Abstract An extensive review of the literature on the diagnostic and clinical accuracy of Kurjak’s antenatal neurodevelopmental test (KANET) and the summarized results of the multi-center study involving 10 centers revealed that four-dimensional ultrasonography (4D US) has become a powerful tool and KANET a valuable test that empowers the clinicians worldwide to evaluate the fetal behavior in a systematic way and contribute to the detection of fetuses that might be at high risk for neurological impairments and in particular cerebral palsy (CP). After 10 years of clinical use, many published papers and multi-center studies, hundreds of trained physicians and numerous tests performed all over the world, KANET has proven its value and has been showing encouraging results so far. The aim of this paper is to show the results from the studies done so far and to reveal the clinical value of the KANET. We expect that data from the larger ongoing collaborative study, the short- and long-term postnatal follow-up will continue to improve our knowledge. Ultimately, we all strive to prevent the CP disorders, autism spectrum disorder (ASD) and other neurological impairments and we are convinced that KANET might be helpful in the realization of this important aim.

A fully integrated single-photon avalanche diode (SPAD) using a controllable fast mixed quenching and active resetting circuit (QRC) fabricated in a $0.35-\mu\mathrm{m}$ high-voltage CMOS process is presented in this paper. The QRC features a fast active quenching time of 0.52 ns and a minimum dead-time of 4.57 ns, which corresponds to a maximum count rate of 218 Mcps. To validate the quenching performance, the circuit was integrated together with a large-area SPAD having an active diameter of $90\ \mu\mathrm{m}$ with a capacitance of 150 fF. A pad for a pico-probe was integrated on the chip, leading to a total capacitive load of 275 fF in SPAD cathode's node during transient measurements.

This study analyzes farm households’ adaptation in a broad livelihood context, showing how both household internal dynamics and broader external factors, such as agro-ecological, climatic, and institutional economic and political frame conditions, influence both the perception of and adaptation to climate variations and change. Nearly a third of the households in Bosnia and Herzegovina (BH) are engaged in agriculture as one livelihood strategy to cope with the multiple shocks experienced over the past three decades, resulting in economic decline and loss of income opportunities. Based on a household survey, we analyzed the livelihoods of households in three agricultural regions in BH: how they are affected by climate change, their perceptions of climatic change, as well as various household adaptation strategies. The results were discussed in the context of the sustainable livelihoods approach. Our results indicate that rural households are relatively asset poor and highly dependent on agriculture, irrespective of geographical location or wealth. Their access to assets is further constrained by the ongoing changes in economic and political structures and processes. Negative effects of climate change were reported in terms of yield decline and reduced quality of products. On a positive note, the level of adoption of different agricultural practices and technologies indicates signs of an overall intensification strategy of agricultural production in BH, as well as adaptation to the perceived changes in climate and climate variability using the available asset base.

suitable institutional frameworks for climate change governance in forestry and nature conservation needs additional attention especially in the field of multilevel coordination between different actors and their activities, as well as the acknowledgment of potentially significant influence forestry sector might have in climate change governance.

This paper presents the analysis of the wind effect of four-side sunshade construction. The aim of the paper is to demonstrate the possibility of applying analogy in research, with examples from civil constructions, in order to simplify and reduce the analysis. The paper presents the analytical calculation of the pressure on the sides of the four-sided sunshade, analogously to the calculation of pressure on the four-sided roofs of civil construction objects.

Lifting table has been designed and developed through the concept of Learning Factory (LF) at the University of Mostar. The idea for lifting table design has come from the local industry needs for a lifting platform that should lift a man and/or load at a certain height. For safety reasons, design is checked under the loading using a method of finite element analysis. The paper predicts and explains methodology for structural analysis used in presented case study. Results of FEM analysis are basis for making ways and guidelines to optimize current design in order to get optimal parameters for weight, stability, capacity, mobility and layout of the lifting table.

Analysis of planar or spatial mechanisms as segments of real complex systems and machines in the domain of kinematics, kinetostatic, dynamic, functional and other aspects of analysis can be done by analytical methods and by applying contemporary software applications. This paper shows some examples of complex mechanism analysis using SolidWorks software, which provides a special module for quick analysis with a visual representation of characteristic data mechanism for different members position as a diagrammatic representation of certain parameters throughout the observed motion cycle. Such representations are very useful in designing mechanisms in the manner of analysis or synthesis. Analysis of characteristic points of moving members of the mechanism with the presentation of its path during the motion cycle, the analysis of velocity and acceleration vectors of members’ moving points, forces on the members of the mechanism, definition of the moment or force on the drive member of the mechanism, the path of the executive member of the mechanism, the possibility of collision in the movement of the members of the mechanism, the geometry of the members of the mechanism based on the required path of the movement of the executive member of the mechanism, etc., are only some of the possible areas of analysis.

several microorganisms of Gram-negative of the monocytogenes,

Graphs are irregular structures that naturally represent the multifaceted data attributes; however, traditional approaches have been established outside signal processing and largely focus on analyzing the underlying graphs rather than signals on graphs. Given the rapidly increasing availability of multisensor and multinode measurements, likely recorded on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured data as "signals on graphs" and thus benefit from the ability of graphs to incorporate spatial sensing awareness, physical intuition, and sensor importance, together with the inherent "local versus global" sensor association. The aim of this lecture note is, therefore, to establish a common language between graph signals that are observed in irregular signal domains and some of the most fundamental paradigms in digital signal processing (DSP), such as spectral analysis, system transfer function, digital filter design, parameter estimation, and optimal denoising.

Graphs are irregular structures that naturally represent the multifaceted data attributes; however, traditional approaches have been established outside signal processing and largely focus on analyzing the underlying graphs rather than signals on graphs. Given the rapidly increasing availability of multisensor and multinode measurements, likely recorded on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured data as "signals on graphs" and thus benefit from the ability of graphs to incorporate spatial sensing awareness, physical intuition, and sensor importance, together with the inherent "local versus global" sensor association. The aim of this lecture note is, therefore, to establish a common language between graph signals that are observed in irregular signal domains and some of the most fundamental paradigms in digital signal processing (DSP), such as spectral analysis, system transfer function, digital filter design, parameter estimation, and optimal denoising.