Poland and Broader Middle East-Relations, Initiatives and Prospects for Action

"Poland’s relations with the BMENA region have evolved over the last decade or so: they were relatively intensive before 1989, which was followed by a break caused by refocusing the state’s efforts on political and economic transformation and pursuit of its intemational aspirations, whereas sińce late 1990s there has been a growing interest in co-operation with BMENA countries."(...

Analysis of Factors Influencing the Prices of Tourist Offers

Tourism is a significant branch of many world economies. Many factors influence the volume of tourist traffic and the prices of trips. There are factors that clearly affect tourism, such as COVID-19. The paper describes the methods of machine learning and process mining that allow for assessing the impact of various factors (micro, mezzo and macro) on the prices of tourist offers. The methods were used on large sets of real data from two tour operators, and the results of these studies are discussed in this paper. The research presented is part of a larger project aiming at predicting trip prices. It answers the question of which factors have the greatest impact on the price and which can be omitted in further work. Nevertheless, the dynamic world situation suggests that the ranking of factors may change and the presented universal methods may provide different results in the coming years

Keystroke Dynamics Patterns While Writing Positive and Negative Opinions

This paper deals with analysis of behavioural patterns in human–computer interaction. In the study, keystroke dynamics were analysed while participants were writing positive and negative opinions. A semi-experiment with 50 participants was performed. The participants were asked to recall the most negative and positive learning experiences (subject and teacher) and write an opinion about it. Keystroke dynamics were captured and over 50 diverse features were calculated and checked against the ability to differentiate positive and negative opinions. Moreover, classification of opinions was performed providing accuracy slightly above the random guess level. The second classification approach used self-report labels of pleasure and arousal and showed more accurate results. The study confirmed that it was possible to recognize positive and negative opinions from the keystroke patterns with accuracy above the random guess; however, combination with other modalities might produce more accurate results

Analysis of Factors Influencing the Prices of Tourist Offers

Tourism is a significant branch of many world economies. Many factors influence the volume of tourist traffic and the prices of trips. There are factors that clearly affect tourism, such as COVID-19. The paper describes the methods of machine learning and process mining that allow for assessing the impact of various factors (micro, mezzo and macro) on the prices of tourist offers. The methods were used on large sets of real data from two tour operators, and the results of these studies are discussed in this paper. The research presented is part of a larger project aiming at predicting trip prices. It answers the question of which factors have the greatest impact on the price and which can be omitted in further work. Nevertheless, the dynamic world situation suggests that the ranking of factors may change and the presented universal methods may provide different results in the coming years

A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

In recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones, the variety of their built-in sensors, as well as the availability of cloud computing services have made them an environment in which the task of recognising emotions can be performed at least as effectively. This is possible and particularly important due to the fact that smartphones and other mobile devices have become the main computer devices used by most people. This article provides a systematic overview of publications from the last 10 years related to emotion recognition methods using smartphone sensors. The characteristics of the most important sensors in this respect are presented, and the methods applied to extract informative features on the basis of data read from these input channels. Then, various machine learning approaches implemented to recognise emotional states are described

Differentiating of cross-reactions in patients with latex allergy with the use of ISAC test

Introduction : Differentiating between cross-reactivity and double sensitization is still a challenging issue in allergology. Aim : To differentiate cross-reactions accompanying latex allergy with the use of the ISAC test. Material and methods : Thirty-nine patients reporting immediate allergic reactions to latex were enrolled into the study (group A). The control group was comprised of 41 patients with allergic diseases not associated with latex (group B) and 20 healthy individuals (group C). Their history was recorded and skin prick tests were performed with latex, airborne and food allergens. Specific IgE against food allergens, latex (k82) and recombined latex allergens were determined. Immun o CAP ISAC test was performed with 103 molecules. Results : Sensitization to latex was found by means of skin tests in 16 cases and sIgE against latex was revealed in 12 cases (including 10 positive in both SPT and sIgE). In the ISAC test antibodies against recombined latex allergens were found in 8 patients with rHev β 6 as the most common. All the patients positive for rHev β 1, 5, 6, 8 had allergy or asymptomatic sensitization to food allergens cross-reacting with latex. Some reactions could not have been differentiated due to the lack of allergens in the ISAC test. Others, not related to latex-fruits syndrome were explained by cross-reactivity with other profilins or PR-10 proteins. Conclusions : Immun o CAP ISAC test could be useful in differentiating between cross-reactions and double sensitizations. However, in the case of latex its advantages are limited due to a small panel of allergens