In this study, we have brought several knowledge management theories and practices together and have investigated the valuable aspects in each one of them. Throughout our research, we have enabled knowledge reuse to be a guiding principle and have attempted to formulate an improved method for documenting knowledge. The focus has been to create actionable and reusable knowledge presented at the right time, to the right audience in a digitally condensed format that may hopefully will lead to improved decision-making, thereby potentially driving innovation and effectively reducing overall product realization lead-time. We have explored the effect of the Engineering Checksheet concept in two separate case studies where it was implemented in a real-life setting. The concept showed positive results as a knowledge carrier both for reuse by experienced and novice users.

An algorithmic instrumentation amplifier (INA) with dynamic analog signal processing (DASP) is presented in this article. The proposed approach is based on any basic INA (BINA) subjected to a simple algorithmic operation performed by DASP. The resulting common-mode rejection ratio (CMRR) equals double squared CMRR value of the BINA, with no need for any additional matching. The prototype has been made in a discrete technique with a single supply voltage of 2.7 V. The voltage-mode INA(VMIA) with two operational amplifiers (OAs) has been used as the BINA. The measurements have been performed for six different clock pulse frequencies ranging from 30 to 80 kHz with a step of 10 kHz used in the DASP. The resulting CMRR of 90.03, 80.35, 66.48, and 53.15 dB are achieved starting from a poor CMRR of 42.52, 36.80, 30.09, and 23.76 dB of the BINA, respectively, confirming the proposed CMRR enhancement model $2\times $ CMRR [dB] +6 dB.

An optical sensor IC in 0.35-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS is presented containing a single-photon avalanche diode (SPAD) and a fast quadruple-voltage quenching circuit (QVQC). The QVQC features a fast active quenching time of 0.93 ns, a total quenching time of 1.9 ns, and an adjustable total dead time (8.6–200 ns) to reduce the afterpulsing probability (APP). To verify the quenching performance, the circuit was integrated with a 40-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> diameter SPAD. Experiments show the reduction of afterpulsing by a low detection threshold and by fast quenching with a slew rate of 13.8 GV/s. Thus, an APP of 3.2% at 27-ns dead time, a peak photon detection probability (PDP) of 67.6% at 652 nm, and a PDP of 34.7% at 854 nm were measured at 13.2-V excess bias.

The highest quality silage is produced from corn (corn silage), which is also the most common livestock feed. The lack of corn silage in livestock production can be compensated only by concentrated feed, which is usually more expensive, but this is a wellapplied practice in B&H. Therefore, the main aim of this paper was to determine the economic viability of corn silage production in B&H for the period 2014-2019. Primary data for this research were collected based on a semi-structured interview with representatives of the farm "Farma Spreča" Kalesija with a total harvested area of 500 ha. Results indicate that with total harvested area increases 61.29 %, yield increases only 6.26 %, while efficiency decreased by 6.38 % implying problems related to productivity. Based on that, corn silage production in B&H shows positive financial performances, but low yield even with a strong increase in harvested areas indicates the need for further technological and technical improvement.

This paper presents the first comprehensive tutorial on a promising research field located at the frontier of two well-established domains, neurosciences and wireless communications, motivated by the ongoing efforts to define the Sixth Generation of Mobile Networks (6G). In particular, this tutorial first provides a novel integrative approach that bridges the gap between these two seemingly disparate fields. Then, we present the state-of-the-art and key challenges of these two topics. In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to future wireless technologies in terms of new applications and systems architecture (Neurosciences for Wireless Networks), and the other on how wireless communication theory and next-generation wireless systems can provide new ways to study the brain (Wireless Networks for Neurosciences). For the first group, we explain concretely how current scientific understanding of the brain would enable new applications within the context of a new type of service that we dub brain-type communications and that has more stringent requirements than human- and machine-type communication. In this regard, we expose the key requirements of brain-type communication services and discuss how future wireless networks can be equipped to deal with such services. Meanwhile, for the second group, we thoroughly explore modern communication systems paradigms, including Internet of Bio-Nano Things and wireless-integrated brain–machine interfaces, in addition to highlighting how complex systems tools can help bridging the upcoming advances of wireless technologies and applications of neurosciences. Brain-controlled vehicles are then presented as our case study to demonstrate for both groups the potential created by the convergence of neurosciences and wireless communications, probably in 6G. In summary, this tutorial is expected to provide a largely missing articulation between neurosciences and wireless communications while delineating concrete ways to move forward in such an interdisciplinary endeavor.

Extract of Alchemilla vulgaris L. was investigated as eco-friendly corrosion inhibitor for aluminium in 3 % NaCl using electrochemical techniques. According to the results, inhibition efficiency increases with the increase concentration of extract and the highest efficiency (~80 %) is recorded for the maximal concentration of extract (1.0 g L–1). The inhibition activity of extract occurs by the spontaneous physisorption (ΔG ≈ –16 kJ mol–1) on active sites of aluminium surface that follows Freundlich isotherm. Polarization curves showed that Alchemilla vulgaris L. extract act s a mixed-type inhibitor. The effect of temperature on the aluminium corrosion and inhibition action of extract was studied and the result showed that the corrosion rate increased and the inhibitor efficiency decreased with increase of temperature. The calculated values of the activation energy confirmed presence of inhibitive Alchemilla vulgaris L. extract on aluminium surface.