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.

The extent to which societies will globally be able to adapt to climate change is not well understood. Here we analyze socioeconomic dimensions of adaptive capacity of populations to deal with heat stress and find income, urbanization and income inequality to be important factors in explaining adaptation to heat stress with air conditioning (AC). Using the scenario framework of the Shared Socioeconomic Pathways (SSPs), we estimate the future cooling gap, which represents the difference between the population exposed to heat stress and the population able to protect against heat stress with AC. Depending on the scenario of socioeconomic development, total population affected by the cooling gap may vary between 2 billion and 5 billion people in 2050, with the scenario-dependent range widening further towards the end of the century. Our analysis shows vast regional inequalities in adaptive capacity for one of the most universal manifestations of climate change, underscoring the need to account for the different potential levels of adaptive capacity in assessments of climate change impacts.

The purpose of this paper is to examine the relationship between ?soft? support infrastructure (SSI) and the performance of small and medium enterprises (SMEs). The study encompasses European countries? economic activity and SMEs? output in 2015 and 2018. The focus of the research is SMEs in the European Union member states and the Western Balkan countries. The analysis was conducted using partial least squares structural equation modelling (PLS-SEM). This method enabled the examination of links between variables that are not directly observable. The results show that countries investing in SSI have better SME performance. Based on the statistical analysis, among other things, the authors identify the Human Development Index and the use of information and communication technology at the company level as the two most significant factors that impact on SMEs? performance.

Industry 4.0 is being enabled by a number of new wireless technologies that emerged in the last decade, aiming to ultimately alleviate the need for wires in industrial use cases. However, wireless solutions are still neither as reliable nor as fast as their wired counterparts. Closed loop communication, a representative industrial communication scenario, requires high reliability (over 99%) and hard real-time operation, having very little tolerance for delays. Additionally, connectivity must be provided over an entire industrial side extending across hundreds of meters. IEEE 802.11ah fits this puzzle in terms of data rates and range, but it does not guarantee deterministic communication by default. Its Restricted Access Window (RAW), a new configurable medium access feature, enables flexible scheduling in dense, large-scale networks. However, the standard does not define how to configure RAW. The existing RAW configuration strategies assume uplink traffic only and are dedicated exclusively to sensors nodes. In this article, we present an integer nonlinear programming problem formulation for optimizing RAW configuration in terms of latency in closed loop communication between sensors and actuators, taking into account both uplink and downlink traffic. The model results in less than 1% of missed deadlines without any prior knowledge of the network parameters in heterogeneous time-changing networks.

Abstract Ten species of the louse genus Myrsidea belonging to the “serini-species-group” have been reviewed. A redescription of Myrsidea quadrifasciata (Piaget, 1880), the earliest described and valid species of this species complex, is given and a neotype for this species is designated. Nine new junior synonymies of M. quadrifasciata are proposed and discussed. The new synonyms and their respective type hosts are: Myrsidea anoxanthi Price and Dalgleish, 2007 from Loxipasser anoxanthus (Gosse, 1847), Myrsidea argentina (Kellogg, 1906) from Spinus magellanicus (Vieillot, 1805), Myrsidea balati Macháček, 1977 from Passer montanus (Linnaeus, 1758), Myrsidea darwini Palma and Price, 2010 from Geospiza fuliginosa Gould, 1837, Myrsidea major (Piaget, 1880) from Plectrophenax nivalis (Linnaeus, 1758), Myrsidea serini (Séguy, 1944) from Serinus serinus (Linnaeus, 1766), Myrsidea queleae Tendeiro, 1964 from Quelea quelea lathami (Smith, A., 1836), Myrsidea textoris Klockenhoff, 1984 from Ploceus cucullatus cucullatus (Müller, 1776), and Myrsidea viduae Tendeiro, 1993 from Vidua macroura (Pallas, 1764). Intraspecific morphometric variability, relative genetic divergence (based on a 379 bp portion of the mitochondrial COI gene and a 347 bp portion of the nuclear EF-1α gene), geographical distribution, and host associations, including 8 new host records for these lice, are discussed. Taking into consideration these parameters we suggest that the only way to deal with these taxa is to follow concept of subspecies with the following taxa and their geographic distributon: Palearctic Region: M. q. quadrifasciata and M. q. serini, Neotropical Region: M. q. anoxanthi, M. q. argentina, M. q. darwini, Paleotropic Region: M. q. queleae, M. q. textoris and M. q. viduae.