Aging-Aware Design Methods for Reliable Analog Integrated Circuits using Operating Point-Dependent Degradation

The focus of this thesis is on the development and implementation of aging-aware design methods, which are suitable to satisfy current needs of analog circuit design. Based on the well known \gm/\ID sizing methodology, an innovative tool-assisted aging-aware design approach is proposed, which is able to estimate shifts in circuit characteristics using mostly hand calculation schemes. The developed concept of an operating point-dependent degradation leads to the definition of an aging-aware sensitivity, which is compared to currently available degradation simulation flows and proves to be efficient in the estimation of circuit degradation. Using the aging-aware sensitivity, several analog circuits are investigated and optimized towards higher reliability. Finally, results are presented for numerous target specifications

Dependable Embedded Systems

This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far. Unlike other books that focus on a single abstraction level such circuit level or system level alone, the focus of this book is to deal with the different reliability challenges across different levels starting from the physical level all the way to the system level (cross-layer approaches). The book aims at demonstrating how new hardware/software co-design solution can be proposed to ef-fectively mitigate reliability degradation such as transistor aging, processor variation, temperature effects, soft errors, etc. Provides readers with latest insights into novel, cross-layer methods and models with respect to dependability of embedded systems; Describes cross-layer approaches that can leverage reliability through techniques that are pro-actively designed with respect to techniques at other layers; Explains run-time adaptation and concepts/means of self-organization, in order to achieve error resiliency in complex, future many core systems

Control Charts to Enhance Quality

Control charts are important tools of statistical quality control to enhance quality. Quality improvement methods have been applied in the last few 10 years to fulfill the needs of consumers. The product has to retain the desired properties with the least possible defects, while maximizing profit. There are natural variations in production, but there are also assignable causes which do not form part of chance. Control charts are used to monitor production; in particular, their application may serve as an “early warning” index regarding potential “out-of-control” processes. In order to keep production under control, different control charts which are prepared for dissimilar cases are established incorporating upper and lower control limits. There are a number of control charts in use and are grouped mainly as control charts for variables and control charts for attributes. Points plotted on the charts may reveal certain patterns, which in turn allows the user to obtain specific information. Patterns showing deviations from normal behavior are raw material, machine setting or measuring method, human, and environmental factors, inadvertently affecting the quality of product. The information obtained from control charts assists the user to take corrective actions, hence opting for specified nominal values enhancing as such quality

Treating metaphor interpretation deficits subsequent to right hemisphere brain damage: Preliminary results

Aims: This investigation sought to determine whether a structured intervention focused on improving use of semantic associations could improve patients' ability to provide oral interpretations of metaphors following right hemisphere damage (RHD).Methods & Procedures: Principles of single participant experimental design provided the basis for the study. Five patients received either 10 or 20 baseline assessments of oral metaphor interpretation and, as a control, assessments of line orientation skill. They then received approximately 10 one-hour sessions of structured intervention to improve oral metaphor interpretation followed by post-training assessments and a 3-month follow up.Outcomes & Results: Patients' performances revealed evidence of good response to training as shown by patients' ability to reach criterion on all intervention tasks and by their significant improvement on oral metaphor interpretation. There was relatively little improvement on the line orientation task.Conclusions: The results of this study support the clinical usefulness of this new approach to treating communication deficits associated with RHD due to stroke, even years post-onset. There are, however, questions that remain unanswered. For example, additional data will be needed to gauge how a patient's severity of impairment relates to the potential for improvement, to chart the durability and scope of improvement associated with the training, and to determine the type of visuospatial ability needed for using this type of pictorial material

Cerebellar Motor Learning Deficits: Structural mapping, neuromodulation and training-related interventions

Movement allows us to interact with our direct environment, manipulate objects and communicate with each other. Moreover, we can adjust our movements to fit a remarkable range of situations and circumstances. The ability to adjust movements in response to changes in the environment and task demands is referred to as motor learning. The cerebellum is a key neural structure for motor learning. As such, disease of the cerebellum, in addition to the clinical symptom of ataxia, results in various motor learning deficits. There is a consensus that supportive therapy (e.g. physiotherapy, occupational therapy or speech therapy) can reduce ataxia symptoms of cerebellar patients, but little is known about the mechanisms underlying the improvements, and how patients can benefit most. Additionally, motor learning deficits are associated with reduced efficacy of supportive therapy. With the work described in this thesis, we sought to unravel the structural components of cerebellar disease and the relationship between cerebellar integrity and motor learning. Furthermore, we investigated whether motor learning deficits in cerebellar patients could be ameliorated with neuromodulation or training-related interventions, under experimental conditions, hoping to support the development of interventions relevant for application in a clinical setting

Advances in Clinical Neurophysiology

Including some of the newest advances in the field of neurophysiology, this book can be considered as one of the treasures that interested scientists would like to collect. It discusses many disciplines of clinical neurophysiology that are, currently, crucial in the practice as they explain methods and findings of techniques that help to improve diagnosis and to ensure better treatment. While trying to rely on evidence-based facts, this book presents some new ideas to be applied and tested in the clinical practice. Advances in Clinical Neurophysiology is important not only for the neurophysiologists but also for clinicians interested or working in wide range of specialties such as neurology, neurosurgery, intensive care units, pediatrics and so on. Generally, this book is written and designed to all those involved in, interpreting or requesting neurophysiologic tests

Theory of Mind Might Have Spontaneously Emerged in Large Language Models

We explore the intriguing possibility that theory of mind (ToM), or the uniquely human ability to impute unobservable mental states to others, might have spontaneously emerged in large language models (LLMs). We designed 40 false-belief tasks, considered a gold standard in testing ToM in humans, and administered them to several LLMs. Each task included a false-belief scenario, three closely matched true-belief controls, and the reversed versions of all four. Smaller and older models solved no tasks; GPT-3-davinci-001 (from May 2020) and GPT-3-davinci-002 (from January 2022) solved 10%; and GPT-3-davinci-003 (from November 2022) and ChatGPT-3.5-turbo (from March 2023) solved 35% of the tasks, mirroring the performance of three-year-old children. ChatGPT-4 (from June 2023) solved 90% of the tasks, matching the performance of seven-year-old children. These findings suggest the intriguing possibility that ToM, previously considered exclusive to humans, may have spontaneously emerged as a byproduct of LLMs' improving language skills.Comment: TRY RUNNING ToM EXPERIMENTS ON YOUR OWN: The code and tasks used in this study are available at Colab (https://colab.research.google.com/drive/1ZRtmw87CdA4xp24DNS_Ik_uA2ypaRnoU). Don't worry if you are not an expert coder, you should be able to run this code with no-to-minimum Python skills. Or copy-paste the tasks to ChatGPT's web interfac