Chronic fatigue syndrome is a common chronic health condition, especially for women, occurring across ethnic groups. Earlier findings suggesting that CFS is a syndrome primarily affecting white, middle-class patients were not supported by our findings.

Reconfigurable computing will change the way computing systems are designed, built, and used. PipeRench, a new reconfigurable fabric, combines the flexibility of general-purpose processors with the efficiency of customized hardware to achieve extreme performance speedup.

Fatigue is a dominant feature of both acute and convalescent COVID-19 (sometimes termed ‘long-COVID’), with up to 46% of patients reporting fatigue lasting weeks to months. The investigators of the international Collaborative on Fatigue Following Infection (COFFI) conducted a systematic review of post-COVID fatigue, a narrative review on fatigue after other infections and made recommendations for clinical and research approaches to assessment of fatigue following COVID-19. In the majority of COVID-19 cohort studies, persistent fatigue was reported by a significant minority of patients, ranging from 13-33% at 16-20 weeks post symptom onset. Data from the prospective cohort studies in COFFI and others, indicate that fatigue is also a prevalent outcome from many acute systemic infections notably infectious mononucleosis, with a case rate for clinically-significant post-infective fatigue after exclusion of recognized medical and psychiatric causes, of 10-35% at 6 months. To better characterize post-COVID fatigue, the COFFI investigators recommend: application of validated screening questionnaires for case detection, standardized interviews encompassing fatigue, mood, and other symptoms, and investigative approaches to identify end-organ damage and mental health conditions.

Future computing workloads will emphasize an architecture's ability to perform relatively simple calculations on massive quantities of mixed-width data. This paper describes a novel reconfigurable fabric architecture, PipeRench, optimized to accelerate these types of computations. PipeRench enables fast, robust compilers, supports forward compatibility, and virtualizes configurations, thus removing the fixed size constraint present in other fabrics. For the first time we explore how the bit-width of processing elements affects performance and show how the PipeRench architecture has been optimized to balance the needs of the compiler against the realities of silicon. Finally, we demonstrate extreme performance speedup on certain computing kernels (up to 190x versus a modern RISC processor), and analyze how this acceleration translates to application speedup.

Background-Chronic fatigue syndrome (CFS) is a complex and controversial condition responsible for marked functional impairment. Infectious mononucleosis (IM) may be a predisposing factor for CFS. Among adults after IM, 9-12% may have symptomatic fatigue 6 months later. Rates of CFS in the general adolescent population are low (0.2%).

Chronic fatigue syndrome (CFS) is an important condition confronting patients, clinicians, and researchers. This article provides information concerning the need for appropriate diagnosis of CFS subtypes. We first review findings suggesting that CFS is best conceptualized as a separate diagnostic entity rather than as part of a unitary model of functional somatic distress. Next, research involving the case definitions of CFS is reviewed. Findings suggest that whether a broad or more conservative case definition is employed, and whether clinic or community samples are recruited, these decisions will have a major influence in the types of patients selected. Review of further findings suggests that subtyping individuals with CFS on sociodemographic, functional disability, viral, immune, neuroendocrine, neurology, autonomic, and genetic biomarkers can provide clarification for researchers and clinicians who encounter CFS' characteristically confusing heterogeneous symptom profiles. Treatment studies that incorporate subtypes might be particularly helpful in better understanding the pathophysiology of CFS. This review suggests that there is a need for greater diagnostic clarity, and this might be accomplished by subgroups that integrate multiple variables including those in cognitive, emotional, and biological domains.

Practitioners' preparation for, attitudes toward, and experience of the therapeutic relationship and use of self were explored using a survey study with a random sample of 1,000 American Occupational Therapy Association members. Participants reported a high value for the therapeutic relationship and use of self; most felt that they were inadequately trained and that the field lacks sufficient knowledge in these areas. Regardless of practitioners' age, gender, experience level, setting, treatment intensity, and client impairment, those who placed higher value on the use of self and had more training related to the therapeutic use of self were more likely to report interpersonal difficulties and feelings of positive regard for clients and were more likely to report concerns about clients. The findings suggest that more attention needs to be paid to the therapeutic relationship and to the therapeutic use of self in education and in research.

Findings revealed that both scales are appropriate and useful measures of fatigue-related symptomatology and disability within a general population of individuals with varying levels of fatigue. However, the Fatigue Severity Scale appears to represent a more accurate and comprehensive measure of fatigue-related severity, symptomatology, and functional disability for individuals with CFS-like symptomatology.