National Estimates of Missing Children: An Overview.

Presents an overview of the second National Incidence Studies of Missing, Abducted, Runaway, and Thrownaway Children (NISMART-2). First in a series summarizing NISMART-2 findings, this Bulletin describes NISMART component surveys and estimating methodology and defines the types of missing child episodes studied: nonfamily abduction (including stereotypical kidnapping); family abduction; runaway/thrownaway; missing involuntary, lost, or injured; and missing benign explanation. The Bulletin also presents national estimates for children classified as caretaker missing and those reported missing to law enforcement or other agencies, by type of episode and by child\u27s age, gender, and race/ethnicity. The authors note that only a small proportion of all missing children are victims of stereotypical kidnappings

National Estimates of Children Missing Involuntarily or for Benign Reasons.

Provides information on the numbers and characteristics of two groups not often recognized in the literature on missing children: children involuntarily missing because they were lost or injured and those missing because of a benign explanation such as a miscommunication or mistaken expectation. The data are from two surveys conducted in 1999 as part of the Second National Incidence Studies of Missing, Abducted, Runaway, and Thrownaway Children (NISMART–2). Children missing from their caretakers in circumstances with benign explanations constituted 43 percent of all missing children reported to authorities—the second largest category after those classified as runaway/thrownaway. The authors discuss the policy implications raised by these data

Requirements traceability in model-driven development: Applying model and transformation conformance

The variety of design artifacts (models) produced in a model-driven design process results in an intricate relationship between requirements and the various models. This paper proposes a methodological framework that simplifies management of this relationship, which helps in assessing the quality of models, realizations and transformation specifications. Our framework is a basis for understanding requirements traceability in model-driven development, as well as for the design of tools that support requirements traceability in model-driven development processes. We propose a notion of conformance between application models which reduces the effort needed for assessment activities. We discuss how this notion of conformance can be integrated with model transformations

To boldly go:an occam-π mission to engineer emergence

Future systems will be too complex to design and implement explicitly. Instead, we will have to learn to engineer complex behaviours indirectly: through the discovery and application of local rules of behaviour, applied to simple process components, from which desired behaviours predictably emerge through dynamic interactions between massive numbers of instances. This paper describes a process-oriented architecture for fine-grained concurrent systems that enables experiments with such indirect engineering. Examples are presented showing the differing complex behaviours that can arise from minor (non-linear) adjustments to low-level parameters, the difficulties in suppressing the emergence of unwanted (bad) behaviour, the unexpected relationships between apparently unrelated physical phenomena (shown up by their separate emergence from the same primordial process swamp) and the ability to explore and engineer completely new physics (such as force fields) by their emergence from low-level process interactions whose mechanisms can only be imagined, but not built, at the current time

Effects of alarms on control of robot teams

Annunciator driven supervisory control (ADSC) is a widely used technique for directing human attention to control systems otherwise beyond their capabilities. ADSC requires associating abnormal parameter values with alarms in such a way that operator attention can be directed toward the involved subsystems or conditions. This is hard to achieve in multirobot control because it is difficult to distinguish abnormal conditions for states of a robot team. For largely independent tasks such as foraging, however, self-reflection can serve as a basis for alerting the operator to abnormalities of individual robots. While the search for targets remains unalarmed the resulting system approximates ADSC. The described experiment compares a control condition in which operators perform a multirobot urban search and rescue (USAR) task without alarms with ADSC (freely annunciated) and with a decision aid that limits operator workload by showing only the top alarm. No differences were found in area searched or victims found, however, operators in the freely annunciated condition were faster in detecting both the annunciated failures and victims entering their cameras' fields of view. Copyright 2011 by Human Factors and Ergonomics Society, Inc. All rights reserved

MANAGEMENT OF DIABETES WITH COVID-19: A REVIEW

Objective: As of now, the world is struggling with a serious pandemic of disease 2019 Coronavirus (COVID-19), which was emerged from Wuhan in China, originated by the novel coronavirus 2019 (SARS-CoV-2). COVID-19 is a viral illness, which is occurring on a large scale in every nation of the globe. Symptoms of coronavirus mainly include fever, fatigue, cough, headache, pneumonia and in severe condition, there is respiratory distress. The deadly virus alarmed the world to be on high alert as the number of rising cases and the death toll rising as the day passes. Methods: We have searched for articles of preference and interest systematically in sources like Google Scholar, PubMed, and other outlets. Results: Management in the case of diabetes is really necessary to decrease their mortality. Certain management parameters need to be followed to take care of patients suffering from both diseases. Conclusion: In this review, we highlighted the role of different medicines like chloroquine, lopinavir, and hydroxychloroquine for the remedy of this pandemic. We also discussed the chest Computed tomography functions and Real-time polymerase chain reaction for the screening of the outbreak. The center of attention of this review majorly on the care of diabetes throughout the time of the COVID-19 epidemic

Disappearing Act(ions): College Perceptions of Climate Change and its Impacts on Tourism

Various locations around the world are considered to be ‘disappearing’ due to the impacts of climate change on their natural attributes. This disappearance raises the question of how travel to those destinations will change in the future, and whether or not awareness of climate change might limit tourism. This study examines the presence of the last-chance tourism theory in college students, and hypothesizes that willingness to travel or engage in environmentally responsible behaviors will not change with increased awareness because of a desire to visit places before they disappear. A survey is used to gauge awareness and concern, as well as willingness to travel after being presented with a fact sheet on climate change and the impacts of tourism. Our results show that a large majority of students would still travel to a threatened location, but that they would also be willing to engage in environmentally responsible behaviors. Even though climate change awareness may not deter tourism, it may still increase concern and allow for the root issue of climate change to be addressed

Energy Disaggregation for SMEs using Recurrence Quantification Analysis

Energy disaggregation determines the energy consumption of individual appliances from the total demand signal, which is recorded using a single monitoring device. There are varied approaches to this problem, which are applied to different settings. Here, we focus on small and medium enterprises (SMEs) and explore useful applications for energy disaggregation from the perspective of SMEs. More precisely, we use recurrence quantification analysis (RQA) of the aggregate and the individual device signals to create a two-dimensional map, which is an outlined region in a reduced information space that corresponds to ‘normal’ energy demand. Then, this map is used to monitor and control future energy consumption within the example business so to improve their energy efficiency practices. In particular, our proposed method is shown to detect when an appliance may be faulty and if an unexpected, additional device is in use

Children Abducted by Family Members: National Estimates and Characteristics.

Presents national estimates of children abducted by family members in 1999, their demographic characteristics, and the characteristics of perpetrators and episodes. The Bulletin is part of a series summarizing findings from the second National Incidence Studies of Missing, Abducted, Runaway, and Thrownaway Children (NISMART-2). Of the estimated 203,900 children who experienced a family abduction, 117,200 were classified as caretaker missing and 56,500 were reported as missing to law enforcement or other agencies. Younger children were at greatest risk of being abducted by a family member. Use of threats or physical force was uncommon. The Bulletin also discusses policy implications of the findings