Criminal History Enhancements Sourcebook

Criminal history scores make up one of the two most significant determinants of the punishment an offender receives in a sentencing guidelines jurisdiction. While prior convictions are taken into account by all U.S. sentencing systems, sentencing guidelines make the role of prior crimes more explicit by specifying the counting rules and by indicating the effect of prior convictions on sentence severity. Yet, once established, criminal history scoring formulas go largely unexamined. Moreover, there is great diversity across state and federal jurisdictions in the ways that an offender's criminal record is considered by courts at sentencing. This Sourcebook brings together for the first time information on criminal history enhancements in all existing U.S. sentencing guidelines systems. Building on this base, the Sourcebook examines major variations in the approaches taken by these systems, and identifies the underlying sentencing policy issues raised by such enhancements.The Sourcebook contains the following elements:A summary of criminal history enhancements in all guidelines jurisdictions;An analysis of the critical dimensions of an offender's previous convictions;A discussion of the policy options available to commissions considering amendments to their criminal history enhancements;A bibliography of key readings on the role of prior convictions at sentencing

Challenges in Developing Applications for Aging Populations

Elderly individuals can greatly benefit from the use of computer applications, which can assist in monitoring health conditions, staying in contact with friends and family, and even learning new things. However, developing accessible applications for an elderly user can be a daunting task for developers. Since the advent of the personal computer, the benefits and challenges of developing applications for older adults have been a hot topic of discussion. In this chapter, the authors discuss the various challenges developers who wish to create applications for the elderly computer user face, including age-related impairments, generational differences in computer use, and the hardware constraints mobile devices pose for application developers. Although these challenges are concerning, each can be overcome after being properly identified

Smart aging : utilisation of machine learning and the Internet of Things for independent living

Smart aging utilises innovative approaches and technology to improve older adults’ quality of life, increasing their prospects of living independently. One of the major concerns the older adults to live independently is “serious fall”, as almost a third of people aged over 65 having a fall each year. Dementia, affecting nearly 9% of the same age group, poses another significant issue that needs to be identified as early as possible. Existing fall detection systems from the wearable sensors generate many false alarms; hence, a more accurate and secure system is necessary. Furthermore, there is a considerable gap to identify the onset of cognitive impairment using remote monitoring for self-assisted seniors living in their residences. Applying biometric security improves older adults’ confidence in using IoT and makes it easier for them to benefit from smart aging. Several publicly available datasets are pre-processed to extract distinctive features to address fall detection shortcomings, identify the onset of dementia system, and enable biometric security to wearable sensors. These key features are used with novel machine learning algorithms to train models for the fall detection system, identifying the onset of dementia system, and biometric authentication system. Applying a quantitative approach, these models are tested and analysed from the test dataset. The fall detection approach proposed in this work, in multimodal mode, can achieve an accuracy of 99% to detect a fall. Additionally, using 13 selected features, a system for detecting early signs of dementia is developed. This system has achieved an accuracy rate of 93% to identify a cognitive decline in the older adult, using only some selected aspects of their daily activities. Furthermore, the ML-based biometric authentication system uses physiological signals, such as ECG and Photoplethysmogram, in a fusion mode to identify and authenticate a person, resulting in enhancement of their privacy and security in a smart aging environment. The benefits offered by the fall detection system, early detection and identifying the signs of dementia, and the biometric authentication system, can improve the quality of life for the seniors who prefer to live independently or by themselves

More than a feeling: A unified view of stress measurement for population science.

Stress can influence health throughout the lifespan, yet there is little agreement about what types and aspects of stress matter most for human health and disease. This is in part because "stress" is not a monolithic concept but rather, an emergent process that involves interactions between individual and environmental factors, historical and current events, allostatic states, and psychological and physiological reactivity. Many of these processes alone have been labeled as "stress." Stress science would be further advanced if researchers adopted a common conceptual model that incorporates epidemiological, affective, and psychophysiological perspectives, with more precise language for describing stress measures. We articulate an integrative working model, highlighting how stressor exposures across the life course influence habitual responding and stress reactivity, and how health behaviors interact with stress. We offer a Stress Typology articulating timescales for stress measurement - acute, event-based, daily, and chronic - and more precise language for dimensions of stress measurement

Use of Standardized Patient Encounters as Predictors of Fieldwork Performance: A Pilot Study

Background: Although standardized patient encounters (SPEs) are being used in occupational therapy (OT) education, limited literature exists on the value these experiences have on OT student learning outcomes and preparation for fieldwork. This study sought to examine if SPEs had the potential to predict Level II A fieldwork performance. Method: This study used a retrospective analysis of 35 entry-level OT students. Independent variables included demographics (enrollment in an entry-level OT master\u27s or doctoral degree, age, and overall grade point average) and SPE performance. The fieldwork Level II A final performance evaluation score was used as the dependent variable. Hierarchical regression analysis was used with demographic variables as the first model to compare the addition of SPEs in predicting Level II A fieldwork performance scores. Results: The full model of demographics and SPE was statistically significant and accounted for 29% of the variance in the fieldwork Level II A performance scores (p = .031). SPEs accounted for an additional statistically significant amount of variance (17%), above and beyond demographic variables (p = .012). Discussion: These results indicate the potential value of SPEs in identifying students requiring additional preparation before embarking on clinical practice in their Level II A fieldwork

Eye quietness and quiet eye in expert and novice golf performance: an electrooculographic analysis

Quiet eye (QE) is the final ocular fixation on the target of an action (e.g., the ball in golf putting). Camerabased eye-tracking studies have consistently found longer QE durations in experts than novices; however, mechanisms underlying QE are not known. To offer a new perspective we examined the feasibility of measuring the QE using electrooculography (EOG) and developed an index to assess ocular activity across time: eye quietness (EQ). Ten expert and ten novice golfers putted 60 balls to a 2.4 m distant hole. Horizontal EOG (2ms resolution) was recorded from two electrodes placed on the outer sides of the eyes. QE duration was measured using a EOG voltage threshold and comprised the sum of the pre-movement and post-movement initiation components. EQ was computed as the standard deviation of the EOG in 0.5 s bins from –4 to +2 s, relative to backswing initiation: lower values indicate less movement of the eyes, hence greater quietness. Finally, we measured club-ball address and swing durations. T-tests showed that total QE did not differ between groups (p = .31); however, experts had marginally shorter pre-movement QE (p = .08) and longer post-movement QE (p < .001) than novices. A group × time ANOVA revealed that experts had less EQ before backswing initiation and greater EQ after backswing initiation (p = .002). QE durations were inversely correlated with EQ from –1.5 to 1 s (rs = –.48 - –.90, ps = .03 - .001). Experts had longer swing durations than novices (p = .01) and, importantly, swing durations correlated positively with post-movement QE (r = .52, p = .02) and negatively with EQ from 0.5 to 1s (r = –.63, p = .003). This study demonstrates the feasibility of measuring ocular activity using EOG and validates EQ as an index of ocular activity. Its findings challenge the dominant perspective on QE and provide new evidence that expert-novice differences in ocular activity may reflect differences in the kinematics of how experts and novices execute skills

Informal Caregivers’ Experience During Acute Exacerbation of COPD in Older Adults: A Dissertation

Chronic obstructive pulmonary disease (COPD) has been recognized as a leading cause of mortality in older adults involving acute exacerbations as life-threatening events that lead to frequent hospitalization for care. Informal caregivers have been essential to helping older adults with COPD during an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). A lack of empirical knowledge exists regarding the experience of informal caregivers of older adults with AECOPD in situation awareness for recognizing, understanding, and responding to an AECOPD in an emergent situation. This qualitative descriptive study explored situation awareness and its components of perception, comprehension and projection of next steps, including the caregiver’s confidence level during the AECOPD event. Fifteen informal caregivers, ages 31-77 years (mean age 48), who provided care for older adults with COPD were interviewed from an underserved community health center. The overarching theme derived from this study was something was wrong and something needed to be done. Subthemes emerged as a heightened sense of awareness, caregiver tipping point, planning next steps, caregiver confidence, and caregiver commitment. This study utilized situation awareness theory as a relevant guiding framework in exploring the experience of lay informal caregivers caring for older adults with AECOPD events. Study findings provided a description of the complex processes involved, including confidence level, for informal caregiver’s in situation awareness to recognize and respond to an AECOPD event in the older adult. Future targeted interventions need to address strategies to enhance individualized care for older adults with AECOPD events for managing care at home

The International Classification of Functioning, Disability and Health as a conceptual framework for the design, development and evaluation of AAL Services for older adults

Abstract. The paper presents the International Classification of Functioning, Disability and Health (ICF) as a comprehensive model for a holistic approach for the design, development and evaluation of Ambient Assisted Living (AAL) services for older adults. ICF can be used to systemize the information that influence individual's performance and to characterize users, theirs contexts, activities and participation. Furthermore, ICF can be used to structure a semantic characterization of AAL services and as a basis to develop methodological instruments for the services evaluation

Driving Decisions: Distinguishing Evaluations, Providers and Outcomes

Driving is a highly valued instrumental activity of daily living on which many older adults depend for access to their community. The demand to address driving is changing as older adults experience increasing longevity while facing medical conditions that often affect their fitness to drive. As one of the most complex of daily tasks, driving is a multifaceted issue that involves the older driver, family members, state licensing and health care practitioners. This commentary discusses potential options and strategies for making evidence-based fitness to drive decisions by differentiating between driving skills and driving capacities, and how these differences are manifested on the road. Typical service options are described using an algorithm format that suggests decision points with options and referrals for service based on the individual’s experiences and/or needs