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Wyświetlanie 1-10 z 22
Tytuł:
Circular economy indicators as a supporting tool for european regional development Policies
Autorzy:
Zając, Paweł
Avdiushchenko, Anna
Opis:
The current research proposes a system of possible indicators for evaluating progress towards circular economy (CE) at the regional level in European Union countries. This was accomplished through desktop research examining potential CE indicators and approaches to monitoring, worldwide or at the country level, and possibilities for adapting such approaches to European regions. The study has shown that existing tools for monitoring are inadequate for tracking the progress of CE transition at the regional level. Based on those findings, it is possible to propose principles for designing CE indicators, types of indicators, their main characteristics and sources for data collection. The study also presents a case study for tracking CE progress, applying the proposed CE indicators to the Malopolska region in southern Poland. However, comparing CE progress between different European regions may not be feasible because of the limits of data availability. Additional indicators should be identified at the regional level to increase the quality of proposed areas of CE monitoring. Nevertheless, analysing CE indexes for various regions could offer a valuable method for distinguishing regional leaders in CE development to serve as useful examples, while determining which regions need to intensify their efforts toward such a transition.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Towards a constructionist approach to emotions : verification of the three-dimensional model of affect with EEG-independent component analysis
Autorzy:
Ligęza, Tomasz
Wyczesany, Mirosław
Opis:
The locationist model of affect, which assumes separate brain structures devoted to particular discrete emotions, is currently being questioned as it has not received enough convincing experimental support. An alternative, constructionist approach suggests that our emotional states emerge from the interaction between brain functional networks, which are related to more general, continuous affective categories. In the study, we tested whether the three-dimensional model of affect based on valence, arousal, and dominance (VAD) can reflect brain activity in a more coherent way than the traditional locationist approach. Independent components of brain activity were derived from spontaneous EEG recordings and localized using the DIPFIT method. The correspondence between the spectral power of the revealed brain sources and a mood self-report quantified on the VAD space was analysed. Activation of four (out of nine) clusters of independent brain sources could be successfully explained by the specific combination of three VAD dimensions. The results support the constructionist theory of emotions.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Body image and risk of exercise addiction in adults : a systematic review and meta-analysis
Autorzy:
Kamionka, Agata
Lipowska, Małgorzata
Xue, Qinbo
Guo, Shuai
Izydorczyk, Bernadetta
Lipowski, Mariusz
Opis:
Background and aims: Exercise addiction in adults is increasingly recognized as a public health concern, carrying potentially harmful physical, psychological, and social consequences. Body image-encompassing cognitive, behavioral, affective, and perceptual elements-may be a key factor in this risk, yet comprehensive evidence remains scarce. This systematic review and meta-analysis aimed to (1) evaluate the overall relationship between multidimensional body image and the risk of exercise addiction in adults, and (2) identify key moderators (e.g., different elements of body image, gender, region). Methods: A systematic search was conducted in PsycINFO, Medline, SPORT Discus, Web of Science, and Embase up to October 22, 2024. A three-level meta-analysis model was employed, and univariate and multivariate meta-regressions were used to explore potential moderating factors. Results: A total of 38 eligible studies were identified, contributing 65 effect sizes. The meta-analysis revealed a moderate correlation (r 5 0.26) between body image and risk of exercise addiction in adults. Moreover, the cognitive component of body image and the use of compulsive exercise measures in addiction assessments emerged as unique moderators, each further strengthening the observed relationship. Discussion and conclusions: These findings underscore the central role of body image-particularly its cognitive dimension-in shaping the risk of exercise addiction in adults, especially when assessed via compulsive exercise measures. Incorporating these insights into research and practice may guide more effective interventions and improve public health strategies aimed at mitigating harmful exercise behaviors.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Examination of distribution of trace elements in hair, fingernails and toenails as alternative biological materials : application of chemometric methods
Autorzy:
Piekoszewski, Wojciech
Parczewski, Andrzej
Herman, Małgorzata
Chęsy, Paulina
Walas, Stanisław
Przybyłowicz, Agnieszka
Opis:
The aim of this study was to find correlations between several studied elements and analyzed materials as well as the application and validation of an analytical method to determine trace elements in hair, fingernails and toenails of healthy volunteers (normal concentration). The method developed covers washing, mineralization and ICP- MS determination of 10 elements (Ca, Cd, Co, Cr, Cu, Fe, Mg, Ni, Pb and Zn) in hair and nails. Concentrations of the selected elements in hair, fingernails and toenails were measured for 24 women and 18 men. Furthermore, a chemometric approach (Principal Component Analysis, PCA) was employed to evaluate the correlations between concentrations of the elements in hair and nails and between these materials. Until now PCA has not been frequently applied in handling and interpretation of the results of analysis of biological materials. However, the results of the present investigation show the high potential of PCA in extraction of valuable information from analytical measurements. Additionally, PCA has become a useful tool for visualization of the obtained results. Moreover, the cluster analysis (CA) was used to group the samples according to gender, taking into account two different groups of elements: essential and toxic.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Transformation of PET raw data into images for event classification using convolutional neural networks
Autorzy:
Curceanu, Catalina
Chug, Neha
Kapłon, Łukasz
Niedźwiecki, Szymon
Coussat, Aurélien
Konieczka, Paweł
Czerwiński, Eryk
Skurzok, Magdalena
Kumar, Deepak
Kacprzak, Krzysztof
Korcyl, Grzegorz
Hiesmayr, Beatrix C.
Shivani, Shivani
Dulski, Kamil
Dadgar, Meysam
Baran, Jakub
Gajos, Aleksander
Raczyński, Lech
Shopa, Roman Y.
Stępień, Ewa
Fedoruk, Oleksandr
Klimaszewski, Konrad
Wiślicki, Wojciech
Parzych, Szymon
Tayefi Ardebili, Faranak
Sharma, Sushil
Krzemień, Wojciech
Moskal, Paweł
Kopka, Przemysław
Kozik, Tomasz
Perez del Rio, Elena
Opis:
In positron emission tomography (PET) studies, convolutional neural networks (CNNs) may be applied directly to the reconstructed distribution of radioactive tracers injected into the patient's body, as a pattern recognition tool. Nonetheless, unprocessed PET coincidence data exist in tabular format. This paper develops the transformation of tabular data into n-dimensional matrices, as a preparation stage for classification based on CNNs. This method explicitly introduces a nonlinear transformation at the feature engineering stage and then uses principal component analysis to create the images. We apply the proposed methodology to the classification of simulated PET coincidence events originating from NEMA IEC and anthropomorphic XCAT phantom. Comparative studies of neural network architectures, including multilayer perceptron and convolutional networks, were conducted. The developed method increased the initial number of features from 6 to 209 and gave the best precision results (79.8) for all tested neural network architectures; it also showed the smallest decrease when changing the test data to another phantom.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Grouping of residual solvents present in pharmaceuticals using experimental planning and chemometric methods
Autorzy:
Grodowska, Katarzyna
Parczewski, Andrzej
Opis:
The main effects of six experimental factors on the efficiency of HS (headspace) extraction in headspace gas chromatography – flame ionization detector (HS-GC-FID) determination of twenty organic solvents routinely used in production of pharmaceuticals were obtained on the basis of the results of experiments carried out according to the Plackett-Burman factorial design. The effects were used as a basis for grouping the solvents into five groups, the solvents belonging to a group responded similarly to changes of HS conditions. To this end, visualization approaches were used as well as chemometric methods: cluster analysis (CA) and principal component analysis (PCA). Moreover, the most important HS experimental factors were selected for further optimization of the HS-GC determination procedure.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Data-driven FTIR spectroscopy for the discrimination of nectars
Autorzy:
Binder, Johannes
Roguz, Katarzyna
Grzeda, Justyna
Wróbel, Tomasz
Kudelski, Andrzej
Wysmolek, Andrzej
Szaniawska, Aleksandra
Małek, Kamilla
Opis:
Nectar composition varies across plant species and environments, influencing pollinator interactions and honey quality. Reliable methods for nectar discrimination, however, remain limited. Here, we demonstrate the use of Fourier-transform infrared (FTIR) spectroscopy combined with chemometric analysis to differentiate nectar samples of Echium vulgare (E. vulgare) and Hedera helix (H. helix) collected in urban locations. Among eight tested preprocessing strategies, simple approaches such as Savitzky–Golay smoothing or even raw spectra provided the best clustering results. The most discriminative spectral regions were consistently the carbohydrate fingerprint (1200–950 cm−1) and the C–H stretching zone (2935–2885 cm−1). Mean spectra and PCA confirmed that variability between locations arises mainly from carbohydrate-associated bands, while solvent type, biological matrix, and environmental exposure also affect spectral fingerprints. These results highlight FTIR spectroscopy as a rapid, non-destructive, and robust method for nectar discrimination, with potential applications in food authentication, ecological research, and pollinator–plant studies
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Wyświetlanie 1-10 z 22

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