Motivation for orthognathic treatment and anticipated satisfaction levels - a two-centre cross-national audit

PURPOSE: This audit investigated factors which motivate patients to seek orthognathic treatment, assessed how confident patients were that they would be satisfied with the outcome of treatment, and explored possible influencing factors. MATERIALS AND METHODS: Questionnaires were distributed to pre-surgical patients at two centres (United Kingdom and Switzerland); questions asked what patients wished to gain from orthognathic treatment and how confident they were that they would be satisfied with treatment outcome. Gender, age and location were recorded as demographic variables, and type of malocclusion was also recorded. RESULTS: A total of 202 questionnaires were returned (UK, n=149; Switzerland, n=53). Reported motivating factors focused on improvements in aesthetics (specified and unspecified) (UK vs. Switzerland: 91.3% vs. 83.0%), function (72.5% vs. 66.0%), psychosocial health (51.7% vs. 20.8%), speech (4.0% vs. 7.5%), alleviation of pain (5.4% vs. 17%) and normalization of breathing (1.3% vs. 7.5%). No significant relationships were observed relative to patient age, gender or malocclusion. The anticipated satisfaction levels were generally high (86.5% vs. 89.9%). CONCLUSION: Although the distribution of motivational factors varied between the two sites, it did not affect the anticipated satisfaction level. Patients were generally confident that they would be satisfied with their treatment outcome and that their reasons for seeking treatment would be addressed

Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories

Modern computing systems are embracing hybrid memory comprising of DRAM and non-volatile memory (NVM) to combine the best properties of both memory technologies, achieving low latency, high reliability, and high density. A prominent characteristic of DRAM-NVM hybrid memory is that it has NVM access latency much higher than DRAM access latency. We call this inter-memory asymmetry. We observe that parasitic components on a long bitline are a major source of high latency in both DRAM and NVM, and a significant factor contributing to high-voltage operations in NVM, which impact their reliability. We propose an architectural change, where each long bitline in DRAM and NVM is split into two segments by an isolation transistor. One segment can be accessed with lower latency and operating voltage than the other. By introducing tiers, we enable non-uniform accesses within each memory type (which we call intra-memory asymmetry), leading to performance and reliability trade-offs in DRAM-NVM hybrid memory. We extend existing NVM-DRAM OS in three ways. First, we exploit both inter- and intra-memory asymmetries to allocate and migrate memory pages between the tiers in DRAM and NVM. Second, we improve the OS's page allocation decisions by predicting the access intensity of a newly-referenced memory page in a program and placing it to a matching tier during its initial allocation. This minimizes page migrations during program execution, lowering the performance overhead. Third, we propose a solution to migrate pages between the tiers of the same memory without transferring data over the memory channel, minimizing channel occupancy and improving performance. Our overall approach, which we call MNEME, to enable and exploit asymmetries in DRAM-NVM hybrid tiered memory improves both performance and reliability for both single-core and multi-programmed workloads.Comment: 15 pages, 29 figures, accepted at ACM SIGPLAN International Symposium on Memory Managemen

Different paths to the modern state in Europe: the interaction between domestic political economy and interstate competition

Theoretical work on state formation and capacity has focused mostly on early modern Europe and on the experience of western European states during this period. While a number of European states monopolized domestic tax collection and achieved gains in state capacity during the early modern era, for others revenues stagnated or even declined, and these variations motivated alternative hypotheses for determinants of fiscal and state capacity. In this study we test the basic hypotheses in the existing literature making use of the large date set we have compiled for all of the leading states across the continent. We find strong empirical support for two prevailing threads in the literature, arguing respectively that interstate wars and changes in economic structure towards an urbanized economy had positive fiscal impact. Regarding the main point of contention in the theoretical literature, whether it was representative or authoritarian political regimes that facilitated the gains in fiscal capacity, we do not find conclusive evidence that one performed better than the other. Instead, the empirical evidence we have gathered lends supports to the hypothesis that when under pressure of war, the fiscal performance of representative regimes was better in the more urbanized-commercial economies and the fiscal performance of authoritarian regimes was better in rural-agrarian economie

Grounds for engagement: Dissonances and overlaps at the intersection of contemporary civilizations analysis and postcolonial sociology

This article elucidates grounds for engagement between two fields of the social sciences engaged in critique of Eurocentrism: contemporary civilizations analysis and postcolonial sociology. Between the two fields there are both evident dissonances and points of potential dialogue and engagement. The article identifies three areas of high contention: divergent perceptions of essentialism, commitments to transformative politics and evaluations of the paradigm of multiple modernities. Despite extensive theoretical and normative differences, a notional intersection of the two fields is outlined in the form of three conceptual and methodological shifts. The first is a displacement of ideal typology. The second move is the most original. ‘Intercivilizational encounters’ and ‘intracivilizational encounters’ are re-cast as ‘intercivilizational engagement’. The goal is the demarcation of a discrete position based on a strong version of interaction that goes further than the notion of intercivilizational encounters recently re-developed in civilizational analysis. To illustrate potential grounds for engagement on this point, the article reviews the historiography of ‘connected histories’ and the insights of relational historians. Finally, the article urges for a nuanced definition of ‘region’ and deeper appreciation of the multiplicity of regionalisms as a meeting point for both fields of critique of Eurocentrism

Aging-Aware Request Scheduling for Non-Volatile Main Memory

Modern computing systems are embracing non-volatile memory (NVM) to implement high-capacity and low-cost main memory. Elevated operating voltages of NVM accelerate the aging of CMOS transistors in the peripheral circuitry of each memory bank. Aggressive device scaling increases power density and temperature, which further accelerates aging, challenging the reliable operation of NVM-based main memory. We propose HEBE, an architectural technique to mitigate the circuit aging-related problems of NVM-based main memory. HEBE is built on three contributions. First, we propose a new analytical model that can dynamically track the aging in the peripheral circuitry of each memory bank based on the bank's utilization. Second, we develop an intelligent memory request scheduler that exploits this aging model at run time to de-stress the peripheral circuitry of a memory bank only when its aging exceeds a critical threshold. Third, we introduce an isolation transistor to decouple parts of a peripheral circuit operating at different voltages, allowing the decoupled logic blocks to undergo long-latency de-stress operations independently and off the critical path of memory read and write accesses, improving performance. We evaluate HEBE with workloads from the SPEC CPU2017 Benchmark suite. Our results show that HEBE significantly improves both performance and lifetime of NVM-based main memory.Comment: To appear in ASP-DAC 202

Defect segmentation for multi-illumination quality control systems

Thanks to recent advancements in image processing and deep learning techniques, visual surface inspection in production lines has become an automated process as long as all the defects are visible in a single or a few images. However, it is often necessary to inspect parts under many different illumination conditions to capture all the defects. Training deep networks to perform this task requires large quantities of annotated data, which are rarely available and cumbersome to obtain. To alleviate this problem, we devised an original augmentation approach that, given a small image collection, generates rotated versions of the images while preserving illumination effects, something that random rotations cannot do. We introduce three real multi-illumination datasets, on which we demonstrate the effectiveness of our illumination preserving rotation approach. Training deep neural architectures with our approach delivers a performance increase of up to 51% in terms of AuPRC score over using standard rotations to perform data augmentation