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The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement.

The nanosensor-based hardware and software complex (HSC) was used for simultaneous recording of electrocardiogram, electroencephalogram and galvanic skin response during tests on volunteers using neutral questions and questions that cause excitement. The recording was carried out in real time without averaging and filtering in the extended frequency range from 0 to 10,000 Hz, level of more than 1 µV and sampling frequency equal to 64 kHz.

For the first time, the following signals were recorded by nanosensors without filtering and averaging in the measuring channels: real-time micropotentials on an electrocardiogram with a duration of 0.2 ms and a level of 1 µV or more. Also, for the first time, changes in the shape and amplitude of the P wave, slow waves on the electroencephalography (EEG), high impulse activity of the EEG and impulse activity of short duration on the GSR were recorded in response to questions that cause excitement.

The obtained results will be used for high-resolution equipment to develop additional measuring channels in existing types of equipment for psychophysiological studies.

For the first time, new data undistorted by filters was obtained on the amplitude and time parameters of electrophysiological signals in the frequency range from 0 to 10,000 Hz in response to questions that cause excitement, which was due to high sensitivity and noise immunity of nanosensors in comparison with existing electrodes for biopotential recording.

This paper explores the direct relationships between market orientation (MO), knowledge management orientation (KMO), innovative capability (IC) and supply chain resilience (SCRES). Moreover, the indirect effects of both MO and KMO on SCRES through IC are also examined.

A theoretical model developed from the extant literature was empirically validated through a cross-sectional survey of 195 manufacturing firms in Uganda during the COVID-19 pandemic. The data were analysed using partial least squares structural equation modelling (PLS-SEM).

The study found that there are positive and significant direct effects of MO and KMO on IC. KMO and IC have positive and significant effects on SCRES, while the positive relationship between MO and SCRES is non-significant. Furthermore, the results indicate that the effects of both MO and KMO on SCRES are partially mediated by IC.

Empirical evidence is provided on the antecedents of SCRES in a developing economy in the context of COVID-19. Moreover, a multidisciplinary model incorporating marketing, knowledge management and innovation literature to explain the SCRES phenomenon is validated. Further, the partial mediating role of IC is examined and confirmed.

Our nation at last seems to be rousing herself to put forth her full strength, and the organisation of industry is receiving at the hands of the new National Government no less attention than the armies that are springing into being under the magnificent direction of the new Knight of the Garter, Lord Kitchener. Hearts are beating high with hope and determination to help in every way possible in this vast effort to uphold the right, and the call comes afresh to each one of us to do everything in our power at this time of National need. In the present number we gladly publish more names of comrades who have joined the forces, but could wish they were still more numerous. Are there not others who can and who will join the noble army of heroes prepared to face the enemy in the field for faith and Motherland?

The purpose of this paper is to present an effective optimization strategy applied in a physical structure optimization of a semiconductor power metal oxide semiconductor field‐effect transistor (MOSFET), with an expensive integration constraint computation.

In order to deal with inaccuracy due to inevitable numerical errors in the objective function calculation (the power losses of the power MOSFET) and in the constraint computation, the paper proposes to use the progressive quadratic response surface method (PQRSM).

The paper focuses on four aspects: the inevitable numerical errors in the power loss and the integration constraint computation; the response surface approximation (RSA) method; the PQRSM principle; and finally the comparisons of several optimization methods applied on this application problem.

An original optimization method, PQRSM, is proposed for reducing the oscillation problem of a semi‐analytical model. The optimization results of PQRSM have been compared with the evolution strategy (ES) algorithm, with similar results but faster computation.

Drawing on resource orchestration theory, this paper aims to empirically investigate the relationships between digital transformation (DT), triple-A supply chain capabilities (i.e. agility, adaptability and alignment) and sustainable performance. The research focuses on the pharmaceutical industry, which best represents a business environment characterized by volatility, uncertainty, complexity and ambiguity.

Data were collected at different echelons of a globally oriented pharmaceutical supply chain, with the focal company located in the Netherlands. Empirical data were analyzed with partial least squares – structural equation modelling.

The findings reveal that DT enhances the triple-A supply chain capabilities. Nevertheless, not all three capabilities are necessary to improve overall sustainable performance. The results highlight that, among the three, only supply chain agility and adaptability significantly mediate the relationship between DT and sustainable performance.

This research supports the literature affirming that not all the triple-A supply chain capabilities equally affect sustainable performance. Moreover, it deepens the understanding of how orchestrating the triple-A capabilities at a firm level fosters overall sustainable performance, facing resource scarcity and investments in DT.

The purpose of this paper is to use a theoretical framework to investigate the relationships between different innovation-oriented dynamic capabilities, dynamic resilience and firm performance among logistics service providers (LSPs) and in-house logistics departments of industrial companies during the coronavirus disease 2019 (COVID-19) pandemic.

The conceptual theoretical framework relies on the dynamic capabilities framework (DCF) and the relational view (RV), which are rooted in the resource-based view (RBV). It is hypothesized that the dynamic capability to innovate reinforces the dynamic capability to adapt and to recover in highly dynamic and vulnerable environments during the pandemic. This allows LSPs to successfully create new services and respond to the changing market circumstances in terms of logistics service quality (LSQ) and firm performance. Data were collected from 83 LSPs and 30 in-house logistics departments via an online survey. The study determined the general strength and direction of the relationships between latent variables. A correlation analysis was utilized to establish statistical significance of the results.

In this study, a range of innovation-oriented capabilities for achieving more dynamic resilience were bundled in a conceptual framework and were found to be statistically significant for LSQ and firm performance. They are the capability to distribute new knowledge, to train employees effectively, to develop cross-functional collaboration within the firm, to develop inter-firm relationships with business partners on a long-term basis as well as to learn from rivals, and to pursue a win-win relationship with them.

The results of the study do not imply that the identified capabilities are the only ones relevant to increasing dynamic resilience during the pandemic. In October 2020, the COVID-19 pandemic was at different stages in different countries, so that the level to which firms were affected varied, and although the data were collected during one month only, due to the high dynamics of the pandemic, data were collected during different stages of disruptions, even among respondents in the same country. This study was set in the context of COVID-19, and it could not be proved whether the conceptual framework is generalizable to other crises or particular industries, but it would be worthwhile to examine this in the future. Finally, it was not tested whether LSQ mediates the relationship between innovative capabilities and firm performance during the pandemic.

The results help managers with regard to their strategic and operational decisions in relation with COVID-19. These findings are useful for executives and logistics managers to improve these capabilities to gain a competitive advantage during pandemic and to find their strengths and weaknesses to develop critical capabilities for situations with a high turbulence and dynamic in their environment, and therefore provide a path for improvement.

This paper operationalizes a multi-theoretical conceptual framework in the context of logistics management (LM) and supply chain management (SCM). This conceptual framework was empirically tested.

The purpose of this paper is to outline some key aspects such as material systems used, phenomenological and statistical process modeling, techniques applied to monitor the process and optimization approaches reported. All these need to be taken into account for the ongoing development of the SLM technique, particularly in health care applications. The outcomes from this review allow not only to summarize the main features of the process but also to collect a considerable amount of investigation effort so far achieved by the researcher community.

This paper reviews four significant areas of the selective laser melting (SLM) process of metallic systems within the scope of medical devices as follows: established and novel materials used, process modeling, process tracking and quality evaluation, and finally, the attempts for optimizing some process features such as surface roughness, porosity and mechanical properties. All the consulted literature has been highly detailed and discussed to understand the current and existing research gaps.

With this review, there is a prevailing need for further investigation on copper alloys, particularly when conformal cooling, antibacterial and antiviral properties are sought after. Moreover, artificial intelligence techniques for modeling and optimizing the SLM process parameters are still at a poor application level in this field. Furthermore, plenty of research work needs to be done to improve the existent online monitoring techniques.

This review is limited only to the materials, models, monitoring methods, and optimization approaches reported on the SLM process for metallic systems, particularly those found in the health care arena.

SLM is a widely used metal additive manufacturing process due to the possibility of elaborating complex and customized tridimensional parts or components. It is corroborated that SLM produces minimal amounts of waste and enables optimal designs that allow considerable environmental advantages and promotes sustainability.

The key perspectives about the applications of novel materials in the field of medicine are proposed.

The investigations about SLM contain an increasing amount of knowledge, motivated by the growing interest of the scientific community in this relatively young manufacturing process. This study can be seen as a compilation of relevant researches and findings in the field of the metal printing process.

This research aims to provide systematic insight into the current maturity of augmented reality (AR) and virtual reality (VR) in operations and supply chain management (OSCM), by analyzing the existing literature, contemporary concepts, data and gaps for future research directions.

This research uses information from existing literature regarding timeline trends, publishers, research design and method, industry engagement, geographic location, active authors and affiliated universities, concentrated topics, theories and maturity in its review. A collection of publishing databases from 1997 to 2021 were explored using the keywords “Augmented Reality,” “Virtual Reality” and “Operations” and/or “Supply Chain” in their title and abstract to examine which publications to be included. Based on the search, a total of 164 journal articles were selected, and information on a chain of variables was collected.

There has been a significant publication growth over the past 25 years regarding the adoption of AR/VR in OSCM. Key findings indicate that 52% of the publications were focused on manufacturing, with only 10% of the existing literature using background theories. AR/VR can be observed at the introduction and growth phase and have yet to reach their maturity. Furthermore, there is limited utilization of AR/VR as drivers in facilitating sustainable practices in OSCM by academics and practitioners, albeit a strong promise exists. Finally, the prospective applications of AR/VR toward post-COVID-19 supply chains recovery require special attention.

This systematic review is limited to considering only academic articles available from Emerald, Elsevier, Taylor and Francis, Springer, Scopus, JSTOR and EBSCO containing the keyword parameters.

The study used a bibliometric review to identify the trends and maturity in the evolution of AR/VR in OSCM. This research provides a better understanding of current research practices and offers directions toward the adoption of AR/VR in OSCM.

THE recently founded Bulgarian Bibliographical Institute has produced three publications of great interest. The first of these, by Dr. T. Borov, the Director of the Institute and of the National Library of Sofia, Why do we need a Bulgarian Bibliographical Institute?, was published in 1941, before the foundation of the Institute, and, as its sub‐title indicates, is ‘an address to friends’. In it Dr. Borov reviewed briefly the position of Bulgarian bibliography and set forth what he considered should be the aims of the Institute.