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Catalog Publications
Year 2024
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Multi-instrument analysis of L-band amplitude scintillation observed over the Eastern Arabian Peninsula
PublicationThe study of scintillation-causing ionospheric irregularities is important to mitigate their effects on satellite communications. It is also important due to the spatial and temporal variability of these irregularities, given that their characteristics differ from one region to another. This study investigates the spatial and temporal characteristics of L1 amplitude scintillation-causing ionospheric irregularities over the Eastern...
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Multilayer coatings based on cerium oxide and manganese cobaltite spinel for Crofer22APU SOC interconnects
PublicationThe current state of the art steel interconnect coating materials are based on critical raw material - Co-oxide spinels. Replacing Co-oxide spinels with alternative, abundant materials can reduce the dependence on the critical raw materials. Cobalt-free coatings with the general formula Mn2-xCuFexO4, where x = 0, 0.1, 0.3, were electrophoretically deposited on a ferritic stainless-steel support and evaluated. Prior to deposition,...
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Multimodal analysis of traction forces and the temperature dynamics of living cells with a diamond-embedded substrate
PublicationCells and tissues are constantly exposed to chemical and physical signals that regulate physiological and pathological processes. This study explores the integration of two biophysical methods: traction force microscopy (TFM) and optically detected magnetic resonance (ODMR) to concurrently assess cellular traction forces and the local relative temperature. We present a novel elastic substrate with embedded nitrogen-vacancy microdiamonds...
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Multimodal Imaging Using Raman Spectroscopy and FTIR in a Single Analytical Instrument with a Microscope (Infrared Raman Microscopy AIRsight, Shimadzu): Opportunities and Applications
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Multiscalar Control Based Airgap Flux Optimization of Induction Motor for Loss Minimization
PublicationBased on the induction motor model, considering the core loss resistance that accounts for magnetic characteristic saturation, a speed control approach is devised with an adaptive full-order (AFO) speed observer. The induction motor model analysis is done sincerely in a stationary reference frame. The control approach incorporates a flux reference generator designed to meet optimal operational circumstances and a nonlinear speed...
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Multi-screw extruders – an overview
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Multi-Taper-Based Automatic Correction of Non-Anechoic Antenna Measurements
PublicationPrototype measurements belong to the key steps in the development of antenna structures. Although accurate validation of their far-field performance can be realized in dedicated facilities, such as anechoic chambers, the high cost of their construction and maintenance might not be justified if the main goal of measurements is to support teaching or low-budget research. Instead, they can be performed in non-anechoic conditions and...
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Multitaper-Based Post-processing of Compact Antenna Responses Obtained in Non-anechoic Conditions
PublicationThe process of developing antenna structures typically involves prototype measurements. While accurate validation of far-field performance can be performed in dedicated facilities like anechoic chambers, high cost of construction and maintenance might not justify their use for teaching, or low-budget research scenarios. Non-anechoic experiments provide a cost-effective alternative, however the performance metrics obtained in such...
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Multi-Walled Carbon Nanotubes and Copper Oxide Nanoparticles Composite Used as Transducer Medias in Nitrate Ion-Selective Electrodes
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Muscle strength and endurance in high-level rock climbers
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MXene-based composites for capacitive deionization – The advantages, progress, and their role in desalination - A review
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MXene-based composites for capacitive deionization – The advantages, progress, and their role in desalination - A review
PublicationMXenes, a novel large family of 2D transition metal carbides, carbonitrides and nitrides are currently a “hot topic” in science due to their several fascinating physical and chemical properties. It follows from a rich diversity of their elemental compositions and chemical functionalities. MXenes can form composites with many substances, including polymers or metal oxides, which allows to effective “tune” MXene characteristics to...
Year 2023
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Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage
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Machine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects
PublicationMachine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects Hammed A. Mojeed & Rafal Szlapczynski Conference paper First Online: 14 September 2023 161 Accesses Part of the Lecture Notes in Computer Science book series (LNAI,volume 14125) Abstract Software development project requires proper planning to mitigate risk and...
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Machine learning goes global: Cross-sectional return predictability in international stock markets
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile...
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile strengths...
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Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
PublicationNowadays, 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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Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction
PublicationRegarding the unpredictable and complex nature of seismic excitations, there is a need for vulnerability assessment of newly constructed or existing structures. Predicting the seismic limit-state capacity of steel Moment-Resisting Frames (MRFs) can help designers to have a preliminary estimation and improve their views about the seismic performance of the designed structure. This study improved data-driven decision techniques in...
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany 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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Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublicationComplexity 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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Macro-nutrients recovery from liquid waste as a sustainable resource for production of recovered mineral fertilizer: Uncovering alternative options to sustain global food security cost-effectively
PublicationGlobal food security, which has emerged as one of the sustainability challenges, impacts every country. As food cannot be generated without involving nutrients, research has intensified recently to recover unused nutrients from waste streams. As a finite resource, phosphorus (P) is largely wasted. This work critically reviews the technical applicability of various water technologies to recover macro-nutrients such as P, N, and...
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Magazynowanie ciepła
PublicationMagazynowanie ciepła, obok magazynowania energii elektrycznej, w dzisiejszych czasach stanowi podstawę zrównoważonego gospodarowania zasobami surowcowymi. Przyczynia się do poprawy efektywności energetycznej procesów przemysłowych, wydajniejszego ogrzewania obiektów czy pomieszczeń, a dzięki wykorzystaniu różnego rodzaju urządzeń i materiałów sprzyja zmniejszeniu zużycia paliw, w efekcie czego następuje ograniczenie emisji do środowiska...
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Magazynowanie energii elektrycznej
PublicationŚwiatowa gospodarka opiera się na energii, dlatego wymaga się, aby energia była łatwo dostępna, stosunkowo tania, a jej dostawy niezawodne. Zmiany klimatyczne powodują jednak, że wzrastają wymogi dotyczące redukcji emisji CO2, a co za tym idzie – zwiększenia udziału „zielonej energii” pochodzącej ze źródeł odnawialnych. Ramy europejskiej polityki klimatyczno-energetycznej do roku 2030 zakładają m.in. redukcję emisji ditlenku węgla...
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Magnetic anisotropy and structural flexibility in the f ield-induced single ion magnets [Co{(OPPh2) (EPPh2)N}2], E = S, Se, explored by experimental and computational methods
PublicationDuring the last few years, a large number of mononuclear Co(II) complexes of various coordination geometries have been explored as potential single ion magnets (SIMs). In the work presented herein, the Co(II) S = 3/2 tetrahedral [Co{(OPPh2)(EPPh2)N}2], E = S, Se, complexes (abbreviated as CoO2E2), bearing chalcogenated mixed donor-atom imidodiphosphinato ligands, were studied by both experimental and computational techniques. Specifically,...
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Magnetic deep eutectic solvents as efficient media for extraction of furfural and 5-hydroxymethylfurfural from aqueous samples
PublicationThe extraction of furfural (FF) and 5-hydroxymethylfurfural (HMF) from hydrolysates is currently one of the main challenges in bio-refinery. In this work, the separation of FF and HMF from the aqueous phase was carried out using a new type of green solvents – Magnetic Deep Eutectic Solvents (MDES). A conductor-like screening model for realistic solvents (COSMO-RS) was used for the preselection of 400 MDES. MDES which exhibit the...
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Magnetic signature reproduction of ferromagnetic ships at arbitrary geographical position, direction and depth using a multi-dipole model
PublicationThe reproduction of magnetic signatures is an important issue concerning the safety of ship traffic, as well as the identification and classification of vessels. Moreover, military applications of magnetic signatures and their reproduction refer to the activation or protection against activation of magnetic naval mines. Previous works on this subject focused on recording and replicating the signatures under the same conditions...
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Magnetic, thermodynamic, and magnetotransport properties of CeGaGe and PrGaGe single crystals
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Magnetically recyclable TiO2/MXene/MnFe2O4 photocatalyst for enhanced peroxymonosulphate-assisted photocatalytic degradation of carbamazepine and ibuprofen under simulated solar light
PublicationIn this study, a novel TiO2/Ti3C2/MnFe2O4 magnetic photocatalyst with dual properties, enabling (i) improved photocatalytic degradation with PMS activation under simulated solar light and (ii) magnetic separation after the degradation process in an external magnetic field was developed and applied for the efficient photodegradation pharmaceutically active compounds (PhACs) frequently present in wastewater and surface waters worldwide. MXene...
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Magnetoelectric, spectroscopic, optical and elastic properties of Co-doped BaTiO3 ceramics
Publicationhe BaTiO3 perovskite is widely used in the electronic technology due to its dielectric, piezoelectric and ferroelectric properties and is a well-known base for obtaining a promising multifunctional material. In this paper we report the extensive studies on the Co-doped BaTiO3 ceramics for the wide range cobalt content. Full structural characterization of studied samples in a 20–450 K range was provided. The results of research...
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Maillard-reaction (glycation) of biopolymeric packaging films; principles, mechanisms, food applications
PublicationBackground The biodegradable, biocompatible, sustainable, and renewable nature of biomaterials has led to increased interest in developing biopolymeric food packaging films (BFPFs) with green ingredients and strategies. To enhance the performance of these films, biopolymer molecules can be modified or combined with additives like nanomaterials, cross-linkers, bioactive compounds, and other polymers, particularly with Maillard-reaction...
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Making virtual species less virtual by reverse engineering of spatiotemporal ecological models
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Mało znane rozwiązania konstrukcyjne oraz funkcjonalno - użytkowe budynków w powojennej Gdyni Wybrane przykłady
PublicationCelem publikacji jest przedstawienie przykładów z realizacji budownictwa z lat 1950–1970, które świadczą o dużym zaangażowaniu zarówno projektantów, jak i wykonawców we wprowadzanie postępu technicznego w celu przyśpieszenia tempa realizacji inwestycji, co było działaniem priorytetowym w okresie odbudowy kraju ze zniszczeń będących następstwem II wojny światowej
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Management of MV/LV Transformer Replacement Based on AMI Platform
PublicationThe paper presents the extended possibilities of managing the selection and replacement of MV/LV transformers using the measurement data from the Advanced Metering Infrastructure (AMI) system. The analysis was conducted on samples of over 1900 transformers that operate in two different types of MV grids: rural and urban. The analysis has shown that there is a great potential in the field of optimizing the rated power of the transformers.
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Management Strategy for Seaports Aspiring to Green Logistical Goals of IMO: Technology and Policy Solutions
PublicationRecently, because of serious global challenges including the consumption of energy and climate change, there has been an increase in interest in the environmental effect of port operations and expansion. More interestingly, a strategic tendency in seaport advancement has been to manage the seaport system using a model which balances environmental volatility and economic development demands. An energy efficient management system...
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Manganese dioxide (MnO2) nanoparticles influence on the nitrification and anammox activity
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Mangiferin Affects Melanin Synthesis by an Influence on Tyrosinase: Inhibition, Mechanism of Action and Molecular Docking Studies
PublicationMangiferin is a strong antioxidant that presents a wide range of biological activities. The aim of this study was to evaluate, for the first time, the influence of mangiferin on tyrosinase, an enzyme responsible for melanin synthesis and the unwanted browning process of food. The research included both the kinetics and molecular interactions between tyrosinase and mangiferin. The research proved that mangiferin inhibits tyrosinase...
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Manifestation of Intermolecular Interactions in the IR Spectra of 2- and 4-Methylmethcathinones Hydrochlorides: DFT Study and Hirshfeld Surfaces Analysis
PublicationThis paper reports a Hirshfeld surfaces analysis of crystalline 2- and 4-methylmethcathinone (2-MMC and 4-MMC) hydrochlorides to analyze NH∙Cl and CH∙∙∙Cl intermolecular interactions and approve the formation of the NН2+–Cl– salt fragment in both 2-MMC∙HCl and 4-MMC∙HCl crystals. Two isomeric dimers were separated from the corresponding crystal packing to model IR spectra of the crystalline 2-MMC∙HCl...
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Mapping of Flood-Prone Areas Utilizing GIS Techniques and Remote Sensing: A Case Study of Duhok, Kurdistan Region of Iraq
PublicationOne of the most common types of natural disaster, floods can happen anywhere on Earth, except in the polar regions. The severity of the damage caused by flooding can be reduced by putting proper management and protocols into place. Using remote sensing and a geospatial methodology, this study attempts to identify flood-vulnerable areas of the central district of Duhok, Iraq. The analytical hierarchy process (AHP) technique was...
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Mark Fisher. Dziwaczne i osobliwe. Przekład i posłowie: Andrzej Karalus i Tymon Adamczewski
PublicationDziwaczne i osobliwe to zbiór esejów, w których autor dowodzi, że wiele spośród znanych dzieł kultury można opisać kategoriami dziwaczności lub osobliwości. Pojęcia te, choć bardzo do siebie zbliżone, nie są tożsame. Oba kojarzone są z horrorem lub literaturą sceince fiction, ale wykraczają poza jego ramy. Dotykają tego, co zewnętrzne i nieznane, niepokojące, ale niekoniecznie przerażające. Kategorie dziwaczności i osobliwości...
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Mark Fisher: od hauntologii do estetyki zewnętrzności
PublicationW artykule zrekapitulowany zostaje projekt estetyki zewnętrza Marka Fishera, tak jak został zarysowany w artykułach i książce Dziwaczne i osobliwe. Artykuł osadza poszukiwania Fishera w szerszej ramie pojęciowej (w kontekście tzw. brytyjskiej teorii spekulatywno-kulturowej), jak i na tle wątków akceleracjonistycznych.
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Marketing a wyzwania środowiska omnikanałowego
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Marketing Communications in the Era of Digital Transformation
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Marta Kuc-Czerep, Niemieckojęzyczni mieszkańcy Warszawy. Droga do obywatelstwa w osiemnastowiecznej Rzeczypospolitej, Wydawnictwo Instytutu Historii Polskiej Akademii Nauk, 2021, ss. 444 + mapa.
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Mask Detection and Classification in Thermal Face Images
PublicationFace masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify...
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MASTERPLAN SKUTECZNYM NARZĘDZIEM PLANOWANIA DZIELNIC
PublicationPrzy równocześnie trwających pracach nad zmianą ustawy o planowaniu i zagospodarowaniu przestrzennym oraz niektórych innych ustaw wydaje się być zasadne poszukiwanie rozwiązań sprzyjających zahamowaniu dalszej degradacji przestrzeni niekoniecznie określonych ramami ustawowymi i prawem. Artykuł jest próbą ukazania zastosowania pozaustawowego dokumentu, jakim jest masterplan w polskich ramach planistycznych w celu kreowania spójnych...
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Masterplany jako współczesne instrumenty kształtowania struktur miejskich o charakterze kompleksowym
PublicationWspółcześnie w procesie kształtowania struktur przestrzennych coraz większego znaczenia na- biera wykorzystywanie pozaustawowych narzędzi planistycznych, wykraczających poza tradycyjne ramy. Jednym z takich kluczowych instrumentów są masterplany, które stają się nieodzownym elementem w nadawaniu miejskiego charakteru różnym obszarom przy jednoczesnym spełnianiu wymagań współczesnych i przyszłych pokoleń. Poniższy rozdział jest...
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Material characteristic of an innovative stent for the treatment of urethral stenosis
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Materiały poliuretanowe o zmniejszonej palności otrzymane z udziałem biomasy ligninocelulozowej
PublicationPoliuretany są uniwersalnymi materiałami inżynierskimi o szerokim zakresie zastosowań, ponieważ ich właściwości można łatwo regulować stosując różne kombinacje składników. W ostatnich latach dużą uwagę zwraca się na efektywne wykorzystanie surowców ze źródeł odnawialnych jako substytutów dla zasobów kopalnych. Wynika to nie tylko z obaw o przyszłe braki w dostawach ropy naftowej, ale również z powodu większego zapotrzebowania na...
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Mathematical modeling and prediction of pit to crack transition under cyclic thermal load using artificial neural network
PublicationThe formation of pitting is a major problem in most metals, which is caused by extremely localized corrosion that creates small holes in metal and subsequently, it changes into cracks under mechanical load, thermo-mechanical stress, and corrosion process factors. This research aims to study pit to crack transition phenomenon of steel boiler heat tubes under cyclic thermal load, and mathematical modeling...