A current-mode interface (CMI) with mixed single/dual slope integration (MSDSI) for differential capacitive sensors (DCSs) is presented in this article. The proposed design is based on the integration of the reference current flowing through the capacitors of the DCS. The integration of the capacitor of a smaller capacitance is performed with a dual slope. Contrary, the integration on the capacitor of a larger capacitance is performed with only one slope. The normalized differential capacitance (NDC) defined as the difference-to-sum ratio of the DCS capacitances is proportional to the duration of only one time interval which is digitized using the counting method. There is no need for postprocessing in the proposed NDC-to-time-to-digital conversion. It has been prototyped using discrete off-the-shelf components mounted on a printed circuit board, with a single supply voltage of 3.3 V. The measured NDC is in the range $|\text {NDC}| < 0.612$ , with the constant sum of DCS capacitances of 970 pF. Achieved full-scale error is smaller than 0.3%, with a range of conversion speed from 1770 to 2755 NDC-to-time-to-digital conversions per second.

An <italic>RC</italic> -to-digital converter (RCDC) for the measurement of the <italic>RC</italic> time constant of the resistor and capacitor connected in series is presented in this article. A simple RCDC design insensitive to parasitic capacitances is based on the single-slope integration. The output voltage of the integrator is linearly changed from half the value of the reference voltage to its final value. The <italic>RC</italic> time constant is equal to the duration of the single-slope integration and is independent of any other parameter. The proposed RCDC has been prototyped using discrete off-the-shelf components mounted on a printed circuit board, with a single supply voltage of 2.7 V. Measurements have been performed for 36 different combinations of the resistors and capacitors connected in series, where the measured time constant is in the range <inline-formula> <tex-math notation="LaTeX">$45.77 \mu \text{s} < $ </tex-math></inline-formula> <italic>RC</italic> < 2.32 ms, for three different reference voltages. The achieved relative error is smaller than 1.96% for the largest reference voltage used.

We study nonlinear networked control systems (NCS), where the controller is implemented over multiple processors via an emulation-based approach. We start with a stable and centralised NCS commonly considered in the literature. Then, we show how to implement the centralised controller over multiple processors inspired by parallel computing techniques, so that stability is preserved (semi-globally and practically) under sufficiently fast computations. An example is given to illustrate the main results.

Faced with a changing business environment and increasing competition, enterprises have started looking for innovative solutions be­yond hierarch organizational boundaries. The community of crowds can be employed as a valuable factor in an enterprise’s innovation process to cre­ate value and upgrade its knowledge base. The present paper seeks to un­derstand the role of the crowdsourcing mechanism through the intellectu­al capital framework, resulting in a renewed knowledge base. The model was empirically tested using a data set obtained through a questionnaire fulfilled by representatives of enterprises in the Republic of Srpska, Bosnia and Herzegovina, using partial least squares structural equation modelling. The findings reveal that crowdsourcing causes significant linkages between intellectual capital dimensions among which crowdsourcing-human cap­ital and crowdsourcing-structural capital contribute more to enterprise re­newal of knowledge base. Research results could assist managers in strate­gic decisions in resource allocation in promoting and sustaining knowledge dissemination to increase the renewal capability of enterprises.

The article presents the contribution of socio-demographic, socio-economic, employment status and level of education of parents/guardians to students’ school success. The aim of this article is to discover the causes of school (un)success given the contribution of predictor variables. The predictor set of variables consists of four scales: socio-demographic status (total number of brothers, total number of sisters, marital status of parents, distance from home to school and number of members households), socio-economic status (total monthly income of parents/guardians, place to study in the house/apartment, possession of laptop/computer, constant internet access in the house/apartment and the way they come to school), employment status of parents/guardian and educated status of parent/guardian. In addition to the set of predictors, a criterion variable was used, which consists of three dimensions, namely school success at the end of the sixth, seventh and eighth grade of primary school. The results of the research confirm a statistically significant correlation between socio-demographic, socio-economic, employment status and the level of education of parents/guardians and school success of children, provided that socio-demographic status has a higher predictive power on students’ school success. It was confirmed that students have a positive attitude about the importance of the grade as well as that they perceive that their parents have the same attitude.

the most important precondition for designing green strategies and policies, and elements of that can be recognized in the current socio-political life in BiH.