Introduction

Introduction to the special issue on Africa: Literature and Politic

Introduction: Francophone and Lusophone Literatures in Africa

Introduction to the special issu

Understanding Soft Errors in Uncore Components

The effects of soft errors in processor cores have been widely studied. However, little has been published about soft errors in uncore components, such as memory subsystem and I/O controllers, of a System-on-a-Chip (SoC). In this work, we study how soft errors in uncore components affect system-level behaviors. We have created a new mixed-mode simulation platform that combines simulators at two different levels of abstraction, and achieves 20,000x speedup over RTL-only simulation. Using this platform, we present the first study of the system-level impact of soft errors inside various uncore components of a large-scale, multi-core SoC using the industrial-grade, open-source OpenSPARC T2 SoC design. Our results show that soft errors in uncore components can significantly impact system-level reliability. We also demonstrate that uncore soft errors can create major challenges for traditional system-level checkpoint recovery techniques. To overcome such recovery challenges, we present a new replay recovery technique for uncore components belonging to the memory subsystem. For the L2 cache controller and the DRAM controller components of OpenSPARC T2, our new technique reduces the probability that an application run fails to produce correct results due to soft errors by more than 100x with 3.32% and 6.09% chip-level area and power impact, respectively.Comment: to be published in Proceedings of the 52nd Annual Design Automation Conferenc

Training in the Management of Psychobehavioral Conditions: A Needs Assessment Survey of Emergency Medicine Residents

ObjectiveMental health–related ED visits are increasing. Despite this trend, most emergency medicine (EM) residency programs devote little time to psychiatry education. This study aimed to identify EM residents’ perceptions of training needs in emergency psychiatry and self‐confidence in managing patients with psychobehavioral conditions.MethodsA needs assessment survey was distributed to residents at 15 Accreditation Council for Graduate Medical Education–accredited EM programs spanning the U.S. Survey items addressed amount and type of training in psychiatry during residency, perceived training needs in psychiatry, and self‐confidence performing various clinical skills related to emergency psychiatric care. Residents used a 5‐point scale (1 = nothing; 5 = very large amount) to rate their learning needs in a variety of topic areas related to behavioral emergencies (e.g., medically clearing patients, substance use disorders). Using a scale from 0 to 100, residents rated their confidence in their ability to independently perform various clinical skills related to emergency psychiatric care (e.g., differentiating a psychiatric presentation from delirium).ResultsOf the 632 residents invited to participate, 396 (63%) responded. Twelve percent of respondents reported completing a psychiatry rotation during EM residency. One of the 15 participating programs had a required psychiatry rotation. Residents reported that their program used lectures (56%) and/or supervised training in the ED (35%) to teach residents about psychiatric emergencies. Most residents reported minimal involvement in the treatment of patients with psychiatric concerns. The majority of residents (59%) believed that their program should offer more education on managing psychiatric emergencies. Only 14% of residents felt “quite” or “extremely” prepared to treat psychiatric patients. Overall, residents reported the lowest levels of confidence and highest need for more training related to counseling suicidal patients and treating psychiatric issues in special populations (e.g., pregnant women, elderly, and children).ConclusionsMost EM residents desire more training in managing psychiatric emergencies than is currently provided.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152005/1/aet210377-sup-0001-DataSupplementS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152005/2/aet210377.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152005/3/aet210377_am.pd

Enabling Design and Simulation of Massive Parallel Nanoarchitectures

A common element in emerging nanotechnologies is the increasing complex- ity of the problems to face when attempting the design phase, because issues related to technology, specific application and architecture must be evalu- ated simultaneously. In several cases faced problems are known, but require a fresh re-think on the basis of different constraints not enforced by standard design tools. Among the emerging nanotechnologies, the two-dimensional structures based on nanowire arrays is promising in particular for massively parallel architec- tures. Several studies have been proposed on the exploration of the space of architectural solutions, but only a few derived high-level information from the results of an extended and reliable characterization of low-level structures. The tool we present is of aid in the design of circuits based on nanotech- nologies, here discussed in the specific case of nanowire arrays, as best candi- date for massively parallel architectures. It enables the designer to start from a standard High-level Description Languages (HDL), inherits constraints at physical level and applies them when organizing the physical implementation of the circuit elements and of their connections. It provides a complete simu- lation environment with two levels of refinement. One for DC analysis using a fast engine based on a simple switch level model. The other for obtaining transient performance based on automatic extraction of circuit parasitics, on detailed device (nanowire-FET) information derived by experiments or by existing accurate models, and on spice-level modeling of the nanoarray. Re- sults about the method used for the design and simulation of circuits based on nanowire-FET and nanoarray will be presente

Perception of Physician Empathy Varies With Educational Level and Gender of Patients Undergoing Low-Yield Computerized Tomographic Imaging

Objective: Lack of empathic communication between providers and patients may contribute to low value diagnostic testing in emergency care. Accordingly, we measured the perception of physician empathy and trust in patients undergoing low-value computed tomography (CT) in the emergency department (ED). Methods: Multicenter study of ED patients undergoing CT scanning, acknowledged by ordering physicians as unlikely to show an emergent condition. Near the end of their visit, patients completed the Jefferson Scale of Patient Perception of Physician Empathy (JSPPPE), Trust in Physicians Survey (TIPS), and the Group Based Medical Mistrust Scale (GBMMS). We stratified results by patient demographics including gender, race, and education. Results: We enrolled 305 participants across 9 sites with diverse geographic, racial, and ethnic representation. The median scores (interquartile ranges) for the JSPPPE, TIPS, and GBMMS for all patients were 29 (24-33.5), 55 (47-62), and 18 (12-29). Compared with white patients, nonwhite patients had similar JSPPPE and TIPS scores but had higher (worse) GBMMS scores. Females had significantly lower JSPPPE and TIPS scores than males, and scores were lower (worse) in females with college degrees. Patients in the lowest tier of educational status had the highest (better) JSPPPE and TIPS scores. Scores were invariant with physician characteristics. Conclusion: Among patients undergoing low-value CT scanning in the ED, the degree of patient perception of physician empathy and trust varied based on the patients’ level of education and gender. Given this variation, an intervention to increase patient perception of physician empathy should contain individualized strategies to address these subgroups, rather than a one-size-fits-all approach

Stressful conditions reveal decrease in size, modification of shape but relatively stable asymmetry in bumblebee wings

Human activities can generate a wide variety of direct and indirect effects on animals, which can manifest as environmental and genetic stressors. Several phenotypic markers have been proposed as indicators of these stressful conditions but have displayed contrasting results, depending, among others, on the phenotypic trait measured. Knowing the worldwide decline of multiple bumblebee species, it is important to understand these stressors and link them with the drivers of decline. We assessed the impact of several stressors (i.e. natural toxin-, parasite-, thermic- and inbreeding-stress) on both wing shape and size and their variability as well as their directional and fluctuating asymmetries. The total data set includes 650 individuals of Bombus terrestris (Hymenoptera: Apidae). Overall wing size and shape were affected by all the tested stressors. Except for the sinigrin (e.g. glucosinolate) stress, each stress implies a decrease of wing size. Size variance was affected by several stressors, contrary to shape variance that was affected by none of them. Although wing size directional and fluctuating asymmetries were significantly affected by sinigrin, parasites and high temperatures, neither directional nor fluctuating shape asymmetry was significantly affected by any tested stressor. Parasites and high temperatures led to the strongest phenotype modifications. Overall size and shape were the most sensitive morphological traits, which contrasts with the common view that fluctuating asymmetry is the major phenotypic marker of stress

Highly symmetric hypertopes

We study incidence geometries that are thin and residually connected. These geometries generalise abstract polytopes. In this generalised setting, guided by the ideas from the polytopes theory, we introduce the concept of chirality, a property of orderly asymmetry occurring frequently in nature as a natural phenomenon. The main result in this paper is that automorphism groups of regular and chiral thin residually connected geometries need to be C-groups in the regular case and C+-groups in the chiral case

Reliable Circuit Design with Nanowire Arrays

The emergence of different fabrication techniques of silicon nanowires (SiNWs) raises the question of finding a suitable architectural organization of circuits based on them. Despite the possibility of building conventional CMOS circuits with SiNWs, the ability to arrange them into regular arrays, called crossbars, offers the opportunity to achieve higher integration densities. In such arrays, molecular switches or phase-change materials are grafted at the crosspoints, i.e., the crossing nanowires, in order to perform computation or storage. Given the fact that the technology is not mature, a hybridization of CMOS circuits with nanowire arrays seems to be the most promising approach. This chapter addresses the impact of variability on the nanowires in circuit designs based on the hybrid CMOS-SiNW crossbar approach