Filters
total: 7498
-
Catalog
- Publications 2095 available results
- Journals 174 available results
- Publishing Houses 1 available results
- People 124 available results
- Inventions 9 available results
- Projects 18 available results
- Laboratories 4 available results
- Research Teams 12 available results
- e-Learning Courses 259 available results
- Events 74 available results
- Open Research Data 4728 available results
displaying 1000 best results Help
Search results for: denial
-
OTHER AND UNSPECIFIED MALE GENITAL ORGANS, Seminal vesicle - Male, 80 - Tissue image [6160730013031691]
Open Research DataThis is the histopathological image of OTHER AND UNSPECIFIED MALE GENITAL ORGANS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
OTHER AN UNSPECIFIED FEMALE GENITAL ORGANS, Fallopian tube - Female, 33 - Tissue image [9160729581057011]
Open Research DataThis is the histopathological image of OTHER AN UNSPECIFIED FEMALE GENITAL ORGANS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
OTHER AN UNSPECIFIED FEMALE GENITAL ORGANS, Fallopian tube - Female, 42 - Tissue image [6210730043058701]
Open Research DataThis is the histopathological image of OTHER AN UNSPECIFIED FEMALE GENITAL ORGANS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
OTHER AN UNSPECIFIED FEMALE GENITAL ORGANS, Parovarian region - Female, 57 - Tissue image [3220630024686051]
Open Research DataThis is the histopathological image of OTHER AN UNSPECIFIED FEMALE GENITAL ORGANS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
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".
-
Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Your Home Venue" 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...
-
Power of the SMR brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.
Open Research DataThe data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates 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...
-
Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Your Home Venue" 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...
-
Hossein Nejatbakhsh Esfahani Dr.
PeopleMy research interests lie primarily in the area of Learning-based Safety-Critical Control Systems, for which I leverage the following concepts and tools:-Robust/Optimal Control-Reinforcement Learning-Model Predictive Control-Data-Driven Control-Control Barrier Function-Risk-Averse Controland with applications to:-Aerial and Marine robotics (fixed-wing UAVs, autonomous ships and underwater vehicles)-Multi-Robot and Networked Control...
-
Situational Awareness Network for the Electric Power System: the Architecture and Testing Metrics
PublicationThe contemporary electric power system is highly dependent on Information and Communication Technologies which results in its exposure to new types of threats, such as Advanced Persistent Threats (APT) or Distributed-Denial-of-Service (DDoS) attacks. The most exposed components are Industrial Control Systems in substations and Distributed Control Systems in power plants. Therefore, it is necessary to ensure the cyber security of...
-
Proximal fibular osteotomy as a treatment for degenerative meniscal extrusion
PublicationMeniscal extrusion treatment is a key focus area for research and clinical study of degenerative knee pathology. The contact forces between the meniscus and the bones cause external displacements of the meniscus that are resisted by the circumferential fibres. The main risk factors for the excessive deformation of the meniscus are meniscal root tears, disruption of the circumferential fibres, knee malalignment and high body mass...
-
Acute renal failure with tubular necrosis - Male, 11 - Tissue image [1216063001263201]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with medullary necrosis - Male, 72 - Tissue image [12020630021663171]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 0 - Tissue image [7060729599324761]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Female, 60 - Tissue image [10080730015788841]
Open Research DataThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 36 - Tissue image [1060629594995461]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Female, 60 - Tissue image [10080730015785931]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with medullary necrosis - Male, 72 - Tissue image [12020630021663961]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 36 - Tissue image [1060629594996991]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 0 - Tissue image [7060729599329731]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 11 - Tissue image [12160630012639491]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 36 - Tissue image [1060629594995521]
Open Research DataThis is the histopathological image of ADRENAL GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Acute renal failure with tubular necrosis - Male, 0 - Tissue image [7060729599321531]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Tomasz Parteka prof. dr hab. inż.
People -
Explainable machine learning for diffraction patterns
PublicationSerial crystallography experiments at X-ray free-electron laser facilities produce massive amounts of data but only a fraction of these data are useful for downstream analysis. Thus, it is essential to differentiate between acceptable and unacceptable data, generally known as ‘hit’ and ‘miss’, respectively. Image classification methods from artificial intelligence, or more specifically convolutional neural networks (CNNs), classify...
-
PRACA PRZEJŚCIOWA ZESPOŁOWA - TRANSPORT II, IST, sem 2, zimowy 2023-24 - PG_00058652
e-Learning CoursesPRACA PRZEJŚCIOWA ZESPOŁOWA - projekt Transport II, IST prowadzący: Daniel PIĄTEK
-
PRACA PRZEJŚCIOWA ZESPOŁOWA - TRANSPORT II, IST, sem 2, zimowy 2022-23 - PG_00058652
e-Learning CoursesPRACA PRZEJŚCIOWA ZESPOŁOWA - projekt Transport II, IST prowadzący: Daniel PIĄTEK
-
Modelowanie układów hydraulicznych, PG_00059393, W, P, L, MiBM ns, sem. 2, zimowy 2023/24
e-Learning CoursesModelowanie układów hydraulicznych dla MiBM ns, sem. 2prowadzący: dr. inż Daniel PIĄTEK
-
Mirosław Kazimierz Gerigk dr hab. inż.
People -
Power of the high alpha brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.
Open Research DataThe data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates 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...
-
Power of the low alpha brainwaves in the mental imagery experiment in sport: the "Start in High Level Championship" scenario.
Open Research DataThe data were collected to perform research on the neural oscillation during mental imagery in sport. The main aim of the study was to examine the cortical correlates 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...
-
Daniel Wojciechowski dr hab. inż.
People -
The Action Mechanisms, Anti-Cancer and Antibiotic-Modulation Potential of Vaccinium myrtillus L. Extract
PublicationHerbal medicinal products containing Vaccinium myrtillus L. (bilberry) fruits and fruit extracts are widely available in the market. Although bilberry leaves and stems are considered as bio-waste, they contain much higher levels of phenolic compounds than fruits. The study aimed to investigate the antimicrobial and anticancer potential of aerial part extracts from Vaccinium myrtillus L. (V. myrtillus, VM) plants harvested at high...
-
Karolina Makowska-Jarosik dr inż.
PeopleKarolina Makowska-Jarosik graduated from the High School in Nowy Dwór Gdański in 2009. She continued her education at the Faculty of Civil and Environmental Engineering at the Gdansk University of Technology (1st degree studies) and Faculty Of Mining Surveying And Environmental Engineering at the AGH University of Science and Technology (2nd degree studies). In 2015, she obtained the title of Master of Science in Geodesy and Cartography...
-
Clear cell renal cell carcinoma, NOS - Female, 64 - Tissue image [5290730025513781]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [5290730025509651]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Female, 69 - Tissue image [619073001734801]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [6180730013797321]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 65 - Tissue image [5290730025504381]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025879481]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [61807300137831]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017347281]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Female, 69 - Tissue image [6190730017349921]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [5290730025501971]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 65 - Tissue image [529073002550931]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Female, 69 - Tissue image [6190730017347681]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [6190730017343501]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 69 - Tissue image [6180730013784871]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Male, 57 - Tissue image [5300730025879381]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
-
Clear cell renal cell carcinoma, NOS - Female, 77 - Tissue image [619073001734751]
Open Research DataThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.