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The purpose of this paper is to draw on the philosophy of information, specifically the work of Luciano Floridi, to argue that digital civics must fully comprehend the implications of the digital environment, and consequently an informational ontology, to deliver to students an education that will prepare them for full participation as citizens in the infosphere.

Introducing this philosophy for use in education, the research discusses the ethical implications of ontological change in the digital age; informational organisms and their interconnectivity; and concepts of agency, both organic and artificial in digitally mediated civic interactions and civic education.

With the provision of a structural framework rooted in the philosophy of information, robust mechanisms for civics initiatives can be enacted.

The paper allows policy makers and practitioners to formulate healthy responses to digital age challenges in civics and civics education.

This paper aims to offer practical guidance on teaching about digital extremism – defined here as the intersection of digital disinformation campaigns with political extremism – by highlighting four pedagogical challenges: the danger of unintentionally “redpilling” students; the slippery slope to false equivalency and “bothsidesism” in turbulent partisan waters; the difficulty of separating empirical analyses from prescriptive debates circulating in popular media; and the trouble of getting students to understand digital extremism as a sociotechnical problem rather than as a social-or-technical problem. The conclusion proposes opportunities for educators to integrate practical approaches to confronting digital extremism with digital civics curricula.

This paper reviews pedagogical challenges and outlines a curricular program for teaching about digital extremism drawn from the author’s experience designing undergraduate courses and open teaching modules between 2016 and 2021.

Educators should shift focus from the substance of digital extremism to its tools – social media platforms’ surveillance and data-gathering methods, advertising technologies and monetized user-generated content, personalized recommendation algorithms and media manipulation strategies that amplify some narratives while suppressing others – and the media and political institutions that benefit most from it. Proposed lessons include: how digital extremists manipulate social media metadata; engagement with data creation and targeting practices; and analysis of information production, circulation and consumption exploring media manipulation tools and their effects.

This paper’s added values are the insights and practical recommendations for undergraduate educators teaching on a topic of urgent contemporary concern: digital extremism.

The current and on-going coronavirus (COVID-19) has disrupted many human lives all over the world and seems very difficult to confront this global crisis as the infection is transmitted by physical contact. As no vaccine or medical treatment made available till date, the only solution is to detect the COVID-19 cases, block the transmission, isolate the infected and protect the susceptible population. In this scenario, the pervasive computing becomes essential, as it is environment-centric and data acquisition via smart devices provides better way for analysing diseases with various parameters.

For data collection, Infrared Thermometer, Hikvision’s Thermographic Camera and Acoustic device are deployed. Data-imputation is carried out by principal component analysis. A mathematical model susceptible, infected and recovered (SIR) is implemented for classifying COVID-19 cases. The recurrent neural network (RNN) with long-term short memory is enacted to predict the COVID-19 disease.

Machine learning models are very efficient in predicting diseases. In the proposed research work, besides contribution of smart devices, Artificial Intelligence detector is deployed to reduce false alarms. A mathematical model SIR is integrated with machine learning techniques for better classification. Implementation of RNN with Long Short Term Memory (LSTM) model furnishes better prediction holding the previous history.

The proposed research collected COVID −19 data using three types of sensors for temperature sensing and detecting the respiratory rate. After pre-processing, 300 instances are taken for experimental results considering the demographic features: Sex, Patient Age, Temperature, Finding and Clinical Trials. Classification is performed using SIR mode and finally predicted 188 confirmed cases using RNN with LSTM model.

This paper aims to describe the process and outcomes of restorative justice (RJ) between a detained patient with autism and a person he harmed.

A single case study design was used to provide an in-depth description of a RJ referral.

Restorative outcomes that align with the theories of RJ, in particular trauma processing and emotional reconnection, were observed by RJ practitioners and reported by participants. The person harmed reported a “safer” memory of the offence.

The absence of outcome assessments limits the findings to observational data and self-reported experiences from participants. A triangulated outcome approach is recommended.

RJ practices can safely be applied within a secure hospital environment. The RJ process can also be followed by a person with difficulties in social and emotional processing.

The RJ process provides a safe framework within which forensic mental health services can respond to the needs of victims, which are not routinely addressed in standard clinical practice, and in worst case scenarios, may even be overlooked.

This chapter uses Goffman’s concept of total institutions in a comparative case study approach to explore the role of psychotropic drugs in the process of transinstitutionalization.

This chapter interprets psychotropic drug use across four institutionalized contexts in the United States: the active-duty U.S. military, nursing homes and long-term care facilities, state and federal prisons, and the child welfare system.

This chapter documents a major unintended consequence of transinstitutionalization – the questionable distribution of psychotropics among vulnerable populations. The patterns of psychotropic use we synthesize suggest that total institutions are engaging in ethically and medically questionable practices and that psychotropics are being used to serve the bureaucratic imperatives for social control in the era of transinstitutionalization.

Psychotropic prescribing practices require close surveillance and increased scrutiny in institutional settings in the United States. The flows of mentally ill people through a vast network of total institutions raises questions about the wisdom and unintended consequences of psychotropic distribution to vulnerable populations, despite health policy makers’ efforts regulating their distribution. Medical sociologists must examine trans-institutional power arrangements that converge around the mental health of vulnerable groups.

This is the first synthesis and interpretive review of psychotropic use patterns across institutional systems in the United States. This chapter will be of value to medical sociologists, mental health professionals and administrators, pharmacologists, health system pharmacists, and sociological theorists.

Little is known about the association of intimate partner violence (IPV) with specific HIV-treatment outcomes, especially among criminal justice (CJ) populations who are disproportionately affected by IPV, HIV, mental, and substance use disorders (SUDs) and are at high risk of poor post-release continuity of care.

Mixed methods were used to describe the prevalence, severity, and correlates of lifetime IPV exposure among HIV-infected jail detainees enrolled in a novel jail-release demonstration project in Connecticut. Additionally, the effect of IPV on HIV treatment outcomes and longitudinal healthcare utilization was examined.

Structured baseline surveys defined 49 percent of 84 participants as having significant IPV exposure, which was associated with female gender, longer duration since HIV diagnosis, suicidal ideation, having higher alcohol use severity, having experienced other forms of childhood and adulthood abuse, and homo/bisexual orientation. IPV was not directly correlated with HIV healthcare utilization or treatment outcomes. In-depth qualitative interviews with 20 surveyed participants, however, confirmed that IPV was associated with disengagement from HIV care especially in the context of overlapping vulnerabilities, including transitioning from CJ to community settings, having untreated mental disorders, and actively using drugs or alcohol at the time of incarceration.

Post-release interventions for HIV-infected CJ populations should minimally integrate HIV secondary prevention with violence reduction and treatment for SUDs.

All items listed may be borrowed from the Aslib Library, except those marked, which may be consulted in the Library.

AT the very outset of this paper it is necessary to make clear that it is not an attempt to compile an exhaustive bibliography of literature relating to special librarianship. Neither space nor time permit this. In fact, the references given can only claim to be a sample of the wealth of material on the subject and this paper is submitted in the hope that it will stimulate others to more scholarly efforts. Reference numbers throughout this paper refer to items in the ‘Select list of references to the literature of special librarianship’, section 2 onwards.

Libraries—international DIK LEHMKUHL, ‘Harvesting books for the world’, Library Journal. 15 May 1946 (vol. 71, no. 10), pp. 728–30. [A report on the work of the Inter‐allied Book Centre, London.]

In the present study, laminar steady flow of nanofluid through a trapezoidal channel is studied by using of finite volume method. The main aim of this paper is to study the effect of changes in geometric parameters, including internal and external dimensions on the behavior of heat transfer and fluid flow. For each parameter, an optimum ratio will be presented.

The results showed that in a channel cell, changing any geometric parameter may affect the temperature and flow field, even though the volume of the channel is kept constant. For a relatively small hydraulic diameter, microchannels with different angles have a similar dimensionless heat flux, while channels with bigger dimensions show various values of dimensionless heat flux. By increasing the angles of trapezoidal microchannels, dimensionless heat flux per unit of volume increases. As a result, the maximum and minimum heat transfer rate occurs in a trapezoidal microchannel with 75° and 30 internal’s, respectively. In the study of dimensionless heat flux rate with hydraulic diameter variations, an optimum hydraulic diameter (Dh) was observed in which the heat transfer rate per unit volume attains maximum value.

This optimum state is predicted to happen at a side angle of 75° and hydraulic diameter of 290 µm. In addition, in trapezoidal microchannel with higher aspect ratio, dimensionless heat flux rate is lower. Changing side angles of the channels and pressure drop have the same effect on pressure drop. For a constant pressure drop, if changing the side angles causes an increase in the rectangular area of the channel cross-section and the effect of the sides are not felt by the fluid, then the dimensionless heat flux will increase. By increasing the internal aspect ratio (t_2/t_3), the amount of t_3 decreases, and consequently, the conduction resistance of the hot surface decreases.

The effects of geometry of the microchannel, including internal and external dimensions on the behavior of heat transfer and fluid flow for pressure ranges between 2 and 8 kPa.