General Dental Practitioners’ Concept towards Using Radiography and Apex-Locators in Endodontics

Introduction:Despite being the gold standard as well as a routine technique in endodontics, radiographic working length (WL) determination owns many drawbacks. Electronic apex-locators (EALs) are recommended to complement radiographies. The aim of this study was to evaluate the perceptions of Iranian general dental practitioners (GDPs) towards using radiography and EAL. Methods and Materials: Three hundred and ninety one GDPs attending the 53th Iranian Dental Association Congress completed a questionnaire focusing on the use of radiography and EALs during the various stages of root canal treatment. The data was analyzed with the chi-square test with the level of significance set at 0.05. The results were then calculated as frequencies and percentages. Results: More than half of the GDPs reported using radiographs as the sole method for WL determination. A total of 30.4% of the practitioners were using the combined approach during root canal therapy of a single-rooted tooth, while 38.9% used this method in multi-rooted teeth. Approximately half of the respondents would not order follow-up radiographies after root canal treatment. Conclusion: Radiography continues to be the most common method for WL determination in Iran

Organizing Records for Retrieval in Multi-Dimensional Range Searchable Encryption

Storage of sensitive multi-dimensional arrays must be secure and efficient in storage and processing time. Searchable encryption allows one to trade between security and efficiency. Searchable encryption design focuses on building indexes, overlooking the crucial aspect of record retrieval. Gui et al. (PoPETS 2023) showed that understanding the security and efficiency of record retrieval is critical to understand the overall system. A common technique for improving security is partitioning data tuples into parts. When a tuple is requested, the entire relevant part is retrieved, hiding the tuple of interest. This work assesses tuple partitioning strategies in the dense data setting, considering parts that are random, $1$-dimensional, and multi-dimensional. We consider synthetic datasets of $2$, $3$ and $4$ dimensions, with sizes extending up to $2$M tuples. We compare security and efficiency across a variety of record retrieval methods. Our findings are: 1. For most configurations, multi-dimensional partitioning yields better efficiency and less leakage. 2. 1-dimensional partitioning outperforms multi-dimensional partitioning when the first (indexed) dimension is any size as long as the query is large in all other dimensions except the (the first dimension can be any size). 3. The leakage of 1-dimensional partitioning is reduced the most when using a bucketed ORAM (Demertiz et al., USENIX Security 2020)

Prototypes as Objects of Study

Curatorial note from Digital Pedagogy in the Humanities: For many disciplines, the object of study does not yet exist—it is a possible future. In this assignment, students are asked to design a set of research tools consisting of a prototype, pilot study, experimental design, and quasi-experimental design (which mines existing data for factors that would have been controlled had the researcher set up the original study). The different approaches can be compared in terms of the resources required and the kind of knowledge that can be gained. For use in a course, it may be helpful to plan a series of classes where each of the research tools is discussed in turn, with examples from the literature. The students can then describe ways in which their own research could be supported with each approach, resulting in a report that describes how those research tools would be created and deployed in each case