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The paper aims to characterize anomaly detection in hyperspectral imagery.

This paper develops an adaptive causal anomaly detector (ACAD) to investigate several issues encountered in hyperspectral image analysis which have not been addressed in the past. It also designs extensive synthetic image‐based computer simulations and real image experiments to substantiate the work proposed in this paper.

This paper developed an ACAD and custom‐designed computer simulations and real image experiments to successfully address several issues in characterizing anomalies for detection, which are – first, how large size for a target to be considered as an anomaly? Second, how an anomaly responds to its proximity? Third, how sensitive for an anomaly to noise? Finally, how different anomalies to be detected? Additionally, it also demonstrated that the proposed ACAD can be implemented in real time processing and implementation.

This paper is the first work on investigation of several issues related to anomaly detection in hyperspectral imagery via extensive synthetic image‐based computer simulations and real image experiments. In addition, it also develops a new developed an ACAD to address these issues and substantiate its performance.

To design an efficient and integrated framework for automated and simple data acquisition and processing targeted for first response scenarios.

Utilizes existing software/hardware integration tools and primarily off‐the‐shelf components. Use the modular system architecture for development of new applications. System construction is preceded by the analysis of currently available devices for specific data acquisition and processing.

The development and integration of data acquisition and processing tools for first responder scenarios can be rapidly achieved by the modular and already existing software/hardware integration platform. Data types processed by this system are biometrics, live video/audio and textual/command data. The data acquisition is followed by the prompt dissemination of information from the incident scene thus overcoming interoperability issues.

Integration of new modules is achieved through simple system upgrades – new applications are created and integrated while the rest of the platform remains intact. Off‐the‐shelf components used eliminate the need for specialized hardware development. The speech user interface allows simple interaction with the system in an eyes‐off, hands‐off manner.

The system represents an efficient platform for integrated data acquisition and processing specially targeted for first response. The test‐bed flexibility allows for straightforward integration of devices/applications handling new data type as required by the user.

Radio frequency identification (RFID) is a technology for tracking objects that is expected to be widely adopted in very near future. A reader device sends probes to a set of RFID tags, which then respond to the request. A tag is recognized only when it is the only one to respond to the probe. Only reader has collision detection capability. The problem considered here is to minimize the number of probes necessary for reading all the tags, assuming that the number of tags is known in advance.

Well known binary and n‐ary partitioning algorithms can be applied to solve the problem for the case of known number of tags. A new randomized hybrid tag identification protocol has been proposed, which combines the two partitioning algorithms into a more efficient one. The new scheme optimizes the binary partition protocol for small values of n (e.g. n=2, 3, 4). The hybrid scheme then applies n‐ary partition protocol on the whole set, followed by binary partition on the tags that caused collision.

It is analytically proved that the expected number of time slots in the hybrid algorithm with known number of users is less than 2.20 n. Performance of these algorithms was also evaluated experimentally, and an improvement from en to approximately 2.15 n was obtained.

The algorithm shown here is efficient both by theory and practice and outperforms existing ones.

Artists operating under a studio model, such as Andy Warhol, have frequently been described as reducing their work to statements of authorship, indicated by the signature finally affixed to the work. By contrast, luxury goods manufacturers decry as inauthentic and counterfeit the handbags produced during off-shift hours using the same materials and craftsmanship as the authorized goods produced hours earlier. The distinction between authentic and inauthentic often turns on nothing more than a statement of authorship. Intellectual property law purports to value such statements of authenticity, but no statement has value unless it is accepted as valid by its audience, a determination that depends on shared notions of what authenticity means as well as a common understanding of what authenticity designates.

The purpose of the study is to conduct an in-depth study of employee performance in connection with compensation, job satisfaction and the work environment of employees at the PT Bank Rakyat Indonesia (Persero) Tbk.

This study was performed at the PT Bank Rakyat Indonesia (Persero) Tbk, which operates in Indonesia, and included all employees of the different branch offices in Sumatera, Jawa, Kalimantan, Sulawesi, Bali and Jayapura.

Compensation does not directly affect employee performance but working environment does directly influence employee performance at the PT Bank Rakyat Indonesia (Persero) Tbk. There is the power of compensation and working environment on job satisfaction and employee performance at the PT Bank Rakyat Indonesia (Persero) Tbk.

The difference between this research and previous ones is the application of compensation influence testing on employee job satisfaction and performance within one bank in Indonesia.

The purpose of this paper is to describe family intervention (FI) with four families in which the service user is under the care of forensic mental health services. There is a focus on identifying how systemic practice is used or adapted in working with families who have a family member who has presented risk and caused harm.

Four case studies are used to provide a basis for the exploration of commonalities in practice between the cases and the utility of FI within forensic services, which have the dual purpose of promoting mental health recovery and reducing offending/risk behaviour.

Family work can be a key healing tool in the recovery journey of forensic service users and their families. An integrated systemic and psycho-educational FI approach was found to be appropriate in the cases described. Issues particular to forensic services are identified; these include the role of safety planning; the function of talking about the history of trauma in the family including the impact of offending behaviour; mediating difficult relationships between family members and professionals; and overcoming barriers to having difficult and emotive conversations.

The absence of outcome assessments limits the findings to observational data and self-reported experiences from the authors.

FI can be safely and effectively used within forensic settings, facilitated by practitioners competent in working with trauma and complexity, as an integrated component of the therapeutic treatment.

There are recognised barriers to the provision of FI within forensic settings, with limited research regarding the application of such therapies with forensic patients and their families. This paper adds to the small pool of knowledge regarding useful applications of FI in such settings.

Although mental health problems increase markedly during adolescent years, therapists often find it difficult to engage with adolescents. The majority of disturbed adolescents do not receive professional mental health care and of those who do fewer still will fully engage with the therapeutic process (Offer et al. 1991; US Surgeon General 1999). Personal Investigator (PI) is a 3D computer game specifically designed to help adolescents overcome mental health problems such as depression and help them engage more easily with professional mental health care services. PI is an implementation of a new computer mediated model for how therapists and adolescents can engage. The model has its theoretical foundations in play therapy and therapeutic storytelling and applies current research on the educational use of computer gaming and interactive narrative systems to these foundations. Previously demonstrated benefits of computer games and interactive narrative systems in education include increased motivation, increased self‐esteem, improved problem solving and discussion skills and improved storytelling skills (Bruckman 1997; Bers 2001; Robertson 2001; Robertson and Oberlander 2002; Bers et al. 2003; Squire 2003). PI aims to take advantage of these benefits in a mental health care setting. PI incorporates a goal‐oriented, strengths based model of psychotherapy called Solution Focused Therapy (SFT). By engaging adolescents, in a client‐centred way, it aims to build stronger therapeutic relationships between therapists and adolescents. PI is the first game to integrate this established psychotherapy approach into an engaging online 3D game. Results of trials of PI with four adolescents, referred to clinics for issues including anxiety and behaviour problems, attempted suicide, and social skills difficulties, are presented.

This chapter embraces a rhythmanalytic approach to address the complexities of a city recovering from a disaster. Bridging Henri Lefebvre's work on everyday life with his later work on rhythms this chapter engages his theory to analyse the case of L'Aquila, a city in central Italy that was destroyed by an earthquake in 2009. To this day, the city's skyline is dominated by cranes, while life unfolds along with sounds of the ongoing reconstruction. While the city is still recovering from the earthquake, the landscape of ruins co-exists with a landscape of construction. More than 10 years after the earthquake stripped away life from its historical centre, the city continues to live in a temporal in-between the disaster and its future ‘rebirth’. While most of the current research on the city neglects the city's everyday experience, my research decentres the debate by analysing the everyday rhythms of L'Aquila's historical centre. Additionally, drawing from walking interviews this chapter highlights the perplexing aspects of everyday life in the city emphasising how the city is negotiated and learned from the locals. This chapter highlights the way different temporalities blur in the everyday practices of reconstruction, emphasising how the city is lived and created in the here-and-now.

Whilst there is growing awareness of the case for children and young people's participation in health services and health service research, there is limited evidence on how this apparent commitment to children's right to participate translates into practice.

The chapter, co-authored with and young people, draws on examples from the authors' original research and lived experience to consider the impact of the COVID-19 pandemic on children and young people's participation in the United Kingdom (UK) National Health Service (NHS). There is evidence of children and young people in the UK becoming more reliant on parents and carers as conduits for engagement and as sources of information during the pandemic. Additionally, some children and young people with special educational needs and disability and other potentially vulnerable groups have engaged less with health services and have been excluded from participating by a move to digital platforms. Conversely online and phone involvement and consultations have led to higher inclusion for others. Adapting by necessity to COVID-19 has highlighted the potential for doing things differently and developing more participatory and inclusive practice in collaboration with children, in the UK and elsewhere. It is critical that children are involved in shaping the development of participation practice which challenges and reshapes institutional practices in health services and beyond.