Impact of Hate Speech on Building the Value of Pro-Social Activities. Perspective of Author and Social Media User

Theoretical background: The value of a given project (including those of a pro-social nature) is determined by a number of factors, not only those of a financial nature. Within the corporate social responsibility concept, ethics was indicated as one of the factors influencing the value of the project. Currently, one of the problems in the field of ethics is the widespread online hate speech, affecting also the effectiveness of the processes of building the value of pro-social activities that fit into the concept of social marketing. Hate speech has come to form a significant portion of online communication. Only in the first quarter of 2022, Facebook removed 15.1 million pieces of content with hate speech, constituting only a minor part of the problem.Purpose of the article: The authors have noted a research gap in the area of analysing the impact of hate speech on building the value of pro-social activities. The intention of the authors was to evaluate whether the analysis of the phenomenon in question will allow to verify whether there is a relationship between online hate speech and building the value of online pro-social activities. The following research question was formulated: Can online hate speech have an impact on building the value of pro-social activities?Research methods: The authors decided that the quality dimension of the conducted studies should have the form of an individual in-depth interview (the author’s perspective) and a focus group interview supplemented with projection techniques – connotation test, evaluation of emotions and level of controversy (the perspective of the user of social media).Main findings: Hate actions significantly impede the functioning of profile with pro social content which is meant to function as the so-called safe space, which may have an impact on building the value of the influencer’s pro-social activities. During the interview with the recipients of controversial social campaigns, the occurrence of contradictory emotions was confirmed. The paper may offer a basis for further deepened scientific studies in the area of building the value of pro-social activities and a guideline for authors of social activities. Further research in the discussed direction may indicate new modes of using the social media with the participation of influencers who are active in the pro-social area and who have a community of engaged followers

Sheep and Horse Grazing in a Large-Scale Protection Area and its Positive Impact on Chemical and Biological Soil Properties

This paper looks into the impact of free grazing by sheep and horses on the chemical and biological properties of soils in the partial protection zone of the Roztocze National Park. The study sampled three different types of pastureland in the area: pastures for sheep, horses and for combined grazing by sheep and horses. Compared to an ungrazed reference pasture, free grazing significantly stimulated the activity of enzymes which catalyze the transformation of organic matter (dehydrogenases, phosphatases and ureases) and it also positively influenced other chemical properties of the soils. Among the soils under free-grazing management, the pasture grazed to horses underwent the most advantageous changes in terms of the eco-chemical status of the soil

The prediction of terrorist threat on the basis of semantic association acquisition and complex network evolution, Journal of Telecommunications and Information Technology, 2008, nr 2

In this paper, which is the continuation of an MCC 2006 Conf. publication by the same group of authors, we propose a concept of early detection of terrorist action preparation activities. Our ideas rely on semantic and complex networks to extract useful information for terrorist threat indication. Presented methods will be used as a core framework for Early Warning System

FACTORS AFFECTING THE RETENTION OF EQUITY CAPITAL OF LPP SA

Najważniejszymi interesariuszami w przedsiębiorstwie są właściciele oraz potencjalni inwestorzy. Określenie korzyści tej grupy interesariuszy możliwe jest przy wykorzystaniu całego szeregu wskaźników. Najczęściej wykorzystywanym jest wskaźnik rentowność kapitału własnego. Nie daje on jednak jednoznacznej odpowiedzi na pytanie, co mają zrobić zarządzający przedsiębiorstwem, ażeby zwiększyć wartość tego wskaźnika. W celu identyfikacji parametrów mogących mieć wpływ na jego wielkość, można przeprowadzić analizę DuPonta zwaną także analizą piramidalną. Wykorzystując parametry finansowe z analizy DuPonta oraz współczynnik korelacji Pearsona, można zidentyfikować czynniki, na których swą uwagę powinni skupić zarządzający, ażeby zwiększyć w przyszłości rentowność kapitału własnego analizowanego podmiotu. W artykule na podstawie analizy danych największej w Polsce, zlokalizowanej w Gdańsku i notowanej na Giełdzie Papierów Wartościowych spółki modowej - LPP SA, wykorzystując analizę ilościową i statystyczną, zidentyfikowano czynniki, które w ciągu ostatnich 11 lat działalności operacyjnej spółki miały największy wpływ na rentowność kapitału własnego. W przypadku gdy czynniki w otoczeniu spółki nie ulegną zmianie, skupienie uwagi i podjęcie odpowiednich działań na tych zidentyfikowanych czynnikach, powinno w największym stopniu oddziaływać na polepszenie wskaźnika rentowności kapitału własnego LPP SA, czyli parametru który jest najważniejszy dla właścicieli. Wartość średnia wskaźnika rentowności kapitału własnego dla analizowanej spółki w badanym okresie była wysoka, co może wskazywać, iż zwiększenie jego wartości wymagać będzie działań w konkretnych obszarach, które mogą przynieść największe efekty. W przeprowadzonym badaniu zidentyfikowano parametry, które najsilniej oddziaływały na wartość wskaźnika rentowności kapitału własnego w ostatnich latach, są to: środki trwałe, koszty operacyjne, zobowiązania bieżące, kapitał własny, zysk operacyjny i przychody ze sprzedaży. Przy czym wzrost pierwszych trzech parametrów oznaczał spadek rentowności kapitału własnego, a wzrost dwóch ostatnich czynników oznaczał wzrost rentowności kapitału własnego.The most important stakeholders in the enterprise are owners and potential investors. The benefits of this group of stakeholders can be determined using a whole range of indicators. The most commonly used indicator is the return on equity ratio. However, this indicator does not answer the question of what should be done by company managers in order to increase the value of this indicator. To identify the parameters affecting the value of the return on equity ratio, you can use the DuPont analysis. By using financial parameters from the DuPont analysis carried out and using the Pearson correlation coefficient, key factors can be identified. Managers should focus on these factors to increase the profitability of the company's equity in the future. The article analyzes the data of the largest fashion company listed on the Stock Exchange in Poland LPP SA. Statistical analysis has identified the factors that have had the greatest impact on equity returns over the past years. If the factors in the company's environment do not change, the focus of attention and taking appropriate actions on these identified factors should have the greatest impact on improving the return on equity of LPP SA. The average value of the return on equity ratio for LPP SA in the audited period is high. Therefore, its increase in the future will require action in specific areas. In the study, the parameters that most strongly affected the value of the return on equity ratio in recent years were identified: fixed assets, operating costs, current liabilities, equity, operating profit and sales revenues. The increase of the first three parameters meant a decrease in return on equity, and the increase of the last two factors meant an increase in return on equity

Sensor-based supporting mobile system Parkinson disease clinical tests utilising biomedical and RFID technologies

This paper discusses method and tool for assisting clinical tests of pharmaceutical drugs utilising sensors and mobile technologies. Emerging sensor and mobile technologies deliver new opportunities to gather and process medical data. Presented analytical approach implements such observations and delivers new, convenient means for remote patient monitoring. Clinical tests are highly specialised process requiring methodology and tools to support such research. Currently available methods rely mostly on analogue approach (booklets), requiring the clinical test participant to fill in health state daily. Such approach often can be biased by unpunctual, not precise reporting. The mobile device can support this process by automatic scheduling and recording an actual time of reports and most of all it can record the inertial and biometric sensor data during the survey process. Presented analytical method (tremors recognition) and mobile tool offers consistent approach to clinical test assistance transforming and Android smartphone into remote reporting and notification tool. The tool offers additionally features for sensor based diagnostics support for PD tremor recognition as well as specific clonic and tonic symptoms (dedicated for further system extensions towards epilepsy). Capabilities of the system delivers also RFID mechanisms for efficient on-site clinical test authorisation and configuration. This feature simplifies application installation and automatic set-up considering the participant, clinical test configuration, schedule, smartphone and sensor data. Such a composition delivers convenient and reliable tool which can assist patients and medical staff during the process objectifying the clinical tests results and helping to ensure good quality of the data, quickly available and easily accessible

Wearable sensor-based data analysis for neurological disease symptoms evaluation utilising quantitative approach.

The paper describes implementation of an analytical method and conclusions of novel approach to clinical trials monitoring and evaluation. Based on clinical trials observations a set of requirements for validating symptoms of neurological diseases have been formulated, concentrating on the ones which can be registered using wearable sensors. The constructed tool utilizes conventional surveying methods supplemented with biomedical sensor for neurological symptoms recognition and intensity evaluation. Developed mobile system is aimed at clinical trials assistance utilising sensor-based state evaluation. Such quantitative approach is a supplement for patient’s subjective evaluation of health state. This work is a discussion on pros and cons of such process composition and its supplementation with technology. Existing methodology relies on health state evaluation based on iteratively answered questionnaires, which in our understanding cannot be fully controlled and reliable. Utilisation of actigraphy and electromyography provides efficient means of some gestures recognition but most of all PD tremor identification and evaluation of their intensity, therefore can be used for ON/OFF state and dyskinesia identification and evaluation. In order to recognise specific states for PD patients (tremors, bradykinesias, rigidity, mental slowness, etc.) a set of additional techniques have been designed and implemented

Applications of RFID technology in dismounted soldier solution systems – study of mCOP system capabilities

This paper discusses application of RFID technology in Dismounted Soldier Solutions gathered from the development and demonstration of mCOP platform. The software has been developed to elaborate Network Enabled Capabilities in tactical environments. Presented research was a part of demonstration prepared for the European Defence Agency. The main aim of the tool is the delivery of command support capabilities utilizing data fusion and integration mechanisms implemented in heterogeneous military mobile networks. Application of military integration standards such as JC3IEDM, NFFI and TSO supports interoperability with BMS class systems. Utilisation of RFID technology in mCOP software has several purposes, mainly used for process automation of authorisation and personal identification. Indirectly such functionalities can be used for implementation of UAV supported - Blue Force Tracking and IFF services. This research elaborates a set of implemented ideas for such solutions. Developed system serves as a multi-level and multi-platform command and control system supporting military and crisis operations. A crucial part of the system - mCOP, the handheld application for tactical level commanders, serves as personal toolkit for location monitoring and combat situation distribution and management. The tool delivers a set of tailored functionalities supporting commander’s situation awareness and decision making process. The mCOP hosting device equipped with RFID delivers also means of tactical , emergency, micro network communication

Queue-based quantitative approach for border guard operational modelling. Constructive simulator models reflecting border crossings and blockade elements.

The paper presents selected modelling techniques utilised in constructive simulation environment SymSG Border Tactics which provides tactical training capabilities for Polish Border Guard. Operational responsibilities of BG include policing as well as reconnaissance, transport and traffic control in near border areas. Modelling of such operations require multiresolution approach, as many of operational elements can be modelled as aggregated entities but majority of active simulation elements need to be implemented as individual simulation objects. The behavioural models reflecting BG, perpetrators or society have been modelled as agents and more complex operational elements (e.g. road blockades, control points during temporary restoration of the border control, border crossing) are modelled using queue system. Such approach delivers flexibility of system modelling but most of all is tuned to the calibration parameters provided by the BG analysts. Therefore, developed modelling approach provides flexibility in customisation of the model (simulation element) based on the user and scenario preferences. Constructive simulator has been designed to support brief (up to 4h) live exercises and reflect training of border guard outpost operational tasks. Finally the paper describes architectural solutions developed to support modelling approaches and required functionalities for simulation execution, after-action-review mechanism and remote simulation access

Wpływ kryzysu pandemii Covid-19 na sytuację finansową przedsiębiorstw w Polsce na przykładzie LPP SA

W niniejszym artykule dokonano oceny zmiany sytuacji finansowej (będącej kon- sekwencją kryzysu pandemii) dużego przedsiębiorstwa notowanego na Giełdzie Papierów Wartościowych w Warszawie, działającego w branży odzieżowej, jakim jest LPP SA. W przypadku wybranego do analizy przedsiębiorstwa, sytuacja pandemiczna powstała w 2020 roku miała znaczny, negatywny wpływ na wyniki osiągane przez analizowane przedsiębiorstwo i mimo szeregu działań restrukturyzacyjnych, rok 2020 przedsiębiorstwo po raz pierwszy od dłuższego okresu zakończyło stratą. Do oceny zmiany sytuacji finansowej analizowanego przedsiębiorstwa wykorzystano dyskryminacyjne modele prognozy upadłości przedsiębiorstw, opracowane przez E. Mączyńską i D. Hadasik. Modele dyskryminacyjne wykorzystywane są do prognozy upadłości przedsiębiorstwa na podstawie aktualnych danych finansowych. W artykule oba zaprezentowane modele zostały wykorzystane do analizy zmiany sytuacji finansowej badanego podmiotu w kontekście powstania sytuacji nadzwyczajnej w otoczeniu, jaką była pandemia Covid-19