Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Without internal work ( u = 0), convergence of automatic operations to controlled standards occurs only if the memory ...

Examining the Prospects and Barriers to Institutionalising Information Literacy as a Credit-Bearing Course for First-Year Students at Lira University: A Mixed-Methods Convergent Study ...

Abstract: Radio detection and ranging-based (radar) sensing offers unique opportunities for biomedical monitoring and can help overcome the limitations of currently established solutions. Due to its ...

Abstract: Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored ...

Abstract: This system paper presents the Topology ToolKit (TTK), a software platform designed for the topological analysis of scalar data in scientific visualization. While topological data analysis ...

I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, these ...

Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, People’s Republic of China Rehabilitation Medicine Department, NO.1 Orthopedics ...

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