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W artykule dokonano opisu metod pozyskiwania wiedzy w modelach Data Mining stosowanych do wspomagania procesu podejmowania decyzji. Głównym założeniem jest próba wykorzystania do tego celu systemów klasy OLAP, jako systemów wielowymiarowych i wieloaspektowych drążeń informacji. Proces modelowania takich rozwiązań wymaga strukturalizacji i odniesienia do istniejącej bazy techniczno-technologicznej. Opracowanie prezentuje możliwości budowy modelu dla różnych klas organizacji oraz przedstawia możliwość adaptacji modelu data mining do analizy i zarządzania w procesie podejmowania decyzji. Przydatność modelu widziana może być szczególnie w aspekcie oceny możliwości wspomagania podejmowania decyzji związanych z planowaniem wykorzystania zasobów organizacji rozproszonych do przeciwdziałania skutkom zagrożeń. Nowoczesne koncepcje w zarządzaniu organizacją gospodarczą powinny eksponować platformę Internet,jako platformę ogólnie dostępną do komunikacji z otoczeniem.

A positronium - a bound state of electron and positron - is an eigenstate of parity and charge conjugation operators which decays into photons. It is a unique laboratory to study discrete symmetries whose precision is limited, in principle, by the effects due to the weak interactions expected at the level of 10−14 and photon-photon interactions expected at the level of 10−9. The Jagiellonian Positron Emission Tomograph (J-PET) is a detector for medical imaging as well as for physics studies involving detection of electronpositron annihilation into photons. The physics case covers the areas of discrete symmetries studies and genuine multipartite entanglement. The J-PET detector has high angular and time resolution and allows for determination of spin of the positronium and the momenta and polarization vectors of annihilation quanta. In this article, we present the potential of the J-PET system for studies of discrete symmetries in decays of positronium atoms.

To reduce energy consumption and improve residents’ quality of life, “smart cities” should use not only modern technologies, but also the social innovations of the “Internet of Things” (IoT) era. This article attempts to solve transport problems in a smart city’s office district by utilizing gamification that incentivizes the carpooling system. The goal of the devised system is to significantly reduce the number of cars, and, consequently, to alleviate traffic jams, as well as to curb pollution and energy consumption. A representative sample of the statistical population of people working in one of the biggest office hubs in Poland (the so-called “Mordor of Warsaw”) was surveyed. The collected data were processed using spatial data mining methods, and the results were a set of parameters for the multi-agent system. This approach made it possible to run a series of simulations on a set of 100,000 agents and to select an effective gamification methodology that supports the carpooling process. The implementation of the proposed solutions (a “serious game” variation of urban games) would help to reduce the number of cars by several dozen percent, significantly reduce energy consumption, eliminate traffic jams, and increase the activity of the smart city residents.

The biology of breast cancer is closely releted to sex steroid hormones. Estrogen receptor beta is overexpressed in around 70% breast cancer cases, referrd to as "ER positive". Estrogens bind to estrogen receptor and stimulate the transcription of genes involved in control of cell proliferation. Moreover, estrogens may induce growth factors and components of extracellular matrix and interact with them in a complex manner. Extracellular matrix and integrins play an important role in cell functions and their aberrant expressions are implicated in breast cancer development, invasion and metastasis. ER beta is certainly associated with more differentiated tumors, while evidence of role of ER beta is controversial. The highly invasive breast cancer ER beta negative cell line MDA-MB 231 can be the model of exam the role of ER beta in breast cancer. The aim of this study was to examine the role of activation of ER beta on the metabolism of the extracellular matrix and the expression of beta-1 integrin in the breast cancer cell line MDA-MB 231. The cells were exposed on the estradiol, tamoxifen, raloxifen and genisteina in dose dependent concentrations. To determine the relative rate of collagen syntesis we measured the time-dependent reduction of collagen-bound radioactivity after pulse-chase labeling with [3 H] prolina by Peterkofsky methods. The expression of beta-1 integrin was determine by Western blot analysis. The activity of MMP2 and 9 were measured using gelatin zymography with an image analysis system. Our data suggest on the role of estrogen receptor beta on the metabolism of extracellular matrix in the breast cancer line MDA - MB 231. Estradiol and SERMs regulate the expression of ECM proteins: collagen, integrins and enhance activity of metaloproteinases 2 and 9.

Endometrial cancer is one of the most frequently diagnosed cancer in females with prevalence of 22 in 100,000 women. The etiology of the cancer remains unclear. Despite significant progress towards understanding the patho-mechanism of the disease, effective treatment is still lacking. The results of the study suggest that combined treatment of Ishikawa cells for 24 h with disintegrin and then for 24 h with melphalan severely inhibits important biological functions of the cells. We showed that such strategy have a potent cytotoxic effect. The mechanism of process undergoes probably through inhibition of integrin - dependent signaling. In this study we shown down regulation of Shc and FAK proteins in cells treated with echistatin and melphalan. It suggests that signaling pathways that involve Shc and FAK participation may represent target for antineoplastic strategy. The functional significance of the combined treatment of Ishikwa cells with echistatin and melphalan was found at the level of collagen biosynthesis. Decreased biosynthesis of collagen in extracellular matrix may suppress cell growth and induce apoptosis. The treatment with echistatin and melphalan also showed decreased expression of IGF receptor in comparison to the cells treated with both compounds separately. The data presented suggest that combined therapy with disintegrin - echistatin and alkyalting drug - mephalan may represent a new approach to more effective and safe cancer therapy.

This study aims at assessing the financing needs of agritourism farms in the Świętokrzyskie Province. Since agritourism in Poland has been growing in a dynamic way for over a decade, it became an important component of the tourist offer. This part of tourism is largely dependent on financing capacities of agritourism farms. This study presents the results of the empirical survey carried out in the agritourism farms located in the selected gminas of the Świętokrzyskie Province.

During the last several years the development of agrotourist activity is observing in Poland. Thanks to that agrotourist has become a significant element of tourist offer. The development of agrotourist in Poland depends on satisfying consumers’ needs. Therefore, not only is the study of supply significant but also the study of demand of prospective clients is important. For that reason the aim of the thesis was to elaborate the profile of farm tourism clients of the Świętokrzyski Mountains Region and identify clients’ expectations and needs concerning their stay on the farms situated in the area of this area. The proper knowledge of the clients’ profile and their expectations for provided service by the owners of the farms favours the development of agrotourist business.

The exposed selvedge layers in slabs cast by the continuous process should be free from surface defects, which in most cases appear in the form of cracks on the casting surface and run to its interior. In addition to the parameters of the casting process, the occurrence of such defects depends on the chemical composition of cast steel, on the segregation of surface active elements and formation of the precipitates of carbides, nitrides and other phases. Due to the frequent occurrence of defects in corners of the slabs, non-destructive testing was performed on the mechanically cleaned surfaces of slabs. The test material was low-carbon API(American Petroleum Institute API 5L standard) steel micro alloyed with Nb and Ti designed for the production of pipes to handle gas, oil and other liquid and gaseous fuels. Despite the use of different methods of inspection, i.e. ultrasonic, magnetic particle and penetrant, cracks were not traced in the examined material. Then, from the corners of the examined slabs, specimens were cut out for metallographic examinations. The main purpose of these examinations was to disclose the presence of possible cracks and micro cracks on the surfaces transversal and longitudinal to the direction of casting. At the same time, studies were conducted to establish the number and morphology of non-metallic inclusions in selvedge layers of the slab corners and axis. Additionally, hardness of the slabs was measured. The conducted studies revealed only some minor differences in the slab hardness along its axis (130 ÷ 135 HB) and in selvedge layers (120 ÷ 123 HB). [ABSTRACT FROM AUTHOR]

The influence of cooling rate after homogenization on the 2017A alloy microstructure was analysed. The capability of the θ (Al2Cu) particles, precipitated during various homogenization coolings, for rapid dissolution was estimated. For this purpose, the DSC test was used to determine the effect of the cooling rate after homogenization on the course of melting during a rapid heating. Moreover, the samples after solution heat treatment (with short time annealing) and ageing, were subjected to the microstructure investigations and the microhardness of grains interiors measurements. It was found that cooling after homogenization at 160 °C/h is sufficient for precipitation of fine θ phase particles, which dissolve during the subsequent rapid heating. The cooling at 40 °C/h, causes the precipitation of θ phase in the form of large particles, incapable of further fast dissolution. [ABSTRACT FROM AUTHOR]

This paper presents a method for determining the sensitivity of the main air flow directions in ventilation subnetworks to changes in aerodynamic resistance and air density in mine workings. The authors have developed formulae for determining the sensitivity of the main subnetwork air flows by establishing the degree of dependency of the air volume stream in a given working on the variations in resistance or air density of other workings of the network. They have been implemented in the Ventgraph mine ventilation network simulator. This software, widely used in Polish collieries, provides an extended possibility to predict the process of ventilation, air distribution and, in the case of underground fire, the spread of combustion gasses. The new method facilitates an assessment by mine ventilation services of the stability of ventilation systems in exploitation areas and determines the sensitivity of the main subnetwork air flow directions to changes in aerodynamic resistance and air density. Recently in some Polish collieries new longwalls are developed in seams located deeper than the bottom of the intake shaft. Such a solution is called “exploitation below the level of access” or “sublevel”. The new approach may be applied to such developments to assess the potential of changes in direction and air flow rates. In addition, an interpretation of the developed sensitivity indicator is presented. While analyzing air distributions for sublevel exploitation, the application of current numerical models for calculations of the distribution results in tangible benefits, such as the evaluation of the safety or risk levels for such exploitation. Application of the Ventgraph computer program, and particularly the module POŻAR (fire) with the newly developed options, allows for an additional approach to the sensitivity indicator in evaluating air flow safety levels for the risks present during exploitation below the level of the intake shaft. The analyses performed and examples presented enabled useful conclusions for mining practice to be drawn.

The paper presents the design and the rationale behind a simple verification protocol for autonomous verification modules, and the architecture enabling use of such modules. The architecture assumes strict separation of all personal metadata and the actual verification data. The paper also describes a prototype implementation of the protocol and its extension enabling the state of the module to be monitored from the main system. The proposed design solves the problem of using advanced verification methods, especially biometric ones, in systems where direct implementation is not possible due to hardware incompatibilities, insufficient resources or other limitations.

The PANDA spectrometer will be built at the FAIR facility at Darmstadt (Germany) to perform accurate tests of the strong interaction through ¯pp and ¯pA annihilation studies. The charged particle tracking at PANDA will be done using both solid state and gaseous detectors. Among the latter, two straw tube detector systems will be built [1]. The cylindrical, central straw tube tracker features a high spatial and momentum resolution for a wide range of particle momenta from about 8 GeV/c down to a few 100 MeV/c, together with particle identification in the momentum region below about 1 GeV/c by measuring the specific energy-loss. A new technique, based on self-supporting straw double layers with intrinsic wire tension developed for the COSY-TOF straw tracker [2], has been adopted for the PANDA trackers. The development of the readout electronics for the straw tubes is ongoing. Prototypes have been produced and used to instrument straw tube modules that have been tested with cosmic rays and proton beams. Design issues of the PANDA straw tubes, together with the results of the prototype tests are presented.

The work presents some aspects of beam tracing technique used in sound simulation. Adaptive Frustum algorithm, which was designed for detecting obstacles via beam subdivision was reviewed from efficiency point of view as well asfor its accuracy. Some possible improvements are suggested, however, they donot fully solve the problems of using this algorithm in real-time applications.Improved algorithm implementation was tested on five scenes with differentcharacteristics and varying complexity.

Electrocardiogram (ECG) are the physiological signals and a standard test to measure the heart's electrical activity that depicts the movement of cardiac muscles. A review study has been conducted on ECG signals analysis with the help of artificial intelligence (AI) methods over the last ten years i.e., 2012-22. Primarily, the method of ECG analysis by software systems was divided into classical signal processing (e.g. spectrograms or filters), machine learning (ML) and deep learning (DL), including recursive models, transformers and hybrid. Secondly, the data sources and benchmark datasets were depicted. Authors grouped resources by ECG acquisition methods into hospital-based portable machines and wearable devices. Authors also included new trends like advanced pre-processing, data augmentation, simulations and agent-based modeling. The study found improvement in ECG examination perfection made each year through ML, DL, hybrid models, and transformers. Convolutional neural networks and hybrid models were more targeted and proved efficient. The transformer model extended the accuracy from 90% to 98%. The Physio-Net library helps acquire ECG signals, including the popular benchmark databases such as MIT-BIH, PTB, and challenging datasets. Similarly, wearable devices have been established as a appropriate option for monitoring patient health without the time and place limitations and are also helpful for AI model calibration with so far accuracy of 82%-83% on Samsung smartwatch. In the pre-processing signals, spectrogram generation through Fourier and wavelet transformations are erected leading approaches promoting on average accuracy of 90%-95%. Likewise, data enhancement using geometrical techniques is well-considered; however, extraction and concatenation-based methods need attention. As the what-if analysis in healthcare or cardiac issues can be performed using a complex simulation, the study reviews agent-based modeling and simulation approaches for cardiovascular risk event assessment., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The dataset contains information obtained during the analysis and evaluation of the contents of 100 Terms of Service (ToS) of online platforms from the point of view of the European Union consumer law. Each ToS has been assigned information regarding the presence and quality of remedy clauses, dispute resolution clauses, unilateral alteration clauses, rights to police the behavior of users, and regulatory requirements. In addition, descriptions of service features and parties' rights and duties have been pulled out. The sample contains 100 ToS of digital platforms operating in sixteen market sectors: Cloud storage, Communication, Dating, Finance, Food, Gaming, Health, Music, Shopping, Social, Sports, Transportation, Travel, Video, Work, and Various. The selected companies' headquarters span four legal surroundings: the US, the EU, Poland specifically, and other jurisdictions (including, e.g., China, Japan, and the UK). The chosen platforms are both privately held and publicly listed and offer both fee-based and free services. The resulting data table includes 100 observations described by 38 variables (10 metadata and 28 presenting results of the analysis). The definitions of variables and categorical values are presented in the instruction followed by the annotators. All the analyzed ToS in original and annotated form are a part of the dataset. The documents were retrieved from publicly accessible websites of respective online platforms on February 22, 2022, from the territory of Poland, the European Union. Each document was subsequently annotated independently by two researchers, based on the enclosed instruction. The instruction was prepared by the PI, with the help of the team, based on the EU law. The annotators subsequently run consistency checks. The process was designed to ensure the lack of errors and the clarity of the instruction. When ambiguities in the latter were discovered, the PI and the annotators resolved them, and the previously tagged documents were retroactively examined for consistency. These data have significant reuse potential. They can be reused by social scientists attempting to understand the dynamics of the digital markets or normative scholars, like lawyers or political philosophers, attempting to create algorithms for scoring online consumer contracts. They can also be reused by various non-scholarly actors, including policymakers verifying the efficacy of their regulations, developers willing to market their products in a consumer-friendly way, or consumer organizations attempting to raise consumer awareness. The data is suitable for many different types of data analysis methods, such as cluster analysis, dimensionality reduction, classification methods, and scoring., (© 2024 The Author(s).)

The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment and are found helpful in diagnosing cardiac diseases. However, traditional ways, i.e., a medical consultation required effort, knowledge, and time to interpret the ECG signals due to the large amount of data and complexity. Neural networks have been shown to be efficient recently in interpreting the biomedical signals including ECG and EEG. The novelty of the proposed work is using spectrograms instead of raw signals. Spectrograms could be easily reduced by eliminating frequencies with no ECG information. Moreover, spectrogram calculation is time-efficient through short-time Fourier transformation (STFT) which allowed to present reduced data with well-distinguishable form to convolutional neural network (CNN). The data reduction was performed through frequency filtration by taking a specific cutoff value. These steps makes architecture of the CNN model simple which showed high accuracy. The proposed approach reduced memory usage and computational power through not using complex CNN models. A large publicly available PTB-XL dataset was utilized, and two datasets were prepared, i.e., spectrograms and raw signals for binary classification. The highest accuracy of 99.06% was achieved by the proposed approach, which reflects spectrograms are better than the raw signals for ECG classification. Further, up- and down-sampling of the signals were also performed at various sampling rates and accuracies were attained.

Changes in the microstructure and selected mechanical properties of two-phase ferritic-austenitic cast steel containing 24% Cr-5% Ni-2.5% Mo-2.5% Cu after isothermal holding at 750 °C and 900 °C are presented. The choice of the two temperatures of isothermal holding was dictated by the precipitation of brittle phases within a range of 600 °C-950 °C, while the holding time depended on the casting cooling time in the mould. Changes in the microstructure were studied by the SEM-EDS and XRD techniques. As a result of the decomposition of the eutectoid ferrite, a σ phase that was rich in Cr, Mo, and Ni and a secondary γ 2 austenite with Widmannstätten morphology were formed. Compared to the austenite, the chemical composition of the secondary γ 2 austenite showed depletion of Cr and Mo. In the ferrite, the presence of Cr 2 N nitrides was also detected. After a holding time of 3 h at 900 °C, these phases increased the hardness of the tested cast steel to approximately 275 HV 10 . At the same time, the UTS value was recorded to decrease with the increasing temperature based on the tensile test results. At 750 °C, the value of UTS was 250 MPa for 1 h of holding and 345 MPa for 3 h of holding. These values decreased after increasing the temperature to 900 °C and amounted to 139 for 1 h holding and 127 MPa for 3 h holding. It was also found that the elongation values at 750 °C ranged from 7-10%, while they amounted to 35-37% at 900 °C. A fracture analysis of the tested cast steel showed that in the prevailing part, the fractures were made of ductile nature with an arrangement of dimples that is typical for this type of fracture. Non-metallic inclusions that are typical for cast steel (i.e., oxides and nitrides) were also found in the area of the fractures.

In the article, the authors present a multi-agent model that simulates the development of the COVID-19 pandemic at the regional level. The developed what-if system is a multi-agent generalization of the SEIR epidemiological model, which enables predicting the pandemic's course in various regions of Poland, taking into account Poland's spatial and demographic diversity, the residents' level of mobility, and, primarily, the level of restrictions imposed and the associated compliance. The developed simulation system considers detailed topographic data and the residents' professional and private lifestyles specific to the community. A numerical agent represents each resident in the system, thus providing a highly detailed model of social interactions and the pandemic's development. The developed model, made publicly available as free software, was tested in three representative regions of Poland. As the obtained results indicate, implementing social distancing and limiting mobility is crucial for impeding a pandemic before the development of an effective vaccine. It is also essential to consider a given community's social, demographic, and topographic specificity and apply measures appropriate for a given region., (© 2022. The Author(s).)

Investigations are conducted in order to maintain or to improve the selected properties of the group of foundry copper-tin alloys with nickel and titanium additions, at a limited fraction of the critical (deficit) element such as tin. The crystallisation process, as well as changes of the microstructure and selected mechanical properties of the CuSn8 alloy-occurring due to introducing alloying additions-were analysed. Investigations of the macro and microstructure were performed using optical and scanning electron microscopy. Based on the thermal analysis and thermodynamic modelling using the CALPHAD (CALculations of PHAse Diagrams) method, the crystallisation process was analysed. The identification of phases was performed by XRD (X-ray diffraction). In addition, such parameters as tensile strength-UTS, elongation-A and hardness-HBS were tested. Under the influence of the introduced titanium, the columnar crystals are reduced due to the crystallisation of the alloy at the walls of the mould. Precipitations (intermetallic phases) crystallize first (primary). The intermetallic phases associated with the presence of the alloying elements nickel and titanium are located in the interdendritic regions. In tin bronzes with titanium additions, hardness (HBS) increases, tensile strength (UTS) negligibly decreases, while elongation (A) significantly decreases. In the case of CuSnNi bronze, the addition of 0.2 wt.% Ti increases the hardness and increases ultimate tensile strength (UTS), while reducing the elongation (A). Higher Ti additions increase HBS, slightly decrease the tensile strength, and significantly reduce the elongation.

Zr-2.5Cu and Zr-10Cu powder mixtures were consolidated in the extrusion process and using the spark plasma sintering technique. In these studies, material tests were carried out in the fields of phase composition, microstructure, hardness and tensile strength for Zr-Cu materials at room temperature (RT) and 400 °C. Fractography analysis of materials at room temperature and 400 °C was carried out. The research took into account the anisotropy of the materials obtained in the extrusion process. For the nonequilibrium SPS process, ZrCu 2 and Cu 10 Zr 7 intermetallic compounds formed in the material at sintering temperature. Extruded materials were composed mainly of α-Zr and ZrCu 2 . The presence of intermetallic compounds affected the reduction in the strength properties of the tested materials. The highest strength value of 205 MPa was obtained for the extruded Zr-2.5Cu, for which the samples were cut in the direction of extrusion. For materials with 10 wt.% copper, more participation of the intermetallic phase was formed, which lowered the mechanical properties of the obtained materials. In addition to brittle intermetallic phases, the materials were characterized by residual porosity, which also reduced the strength properties.

Materials were obtained from commercial zirconium powders. 1 mass%, 2.5 mass% and 16 mass% of niobium powders were used as the reinforcing phase. The SPS method and the extrusion method classified as the SPD method were used. Relative density materials of up to 98% were obtained. The microstructure of the sintered Zr-xNb materials differs from that of the extruded materials. Due to the flammability of zirconium powders, no mechanical alloying was used; only mixing of zirconium and niobium powders in water and isopropyl alcohol. Niobium was grouped in clusters with an average niobium particle size of about 10 μm up to 20 μm. According to the Zr-Nb phase equilibrium system, the stable phase at RT was the hexagonal α-phase. The tests were carried out for materials without the additional annealing process. The effect of niobium as a β-Zr phase stabilizer is confirmed by XRD. Materials differed in their phase composition, and for both methods the β-Zr phase was present in obtained materials. A very favorable effect of niobium on the increase in corrosion resistance was observed, compared to the material obtained from the powder without the addition of niobium.

Thanks to vaccines, many people are not exposed to the risks associated with vaccine-preventable diseases (VPDs). This, however, results in growing popularity of antivaccine movements and affects global and local epidemiological situation. Vaccine hesitancy has become a significant problem not only for epidemiologists but also for practitioners. Fortunately, the hesitant group seems to be vulnerable to intervention, and studies indicate that these patients can be persuaded to undergo vaccinations. The aim of the present study was to determine the factors most strongly affecting vaccination-related attitudes and decisions. An anonymous, self-administered survey consisting of demographic data and single select multiple-choice questions regarding vaccination was conducted. The voluntary study included secondary school pupils, medical and nonmedical students, healthcare professionals, hospital and clinic patients as well as parents. A total of 7950 survey forms were distributed between January 2018 and June 2019 in south-eastern Poland. A total of 6432 respondents (80.2%) completed a questionnaire that was eligible for analysis. The positive attitude toward vaccination was significantly affected by older age, by the fact of obtaining information on vaccinations from a physician, this information's higher quality (assessed in school grade scale), higher level of knowledge on vaccines and by the fact of denying the association between vaccination and autism in children ( p < 0.001). The probability of supporting vaccinations was almost eight-fold lower among respondents believing the vaccine-autism relationship. Chance of supporting vaccination doubled in the group with a higher knowledge level. The individuals not provided with expert information on vaccination were twice as often unconvinced. Age, education and having children significantly affected the attitude toward influenza immunization ( p < 0.001). Older, better educated respondents and those having children were more positive about vaccinations. The medical community still exert decisive effects on attitudes toward vaccinations. High-quality information provided by them is of great importance. Skillful and competent provision of evidence-based information disproving the myth about vaccine-autism connection and proper education of medical staff is essential in molding positive attitudes toward vaccinations.

Objectives: Lung transplantation not only saves a patient's life but also creates the opportunity for becoming more self-reliant and getting back to work. The aim of this single center study was to assess the prospects of employment, as well as its influence on the quality of life and physical activity, of the lung transplant recipients of the Silesian Center for Heart Diseases in Zabrze, Poland., Material and Methods: A retrospective study covered 67 lung transplant recipients of the Silesian Center of Heart Diseases. Only patients with ≥ 6-month follow-up were included. All of the patients gave their written consent to be included in the study before filling out the questionnaire containing questions about employment, income, education and how work affected their quality of life before and after lung transplantation. A physical capability assessment was performed by climbing flights of stairs and by means of a 6-min walk test, and spirometry parameters were also measured., Results: Twenty of the patients included in the study (31.7%) were employed after lung transplantation, 63.2% of whom worked full-time. Profession was changed by 2 patients (14.3%). The patients diagnosed with cystic fibrosis were found to have the highest chance of finding employment after lung transplantation. The statistical analysis revealed that the employed patients were able to cover longer distances during the 6-min walk test (556 m, on average) than the unemployed ones (494 m, on average)., Conclusions: One in 3 patients finds employment after lung transplantation. Work improves the quality of life of the majority of lung transplant recipients. The patients who are employed are also in a better physical condition, and they are more self-reliant in comparison to those who remain unemployed. Lung transplant recipients with cystic fibrosis are most likely to find employment, and so are patients with higher education. Int J Occup Med Environ Health. 2019;32(3):379-86., (This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.)

To reduce energy consumption and improve residents' quality of life, "smart cities" should use not only modern technologies, but also the social innovations of the "Internet of Things" (IoT) era. This article attempts to solve transport problems in a smart city's office district by utilizing gamification that incentivizes the carpooling system. The goal of the devised system is to significantly reduce the number of cars, and, consequently, to alleviate traffic jams, as well as to curb pollution and energy consumption. A representative sample of the statistical population of people working in one of the biggest office hubs in Poland (the so-called "Mordor of Warsaw") was surveyed. The collected data were processed using spatial data mining methods, and the results were a set of parameters for the multi-agent system. This approach made it possible to run a series of simulations on a set of 100,000 agents and to select an effective gamification methodology that supports the carpooling process. The implementation of the proposed solutions (a "serious game" variation of urban games) would help to reduce the number of cars by several dozen percent, significantly reduce energy consumption, eliminate traffic jams, and increase the activity of the smart city residents., Competing Interests: The authors declare no conflict of interest