UNDERSTANDING INTERDEPENDENCY THROUGH COMPLEX INFORMATION SHARING

Understanding Interdependency Through Complex Information Sharing

The interactions between three or more random variables are often nontrivial, poorly understood and, yet, are paramount for future advances in fields such as network information theory, neuroscience and genetics.In this work, we analyze these interactions as different modes of information sharing.Towards this end, and in contrast to most of the lit

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Mitigating Risk of Failure by Expanding Family Entrepreneurship and Learning from International Franchising Experiences of Johnny Rockets: A Case Study in Pakistan

It is generally believed worldwide and backed by research too that startups face a high risk of failure and eight to nine out of ten ideas may not work (Hisrich, Peters, & Shepherd, 2009).However, many experts claim that the situation can turn vice versa for family entrepreneurship (or creative family businesses) and franchise ventures (Francorp, 2

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Hospital-level factors associated with death during pneumonia-associated hospitalization among adults-New York City, 2010-2014.

BackgroundIn New York City (NYC), pneumonia is a leading cause of death and most pneumonia deaths deva curl arc angel occur in hospitals.Whether the pneumonia death rate in NYC reflects reporting artifact or is associated with factors during pneumonia-associated hospitalization (PAH) is unknown.We aimed to identify hospital-level factors associated

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Transformer-Based Seq2Seq Model for Chord Progression Generation

Machine learning is widely used in various practical applications with deep learning models demonstrating advantages in handling huge data.Treating music as a special language and using deep learning models to accomplish melody recognition, music generation, and music analysis has proven feasible.In certain music-related deep learning research, rec

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Establishment of lactate-metabolism-related signature to predict prognosis and immunotherapy response in patients with colon adenocarcinoma

The outcome of colon adenocarcinoma (COAD) patients remains dismal, and lactate metabolism has been characterized to promote tumor development and immune evasion.Based on the above background, it is worthwhile to explore novel prognostic and therapeutic biomarkers for COAD patients from the aspect of lactate metabolism.Above all, 228 available lact

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