A graph neural architecture search approach for identifying bots in social media.

Social media platforms, including X, Facebook, and Instagram, host millions of daily users, giving rise to bots automated programs disseminating misinformation and ideologies with tangible real-world consequences. While bot detection in platform X has been the area of many deep learning models with adequate results, most approaches neglect the graph structure of social media relationships and often rely on hand-engineered architectures. Our work introduces the implementation of a Neural Architecture Search (NAS) technique, namely Deep and Flexible Graph Neural Architecture Search (DFG-NAS), tailored to Relational Graph Convolutional Neural Networks (RGCNs) in the task of bot detection in platform X.

E-health in the new millennium: a research and practice agenda.

Advances in telecommunications, automated processes, web technologies and wireless computing are already forcing dramatic changes in a variety of sectors, ranging from business and industry to education and health. Yet, the electronic business space, in a broader sense, is still in a relatively early state of evolution, and it is only recently that policy makers have started looking at the potential of applying the tools and techniques of e-commerce to the tasks of other sectors. The use of the internet as a source of health information and connectivity between healthcare providers and consumers has increased interest in e-health.

Telemedicine technology and applications for home hemodialysis.

Home hemodialysis (HD) for the treatment of patients with end-stage renal disease (ESRD) was first put into practice about 30 years ago. In this paper we describe the application of telematics monitoring services (TMS) for supporting patients who need home or satellite HD (SHD). For the clinical trials two modified HD machines were located in the renal unit and a central control station (UNIX workstation with multimedia PC-terminal) was located in another room of the hospital.

Telematics Service for Home and Satellite Hemodialysis.

Home hemodialysis (HD) for the treatment of end-stage renal disease was first implemented about 30 years ago. In this paper the application of telematics monitoring services for supporting patients who need home HD or satellite HD is described. Two modified HD machines were located in two renal units, and a central control station (CCS, UNIX workstation with multimedia PC terminal) was located in another room of the hospital.

Results of clinical renal function tests in lithium patients.

Because there have been reports suggesting that patients who receive lithium are at risk for renal damage, the authors carried out extensive noninvasive testing of renal function in 43 patients who had been taking lithium for from 1 to 120 months. Their only abnormal finding was that the urine concentrating ability of these patients was moderately but asymptomatically impaired. They suggest that although patients receiving lithium should be carefully evaluated and tested, there is not enough evidence to justify not initiating or continuing lithium use in patients who might benefit from it.