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1. A Privacy Concern: Bioinformatics and Storing Biodata

   Ferguson, D'Nae (January 2021, The ADMI 2021 Symposium)

   null (Ed.)

   Security and privacy, regardless of the instance, are preponderating topics for most organizations. Bioinformatics and the study of computational biology are no exception. The premise of this report is to discuss the many different privacy concerns as it pertains to the field of bioinformatics, as well as the usage and storage of personal biodata. With the varying threats that target average users of technology, is the capability and infrastructure currently in place to protect users against a leakage or breach in personal data? This study discusses the different concerns surrounding the field of bioinformatics, how the data and personal information is currently stored, and will make recommendations on how to mitigate the risks associated with the usage and storage of personal biodata. This study includes interviews from bioinformaticians and industry professionals, a survey of adults who have the potential for impact, and current legislature that exists to address personal data protection. 

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2. Storing and Retrieving Secrets on a Blockchain

   https://doi.org/10.1007/978-3-030-97121-2_10  

   Goyal, Vipul; Kothapalli, Abhiram; Masserova, Elisaweta; Parno, Bryan; Song, Yifan (March 2022, IACR Conference on Practice and Theory of Public-Key Cryptography (PKC))
3. Storing, Retrieving, and Processing Updates: A Timeliness Perspective

   Ramani, Vishakha (October 2024, ProQuest)

   Time-critical applications, such as virtual reality and cyber-physical systems, require not only low end-to-end latency, but also the timely delivery of information. While high-speed Ethernet adoption has reduced interconnect fabric latency, bottlenecks persist in data storage, retrieval, and processing. This work examines status updating systems where sources generate time-stamped updates that are stored in memory, and readers fulfill client requests by accessing these stored updates. Clients then utilize the retrieved updates for further computations. The asynchronous interaction between writers and readers presents challenges, including: (i) the potential for readers to encounter stale updates due to temporal disparities between the writing and reading processes, (ii) the necessity to synchronize writers and readers to prevent race conditions, and (iii) the imperative for clients to process and deliver updates within strict temporal constraints. In the first part, we study optimal reading policies in both discrete and continuous time domains to minimize the Age of Information (AoI) of source updates at the client. One of the main contributions of this part includes showing that lazy reading is timely. In the second part, we analyze the impact of synchronization primitives on update timeliness in a packet forwarding scenario, where location updates are written to a shared routing table, and application updates read from it to ensure correct delivery. Our theoretical and experimental results show that using a lock-based primitive is suitable for timely application update delivery at higher location update rates, while a lock-free mechanism is more effective at lower rates. The final part focuses on optimizing update processing when updates require multiple sequential computational steps. We compare the age performance across a multitude of pipelined and parallel server models and characterize the age-power trade-off in these models. Additionally, our analysis reveals that synchronous sequential processing is more conducive to timely update processing than asynchronous methods, and that parallel processing outperforms pipeline services in terms of AoI. 

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4. Storing sunlight at low temperatures?

   https://doi.org/10.1016/j.joule.2021.08.012  

   Nguyen, Nghi P.; Moore, Gary F. (September 2021, Joule)
5. Interaction of memory systems is controlled by context in both food-storing and non-storing birds

   https://doi.org/10.3758/s13420-021-00496-z  

   Brown, Emily Kathryn; Strang, Caroline G.; Sherry, David F.; Hampton, Robert R. (January 2021, Learning & Behavior)