The aim of the paper was to determine the perception of parental support and understanding by deaf and hard-of-hearing students. The sample consisted of 47 deaf and hard-of-hearing students, both genders, with an average age of 16 ± 1.27 years. Children's Perceptions of Parents Scale, (Grolnick, Ryan & Deci, 1991), which consists of three subscales, and which measure parental involvement, support of autonomy and parental warmth, especially for the mother, especially for the father was used in this research. The data were processed by descriptive analysis, and the t-test was used to test the mother's support perception difference in relation to father’s support perception. The results showed that deaf and hard-of-hearing students mostly positively perceived the parent involvement, support of autonomy and warmth of both parents, but a statistically significant difference in the individual perception of parents was found in favor of the mothers.

Orthogonal frequency-division multiplexing (OFDM) is a popular multi-carrier technique used in many digital communication systems such as wireless fidelity (Wi-Fi), long term evolution (LTE) and power line communication systems. It can be designed using fast Fourier transform (FFT) or wavelet transform (WT). The major drawback in using WT is that it is computationally inefficient. In this study, we introduce a simple and computationally efficient WT, harmonic wavelet transform, for OFDM signal processing. The new WT uses the orthogonal basis functions of conventional FFT-OFDM except that it involves translation and dilation of the input signal; the new wavelets is referred to as harmonic wavelets (HW). When compared with pilot-assisted OFDM system in terms of reduction in the peak-to-average power ratio, the results show that HW-OFDM outperforms FFT-OFDM by 3 dB at 10−4 CCDF (complementary cumulative distribution function). Over Rayleigh fading channel with additive white Gaussian noise (AWGN), the bit error ratio of both FFT-OFDM and HW-OFDM perfectly matched, showing that the proposed HW-OFDM is better in terms of peak-to-average power ratio reduction.

The rapid growth of Internet-of-Things (IoT) in the current decade has led to the development of a multitude of new access technologies targeted at low-power, wide area networks (LP-WANs). However, this has also created another challenge pertaining to technology selection. This paper reviews the performance of LP-WAN technologies for IoT, including design choices and their implications. We consider Sigfox, LoRaWAN, WavIoT, random phase multiple access (RPMA), narrowband IoT (NB-IoT), as well as LTE-M and assess their performance in terms of signal propagation, coverage and energy conservation. The comparative analyses presented in this paper are based on available data sheets and simulation results. A sensitivity analysis is also conducted to evaluate network performance in response to variations in system design parameters. Results show that each of RPMA, NB-IoT, and LTE-M incurs at least 9 dB additional path loss relative to Sigfox and LoRaWAN. This paper further reveals that with a 10% improvement in receiver sensitivity, NB-IoT 882 MHz and LoRaWAN can increase coverage by up to 398% and 142%, respectively, without adverse effects on the energy requirements. Finally, extreme weather conditions can significantly reduce the active network life of LP-WANs. In particular, the results indicate that operating an IoT device in a temperature of −20 °C can shorten its life by about half; 53% (WavIoT, LoRaWAN, Sigfox, NB-IoT, and RPMA) and 48% in LTE-M compared with environmental temperature of 40 °C.

Network slicing, a key enabler for future wireless networks, divides a physical network into multiple logical networks that can be dynamically created and configured. In current IEEE 802.11 (Wi-Fi) networks, the only form of network configuration is a rule-based optimization of few parameters. Future access points (APs) are expected to have self-organizational capabilities, able to deal with large configuration spaces in order to dynamically configure each slice. Deep Reinforcement Learning (DRL) can achieve promising results in highly dynamic and complex environments without the need for an operating model, by learning the optimal strategy after interacting with the environment. However, since the number of possible slice configurations is huge, achieving the optimal strategy requires an exhaustive learning period that might yield an outdated slice configuration. In this paper, we propose a fast-learning DRL model that can dynamically optimize the slice configuration of unplanned Wi-Fi networks without expert knowledge. Enhanced with an off-line learning step, the proposed approach is able to achieve the optimal slice configuration with a fast convergence, which is attractive for dynamic scenarios.

We investigate strong-field ionization of linear molecules by a two-color laser field of frequencies rω and sω having coplanar counterrotating or corotating elliptically polarized components (ω is the fundamental laser field frequency and r and s are integers). Using the improved molecular strong-field approximation we analyze direct above-threshold ionization (ATI) and high-order ATI (HATI) spectra. More precisely, reflection and rotational symmetries of these spectra for linear molecules aligned in the laser-field polarization plane are considered. The reflection symmetries for particular molecular orientations, known to be valid for a bicircular field (this is the field with circularly polarized counterrotating components), are valid also for arbitrary component ellipticities. However, specific rotational symmetries that are satisfied for HATI by a bicircular field, are violated for an arbitrary elliptically polarized field with counterrotating components. For the corotating case and the N2 molecule we analyze molecular-orientation-dependent interferences and plateau structures for various ellipticities.

Dr. Bruno von Curinaldi, came to Mostar from Zadar (Croatia) and started to work as Director of Mostar hospital in 1879 (1-3). In that time in Mostar also worked Dr. Franjo Hus (died in Mostar 1940), Dr. Otto Weiss (came to Mostar in 1882 from Bilroth’s hospital in Vienna, and in 1894 he moved to State hospital in Sarajevo to chair Gynaecology-Obstretics department), Dr. William Tonner (from Prague, well known as physician who treated poor people in Mostar free of charge (written in journal "Novi hercegovacki bosiljak" in 1885) (4), Dr. Fakete Samule (from Hungary, died in Mostar due to infection when performing autopsy), Dr. Trepeljka and Dr. Kestner (worked in 1886, during epidemic of cholera in Mostar), Dr. Braun, Dr. Herman, Dr. Koralek, Dr. Tausig (all of them physicians in Military hospital in Mostar), Dr. Moritz Englander (surgeon), Dr. Drago Mesliger, Dr. Kohn, Dr. Goldfarb, Dr. Franjo Bulat (famous physician, but also musician, Director of “Hrvatska glazba” in Mostar which organized a lot of concerts in Mostar, died in 1947), Dr. Gotfrid Holer, Dr. Pollacek. From Vienna to Mostar sometime was coming famous ophtalmologist Dr. Dragutin Heinzel (worked at Clinic of professor Fuchs), Dr. Jerko Bulat, son of Franjo Bulat spent his work time in Mostar. Dr. Nikola Grazetic also was engaged in Mostar’s cultural manifestations with Franjo Bulat (4).

1University Clinical Center Sarajevo, Sarajevo School of Science of Technology, Sarajevo, Bosnia and Herzegovina 2University Clinical Center Sarajevo, Sarajevo, Bosnia and Herzegovina KeYWORdS: prosthetic valve thrombosis, thrombolytic drug. citAtiON: Cardiol Croat. 2019;14(3-4):47. | https://doi.org/10.15836/ccar2019.47 *AddReSS FOR cORReSPONdeNce: Behija Hukeljić Berberović, Klinički centar Univerziteta u Sarajevu, Bolnička 25, 71000 Sarajevo, Bosnia and Herzegovina. / Phone: +387-33-297941. Fax: +387-33-298-522 / E-mail: behijaberberovic@yahoo.com ORcid: Behija Hukeljić Berberović, https://orcid.org/0000-0001-9583-4523 • Nermir Granov, https://orcid.org/0000-0002-6228-6230 Zina Lazović, https://orcid.org/0000-0002-0285-9631 • Lejla Divović, https://orcid.org/0000-0002-7953-9601 Omer Perva, https://orcid.org/0000-0003-2645-1558

CONCLUSION: The data suggest that 3 days of voice rest followed by voice therapy may lead to better wound healing of the vocal fold compared to 7 days of voice rest. METHODS: Patients undergoing phonomicrosurgery for leukoplakia, carcinoma in situ, vocal fold polyp, Reinke's edema, and cyst were chosen. Participants were randomly assigned to voice rest for 3 or 7 postoperative days. Voice therapy was administered to both groups after voice rest. Grade, roughness, breathiness, asthenia, and strain (GRBAS) scale, stroboscopic examination and Voice Handicap Index-10 (VHI-10) were performed pre- and postoperatively at 1, 3, and 6 months. Stroboscopic examination evaluated normalized mucosal wave amplitude (NMWA). Parameters were compared between both groups. RESULTS: Thirty patients were analyzed (3-day group, n = 18; 7-day group, n = 12). Jitter, shimmer, and VHI-10 were significantly better in the 3-day group at 1 month post operation. GRBAS was significantly better in the 3-day group at 1 and 3 months post operation, and NMWA was significantly better in the 3-day group at 1, 3, and 6 months post operation compared to the 7-day group.

This is the first study on ultrasound-assisted extraction (UAE) of bioactive compounds from different types of tobacco industry wastes (scrap, dust, and midrib). The obtained results were compared with starting raw material (tobacco leaves) to see the changes in bioactive compounds during tobacco processing. Results suggested that tobacco waste extracts possess antioxidant activity and considerable amounts of targeted bioactive compounds (phenolics and solanesol). The content of chlorogenic acid varied between 3.64 and 804.2 μg/mL, caffeic acid between 2.34 and 10.8 μg/mL, rutin between 11.56 and 93.7 μg/mL, and solanesol between 294.9 and 598.9 μg/mL for waste and leaf extracts, respectively. There were noticeable differences between bioactive compounds content and antioxidant activity in extracts related to applied UAE conditions and the used type of tobacco waste. Results show that optimal UAE parameters obtained by response surface methodology (RSM) were different for each type of material, so process optimization proved to be necessary. Considering that tobacco waste is mostly discarded or not effectively utilized, the results clearly show that tobacco waste could be used as a potential source of some bioactive compounds.