Random Access Protocols with Collision Resolution in a Noncoherent Setting

Wireless systems are increasingly used for Machine-Type Communication (MTC), where the users sporadically send very short messages. In such a setting, the overhead imposed by channel estimation is substantial, thereby demanding noncoherent communication. In this paper we consider a noncoherent setup in which users randomly access the medium to send short messages to a common receiver. We propose a transmission scheme based on Gabor frames, where each user has a dedicated codebook of M possible codewords, while the codebook simultaneously serves as an ID for the user. The scheme is used as a basis for a simple protocol for collision resolution.Comment: 5 pages, 3 figures; EDIT: A version of this work has been submitted for publication in the IEEE Wireless Communication Letters Journa

Enterprise, entrepreneurship, and innovation: what this means for the new HRM professional and the new workplace

With the fourth industrial revolution underway, this paper suggests that one way of responding to the changing way we work is for HRM professionals to develop a deeper and broader understanding of enterprising, entrepreneurial and innovative behaviours. The paper provides an over view of the changes that are beginning to occur as a result of this revolution and what these changes mean to employment. The paper examines the emerging skills needed for the future and argues that many if not all of these skills can be met by matching them to the competencies that make enterprising, entrepreneurial and innovative people successful. The paper looks at the implications for HRM professionals and concludes that a deeper and broader understanding of enterprising, entrepreneurial and innovative behaviours will be critical for HRM professionals as the nature of work changes

WELCOME TO THE DAWN OF THE FOURTH INDUSTRIAL REVOLUTION: ARE HR PROFESSIONALS PREPARED FOR THE IMPACT OF FUTURE OF WORK?

Propelled by the socio-economic disturbances and the COVID-19 pandemic, advanced technologies such as artificial intelligence (AI), Internet of Things (IoT), robotics, and Web3, which are characteristic of the Fourth Industrial Revolution (FIR), have gained significant ground globally, including the developing countries. As organizations face the array of opportunities and challenges of adopting these technologies, human resource (HR) professionals are tasked with trailblazing the digital transformation of workplaces. Yet, a gap in scientific research regarding the preparedness of HR professionals for this task exists, especially in developing countries like North Macedonia. With this research, the authors aim at addressing this gap and exploring the impact of FIR-related technologies on Macedonian workplaces, employees, their skills, and jobs, as well as, the level of readiness of HR professionals to step up in line with these advanced technologies. The authors build upon a review of the existing literature and use a quantitative online survey distributed to a selected group of HR professionals, operating on the territory of North Macedonia. The findings will contribute to a better understanding of the preparedness of HR professionals to steer organizations in the direction of working in the new era of automation and digital transformation

Оrganizational change as "push factor" of employees' turnover intention: Statistical analysis of the employees in the Republic of North Macedonia

The process of globalization and intensive technological development, imposes the need to constantly introduce different types of organizational changes. Numerous studies revealed that the most critical reason for the unsuccessful organizational change implementation is employee resistance. If further appropriate steps are not taken to improve the way employees are guided through this process, the end result can lead to leaving the organization Human resource managers in organizations are becoming increasingly aware that hiring and retaining talents are the most important determinants of success in the complex global world. Hence, HRM must work more intensively on modernizing the process of change management to help employees, not only for acceptance, but also for their involvement in the change implementation process. Hence, this paper analyzes the impact of four different types of organizational change on employee turnover intention, according to the Cummings and Worley organizational change classification. The statistical method of simple linear regression was applied to predict and evaluate the turnover intention of the employees in the Republic of North Macedonia (as a dependent variable “Y”) based on the value of each of the types of organizational changes (as independent variables “X”). A multiple regression method was also applied in order to analyze the associations between the independent variables and the dependent variable and identify the type of organizational changes that most significantly affects the employee turnover intention. The analysis was conducted based on the findings obtained from the respondents who completely answered the survey questionnaire (282 employees in the Republic of North Macedonia, different according to their demographic characteristics). The correlation analysis shows there is a positive correlation, as well as a causal relationship between all four types of organizational changes and the employee turnover intention, where techno-structural interventions have the most significant impact

ADJUSTMENTS OF BOARD COMPOSITION DURING COVID-19 CRISIS: ANALYSIS OF THE MACEDONIAN COMPANIES

The aim in this paper is to make an analysis of the reported changes in the boards’ composition of the Macedonian stock exchange listed companies during Covid 19 crisis. In order to achieve this objective, secondary data of the companies reports published on the Macedonian stock exchange website were used. The sample consists of 80 companies, and firstly we performed qualitative analysis on the companies’ reports regarding boards’ composition changes. Afterwards, in order to increase the understanding of the factors that determine boards’ composition in Macedonian joint-stock companies, we designed a model to examine the relation of company characteristics, industry characteristics and market perception of company value with board size, board independence and board diversity. The results from our analyses shows that during Covid 19 period substantial number of companies from the sample have made changes in board composition and only 9.38% of the companies that reported change decided to reappoint the same members.  However, this does not mean that Covid 19 has been the only factor influencing the changes. Furthermore, one of our conclusions from the presented results in the study is that most of the variations in board/boards size can be explained by the differences in firm characteristics (in particular operating revenues and chosen boards structure), while the variations in board independence can be explained by firm characteristics (in particular operating revenues and chosen board structure) and industry characteristics

A Pre-log Region for the Non-coherent MIMO Two-Way Relaying Channel

We study the two-user MIMO block fading two-way relay channel in the non-coherent setting, where neither the terminals nor the relay have knowledge of the channel realizations. We analyze the achievable sum-rate when the users employ independent, isotropically distributed, unitary input signals, with amplify-and-forward (AF) strategy at the relay node. As a byproduct, we present an achievable pre-log region of the AF scheme, defined as the limiting ratio of the rate region to the logarithm of the signal-to-noise ratio (SNR) as the SNR tends to infinity. We compare the performance with time-division-multiple-access (TDMA) schemes, both coherent and non-coherent. The analysis is supported by a geometric interpretation, based on the paradigm of subspace-based communication

Anxiolytic-like effect of Aronia Melanocarpa fruit juice applied Subchronically to rats

PURPOSE: The main biologically active constituents of Aronia melanocarpa fruit juice (AMFJ) are polyphenolics, amongst them proanthocyanidins, flavonoids and phenolic acids. The aim of the present study was to investigate the effects of Aronia melanocarpa fruit juice (AMFJ) on anxiety in subchronically treated (21 and 30 days) male Wistar rats utilizing the social interaction test.MATERIA AND METHODS: AMFJ was applied orally through an orogastric cannula once daily at doses of 2.5 ml/kg, 5 ml/kg and 10 ml/kg for periods of 21 and 30 days to the respective experimental groups. The social interaction test was carried out 1 hour after the treatment on the 21st and 30th day. The time of social interaction between the test partners was used as a measure of anxiety. The longer time for social contacts showed lower degree of anxiety.RESULTS: In rats treated with AMFJ for 21 days, the time of social contacts between the test partners increased dose-dependently and at the dose of 10 ml/kg it was significantly higher (p < 0.05) than the control time. Applied for 30 days, AMFJ did not increase the time of social interaction between the rats which might be attributed to the fact that at such duration of treatment AMFJ could decrease the general locomotor activity of the animals.CONCLUSION: The findings from the present study suggest an anxiolytic-like effect of AMFJ in rats which could be due to its polyphenolic ingredients

Antidepressant-like effect of aronia melanocarpa fruit juice applied subchronically to rats

PURPOSE: Polyphenols are bioactive substances found in many plants. Aronia melanocarpa fruits are one of the richest sources of polyphenols, amongst them proanthocyanidins, flavonoids and phenolic acids. Some of the polyphenols are reported to cross the blood-brain barrier and thus they can act centrally. The aim of the present study was to investigate the effect of Aronia melanocarpa fruit juice (AMFJ) on depressive- like behavior in subchronically treated (21 and 30 days) male Wistar rats utilizing the forced swim test (FST).MATERIAL AND METHODS: AMFJ was applied orally through an orogastric cannula once daily at doses of 2,5 ml/kg, 5 ml/kg and 10 ml/kg for periods of 21 and 30 days to the respective experimental groups. The FST was carried out 1 hour after the treatment on the 21st and 30th day.RESULTS: AMFJ applied for 21 days decreased significantly (p < 0,05) the immobility time in the FST at the doses of 2,5 ml/kg and 10 ml/kg. In rats treated with AMFJ for 30 days, the immobility time was dose-dependently decreased and at the dose of 10 ml/kg it was significantly lower (p < 0,05) than the control one.CONCLUSION: The decreased immobility time in the FST suggests an antidepressant-like effect of AMFJ in rats which could be due to the polyphenolic ingredients of the juice

Outcome measures and biomarkers in chronic inflammatory demyelinating polyradiculoneuropathy : from research to clinical practice

Introduction: Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated syndrome characterized clinically by weakness and/or numbness that evolves over 2 months or more. The heterogeneity of clinical features necessitates an individualized approach to disease monitoring that takes lessons learned from clinical trials and applies them to clinical practice. Areas covered: This review discusses the importance of clinimetrics and biomarkers in CIDP diagnosis and disease monitoring. Highlighted are the challenges of defining responses to immunotherapy, the usefulness, and limitations of utilizing evidence-based clinical outcome measures during routine clinical care, and the evolving understanding of how diagnostic and disease activity biomarkers may reshape our treatment and disease monitoring paradigms. Expert opinion: Although disability and impairment outcome measures are commonly used in CIDP to indicate disease status, the nonspecific nature of these metrics limits the ability to attribute a change in any given metric to a change in CIDP. This interpretive challenge may be magnified by inconsistencies in the direction of change as well as a strong placebo effect. There is a need to improve our understanding of minimally important changes in existing outcome measures as a means to personalize treatment and to better assess disease activity status with biomarker discovery