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Search results for: staff training week
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Skin Conductance Level (SCL) data collected during mental training of group of 30 athletes
Open Research DataThe dataset contain raw Skin Conductance Level (SCL) data, collected at a frequency of 40 Hz and expressed in units of microsiemens (μS), during mental training of group of 30 athletes, under the project "Psychophysiology of guided and self-produced imagery in sport".
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Journal of Vocational Education and Training
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International Journal of Training and Development
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European Journal of Training and Development
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International Journal of Training Research
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Training and Education in Professional Psychology
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EDUCATION AND TRAINING IN DEVELOPMENTAL DISABILITIES
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Journal of Technical Education and Training
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Theatre Dance and Performance Training
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Implementation and performance evaluation of the agent-based algorithm for ANN training
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Agent-Based Approach to RBF Network Training with Floating Centroids
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Generating training data for SART-2 keystroke analysis module
PublicationAnaliza dynamiki pisania na klawiaturze jest jedną z technik biometrycznych, które uwzględniają cechy behawioralne. Trudność związana z informacja na temat dynamiki pisania na klawiaturzepolega na tym, że są to dane bardzo niestabilne. Artykuł prezentuje krótko rozwiązanie wykorzystane w celu zbierania danych uczących oraz ekstrakcji cech dla systemu uwierzytelniania użytkownika na podstawie sposobu korzystania z klawiatury. Następnie...
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Hydroacoustic signals simulations in workstation for training asw helicopter navigators
PublicationPolska Marynarka Wojenna użytkuje śmigłowce wyposażone w systemy pokładowe zmoderni-zowane w ostatnich latach a przeznaczone do wykrywania i śledzenia okrętów podwodnych: sonary z opuszczaną anteną, odbiorniki do nasłuchu i analizy sygnałów z radiohydroboi oraz magnetometry. W artykule przedstawiono pokrótce strukturę trenażera nawigatorów - operatorów tych systemów, wykorzystywanego również jako stanowisko do analizy danych zebranych...
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Nationwide survey on volunteers' training in hospice and palliative care in Poland
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Single incision laparoscopic surgery – is it time for laboratory skills training?
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The Effects of Intermittent Hypoxic Training on Anaerobic Performance in Young Men
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Case study of masts damage of the sail training vessel POGORIA
PublicationArtykuł przedstawia opis i analizę przyczyn zdarzenia polegającego na utracie masztów w lipcu 2009 przez barkentynę sts ''POGORIA'' w trakcie regat Tall Ships Race 2009. Przedstawiono podstawowe okoliczności stanowiące tło zdarzenia, dokonano anlizy przyczyn w skali globalnej, zaprezentowano analizę szczegółową utraty nośności konstrukcji stalowej, a na tym tle wypunktowano szczegółowe przyczyny leżące u źródeł wypadku. We wnioskach...
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INNOVATIVE TRAINING IN BSR – THE AIMS AND TASKS IN MASTER BSR PROJECT
PublicationThe MASTER BSR project’s idea and aims are presented. Moreover, Partners in MASTER BSR are listed and Gdansk University of Technology’ tasks in MASTER BSR are presented.
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Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Training Session" scenario.
Open Research DataThe data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the...
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Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Training Session" scenario.
Open Research DataThe data were collected to perform research on the neural oscillation during mental imagery in sport. The study's main aim was to examine the cortical correlations of imagery depending on instructional modality (guided vs self-produced) using various sport-related scripts. The research was based on the EEG signals recorded during the session with the...
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National Academy of Managerial Staff of Culture and Arts Herald
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Rengel Cane Sia Doctoral Candidate
PeopleI'm Rengel, born and raised in the Philippines. As an undergraduate I did kinetic modeling on Copper-catalyzed atom transfer radical addition (ATRA). Then I was inspired to do both theoretical and experimental studies, which led me to propose my master's thesis on Synthesis, Computational, Electrochemical, and Photoconductivity Studies on Naphthalene and its derivatives. This led to a master's degree in Chemistry in the Mindanao...
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The rationing of nursing care phenomenon in the light of scientific reports – professional and personal satisfaction, life orientation of nursing staff – PART III
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GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition
PublicationIn the paper we present performance-energy trade-off investigation of training Deep Convolutional Neural Networks for image recognition. Several representative and widely adopted network models, such as Alexnet, VGG-19, Inception V3, Inception V4, Resnet50 and Resnet152 were tested using systems with Nvidia Quadro RTX 6000 as well as Nvidia V100 GPUs. Using GPU power capping we found other than default configurations minimizing...
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Workstation for training asw helicopter navigators and analysis real flight data
PublicationW artykule opisane zostało stanowisko szkoleniowo-diagnostyczne i analizy danych skonstruowane z przeznaczeniem dla nawigatorów śmigłowców ASW eksploatowanych w polskiej Marynarce Wojennej i zainstalowane w bazie śmigłowców. Umożliwia ono prowadzanie szkoleń i treningów w zakresie eksploatacji oraz wykonywanie analiz informacji zebranych przez nawigatorów podczas lotów z pokładowego sonaru ASW, odbiornika sygnałów z sonoboi i...
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The effects of resistance training experience on movement characteristics in the bench press exercise
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Effects of concurrent heat and hypoxic training on cycling anaerobic capacity in men
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Resistance Training with Blood Flow Restriction and Ocular Health: A Brief Review
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Modular machine learning system for training object detection algorithms on a supercomputer
PublicationW pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...
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Multimedia polysensory integration training system dedicated to children with educational difficulties
PublicationThis paper aims at presenting a multimedia system providing polysensory train- ing for pupils with educational difficulties. The particularly interesting aspect of the system lies in the sonic interaction with image projection in which sounds generated lead to stim- ulation of a particular part of the human brain. The system architecture, video processing methods, therapeutic exercises and guidelines for children’s interaction...
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Vehicle Detection with Self-Training for Adaptative Video Processing Embedded Platform
PublicationTraffic monitoring from closed-circuit television (CCTV) cameras on embedded systems is the subject of the performed experiments. Solving this problem encounters difficulties related to the hardware limitations, and possible camera placement in various positions which affects the system performance. To satisfy the hardware requirements, vehicle detection is performed using a lightweight Convolutional Neural Network (CNN), named...
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Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
PublicationThis work deals with automatically detecting stuttering and its subclasses. An effective classification of stuttering along with its subclasses could find wide application in determining the severity of stuttering by speech therapists, preliminary patient diagnosis, and enabling communication with the previously mentioned voice assistants. The first part of this work provides an overview of examples of classical and deep learning...
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P.0253 Two-week lithium treatment modulates translocator protein expression in brain regions in the animal models of acute bipolar episodes
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Maximizing Muscle Hypertrophy: A Systematic Review of Advanced Resistance Training Techniques and Methods
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The effects of nordic walking training on blood antioxidant defence in patients with intermittent claudication
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Leveraging Training Strategies of Artificial Neural Network for Classification of Multiday Electromyography Signals
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Urszula Szybowska mgr
PeopleCurrently involved in academic library services and training of Polish and international users of the Gdańsk Tech Library, and Erasmus+ mobility projects. International cooperation coordinator at the Gdańsk Tech Library (2017-2020) ; since 2020 Erasmus+ program coordinator at Gdańsk Tech Library ; social media librarian: Facebook (2018-2023, September), Twitter (@LibraryPG - 2017, October - 2023, September ; @BridgeofData - 2019,...
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Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
PublicationMethods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...
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International Journal of Vocational Education and Training
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Education and Training in Autism and Developmental Disabilities
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International Journal of Athletic Therapy & Training
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Empirical Research in Vocational Education and Training
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Psychotherapy: Theory, Research, Practice, Training
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Infectious Diseases: News, Opinions, Training
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Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublicationArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
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Clinical Training during the COVID-19 Pandemic: Experiences of Nursing Students and Implications for Education
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The impact of military activities on the concentration of mercury in soils of military training grounds and marine sediments
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The Influence of Grip Width on Training Volume During the Bench Press with Different Movement Tempos
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Changes in Muscle Pattern Activity during the Asymmetric Flat Bench Press (Offset Training)
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Effects of Intermittent Hypoxic Training on Aerobic Capacity and Second Ventilatory Threshold in Untrained Men
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