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Filtry wybranego katalogu
Wyniki wyszukiwania dla: PROF. EDWARD T. GEISLER
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Zasłużeni geotechnicy : prof. dr hab. inż. Kazimierz Gwizdała
PublikacjaDOROBEK NAUKOWY
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CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins
PublikacjaThe CHASE-PL (Climate change impact assessment for selected sectors in Poland) Forcing Data–Gridded Daily Precipitation & Temperature Dataset–5 km (CPLFD-GDPT5) consists of 1951–2013 daily minimum and maximum air temperatures and precipitation totals interpolated onto a 5 km grid based on daily meteorological observations from the Institute of Meteorology and Water Management (IMGW-PIB; Polish stations), Deutscher Wetterdienst...
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The structure of levorin A3, a minor component of levorin complex
PublikacjaBudowa chemiczna składnika kompleksu leworyn, leworyny A3, została ustalona na podstawie analizy z wykorzystaniem metod spektroskopowych UV, MS i NMR metoksykarbonylometyloamido pochodnej leworyny A3. Widmo UV wskazało obecność chromoforu heptaenowego. Ciężar cząsteczkowy leworyny A3 ustalono jako 1110 j.m. za pomocą spektrometrii masowej z wykorzystaniem techniki FAB, co po uwzględnieniu uwarunkowań biogenetycznych pozwoliło wydedukować...
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Influence of a lipid bilayer on the conformational behavior of amphotericin B derivatives - A molecular dynamics study.
PublikacjaAmphotericin B (AmB) is an effective but very toxic antifungal antibiotic. In our laboratory a series of AmB derivatives of improved selectivity of action was synthesized and tested. To understand molecular basis of this improvement, comparative conformational studies of amphotericin B and its two more selectivederivatives were carried out in an aqueous solution and in a lipid membrane. These molecular simulation studies revealed...
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Aromatic heptaene antibiotics as an alternative for synthetic triazole fungicides in plant protection
PublikacjaAn in vitro antifungal activity of candicidin and ascosin antibiotics (0,01-10 μg/mL) towards representative strains of phytopathogenic fungi was detd. Both compds. exhibited similar half max. effective concns. inhibiting growth of the fungi as that of tebuconazole used for comparison.
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Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario
PublikacjaComputer integrated manufacturing (CIM) has enormous benefits as it increases the rate of production, reduces errors and production waste, and streamlines manufacturing sub-systems. However, there are some new challenges related to CIM operating in the Internet of Things/Internet of Data (IoT/IoD) scenarios associated with Industry 4.0 and cyber-physical systems. The main challenge is to deal with the massive volume of data flowing...
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Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0
PublikacjaIndustry 4.0 offers a comprehensive, interlinked, and holistic approach to manufacturing. It connects physical with digital and allows for better collaboration and access across departments, partners, vendors, product, and people. Consequently, it involves complex designing of highly specialized state of the art technologies. Thus, companies face formidable challenges in the adoption of these new technologies....
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Decisional-DNA-Based Digital Twin Implementation Architecture for Virtual Engineering Objects
PublikacjaDigital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data analytics for product and process control. Conventional manufacturing setups are still widely used all around the world for the fabrication of large-scale production. This article proposes a general DT implementation architecture for engineering objects/artifacts...
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Effect of high pressure of selected bacteria at subzero temperature
PublikacjaCelem pracy było określenie przeżywalności wybranych bakterii gramdodatnich i gramujemnych poddanych działaniu podwyższonego ciśnienia w zakresie od 60 do 193 MPa w ujemnej temperaturze. Wrażliwość bakterii na zwiększone ciśnienie zależy od fazy wzrostu w jakiej się one znajdują. Z reguły bakterie gramdodatnie są bardziej odporne na ciśnienie niż bakterie gramujemne. Wykazano, że różnice w odporności pojawiają się nie tylko pomiędzy...
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Proximal primal–dual best approximation algorithm with memory
PublikacjaWe propose a new modified primal–dual proximal best approximation method for solving convex not necessarily differentiable optimization problems. The novelty of the method relies on introducing memory by taking into account iterates computed in previous steps in the formulas defining current iterate. To this end we consider projections onto intersections of halfspaces generated on the basis of the current as well as the previous...
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Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
PublikacjaMachine learning and Artificial Intelligence have grown significant attention from industry and academia during the past decade. The key reason behind interest is such technologies capabilities to revolutionize human life since they seamlessly integrate classical networks, networked objects and people to create more efficient environments. In this paper, the Knowledge Representation technique of Set of Experience...
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Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework
PublikacjaThe entire manufacturing spectrum is transforming with the advent of Industry 4.0. The features of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA) were utilized for developing Virtual Engineering Objects (VEO), Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF), which in turn facilitate the creation of smart factories. In this study, DDNA based Machine Monitoring for Total Maintenance...
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Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension
PublikacjaThe Semantic Web concept is proposing a future concept of the WorldWideWeb (WWW) where both humans and man-made systems are able to interconnect and exchange knowledge. One of the challenges of Semantic Web is smart and trusted accommodation of knowledge in artificial systems so it can be unified, enhanced, reused, shared, communicated and distributed with added aptitude. Our research represents an important component of addressing...
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Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0
PublikacjaABSTRACT Industry 4.0 aims at providing a digital representation of a production landscape, but the challenges in building, maintaining, optimizing, and evolving digital models in inter-organizational production chains have not been identified yet in a systematic manner. In this paper, various Industry 4.0 research and technical challenges are addressed, and their present scenario is discussed. Moreover, in this article, the novel...
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Application of multisensoral remote sensing data in the mapping of alkaline fens Natura 2000 habitat
PublikacjaThe Biebrza River valley (NE Poland) is distinguished by largely intact, highly natural vegetation patterns and very good conservation status of wetland ecosystems. In 20132014, studies were conducted in the upper Biebrza River basin to develop a remote sensing method for alkaline fen classification a protected Natura 2000 habitat (code 7230) using remote sensing technologies. High resolution airborne true colour (RGB) and...
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Molecular basis of the low activity of antitumor anthracenediones, mitoxantrone and ametantrone, in oxygen radical generation catalyzed by NADH dehydrogenase. Enzymatic and molecular modelling studies
PublikacjaSyntetyczne antracenodionowe leki przeciwnowotworowe, w przeciwieństwie do antybiotyków antracyklinowych, charakteryzują się słabym wytwarzaniem wolnych rodników w układach z dehydrogenazą NADH. Wyniki prezentowane w artykule wskazują, że ani potencjał redukcyjny, ani konformacja łańcuchów bocznych, ani energie orbitali granicznych (LUMO i HOMO) nie determinują zdolności antracenedionów do stymulacji wytwarzania reaktywnych form...
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Żakiewicz o Żakiewiczu. Z dr. Maciejem Żakiewiczem rozmawiają; prof. nadzw. dr hab. Katarzyna Wojan oraz prof. nadzw. dr hab. Zbigniew Kaźmierczyk
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Gdańscy tłumacze literatury fińskiej [dr hab. Andrzej Chojecki, prof. dr hab. Janina Sałajczyk, prof. nadzw. dr hab. Katarzyna Wojan] (rubryka: Finlandia)
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Assessment of Left Atrial Function in Patients with Paroxysmal, Persistent, and Permanent Atrial Fibrillation Using Two-Dimensional Strain.
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Zasłużeni hydrotechnicy. Prof. zw. dr hab. inż. Eugeniusz Dembicki
PublikacjaCharakterystyka dorobku naukowo-badawczego, dydaktycznego, inżynierskiego i organizacyjnego profesora Eugeniusza Dembickiego
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What about the multidrug resistance in fungi? - comparison of voriconazole and ''old'' azoles.
PublikacjaPorównano wyniki oznaczeń aktywności przeciwgrzybowej voriconazolu- nowego leku przeciwgrzybowego z pierścieniem azolowym, z lekami poprzedniej generacji. Zaobserwowano znaczny spadek aktywności biologicznej voriconazolu (podobnie jak starszych leków, takich jak fluconazol czy ketoconazol) względem komórek wielolekoopornych, co stanowi przesłankę, że nowy lek jest substratem dla głównych pomp kształtujących zjawisko wielolekooporności...
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Flexible Knowledge–Vision–Integration Platform for Personal Protective Equipment Detection and Classification Using Hierarchical Convolutional Neural Networks and Active Leaning
PublikacjaThis work is part of an effort to develop of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. The paper focuses on hazards resulted from the non-use of personal protective equipment (PPE). The objective is to test the capability of the platform to adapt to different industrial environments by simulating the process of randomly selecting...
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From Knowledge based Vision Systems to Cognitive Vision Systems: A Review
PublikacjaComputer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, caused research to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarios. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision systems. However,...
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Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA
PublikacjaVisual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing...
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Visual content representation and retrieval for Cognitive Cyber Physical Systems
PublikacjaCognitive Cyber Physical Systems have gained significant attention from academia and industry during the past few decade. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes, which environmental conditions may vary, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior...
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Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory
PublikacjaEngineering collective intelligence is paramount in current industrial times. This research proposes and presents case studies for collective knowledge structures required in the industry field. Knowledge structures such as Set of Experience and Decisional DNA are extended into more advanced knowledge structures for manufacturing processes. These structures are called Virtual Engineering Object, Virtual Engineering Process and...
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Molecular modelling of membrane activity of amphotericin B, a polyene macrolide antifungal antibiotic
PublikacjaPraca dotyczy różnego typu modelowań molekularnych cząsteczki przeciwgrzybowego antybiotyku (amfoterycyny B). Praca przeglądowa obejmuje opis badań nad właściwościami molekularnymi samej cząsteczki antybiotyku, jej oddziaływań z powierzchnią błony oraz struktur kanałowych jakie tworzą cząsteczki amfoterycyny wewnątrz błony lipidowej.
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The structure of nystatin A2
PublikacjaBudowa chemiczna składnika kompleksu nystatyn (nystatyny A2) została ustalona na podstawie analizy estru metylowego N-acetylonystatyny A2 przy pomocy metod spektroskopowych UV, MS i NMR. Widmo UV wskazało obecność w badanym związku chromoforu tetraenowego. Ciężar cząsteczkowy ustalono jako 909 j.m. na postawie analizy MS z wykorzystaniem techniki FAB, co pozwoliło wydedukować skład elementarny nystatyny A2 jako C47H75NO16. Analizy...
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Glucosamine-6-phosphate synthase,a novel target for antifungalagents.Molecular modelling studies in drug design
PublikacjaPraca dotyczy modelowania zarówno samych inhibitorów syntazy glukozamino-6-fosforanu jak i ich oddziaływania z obydwiema domenami tego enzymu. Enzym syntaza glukozamino-6-fosforanu został zaproponowany jako nowy cel molekularny w chemoterapii infekcji grzybowych. Zaprojektowano i zsyntezowano szereg inhibitorów tego enzymu - potencjalnych nowych leków przeciwgrzybowych. Dzięki modelowaniu molekularnemu udało się wyjaśnić mechanizm...
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Understanding Sustainable Knowledge-Sharing in Agile Projects: Utilizing Follow-the-Sun Technique (FTS) in Virtual Teams
PublikacjaIn Agile IT projects, promoting effective knowledge sharing is essential not only for achieving success but also for supporting Sustainable Development Goals (SDGs). However, Companies using virtual teams may face challenges in coordinating work, particularly when teams are distributed across different time zones, ultimately hindering their ability to consistently share knowledge. This can lead to delays and inefficiencies, ultimately...
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Sustainable Knowledge Sharing Model for IT Agile Projects
PublikacjaIn order to overcome work environment challenges and remain competitive in the market, organisations must adapt. An organisation's competitiveness can be improved through knowledge sharing; however, improvement without responsibility can have a negative impact on the sociotechnical environment which people cannot fully comprehend. According to researchers, business involvement in sustainable development goals remains minimal [51]....
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A new multi-process collaborative architecture for time series classification
PublikacjaTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...
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Towards Knowledge Sharing Oriented Adaptive Control
PublikacjaIn this paper, we propose a knowledge sharing oriented approach to enable a robot to reuse other robots' knowledge by adapting itself to the inverse dynamics model of the knowledge-sharing robot. The purpose of this work is to remove the heavy fine-tuning procedure required before using a new robot for a task via reusing other robots' knowledge. We use the Neural Knowledge DNA (NK-DNA) to help robots gain empirical knowledge and...
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Smart Knowledge Engineering for Cognitive Systems: A Brief Overview
PublikacjaCognition in computer sciences refers to the ability of a system to learn at scale, reason with purpose, and naturally interact with humans and other smart systems, such as humans do. To enhance intelligence, as well as to introduce cognitive functions into machines, recent studies have brought humans into the loop, turning the system into a human–AI hybrid. To effectively integrate and manipulate hybrid knowledge, suitable technologies...
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Adding Interpretability to Neural Knowledge DNA
PublikacjaThis paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representation approach for acquiring, storing, sharing, and reusing knowledge among machines and computing systems. We introduce the decision tree-based generative method for knowledge extraction and representation to make the NK-DNA more explainable. We examine...
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Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks
PublikacjaThe increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated...
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Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization
PublikacjaCurrent computer vision systems, especially those using machine learning techniques are data-hungry and frequently only perform well when dealing with patterns they have seen before. As an alternative, cognitive systems have become a focus of attention for applications that involve complex visual scenes, and in which conditions may vary. In theory, cognitive applications uses current machine learning algorithms, such as deep learning,...
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Smart Embedded Systems with Decisional DNA Knowledge Representation
PublikacjaEmbedded systems have been in use since the 1970s. For most of their history embedded systems were seen simply as small computers designed to accomplish one or a few dedicated functions; and they were usually working under limited resources i.e. limited computing power, limited memories, and limited energy sources. As such, embedded systems have not drawn much attention from researchers, especially from those in the artificial...
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Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence
PublikacjaCognitive Vision Systems have gained significant attention from academia and industry during the past few decades. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes (which environmental conditions may vary), adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination...
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Image Representation for Cognitive Systems Using SOEKS and DDNA: A Case Study for PPE Compliance
PublikacjaCognitive Vision Systems have gained significant interest from academia and industry during the past few decade, and one of the main reasons behind this is the potential of such technologies to revolutionize human life as they intend to work under complex visual scenes, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities...
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Toward Intelligent Recommendations Using the Neural Knowledge DNA
PublikacjaIn this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep...
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Experience-Based Product Inspection Planning for Industry 4.0
PublikacjaIn this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected,...
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Differential ability of cytostatics from anthraquinone group to generatefree radicals in three enzymatic systems: NADH dehydrogenase, NADPH cytochrome P450 reductase, and xantine oxidase.
PublikacjaZbadano szereg cytostatyków z grupy antrachinonu pod względem ich zdolności do pośredniczenia w przeniesieniu jednoelektronowym i generowaniu wolnych rodników tlenowych pod wpływem trzech oksydoreduktaz. Zdefiniowano czynniki strukturalne związków odpowiedzialne za ten proces katalizowany przez poszczególne enzymy.
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Interaction of amphotericin B and its low toxic derivative, N-methyl-N-D-fructosyl amphotericin B methyl ester, with fungal, mammalian and bacterial cells measured by the energy transfer method.
PublikacjaPochodna amfoterycyny B ( AMB) ester metylowy N-metylo-N-D-fruktozylo amfoterycyny B (MFAME) wykazuje szerokie spektrum i wysoką aktywność przeciwgrzybową wyjściowego amtybiotyku i równocześnie toksyczność mniejszą o dwa rzędy wielkości. Celem tej pracy było ustalenie czy obserwowane różnice między toksycznością pochodnej i wyjściowego antybiotyku wynikają z różnic w powinowactwie do błon komórkowych grzybów i komórek ssakowych....
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Wspomnienie o prof. dr. hab. inż. Zbigniewie Sikorze (1954-2015)
PublikacjaWspomnienie.
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Wykaz ważniejszych publikacji prof. zw. dr hab. Piotra J. Kowalika
PublikacjaPodano wykaz ważniejszych publikacji profesora Piotra Kowalika z okresu 1963-2009. Nie uwzględniono publikacji w materiałach konferencyjnych o zasięgu krajowym ani recenzji i krótkich doniesień naukowych. Podano podręczniki akademickie, monografie naukowe, skrypty akademickie, rozprawy naukowe, publikacje w czasopismach o zasięgu międzynarodowym oraz publikacje w materiałach zagranicznych i krajowych.
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„Studia Rossica Gedanensia” o Rosji i Ukrainie. O najnowszym numerze rocznika z jego redaktorami – prof. Katarzyną Wojan oraz prof. Zbigniewem Kaźmierczykiem – rozmawia Tomasz Neumann
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„Studia Rossica Gedanensia” o Rosji i Ukrainie. O najnowszym numerze rocznika z jego redaktorami – prof. Katarzyną Wojan oraz prof. Zbigniewem Kaźmierczykiem – rozmawia Tomasz Neumann
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Voriconazole and multidrug resistance in Candida albicans
PublikacjaPorównano aktywność grzybostatyczną in vitro worikonazolu, flukonazolu, ketokonazolu i klotrimazolu wobec opornych na flukonazol szczepów klinicznych Candida albicans oraz rekombinowanych szczepów Saccharomyces cerevisiae eksprymujących jeden z genów kodujących białka oporności wielolekowej (MDR) C. albicans: Cdr1p. Cdr2p lub CaMdr1p. Stwierdzono, że nadekspresja genów MDR czyni komórki drożdżaków mniej wrażliwymi na działanie...
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Jubileusz 75-lecia prof. zw. dr hab. inż. Karola Franciszka Macheja
PublikacjaPrzedstawiono drogę zawodową Profesora Karola Macheja. Scharakteryzowano kierunki badań rozwijane przez Profesora. Wskazano osiągnięcia z zakresu badań przenikania masy w wypełnionych aparatach kolumnowych, osiągnięcia w zakresie zastosowań rachunku krakowianowego do zagadnień inżynierii chemicznej, osiągnięcia w zakresie badań równoczesnej wymiany ciepła i masy, osiągniecia z zakresu badań nad krystalizacją masową.