Tramadol hydrochloride/paracetamol is an opioid that is composed of two different analgesics, tramadol (opioid, 37.5 mg) and paracetamol (non opioid, 325 mg). The study presents first data of tramadol hydrochloride/paracetamol effects on haematological parameters and glucose levels in Wistar rats. Oral administration ad libitum of tramadol hydrochloride/paracetamol was administered during a twenty days period. This research includes two groups of animals. Group I include animals that were administered tramadol hydrochloride/paracetamol daily at dosage of 1.12 g/300 ml and group II that were administered daily at dosage of 1.68 g/300 ml of water. We analayzed 14 haematological parameters and glucose concentration. Significant changes were established for all analyzed parameters. Significantly low numbers of erythrocytes, leukocytes and lymphocytes were observed. Tramadol hydrochloride/paracetamol has an extremely negative effect on haematological parameters in Wistar rats, particularily on the blood coagulation due to the thrombocitopenia, anaemia and weakened immunity. If properly administered, tramadol hydrochloride/paracetamol can be an effective analgesic but at high dosage and over a prolonged period it may cause adverse effects in Wistar rats.

Aligning thousands of images from serial imaging techniques can be a cumbersome task. Methods ([2, 11, 21]) and programs for automation exist (e.g. [1, 4, 10]) but often need case-specific tuning of many meta-parameters (e.g. mask, pyramid-scales, denoise, transform-type, method/metric, optimizer and its parameters). Other programs, that apparently only depend on a few parameter often just hide many of the remaining ones (initialized with default values), often cannot handle challenging cases satisfactorily. Instead of spending much time on the search for suitable meta-parameters that yield a usable result for the complete image series, the described approach allows to intervene by manually aligning problematic image pairs. The manually found transform is then used by the automatic alignment as an initial transformation that is then optimized as in the pure automatic case. Therefore the manual alignment does not have to be very precise. This way the worst case time consumption is limited and can be estimated (manual alignment of the whole series) in contrast to tuning of meta-parameters of pure auto-alignment of complete series which can hardly be guessed.

Automatic modulation classification (AMC) is an essential technology for the non-cooperative communication systems, and it is widely applied into various communications scenarios. In the recent years, deep learning (DL) has been introduced into AMC due to its outstanding identification performance. However, it is almost impossible to implement previously proposed DL-based AMC algorithms without large number of labeled samples, while there are generally few labeled sample and large unlabel samples in the realistic communication scenarios. In this paper, we propose a transfer learning (TL)-based semi-supervised AMC (TL-AMC) in a zero-forcing aided multiple-input and multiple-output (ZF-MIMO) system. TL-AMC has a novel deep reconstruction and classification network (DRCN) structure that consists of convolutional auto-encoder (CAE) and convolutional neural network (CNN). Unlabeled samples flow from CAE for modulation signal reconstruction, while labeled samples are fed into CNN for AMC. Knowledge is transferred from the encoder layer of CAE to the feature layer of CNN by sharing their weights, in order to avoid the ineffective feature extraction of CNN under the limited labeled samples. Simulation results demonstrated the effectiveness of TL-AMC. In detail, TL-AMC performs better than CNN-based AMC under the limited samples. What’s more, when compared with CNN-based AMC trained on massive labeled samples, TL-AMC also achieved the similar classification accuracy at the relative high SNR regime.

In this paper, we presented a logistic regression model that we applied for assessment of the users’ quality of experience with web browsing service over mobile network. With this regard, we chose the Average-Time-to-Connect-TCP network service quality parameter as an independent predictor, obtained by passive monitoring of live traffic data, captured by a passive probe on the mobile network Gn interface, and related to detailed records of the Transport Control Protocol. In parallel with in-service measuring the selected network parameter, we conducted simultaneous subjective tests of the quality of experience acceptability to users, specifically for web browsing service. Particularly, it was found that the model provided correct acceptability classification in 84.5% of cases, while reducing the chosen independent predictor for 100 ms implied increasing the chance of the service acceptability by factor of 1.65. Based on the obtained results, it comes out that the applied logistic regression model provides satisfactory estimation of the web browsing service quality experience acceptability.

Management literature proposes several broad categories of business motives behind Knowledge Management (KM) initiatives: minimising risk, improving efficiency and effectiveness and enabling innovation. While risk minimisation and efficiency and effectiveness improvement are fundamental for organisational survival, innovation is the key for organisational advancement and long-term economic success. Choosing the right KM strategy is of utmost importance for organisational performance. On the one hand, two popular Knowledge Management strategies termed codification and personalisation differ in their reliance on technology or people. On the other hand, two strategies referred to as exploitation and exploration differ in their focus on transferring existing or developing new knowledge. This study aims to examine the main business forces in KM adoption and to identify preferred KM strategies responsively. More specifically, it aims to provide a metric in determining (1) applied and realised KM strategies, (2) business focus, (3) knowledge processes and (4) knowledge focus. Data, collected from 372 surveyed employees of Turkish organisations across different industries, were analysed in terms of the two key classes of KM drivers and strategies. The findings reveal a widespread tendency for simultaneous pursuance of dual survival and advancement business goals and widespread integration of codification and personalisation as well as exploitation and exploration strategies. The findings validate the ability of Turkish firms in the organisation of KM activities through the combination of somewhat contradictory drivers and strategies implying their ambidexterity regarding considered KM strategies.

Introduction The SARS-CoV-2 pandemic has hit the European region disproportionately. Many HIV clinics share staff and logistics with infectious disease facilities, which are now on the frontline in tackling COVID-19. Therefore, this study investigated the impact of the current pandemic situation on HIV care and continuity of antiretroviral treatment (ART) supplies in CEE countries. Methods The Euroguidelines in Central and Eastern Europe (ECEE) Network Group was established in February 2016 to review standards of care for HIV in the region. The group consists of professionals actively involved in HIV care. On March 19, 2020 we decided to review the status of HIV care sustainability in the face of the emerging SARS-CoV-2 pandemic in Europe. For this purpose, we constructed an online survey consisting of 23 questions. Respondents were recruited from ECEE members in 22 countries, based on their involvement in HIV care, and contacted via email. Results In total, 19 countries responded: Albania, Armenia, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, Georgia, Greece, Hungary, Lithuania, Macedonia, Poland, Republic of Moldova, Russia, Serbia, Turkey, and Ukraine. Most of the respondents were infectious disease physicians directly involved in HIV care (17/19). No country reported HIV clinic closures. HIV clinics were operating normally in only six countries (31.6%). In 11 countries (57.9%) physicians were sharing HIV and COVID-19 care duties. None of the countries expected shortage of ART in the following 2 weeks; however, five physicians expressed uncertainty about the following 2 months. At the time of providing responses, ten countries (52.6%) had HIV-positive persons under quarantine. Conclusions A shortage of resources is evident, with an impact on HIV care inevitable. We need to prepare to operate with minimal medical resources, with the aim of securing constant supplies of ART. Non-governmental organizations should re-evaluate their earlier objectives and support efforts to ensure continuity of ART delivery.

Quem sao os bebes? Essa e tantas outras perguntas instigaram o trabalho realizado com os bebes em tres creches municipais. Trata-se de um projeto vinculado ao PIBID - Programa Institucional de Bolsa de Iniciacao a Docencia. Nele foram organizados diferentes contextos educativos no intuito nao apenas de instigar a curiosidade, fantasia, imaginacao e inventividade dos bebes, potencializando suas experiencias, mas, tambem, instigar a propria curiosidade dos(as) estudantes, educadores(as) e pesquisadores(as) acerca dos bebes e suas producoes culturais. Como resultado foi possivel repensar a docencia com os bebes tendo-os como interlocutores privilegiados na construcao de uma pratica pedagogica dialogica, o que exigiu dos(as) adultos(as) silenciarem-se para entao escuta-los e com eles tambem aprender.