Detecting Well-being in Digital Communities: An Interdisciplinary Engineering Approach for its Indicators

In this thesis, the challenges of defining, refining, and applying well-being as a progressive management indicator are addressed. This work\u27s implications and contributions are highly relevant for service research as it advances the integration of consumer well-being and the service value chain. It also provides a substantial contribution to policy and strategic management by integrating constituents\u27 values and experiences with recommendations for progressive community management

Detecting Well-being in Digital Communities: An Interdisciplinary Engineering Approach for its Indicators

In this thesis, the challenges of defining, refining, and applying well-being as a progressive management indicator are addressed. This work\u27s implications and contributions are highly relevant for service research as it advances the integration of consumer well-being and the service value chain. It also provides a substantial contribution to policy and strategic management by integrating constituents\u27 values and experiences with recommendations for progressive community management

12-Item Depression, Anxiety, And Stress Scales (Dass-12): Associations With Self-Report Measures, A Semi-Strcutured Interview, And Behavioral Tasks

To date, only one study has examined the psychometric properties of the 12-item depression, anxiety, and stress scales (DASS). Moreover, all psychometric studies conducted with the DASS-21 have focused narrowly on associations with semi-structured interviews and other relevant self-report measures. In order to address these limitations, I proposed to diversify the ways in which we examine the DASS instrument (for both the 12- and 21-item versions). First, I examined the extent to which the DASS instrument is able to predict responses to behavioral tasks and whether the DASS was able to produce hypothesized convergent and divergent relationships with relevant self-report measures. Second, I examined how well the DASS predicted diagnoses gleaned from semi-structured interviews. Third, I estimated the reliability of the DASS with Raykov\u27s reliability estimates and Cronbach\u27s alpha values. Results across these analyses suggest that the DASS-12 and DASS-21 possess acceptable psychometric properties when measuring general psychological distress. However, both instruments lacked compelling evidence for being able to account for symptoms of anxiety, depression and stress after factoring in general psychological distress. Recommendations such as revising DASS-items, generating new items, or simply using the total score are discussed in the context of a broader taxonomy of anxiety and mood disorders

Advanced electro-optical imaging techniques

The papers presented at the symposium are given which deal with the present state of sensors, as may be applicable to the Large Space Telescope (LST) program. Several aspects of sensors are covered including a discussion of the properties of photocathodes and the operational imaging camera tubes

The structure and reactivity of heterogeneous surfaces and study of the geometry of surface complexes

Issued as Progress report, Project no. G-41-667 (continues G-41-653

Security and Privacy for Modern Wireless Communication Systems

The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks