Joint modulation classification and antenna number detection for MIMO systems

Noncooperative classification of the modulation type of communication signals finds application in both civilian and military contexts. Existing modulation classification methods for multiple-input multiple-output (MIMO) communication systems commonly require a priori information on the number of transmit antennas employed by the multiantenna transmitter, which, in most of the noncooperative scenarios involving modulation classi- fication, is unknown and needs to be blindly extracted from the received signal. Since the problems of MIMO modulation classification and detection of the number of transmit antennas are highly coupled, we propose a decision theoretic approach for spatial multiplexing MIMO systems that considers these two tasks as a joint multiple hypothesis testing problem. The proposed method exhibits a high performance even in moderate to low SNR regimes while requiring no a priori knowledge of the channel state information and the noise variance

Design for Acceptance and Intuitive Interaction: Teaming Autonomous Aerial Systems with Non-experts

In recent years, rapid developments in artificial intelligence (AI) and robotics have enabled transportation systems such as delivery drones to strive for ever-higher levels of autonomy and improve infrastructure in many industries. Consequently, the significance of interaction between autonomous systems and humans with little or no experience is steadily rising. While acceptance of delivery drones remains low among the general public, a solution for intuitive interaction with autonomous drones to retrieve packages is urgently needed so that non-experts can also benefit from the technology. We apply a design science research approach and develop a mobile application as a solution instantiation for both challenges. We conduct one expert and one non-expert design cycle to integrate necessary domain knowledge and ensure acceptance of the artifact by potential non-expert users. The results show that teaming of non-experts with complex autonomous systems requires rethinking common design requirements, such as ensuring transparency of AI-based decisions

Exploring the Effect of National Culture on Emerging Technologies: A Glimpse into the Future

As organizations become increasingly globalized, understanding the impact of national culture on the successful usage and adoption of emerging technologies is crucial. National culture influences the strategies of organizations, for instance how the employees successfully adopt and use emerging technologies. While the effect of national culture has been widely observed in information systems, it is still challenging to measure the influence of national culture on the usage and adoption of emerging technologies. To contribute to the existing body of knowledge, we conducted a structured literature review on how previous work measured national culture to provide a starting point for further theory development. For instance, our findings emphasize the need to measure culture at an individual level. Finally, we developed a research agenda to provide a starting point for developing theories to measure the influence of national culture on emerging technologies

Visit Your Therapist in Metaverse - Designing a Virtual Environment for Mental Health Counselling

The emergence of the metaverse as a virtual world platform has opened up new possibilities for the use of immersive technologies in healthcare. This paper aims to explore the potential of the metaverse for healthcare and show how metaverse should be designed. We conduct a study based on design science research and derive design principles for the designing of a virtual environment for mental health counselling. We evaluate each of these design principles and describe how they can be applied in a practical solution. The results indicate that the metaverse holds significant promise for improving healthcare delivery and enhancing patient outcomes. Our study thus contributes to the emerging field of metaverse in healthcare by providing a design approach for the development of applications that can serve as a virtual environment for therapeutic sessions between medical therapists and patients

A Framework for Developing Cross-Sectional Surveys

Although the use of cross-sectional surveys is widespread in Information Systems (IS) research and related disciplines, few papers address the survey development process. In order to ensure a standardized approach, comparable and valid results, as well as to guide researchers in quantitative research methods, this paper presents a framework for the survey development process in IS. Based on a Design Science Research (DSR) methodology, the framework was derived from a structured literature review of leading IS journals and refined by three focus group discussions among IS experts. The framework includes several steps and considerations on the sample size, variable selection, their order in the survey, protection against bias, ensuring validity and reliability, and testing before administering the survey with a focus on documentation and reporting. Our framework supports quantitative research by providing a structured approach to create reliable and credible surveys

Are Organizations Ready for Metaverse? Identifying Influencing Factors for Initiating Metaverse in the Organizational Context

The metaverse is intended to reflect almost all activities of everyday and professional life in creating a new experience of social interaction by merging the virtual and real world in an interactive environment. It has the potential to disrupt the way we interact, socialize and work and thus organizations pursue possible application areas. However, there is a lack of research on the organizational readiness factors to ensure a successful initiation. To address this, we conducted 17 expert interviews from different industries. Drawing on the TOE framework, we identified 14 factors and respective propositions for the organizational context. Thereby well-known factors such as top management support were adapted to the requirements of the metaverse, but also new metaverse-specific factors emerged such as standards and interoperability

QUASI STATISTICAL CONVERGENCE IN CONE METRIC SPACES

The main purpose of this paper is to define a new type of statisticalconvergence of sequences in a cone metric space and investigate the relationsof these sequences with some other sequences

What influences women’s contraceptive choice? A cross-sectional study from Turkey

Objectives: In our study, we tried to investigate the determinants of women’s choices about contraception with the aim of discovering whether or not there is a difference in their preferences before and after consultation with a gynaecologist. Material and methods: A total of 1058 women were enrolled. They were given detailed information regarding contraception and contraceptive methods. Subsequently, a survey which was made of 21 questions was administered. Results: Contraceptive counselling significantly changed the contraceptive choice of women. However, influences from social media and friends, their partners and religious belief affected their contraceptive choices. Significant differences in contraceptive choice were observed when women were categorized according to their marital status, education level, household income, age, and number of children. Conclusions: Although contraceptive counselling influenced Turkish women’s choices, there were still other determinants like social media and input from outside sources such as clerics and husbands, which should be overcome

The Relationship Between Social Anxiety and Anxiety Sensitivity in Young Adults with Methamphetamine Use Disorder

Objective: Recently, it has been observed that the prevalence of substance use in young adulthood has increased. Comorbidity of anxiety disorders is high in individuals with substance use disorder. In this study, it was aimed to investigate the relationship between anxiety sensitivity and social anxiety in young adults using methamphetamine. Material and Methods: 101 patients diagnosed with methamphetamine use disorder were included in the study. Participants were evaluated with sociodemographic data form, Addiction Profile Index (BAPI), Symptom Check List (SCL-90-R), Liebowitz Social Anxiety Inventory (LSAI) and Anxiety Sensitivity Index-3 (ASI-3). Results: It was determined that 70.3% of the subjects with SUD were diagnosed as SAD. ASI-3, SCL-90-R and BAPI scores were statistically significantly higher in the SAD group than in the non-SAD group (p<0.05). A statistically significant positive correlation was found in the SAD group between the LSAI-fear/anxiety subscale scores and ADI-3 total (r=0.26, p<0.05), ADI-3 cognitive(r=0.34, p<0.05) and SCL-90-R total scores (r=0.28, p<0.05). No correlation was found between LSAI scores and ADI-3 total and subscale scores in the non-SAD group (p>0.05). Conclusion: It can be suggested that anxiety sensitivity is a common risk factor for both methamphetamine use disorder and social anxiety. Social anxiety symptoms should be questioned in individuals with methamphetamine use disorder and substance addiction treatment should be carried out together with social anxiety disorder treatment