Standards Research Data

Short-range association fibers located in the superficial white matter play an important role in mediating higher-order cognitive function in humans. Detailed morphological characterization of short-range association fibers at the microscopic level promises to yield important insights into the axonal features driving cortico-cortical connectivity in the human brain yet has been difficult to achieve to date due to the challenges of imaging at nanometer-scale resolution over large tissue volumes.

This dataset provides detailed information and customer reviews for restaurants listed on Zomato in Bangalore, with a focus on The Nest - The Den Bengaluru, located on ITPL Main Road, Whitefield. It includes key attributes such as location, contact details, rating, cuisines offered, average cost, and detailed user-generated reviews. The dataset is ideal for sentiment analysis, customer feedback mining, restaurant recommendation systems, and hospitality service quality studies.

This dataset proposes a new energy vehicle procurement decision-making framework that integrates data mining and social network group decision-making in an intuitive fuzzy environment. We use web crawler technology and social media public opinion analysis to capture and analyze text information about the performance of NEVs. 87,673 online blog posts about NEVs from December 1 to 31, 2024, were crawled from the API provided by the Sina Weibo Open Platform (https://weibo.com).

Data centers are increasingly adopting renewable energy sources to mitigate environmental impact and reduce operational costs. However, effectively optimizing energy costs remains challenging due to unpredictable workloads and fluctuating renewable energy availability. This paper introduces LOECM, a Lyapunov-driven online scheduling algorithm designed to minimize energy cost without relying on future information.