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The purpose of this chapter is to discuss cell phones in the classroom before and after the pandemic. The author discusses the problematic history of cell phones in the classroom, and how teachers have struggled and fought against them, many times outright banning cell phones. Instead of this approach, the case is made for the need for students to learn how to use them, and why they are so useful in the classroom for both formative assessment and feedback. Next, this chapter discusses how the author leveraged cell phones during the period of crisis instruction at the end of the 2019-2020 school year. The author was able to launch and successfully complete a unit that combined social justice themes, graphic novels, and podcasting – all of which utilizing cell phones. Finally, specific tools, resources, and strategies are shared and discussed that were used during this time, with recommendations for the future of education no matter how it may look.

Sport-related spine injury can be devastating and have long-lasting effects on athletes and their families. Providing evidence-based care for patients with spine injury is essential for optimizing postinjury outcomes. When caring for an injured athlete in American tackle football, clinicians must make decisions that involve unique challenges related to protective equipment (eg, helmet and shoulder pads). The Spine Injury in Sport Group (SISG) met in Atlanta, Georgia, March 2–3, 2019, and involved 25 health care professionals with expertise in emergency medicine, sports medicine, neurologic surgery, orthopaedic surgery, neurology, physiatry, athletic training, and research to review the current literature and discuss evidence-based medicine, best practices, and care options available for the prehospital treatment of athletes with suspected cervical spine injuries.1,2 That meeting and the subsequent Mills et al publication delineate the quality and quantity of published evidence regarding many aspects of prehospital care for the athlete with a suspected cervical spine injury. This paper offers a practical treatment guide based on the experience of those who attended the Atlanta meeting as well as the evidence presented in the Mills et al article. Ongoing research will help to further advance clinical treatment recommendations.

Introduction Sports participation is among the leading causes of catastrophic cervical spine injury (CSI) in the United States. Appropriate prehospital care for athletes with suspected CSIs should be available at all levels of sport. The goal of this project was to develop a set of best-practice recommendations appropriate for athletic trainers, emergency responders, sports medicine and emergency physicians, and others engaged in caring for athletes with suspected CSIs. Methods A consensus-driven approach (RAND/UCLA method) in combination with a systematic review of the available literature was used to identify key research questions and develop conclusions and recommendations on the prehospital care of the spine-injured athlete. A diverse panel of experts, including members of the National Athletic Trainers' Association, the National Collegiate Athletic Association, and the Sports Institute at UW Medicine participated in 4 Delphi rounds and a 2-day nominal group technique meeting. The systematic review involved 2 independent reviewers and 4 rounds of blinded review. Results The Delphi process identified 8 key questions to be answered by the systematic review. The systematic review comprised 1544 studies, 49 of which were included in the final full-text review. Using the results of the systematic review as a shared evidence base, the nominal group technique meeting created and refined conclusions and recommendations until consensus was achieved. Conclusions These conclusions and recommendations represent a pragmatic approach, balancing expert experiences and the available scientific evidence.

Demand for high performance deep learning (DL) inference in software applications is growing rapidly. DL workloads run on myriad platforms, including general purpose processors (CPU), system-on-chip (SoC) with accelerators, graphics processing units (GPU), and neural processing unit (NPU) addin cards. DL software engineers typically must choose between relatively slow general hardware (e.g., CPUs, SoCs) or relatively expensive, large, power-hungry hardware (e.g., GPUs, NPUs). This paper describes Centaur Technology’s Ncore, the industry’s first high-performance DL coprocessor technology integrated into an x86 SoC with server-class CPUs. Ncore’s 4096 byte-wide SIMD architecture supports INT8, UINT8, INT16, and BF16 datatypes, with 20 tera-operations-per-second compute capability. Ncore shares the SoC ring bus for low-latency communication and work sharing with eight 64-bit x86 cores, offering flexible support for new and evolving models. The x86 SoC platform can further scale out performance via multiple sockets, systems, or third-party PCIe accelerators. Ncore’s software stack automatically converts quantized models for Ncore consumption and leverages existing DL frameworks. In MLPerf’s Inference v0.5 closed division benchmarks, Ncore achieves 1218 IPS throughput and 1.05ms latency on ResNet-50v1.5 and achieves lowest latency of all Mobilenet-V1 submissions $(329 \mu \mathrm{s})$. Ncore yields 23x speedup over other x86 vendor percore throughput, while freeing its own x86 cores for other work. Ncore is the only integrated solution among the memory intensive neural machine translation (NMT) submissions.