Information-Centric Networking (ICN) is a novel networking paradigm that attracts increasing research interests in recent years. In-network caching has been viewed as an attractive feature of ICN because it can reduce network traffic, alleviate server bottleneck, and reduce the user access latencies. Because of this, the network community has proposed many innetwork caching mechanisms that aim at optimizing various performance metrics such as cache hit ratio and cache hit distance. In this survey, we present a comprehensive overview of the recently proposed in-network caching mechanisms for ICN. For each caching mechanism, we describe it in detail, present examples to illustrate how it works, and analyze its possible benefits and drawbacks. We also compare some typical in-network caching mechanisms through extensive simulations and discuss the remaining research challenges.

Detection of small molecules or proteins of living cells provides an exceptional opportunity to study genetic variations and functions, cellular behaviors, and various diseases including cancer and microbial infections. Our aim in this review is to give an overview of selected research activities related to nucleic acid-based aptamer techniques that have been reported in the past two decades. Limitations of aptamers and possible approaches to overcome these limitations are also discussed.

Objective: The aim of this study was to validate a novel pictorial-based Longshi Scale for evaluating a patient’s disability by healthcare professionals and non-professionals. Design: Prospective study. Setting: Rehabilitation departments from a grade A, class 3 public hospital, a grade B, class 2 public hospital, and a private hospital and seven community rehabilitation centers. Subjects: A total of 618 patients and 251 patients with functional disabilities were recruited in a two-phase study, respectively. Main measures: Outcome measure: pictorial scale of activities of daily living (ADLs, Longshi Scale). Reference measure: Barthel Index. The Spearman correlation coefficient was used to analyze the validity of Longshi Scale against Barthel Index. Results: In phase 1 study, from March 2016 to August 2016, the results demonstrated that the Longshi Scale was both reliable and valid (intraclass correlation coefficient based on two-way random effect (ICC2,1) = 0.877–0.974 for intra-rater reliability; ICC2,1 = 0.928–0.979; κ = 0.679–1.000 for inter-rater reliability; intraclass correlation coefficient based on one-way random effect (ICC1,1) = 0.921–0.984 for test–retest reliability and Spearman correlation coefficient = 0.836–0.899). In the second phase, in March 2018, results further demonstrated that the Longshi Scale had good inter-rater and intra-rater reliability among healthcare professionals and non-professionals including therapists, interns, and personal care aids (ICC1,1 = 0.822–0.882 on Day 1; ICC1,1 = 0.842–0.899 on Day 7 for inter-rater reliability). In addition, the Longshi Scale decreased assessment time significantly, compared with the Barthel Index assessment ( P < 0.01). Conclusion: The Longshi Scale could potentially provide an efficient way for healthcare professionals and non-professionals who may have minimal training to assess the ADLs of functionally disabled patients.

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