Case logs are foundational data in surgical education, yet cases are consistently under-reported. Logging behavior is driven by multiple human and systems factors, including time constraints, ease of case data retrieval, access to data-entry tools, and procedural code decision tools. We examined case logging trends at three mid-sized, general surgery training programs from September 2016-October 2020, January 2019-October 2020 and May 2019-October 2020, respectively. Across the programs we compared the number of cases logged per week when residents logged directly to ACGME versus via a resident education platform with machine learning-based case logging assistance tools. We examined case logging patterns across 4 consecutive phases: baseline default ACGME logging prior to platform access (P0 “Manual”), full platform logging assistance (P1 “Assisted”), partial platform assistance requiring manual data entry without data integrations (P2 “Notebook”), and resumed fully integrated platform with logging assistance (P3 “Resumed”).

Further provisions relating to the positions as PhD Research Fellows can be found in the Regulations Concerning Terms and Conditions of Employment for the post of Post-Doctoral Research Fellow, Research Fellow, Research Assistant and Resident. The successful applicant will conduct research in the project Ubiquitous Connectivity via Autonomous Airborne Networks (AirBonnet). This project comprises a set of key developments intended to develop the technology of unmanned aerial vehicles (UAVs) such as zeppelins, balloons, and multicopters that autonomously navigate through the airspace to provide data connectivity in those locations where it is absent or unsatisfactory. While households in developed countries receive skyrocketing data rates through optical fibers and smartphones step into the 5G era, roughly one half of the world's population cannot connect to the internet. Even beyond developing economies, bringing data connectivity to areas where it cannot currently reach would drastically benefit applications such as the internet-of-things, smart agriculture/forestry, wildfire suppression, search-and-rescue missions, paramedical interventions, and emergency response handling to name a few.

More than a third of transport and logistics executives believe that robotic process automation (RPA) will bring about the biggest change in their industry in the next decade. Almost a quarter (24%) expect that artificial intelligence (AI) will fundamentally change the transport and logistics sector. The survey of 100 transport and logistics executives for co-location company Digital Reality found that nine in 10 respondents (91%) are continually looking to increase their investment in their data infrastructure. More than a fifth (22%) are reserving between £10m and £50m of their budget for innovation and progression of data connectivity. Automation (70%), freight technology (60%) and real-time understanding of transport systems (58%) are the areas with the greatest potential to transform the industry, according to the survey.

Microsoft has agreed to license its patents for Internet-connected cars to Toyota, its first such deal with an automaker and a signal that it may be willing to partner with others. The tech giant, which announced the deal on Wednesday afternoon, holds a treasure trove of patents that include car operating systems, Wi-Fi, motion sensors, voice recognition, and navigation. Cars are increasingly morphing into computers with wheels, and Microsoft sees the same opportunity that a number of other tech companies do, including Intel, Google, Qualcomm, and NXP. "The connected car represents an enormous opportunity for the auto industry, and at the core it's a software challenge," Peggy Johnson, executive vice president of business development at Microsoft, said in a statement Wednesday. Microsoft's patents for connected cars--a broad term for vehicles with Internet connectivity--includes tools to store and transfer files, cybersecurity, and artificial intelligence.