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Wyniki wyszukiwania dla: smart farming
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MIC/MBC values of the investigated extracts of propolis. Interactions of selected extracts with azoles and echinocandins.
Dane BadawczeThis dataset contains results of our investigation aiming in determination of antimicrobial potential of the propolis extracts produced in our laboratory. The propolis samples were delivered by Polish beekeepers. Moreover in this dataset we presented results of our investigation aiming in assessment of interaction of the selected extracts of propolis...
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Krzysztof Wołoszyk dr inż.
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Rewitalizacyjny Living Lab jako metoda generowania i wdrażania innowacji na rzecz odnowy inteligentnego miasta na przykładzie dzielnicy Orunia w Gdańsku
PublikacjaW artykule poruszono kwestię możliwości wykorzystania w uspołecznieniu formuły pracy nad rewitalizacją modelu living lab tzw. żywego (żyjącego) laboratorium. Na tle przykładów praktyki zagranicznej (USA, Niemcy) dokonano odniesienia do doświadczeń polskich zebranych przez Autorkę w ramach współpracy ze społecznością gdańskiej dzielnicy Orunia - św. Wojciech. Zespół naukowy KUiPR WAPG Katedry Urbanistyki i Planowania Regionalnego...
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An Optimal Power Point Tracking Algorithm in a Solar PV Generation System
PublikacjaThe non-linearity in I-V characteristics of a PV panel requires to be operated at knee point to extract maximum power. In order to operate the panel at optimal point, maximum power point tracking (MPPT) algorithm is employed in the control structure. The main objective of MPP tracking is to keep the operation at knee point of I-V characteristics under varying condition of temperature and solar insolation. Under non uniform solar...
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Medical-Grade PCL Based Polyurethane System for FDM 3D Printing—Characterization and Fabrication
PublikacjaThe widespread use of three-dimensional (3D) printing technologies in medicine has contributed to the increased demand for 3D printing materials. In addition, new printing materials that are appearing in the industry do not provide a detailed material characterization. In this paper, we present the synthesis and characterization of polycaprolactone (PCL) based medical-grade thermoplastic polyurethanes, which are suitable for forming...
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Investigating the disease- modifying properties of sclerotiorin in Alzheimer's therapy using acetylcholinesterase inhibition
PublikacjaAlzheimer's disease (AD) is a progressive neurodegenerative disorder caused due to the damage and loss of neurons in specific brain regions. It is the most common form of dementia observed in older people. The symptoms start with memory loss and gradually cause the inability to speak and do day-to-day activities. The cost of caring for those affected individuals is huge and is probably beyond most developing countries capability....
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Forum Innowacyjności Sił Zbrojnych
WydarzeniaOrganizatorami są Ministerstwo Obrony Narodowej, Wojskowa Akademia Techniczna, Narodowe Centrum Badań i Rozwoju
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Rozumienie cechą inteligentnego przedsiębiotstwa
PublikacjaW artykule podniesiono istotę pojęcia ‘rozumienie’ w aspekcie inteligentnego przedsiębiorstwa. Przeprowadzone badania teoretyczne i empiryczne pozwoliły na wyłonienie rozumienia wewnętrznego i zewnętrznego. Rozumienie wewnętrzne w inteligentnym przedsiębiorstwie dotyczy sfer: pracowników oraz całego przedsię-biorstwa. Natomiast rozumienie zewnętrzne skierowane jest na otoczenie i potrze-bę dostosowania przedsiębiorstwa.
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Nowoczesne sterowanie w oczyszczalniach ścieków - sprzęt i oprogramowanie
PublikacjaArtykuł jest jedną z publikacji cyklu prezentującego wyniki projektu 5. Programu Ramowego UE ''SMART Control of wastewater systems - SMAC''. W ostatnim dziesięcioleciu w istotny sposób zostały zaostrzone wymagania dotyczące jakości ścieków oczyszczonych. Z drugiej strony, zmienione warunki funkcjonowania gospodarki wymusiły dążenie do obniżania kosztów oczyszczania ścieków. Prowadzi to do ustalania się nowych standardów oceny jakości...
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Eye tracking within near-to-eye display
PublikacjaIn this paper we investigate the effectiveness of the gaze interaction within near-to-eye display. The practical aspect of the paper is about combining an eye tracker with smart glasses. Presented research is related with the eGlasses project, which is focused on the development of an open platform in the form of multisensory electronic glasses and related interaction methods. One of the implemented interaction methods is the one...
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A Special Section on Intelligent User Interfaces in Healthcare (IUIH)
PublikacjaA concept of interface has evolved from the first appearance in the form of a command line interface to the established use of direct manipulation or WIMP (windows, icons, menus and pointing) interfaces in nearly all applications. Intelligent user interfaces (IUI) form a subfield of Human-Computer Interaction research. Optimal human-computer interactions are defined as ones where users are able to perform complex tasks more quickly...
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Malware - a survey on threats and mitigation techniques
PublikacjaThis paper presents up-to-date knowledge related to malware – malicious software. Firstly the definitions are presented and discussed briefly. Next, the paper presents a bit of motivation along with the malware fighting objectives. Malware poses an emerging threat in accordance to smart grids in general and advanced metering infrastructure in particular. The discussion is then directed towards known taxonomy along with a new proposal...
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Few-Layer Black Phosphorus/Chitosan Nanocomposite Electrodes via Controlled Electrodeposition for Enhanced Electrochemical Kinetic Performance
PublikacjaThis study presents the preparation and characterization of few-layer black phosphorus (FLBP) chitosan electrodes by controlled electrochemical deposition of chitosan nanoparticles on FLBP-modified glassy carbon electrodes. FLBP was prepared by solvent-assisted exfoliation of bulk BP and was further modified with chitosan forming together a nanocomposite, including easy cross-linking with nanomaterials and film-forming properties....
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Heat tint colours on stainless steel and welded joints
PublikacjaSurface layer condition of stainless steels and welded joints influences strongly their corrosion resistance. This problem seems to be underestimated. This current study explains the phenomenon of heat tint forming on welds, the methods of its removal, inspection procedures after heat tint removing and post weld finishing
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LaTeX Lab: Szybki Start w Świecie Formatowania Tekstu
Kursy OnlineCzołem! Naukowe Koło Chemików SPG wita na stronie kursu obsługi programu LaTeX, który (uwierzcie nam na słowo) jest wspaniałym narzędziem do formatowania i tworzenia dokumentów.
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Geology and hydrology 2023
Kursy OnlineW części "geology" studenci zapoznają się z procesami wewnętrznymi i zewnętrznymi, zwłaszcza prowadzącymi do rozpoznawania skał i minerałów. Uczą się metod rozpoznawania i sposobu opisu skał i minerałów. Zapoznają się z warunkami występowania wód podziemnych, uczą się interpretacji danych geologicznych i hydrogeologicznych. W części "hydrology" studenci zapoznają się z nastepującą tematyką: formowanie się opadu, pomiar opadu,...
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Geology and hydrology
Kursy OnlineW części "hydrology" studenci zapoznają się znastepującą tematyką: formowanie się opadu, pomiar opadu, spływ powierzchniowy, nadwyżka opadu, hydrogram jednostkowy, transformacja fali wezbraniowej, przepływ w kanale otwartym, podstawowe informacje o budowlach hydrotechnicznych. W częśi "geology" studenci zapoznają się z procesami wewnętrznymi i zewnętrznymi, zwłaszcza prowadzącymi do rozpoznawania skał i minerałów. Uczą się metod...
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Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublikacjaComplexity and unpredictability nature of earthquakes makes them unique external loads that there is no unique formula used for the prediction of seismic responses. Hence, this research aims to implement the most well-known Machine Learning (ML) methods in Python software to propose a prediction model for seismic response and performance assessment of Reinforced Concrete Moment-Resisting Frames (RC MRFs). To prepare 92,400 data...
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Evaluation the P-Delta Effect on Collapse Capacity of Adjacent Structures Subjected to Far-field Ground Motions
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Predicting the seismic collapse capacity of adjacent SMRFs retrofitted with fluid viscous dampers in pounding condition
PublikacjaSevere damages of adjacent structures due to structural pounding during earthquakes have emphasized the need to use some seismic retrofit strategy to enhance the structural performance. The purpose of this paper is to study the influence of using linear and nonlinear Fluid Viscous Dampers (FVDs) on the seismic collapse capacities of adjacent structures prone to pounding and proposing modification factors to modify the median...
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Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
PublikacjaEfficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and retrofitting costs. The complexity of modeling, analysis, and post-processing of the results makes it hard to fast-track the seismic probabilities, and there is a need to optimize the computational time. This research addresses seismic probability and risk assessment of reinforced...
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Predicting the seismic collapse capacity of adjacent structures prone to pounding
PublikacjaIn crowded cities, many structures are often constructed in a very close vicinity; therefore, during severe earthquakes, pounding phenomenon occurs due to out-of-phase vibrations of adjacent structures. In this study, pounding of adjacent structures is investigated up to the occurrence of total collapse. The novelty of this study is performing incremental dynamic analyses to compute the seismic collapse capacities of both pounding...
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Evaluation the P-Delta Effect on Collapse Capacity of Adjacent Structures Subjected to Far-field Ground Motions
PublikacjaIn urban areas, adjacent structures can be seen in any insufficient distance from each other, because of economic reasons and refusal of acquired minimum separation distance according to seismic previsions. Collapse capacity assessment of structures is one of the important objectives of performance-based seismic engineering. The purpose of this study is to consider the pounding phenomenon and P-Delta effect in seismic collapse...
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Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
PublikacjaNowadays, due to improvements in seismic codes and computational devices, retrofitting buildings is an important topic, in which, permanent deformation of buildings, known as Residual Interstory Drift Ratio (RIDR), plays a crucial role. To provide an accurate yet reliable prediction model, 32 improved Machine Learning (ML) algorithms were considered using the Python software to investigate the best method for estimating Maximum...
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Enhancing seismic performance of buckling-restrained brace frames equipped with innovative bracing systems
PublikacjaNowadays, to improve the performance of conventional bracing systems, in which, buckling in the pressure loads is the main disadvantage, the buckling-restrained brace (BRB) is introduced as a solution. In this study, the performance of the BRB system was improved with innovative lateral-resisting systems of double-stage yield buckling-restrained brace (DYB), and a combination of DYB improved with shape memory alloy (SMA) materials...
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Enhancing seismic performance of steel buildings having semi-rigid connection with infill masonry walls considering soil type effects
PublikacjaUnpreventable constructional defects are the main issues in the case of steel Moment-Resisting Frames (MRFs) that mostly occur in the rigidities of beam-to-column connections. The present article aims to investigate the effects of different rigidities of structures and to propose Infill Masonry Walls (IMWs) as retrofitting strategy for the steel damaged buildings. A fault or failure to meet a certain consideration of the soil type...
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Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
PublikacjaPredicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...
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Probabilistic assessment of SMRFs with infill masonry walls incorporating nonlinear soil-structure interaction
PublikacjaInfill Masonry Walls (IMWs) are used in the perimeter of a building to separate the inner and outer space. IMWs may affect the lateral behavior of buildings, while they are different from those partition walls that separate two inner spaces. This study focused on the seismic vulnerability assessment of Steel Moment-Resisting Frames (SMRFs) assuming different placement of IMWs incorporating nonlinear Soil-Structure Interaction (SSI)....
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublikacjaMany 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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Seismic Response Analysis of Knee-Braced Steel Frames Using Ni-Ti Shape Memory Alloys (SMAs)
PublikacjaShape Memory Alloys (SMAs) are known as active materials that can be widely used for structural purposes due to their flag-shape behavior under loading and reloading. Their unique characteristics provided a potential solution for civil engi-neers especially to model buildings with the capability of dissipating seismic en-ergy. In this study, the main purpose is to explore the seismic behavior of Knee-Braced Frames (KBFs) and...
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Enhancing Seismic Performance of Semi-rigid Connection Using Shape Memory Alloy Bolts Considering Nonlinear Soil–Structure Interaction
PublikacjaSteel Moment-Resisting Frames (SMRFs) have their lateral resistance for their rigid connections, while real conditions have shown that the rigidity of a connection depends on the bolts and the end-plate thickness, which may not provide the assumed rigidity in design process. In this research, the main goal is to enhance the semi-rigid connections using shape memory alloy (SMA) bolts and explore their effects on the seismic limit-state...
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Optimal retrofit strategy using viscous dampers between adjacent RC and SMRFs prone to earthquake‑induced pounding
PublikacjaNowadays, retrofitting-damaged buildings is an important challenge for engineers. Finding the optimal placement of Viscous Dampers (VDs) between adjacent structures prone to earthquake-induced pounding can help designers to implement VDs with optimizing the cost of construction and achieving higher performance levels for both structures. In this research, the optimal placement of linear and nonlinear VDs between the 3-story, 5-story,...
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Predicting the seismic collapse capacity of adjacent SMRFs retrofitted with fluid viscous dampers in pounding condition
PublikacjaSevere damages of adjacent structures due to structural pounding during earthquakes have emphasized the need to use some seismic retrofit strategy to enhance the structural performance. The purpose of this paper is to study the influence of using linear and nonlinear Fluid Viscous Dampers (FVDs) on the seismic collapse capacities of adjacent structures prone to pounding and proposing modification factors to modify the median...
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Video DATA - Traffic generation modeling for discount shops - Chrobrego Street
Dane BadawczeThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 75 Chrobrego street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number...
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Video DATA - Traffic generation modeling for discount shops - Czerska Street
Dane BadawczeThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 71 Czerska street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of...
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Video DATA - Traffic generation modeling for discount shops - Gdanska Street
Dane BadawczeThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 21C Gdanska street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of...
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Video DATA - Traffic generation modeling for discount shops - Dragana Street
Dane BadawczeThe data includes video traffic data (vehicles, pedestrians, cyclists) registered at 27 Dragana street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of...
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Role patterns in IT projects teams - design of a selection module using fuzzy logic techniques
PublikacjaPresented paper introduces an approach based on usage of role patterns and modelling by the use of fuzzy logic tool for selection process with limitation to the area of IT projects environment. The article shows a concept of role patterns structures and their further usage in process of forming a fuzzy model dedicated to candidate assessment process support
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Iwona Nowakowska dr
OsobyAdiunkt badawczo-dydaktyczny w Instytucie Psychologii Akademii Pedagogiki Specjalnej im. Marii Grzegorzewskiej w Warszawie. Absolwentka psychologii (Uniwersytet Warszawski, 2019), doktor nauk społecznych w dyscyplinie psychologia (Akademia Pedagogiki Specjalnej im. Marii Grzegorzewskiej, 2022). Prowadziła badania w obszarach: pogranicza psychologii społecznej i klinicznej oraz społecznej i różnic indywidualnych. Obecna aktywność...
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Inteligentna Synteza Niskich Częstotliwości w urządzeniach mobilnych
PublikacjaW pracy przedstawiono algorytm inteligentnej adaptacji parametrów syntezy niskich częstotliwości w urządzeniach przenośnych w zależności od odtwarzanego gatunku muzycznego (Smart VBS). Proponowany algorytm wykorzystuje metody generacji harmonicznych oparte na generatorze funkcji nieliniowych (NLD) i wokoderze fazowym (PV). Dla znalezienia optymalnych parametrów syntezy przeprowadzono testy subiektywne sprawdzające powiązanie parametrów...
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Identification of nonstationary processes using noncausal bidirectional lattice filtering
PublikacjaThe problem of off-line identification of a nonstationary autoregressive process with a time-varying order and a time-varying degree of nonstationarity is considered and solved using the parallel estimation approach. The proposed parallel estimation scheme is made up of several bidirectional (noncausal) exponentially weighted lattice algorithms with different estimation memory and order settings. It is shown that optimization of...
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Sławomir Ostrowski dr inż.
OsobySławomir Ostrowski jest pracownikiem naukowo-dydaktycznym zatrudnionym na stanowisku adiunkta w Katedrze Informatyki w Zarządzaniu na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W 2018 roku uzyskał stopień doktora nauk ekonomicznych w dyscyplinie: nauki o zarządzaniu. Absolwent jednolitych studiów magistersko-inżynierskich na kierunku Zarządzanie (specjalność Zarządzanie Technologiami IT) na Wydziale Zarządzania i Ekonomii...
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Lighting education for architects, the barriers and challenges: a survey of architecture students
PublikacjaCreating a well-lit environment requires the understanding of daylight and electric lighting design principles within the built environment. Recent years have brought a large number of new lighting assessment and design methods. The discovery of new photoreceptor cells in the eye - photosensitive retinal ganglion cells - forced lighting researchers to focus on parametrisation for the image forming (IF) and non-image forming (NIF)...
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DESIGN THINKING ORIENTED METHODOLOGY IN GROUP PROJECT AS A STEP IN THE CDIO APPROACH
PublikacjaRecently much scientific research and industrial work is conducted in multidisciplinary teams, where cooperation between specialists from different areas of expertise is required in order to successfully address the challenging goals. Moreover, in start-up small companies the lack of supporting departments calls for additional multidisciplinary, economic and networking skills known as T-shaped personality. Recognizing these shortcomings...
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Skin Conductance Level (SCL) data collected during mental training of group of 30 athletes
Dane BadawczeThe 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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How to meet when you forget: log-space rendezvous in arbitrary graphs
PublikacjaTwo identical (anonymous) mobile agents start from arbitrary nodes in an a priori unknown graph and move synchronously from node to node with the goal of meeting. This rendezvous problem has been thoroughly studied, both for anonymous and for labeled agents, along with another basic task, that of exploring graphs by mobile agents. The rendezvous problem is known to be not easier than graph exploration. A well-known recent result...
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Improving the Survivability of Carrier Networks to Large-Scale Disasters
PublikacjaThis chapter is dedicated to the description of methods aiming to improve the survivability of carrier networks to large-scale disasters. First, a disaster classification and associated risk analysis is described, and the disaster-aware submarine fibre-optic cable deployment is addressed aiming to minimize the expected costs in case of natural disasters. Then, the chapter addresses the improvement of the network connectivity resilience...
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Functional properties of edible films for food applications - a review
PublikacjaApplication of natural polymers to forming edible films for food applications has been reviewed. Due to the hydrophilic nature of proteins and polysaccharides, films prepared from these polymers are too susceptible to moisture. Modification of them with critically selected a suitable compounds can result in their improved functional properties and making them useful for food packaging.
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Bezpieczeństwo elektroenergetyczne dla pokoleń
PublikacjaW artykule przeanalizowano źródła energii pierwotnej, ich wystarczalnośći dywersyfikację w skali lokalnej i globalnej, problem dekarbonizacji polskiej elektroenergetyki na tle europejskiej polityki klimatycznej, osiągalność źródeł gazu jako efektywnego paliwa dla energetyki, polski program energetyki jądrowej, bezpieczeństwo zasilania elektrycznych systemów trakcyjnych jako strategicznej alternatywy...
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Mateusz Daśko dr inż.
OsobyDr inż. Mateusz Daśko urodził się w 1990 roku w Kołobrzegu. Od 2009 roku związany jest z Politechniką Gdańską gdzie uzyskał stopień inżyniera (2013) oraz magistra (2014) na kierunku biotechnologia. W 2014 rozpoczął Studia Doktoranckie na Wydziale Chemicznym Politechniki Gdańskiej, gdzie zajmował się projektowaniem oraz syntezą chemiczną nowych inhibitorów sulfatazy steroidowej jako potencjalnych leków przeciwnowotworowych w grupie...