the popularity of a term computed using a sample of the searches. Due to the sampling, the SVI series are not entirely consistent, as the same query produces different results that can widely change from ...
Eduardo Cebrián, Josep Domenech
openaire   +3 more sources

Medizinische Forschung mit Google Trends und Google Shopping

, 2022
Mithilfe von Nowcasting-Tools wurde im öffentlichen Interesse die Verwendung von Online-Suchbegriffen im Zusammenhang mit medizinischer Versorgung vor-, innerhalb- und nach- der COVID-19-Pandemie im zeitlichen Trend untersucht. Ziel war es einen möglichen Zusammenhang zwischen dem Suchverhalten der Nutzer und epidemiologischen Trends bei bestimmten ...
openaire   +2 more sources

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

Tendências e interesses de pesquisas do público por museus, locais e edifícios históricos e festivais de música: A ferramenta Google Trends

Revista de Turismo Contemporâneo, 2016
Nos últimos anos os agentes de turismo têm manifestado necessidade de informação atualizada, pertinente e atempada que os auxilie no processo de tomada de decisão.
Maria Gorete Ferreira Dinis , Carlos Manuel Martins Costa, Osvaldo Manuel Rocha Pacheco   +2 more
doaj  

Applications of Google Trends as a Data Source for Statistical Models

Acta Universitatis Lodziensis. Folia Oeconomica
As technology advances, there is a growing number of potential data sources that can provide an alternative to traditional surveys. An example of this is the real time search popularity data made available through Google Trends.
Klaudia Lenart
doaj   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

The correlation between Google trends and salmonellosis

BMC Public Health, 2021
Background Salmonella infection (salmonellosis) is a common infectious disease leading to gastroenteritis, dehydration, uveitis, etc. Internet search is a new method to monitor the outbreak of infectious disease.
Ming-Yang Wang, Nai-jun Tang
doaj   +1 more source

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Google trends forecasting of youth employment

6th International Conference on Advanced Research Methods and Analytics - CARMA 2024
The forecasting field has been using the surge in big data and advanced computational capabilities. This article discusses the methodological issues of Google Trends (GT) data reliability and forecasting validity for youth unemployment forecasts. We demonstrate the problems with static GT forecasting procedures and show a 44% increase in forecasting ...
Fons Wijnhoven, Nathan De Bruijn, Robin Effing   +2 more
openaire   +2 more sources