Wyniki wyszukiwania dla: CROSS-CULTURAL COMPETENCES TRAINING - MOST Wiedzy

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Wyniki wyszukiwania dla: CROSS-CULTURAL COMPETENCES TRAINING

Wyniki wyszukiwania dla: CROSS-CULTURAL COMPETENCES TRAINING

  • Intercultural interactions in multinational subsidiaries

    Publikacja
    • M. Rozkwitalska
    • M. Chmielecki
    • S. Przytula
    • L. Sulkowski
    • B. Basińska

    - Baltic Journal of Management - Rok 2017

    Purpose - Our aim is to show how individuals perceive the quality of intercultural interactions at work in multinational subsidiaries, and to address the question of what actually prevails in their accounts, i.e. ‘the dark side’ or ‘the bright side’. Design/methodology/approach - We report the findings from five subsidiaries located in Poland and interviews with 68 employees of these companies. Findings - The ‘bright side’ dominated...

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  • Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET)

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2021

    Segmentation of a brain tumor from magnetic resonance multimodal images is a challenging task in the field of medical imaging. The vast diversity in potential target regions, appearance and multifarious intensity threshold levels of various tumor types are few of the major factors that affect segmentation results. An accurate diagnosis and its treatment demand strict delineation of the tumor affected tissues. Herein, we focus on...

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  • Toward Robust Pedestrian Detection With Data Augmentation

    Publikacja

    In this article, the problem of creating a safe pedestrian detection model that can operate in the real world is tackled. While recent advances have led to significantly improved detection accuracy on various benchmarks, existing deep learning models are vulnerable to invisible to the human eye changes in the input image which raises concerns about its safety. A popular and simple technique for improving robustness is using data...

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  • Agnieszka Pastula Dr

    Osoby

    Agnieszka received her masters degree in biology at Jagiellonian University (Poland). Besides standard university classes, she did multiple extracurricular research internships in both basic science and medical life sciences e.g. at Warsaw University, Jagiellonian University College of Medicine, University of Medical Sciences in Poznań and University Medical Center Utrecht, that provided her with excellent interdisciplinary training...

  • How can HSR promote inter-city collaborative innovation across regional borders?

    Publikacja

    - Rok 2023

    Many studies have shown that high-speed rail (HSR) can reshape the spatial pattern of economic geography. However, there needs to be more logical argumentation and rigorous empirical design on the paths and mechanisms involved. This paper considers the impact of the border effect on HSR links and innovation clusters from the perspective of inter-regional collaborative innovation. It provides a logical and compact theoretical...

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  • Jolanta Kowal dr hab.

    Osoby

    Jolanta Kowal has a Post-doctoral Degree in Social Sciences (dr hab., DSc) in the field of economics and finance, an assistant professor, researcher, and lecturer in the Institute of Psychology of Wroclaw University, and a professor of the Gdańsk University of Technology, Poland, a Jungian analyst. Jolanta from 2014 held functions in the Board of the Polish Chapter of the Association for Information Systems (PLAIS) (President 2015-2018,...

  • The Influence of Selecting Regions from Endoscopic Video Frames on The Efficiency of Large Bowel Disease Recognition Algorithms

    The article presents our research in the field of the automatic diagnosis of large intestine diseases on endoscopic video. It focuses on the methods of selecting regions of interest from endoscopic video frames for further analysis by specialized disease recognition algorithms. Four methods of selecting regions of interest have been discussed: a. trivial, b. with the deletion of characteristic, endoscope specific additions to the...

  • Etyka - o konieczności dyskursu etycznego w organizacjach

    Do budowania zasad dobrego funkcjonowania organizacji, do odkrywania mechanizmów jej funkcjonowania, analizowania ludzkich potrzeb i możliwości ich realizowania, do wpływu warunków ekonomicznych i kulturowych na sposób funkcjonowania organizacji – do tych problemów przywiązuje się wielką wagę w naukach o zarządzaniu. Czy równie dużą wagę przykłada się – i docenia – rangę zachowań ludzkich w sferze moralnej, wpływ zasad etycznych...

  • Milena Marycz dr inż.

  • Jakub Jan Chabik dr inż.

    Biogram Jakub Chabik jest absolwentem Politechniki Wrocławiskiej oraz studiów MBA na Uniwersytecie Ekonomicznym w Poznaniu. Posiada stopień naukowy doktora zarządzania. Kariera zawodowa Od 30 lat pracuje w międzynarodowych firmach na stanowiskach związanych z technologiami informatycznymi i zarządzaniem. W przesżłości prowadził projekt połaczenia dwóch instytucji finansowych, prowadząc fundamentalną zmianę kulturową w okresie szybkiego...

  • Koncepcja logistycznego usprawnienia magazynu cross-dockowego przedsiębiorstwa X

    Publikacja

    Celem artykułu jest przedstawienie koncepcji logistycznego usprawnienia magazynu cross- -dockowego przedsiębiorstwa X. W oparciu o informacje dotyczące stanu faktycznego maga- zynu zostały przeprowadzone badania procesów magazynowych. Po przeprowadzeniu identyfikacji problemów zostały zaproponowane usprawnienia wybranego procesu magazynowego, które polegały na propozycji zmiany sposobu zagospodarowania magazynu. Do tego...

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  • Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures

    Many studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...

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  • Magnetic Signature Description of Ellipsoid-Shape Vessel Using 3D Multi-Dipole Model Fitted on Cardinal Directions

    Publikacja

    - IEEE Access - Rok 2022

    The article presents a continuation of the research on the 3D multi-dipole model applied to the reproduction of magnetic signatures of ferromagnetic objects. The model structure has been modified to improve its flexibility - model parameters determined by optimization can now be located in the cuboid contour representing the object's hull. To stiffen the model, the training dataset was expanded to data collected from all four cardinal...

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  • Tomasz Janowski dr

    Tomasz Janowski jest kierownikiem Katedry Informatyki w Zarządzaniu, Politechnika Gdańska; profesorem wizytującym w Department for E-Governance and Administration, University for Continuing Education Krems, Austria; oraz współredaktorem naczelnym czasopisma Government Information Quarterly, Elsevier. Wcześniej był założycielem i kierownikiem United Nations University Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV),...

  • Job satisfaction in the multicultural environment of multinational corporations

    Publikacja

    - Baltic Journal of Management - Rok 2015

    Purpose – Since prior research into the effects of multiculturalism on job satisfaction in multinational corporations (MNCs) is rather scant and inconclusive, the authors attempt to review the literature and explain why these results are inconsistent as well as propose a new model aimed at responding to these irregularities. Design/methodology/approach – In the narrative review of the prior research and the proposed model the...

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  • Low-Cost Modeling of Microwave Components by Means of Two-Stage Inverse/Forward Surrogates and Domain Confinement

    Full-wave electromagnetic (EM) analysis is one of the most important tools in the design of modern microwave components and systems. EM simulation permits reliable evaluation of circuits at the presence of cross-coupling effects or substrate anisotropy, as well as for accounting for interactions with the immediate environment. However, repetitive analyses required by EM-driven procedures, such as parametric optimization or statistical...

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  • A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages

    Publikacja
    • N. Khairova
    • O. Mamyrbayev
    • N. Rizun
    • M. Razno
    • G. Ybytayeva

    - IEEE Access - Rok 2023

    These days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...

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  • Psychometric properties of the polish version of the job-related affective well-being scale

    Publikacja

    Objectives: The aim of this study was to verify psychometric properties of the Polish version of the Job-related Affective Well-being Scale (JAWS). Specifically, theoretical 4-factor structure (based on the dimensions of pleasure and arousal) and reliability of the original – 20-item JAWS (van Katwyk et al., 2000) and the shortened – 12-item (Schaufeli and Van Rhenen, 2006) versions were tested. Material and Methods: Two independent...

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  • Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

    Publikacja
    • R. W. Aslam
    • H. Shu
    • I. Naz
    • A. Quddoos
    • A. Yaseen
    • K. Gulshad
    • S. Saud Alarifi

    - Remote Sensing - Rok 2024

    Wetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...

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  • The effects of relational and psychological capital on work engagement: the mediation of learning goal orientation

    Publikacja

    - JOURNAL OF ORGANIZATIONAL CHANGE MANAGEMENT - Rok 2022

    Purpose – This paper proposes a research model in which learning goal orientation (LGO) mediates the impacts of relational capital and psychological capital (PsyCap) on work engagement. Design/methodology/approach – Data obtained from 475 managers and employees in the manufacturing and service industries in Poland were utilized to assess the linkages given above. Common method variance was controlled by the unmeasured latent method...

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  • Ensembling noisy segmentation masks of blurred sperm images

    Background: Sperm tail morphology and motility have been demonstrated to be important factors in determining sperm quality for in vitro fertilization. However, many existing computer-aided sperm analysis systems leave the sperm tail out of the analysis, as detecting a few tail pixels is challenging. Moreover, some publicly available datasets for classifying morphological defects contain images limited only to the sperm head. This...

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  • Recent advances in high-frequency modeling by means of domain confinement and nested kriging

    Development of modern high-frequency components and circuits is heavily based on full-wave electromagnetic (EM) simulation tools. Some phenomena, although important from the point of view of the system performance, e.g., EM cross-coupling effects, feed radiation in antenna arrays, substrate anisotropy, cannot be adequately accounted for using simpler means such as equivalent network representations. Consequently, the involvement...

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  • Advancing the evidence base for public policies impacting on dietary behaviour, physical activity and sedentary behaviour in Europe: The Policy Evaluation Network promoting a multidisciplinary approach

    Publikacja
    • J. Lakerveld
    • C. Woods
    • A. Hebestreit
    • H. Brenner
    • M. Flechtner-Mors
    • J. M. Harrington
    • C. B. Kamphuis
    • M. Laxy
    • A. Luszczynska
    • M. Mazzocchi... i 10 innych

    - FOOD POLICY - Rok 2020

    Non-communicable diseases (NCDs) are the leading cause of global mortality. As the social and economic costs of NCDs have escalated, action is needed to tackle important causes of many NCD’s: low physical activity levels and unhealthy dietary behaviours. As these behaviours are driven by upstream factors, successful policy interventions are required that encourage healthy dietary behaviours, improve physical activity levels and...

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  • Verification of the Parameterization Methods in the Context of Automatic Recognition of Sounds Related to Danger

    W artykule opisano aplikację, która automatycznie wykrywa zdarzenia dźwiękowe takie jak: rozbita szyba, wystrzał, wybuch i krzyk. Opisany system składa się z bloku parametryzacji i klasyfikatora. W artykule dokonano porównania parametrów dedykowanych dla tego zastosowania oraz standardowych deskryptorów MPEG-7. Porównano też dwa klasyfikatory: Jeden oparty o Percetron (sieci neuronowe) i drugi oparty o Maszynę wektorów wspierających....

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  • Tomasz Szymański dr inż. arch.

    Tomasz Szymański (dr inż. arch.) jest architektem i adiunktem na Wydziale Architektury Politechniki Gdańskiej. Absolwent Wydziału Architektury Politechniki Gdańskiej. Studia zakończone dyplomem z wyróżnieniem. Zainteresowania badawcze dr. Tomasza Szymańskiego skoncentrowane są wokół kwestii dziedzictwa przemysłowego, re-use, adaptacji i rewitalizacji obiektów poprzemysłowych, obiektów poportowych i postoczniowych na nowe funkcje...

  • Damian Ciachorowski

    Osoby

    Doktorant w dziedzinie Zrównoważonej Transformacji Cyfrowej na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. Ekspert w dziedzinie organizacji pozarządowych. Specjalizuje się w tworzeniu strategii rozwoju, budowaniu zespołów międzykulturowych oraz akceleracji i zarządzaniu organizacjami pozarządowymi. Zainteresowania badawcze  Zrównoważona transformacja cyfrowa  Kreatywność w procesach zarządzania zespołem  AI Management...

  • Jolanta Kowal dr hab.

    Osoby

    Jolanta Kowal has a Post-doctoral Degree in Social Sciences (dr hab., DSc) in the field of economics and finance, an assistant professor, researcher, and lecturer in the Institute of Psychology of Wroclaw University, and a professor of the Gdańsk University of Technology, Poland, a Jungian analyst, an associate certified coach of International Coach Federation (ACC, ICF). Jolanta from 2014 held functions in the Board of the Polish...

  • Wiktoria Wojnicz dr hab. inż.

    DSc in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2019  PhD in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2009 (with distinction)   Publikacje z listy MNiSW (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis...