Publications by authors named "Yaya Jia"

Article Synopsis
  • Solid sodium metal batteries (SSMBs) are a promising energy storage solution due to their high energy density and safety, but issues like sodium dendrite growth and weak electrolytes hinder their use.* -
  • Researchers have developed a composite polymer electrolyte (CPE) with liquid metal nanoparticles (LM) that can move within the solid electrolyte to help manage sodium ions and prevent dendrite formation.* -
  • The modified CPE shows excellent cyclic stability over 1800 hours and impressive energy density of 230 Wh/kg in the battery, suggesting LMs can significantly enhance the performance of SSMBs.*
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Unlabelled: Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn from the journal "Combinatorial Chemistry & High Throughput Screening". Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.

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Background: Human sarcomas (SARC) are a group of malignant tumors that originated from mesenchymal lineages with more than 60 subtypes. However, potential biomarkers for the diagnosis and prognosis of SARC remain to be investigated.

Methods: We obtained three GSE raw matrix files (GSE39262, GSE21122, GSE48418) that related to various subtypes of sarcoma from the public GEO database and explored the widely differential expression genes in three obtained GSE files.

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In the current design specification of building structure, the basic wind pressure and basic snow pressure are two independent values, and it is impossible to acquire both of these values when snow and wind occur at the same time. Taking parameters such as snowfall intensity, snowfall amount, wind speed, and wind direction as indicators, the value of the combined distribution of wind and snowfall in the Beijing-Tianjin-Hebei region of China was extracted. A joint distribution map of the daily average snowfall among the top-ten largest consecutive snowfall events and the daily average wind scale from the first day of snowfall to the fifth day after the snowfall were obtained.

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Background: New coronavirus disease 2019 (COVID-19) has posed a severe threat to human life and caused a global pandemic. The current research aimed to explore whether the search-engine query patterns could serve as a potential tool for monitoring the outbreak of COVID-19.

Methods: We collected the number of COVID-19 confirmed cases between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU).

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