The Moderation of Perceived Comfort and Relations with Patients in the Relationship between Secure Workplace Attachment and Organizational Citizenship Behaviors in Elderly Facilities Staff

This study focuses on caregivers who work in residential facilities (RFs) for the elderly, and specifically on their organizational citizenship behaviors (OCBs) in relation to their interaction respectively with the overall context (workplace attachment dimension), the spatial-physical environment (perceived environmental comfort), and the social environment (relationship with patients). A sample of health care workers (medical or health care specialists, nurses, and office employees, n = 129) compiled a self-report paper-pencil questionnaire, which included scales measuring the study variables. The research hypotheses included secure workplace attachment style as independent variable, OCBs as the dependent variable, and perceived comfort and relations with patients as moderators. Results showed that both secure workplace attachment and perceived comfort promote OCBs, but the latter counts especially as a compensation of an insecure workplace attachment. As expected, difficult relationships with patients hinder the relationship between secure workplace attachment style and OCBs. In sum, our study highlights the importance of the joint consideration of the psychological, social, and environmental dimensions for fostering positive behaviors in caregivers employed in elderly care settings.

The impact of depression diagnosis on diabetes and lifetime hyperglycaemia

Aims The aim of this study was to evaluate longitudinal associations between the mean and variability of HbA1c levels in individuals with type 2 diabetes (T2D) and major depressive disorder (MDD). Methods Individuals with T2D from the UK Biobank with linked primary care records were analysed. An HbA1c measurement within +/- 6-months of T2D diagnosis was taken as baseline, with subsequent HbA1c measurements used as the outcome in generalised least squares regression to evaluate longitudinal associations with a three-level MDD diagnosis variable (MDD controls, pre-T2D MDD cases and post-T2D MDD cases). Results Using 7,968 T2D individuals, we show that MDD has utility in explaining mean HbA1c levels (p=6.53E-08). This is attributable to MDD diagnosis interacting with baseline T2D medication (p=3.36E-04) and baseline HbA1c (p=2.66E-05), but not with time- when all else is equal, the temporal trend in expected HbA1c did not differ by MDD diagnosis. However, joint consideration with baseline T2D medication showed that each additional medication prescribed was associated with a +4 mmol/mol (2.5%) increase in expected HbA1c across follow up for post-T2D MDD cases, relative to pre-T2D MDD cases and MDD controls. Furthermore, variability in HbA1c increased across time for post-T2D MDD cases but decreased for MDD controls and pre-T2D MDD cases. Conclusions These findings suggest closer monitoring of individuals with both T2D and MDD is essential to improve their diabetic control, particularly for those who develop MDD after T2D diagnosis.

The method of discretization signals to minimize the fallibility of information recovery

The paper proposes a fundamentally new approach to the formulation of the problem of optimizing the discretization interval (frequency). The well-known traditional methods of restoring an analog signal from its discrete implementations consist of sequentially solving two problems: restoring the output signal from a discrete signal at the output of a digital block and restoring the input signal of an analog block from its output signal. However, this approach leads to methodical fallibility caused by interpolation when solving the first problem and by regularizing the equation when solving the second problem. The aim of the work is to develop a method for the signal discretization to minimize the fallibility of information recovery to determine the optimal discretization frequency.The proposed method for determining the optimal discretization rate makes it possible to exclude both components of the methodological fallibility in recovering information about the input signal. This was achieved due to the fact that to solve the reconstruction problem, instead of the known equation, a relation is used that connects the input signal of the analog block with the output discrete signal of the digital block.The proposed relation is devoid of instabilities inherent in the well-known equation. Therefore, when solving it, neither interpolation nor regularization is required, which means that there are no components of the methodological fallibility caused by the indicated operations. In addition, the proposed ratio provides a joint consideration of the properties of the interference in the output signal of the digital block and the frequency properties of the transforming operator, which allows minimizing the fallibility in restoring the input signal of the analog block and determining the optimal discretization frequency.A widespread contradiction in the field of signal information recovery from its discrete values has been investigated. A decrease in the discretization frequency below the optimal one leads to an increase in the approximation fallibility and the loss of some information about the input signal of the analog-to-digital signal processing device. At the same time, unjustified overestimation of the discretization rate, complicating the technical implementation of the device, is not useful, since not only does it not increase the information about the input signal, but, if necessary, its restoration leads to its decrease due to the increase in the effect of noise in the output signal on the recovery accuracy. input signal. The proposed method for signal discretization based on the minimum information recovery fallibility to determine the optimal discretization rate allows us to solve this contradiction.

Three-Way Interaction Effect Model: Moderating Effect of Resource Between Business Age and Host Performance

In the field of accommodation sharing, little attention has been paid to micro-entrepreneurship of hosts. Based on the signaling theory and the resource-based theory, we proposed a three-way interaction effect model to investigate the moderating effect of resource configuration (business size and host reputation) on the relationship between business age and host performance. A statistical analysis of the secondary panel data crawled from Airbnb.com was tested through the negative binomial model. The results shown that: (1) Business age is positively related to host performance; (2) the positive impact of business age on host performance is stronger for smaller size; host reputation has no significant moderating effect on the relationship between business age and host performance; (3) the joint consideration of business age, size, and host reputation has a three-way interaction effect on host performance. The positive impact of business age on host performance is strongest for hosts with smaller size and higher host reputation. These results are helpful to understand the micro-entrepreneurship performance of hosts in the field of accommodation sharing.

Recommendations on the implementation of the spatial potential of small enterprises as an instrument of regional economic policy

The spatial approach to the study of the development of small enterprises is an actual scientific direction. There are gaps in the effective practical implementation of the spatial capabilities of small enterprises, which consist in fine-tuningthe system of state and municipal development of the small enterprise sector. The purpose of this study is to form practical recommendations to the authorities on the implementation of the spatial potential of small enterprises on the example of the Samara Region. The article examines the set of small enterprises of the Samara Region, taking into account the principle of joint consideration of legal entities and individual entrepreneurs based on information obtained from the publications of Federal State Statistics Service and the Unified Register of Small and Medium-sized Businesses. General scientific methods are used: analysis, logical, synthesis, as well as special methods: content analysis, program-target. Proposals for the development of small enterprises in the multi-level economic space of the region and comments on the adjustment of the institutional framework of the regional economic management system are formed on the example of the Samara Region. The scientific significance of the results obtained is to increase the validity of the regional economic policy pursued by the authorities. The practical significance of the work lies in the possibility of applying the system of strategic planning documents at the regional and sub-regional levels in the development and adjustment of the system. The recommendations made are proposed to be taken into account as additions to the regional system of strategic documents of the Samara Region.

Insights of Digital Transformation Processes in Industrial Symbiosis from the Viable Systems Approach (vSa)

The main purpose of this contribution is twofold: from a scientific point of view, to interpret the symbiotic logic through the framework of the Viable Systems approach (vSa), and from a managerial viewpoint, to provide the actors of industrial symbiosis initiatives, at any stage of their life cycle, with a guide to the most promising web-based solutions in terms of defining the best configuration for the symbiotic network. The article, therefore, aims to provide an in-depth study of the existing literature, which is still not exhaustive, and to consider synoptically and comparatively the modern platforms capable of supporting industrial symbiosis initiatives. The objective was pursued by examining 10 existing and functioning Web-based platforms, of which only a few were previously explored in the previous literature, while the recognition of the latter was carried out on a bibliometric basis to articulate in more detail the existing gap based on a panel of contributions as large as possible. The joint consideration of the literature review and the examination of the existing and functioning platforms shows an articulated framework of approaches, proposed models, and classification schemes of their functions, which allows us to conclude that given the sectoral, territorial, and specific characteristics of the materials addressed by each platform and considering the different cycles existing in eco-industrial parks (water, energy, by-products, etc.), the most promising way for their implementation is to consider multiple platforms to fully exploit the contribution of each of them. As for the management implications, the suggestion is to integrate the results obtained from the different platforms and to evaluate the configurational alternatives with multi-criteria procedures.