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1تقرير
المؤلفون: Sroczynski, David W., Dietrich, Felix, Koronaki, Eleni D., Talmon, Ronen, Coifman, Ronald R., Bollt, Erik, Kevrekidis, Ioannis G.
مصطلحات موضوعية: Computer Science - Machine Learning, Mathematics - Dynamical Systems, Mathematics - Numerical Analysis
الوصف: Before we attempt to learn a function between two (sets of) observables of a physical process, we must first decide what the inputs and what the outputs of the desired function are going to be. Here we demonstrate two distinct, data-driven ways of initially deciding ``the right quantities'' to relate through such a function, and then proceed to learn it. This is accomplished by processing multiple simultaneous heterogeneous data streams (ensembles of time series) from observations of a physical system: multiple observation processes of the system. We thus determine (a) what subsets of observables are common between the observation processes (and therefore observable from each other, relatable through a function); and (b) what information is unrelated to these common observables, and therefore particular to each observation process, and not contributing to the desired function. Any data-driven function approximation technique can subsequently be used to learn the input-output relation, from k-nearest neighbors and Geometric Harmonics to Gaussian Processes and Neural Networks. Two particular ``twists'' of the approach are discussed. The first has to do with the identifiability of particular quantities of interest from the measurements. We now construct mappings from a single set of observations of one process to entire level sets of measurements of the process, consistent with this single set. The second attempts to relate our framework to a form of causality: if one of the observation processes measures ``now'', while the second observation process measures ``in the future'', the function to be learned among what is common across observation processes constitutes a dynamical model for the system evolution.
الوصول الحر: http://arxiv.org/abs/2406.06812Test
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2دورية أكاديمية
المؤلفون: Michal Janik, Krzysztof Jędras, Dawid Golik, Przemysław Sroczyński
المصدر: Videosurgery and Other Miniinvasive Techniques, Vol 19, Iss 1, Pp 68-75 (2023)
مصطلحات موضوعية: post-operative complications, obesity, laparoscopic cholecystectomy, clavien-dindo classification, Medicine
وصف الملف: electronic resource
العلاقة: https://www.termedia.pl/The-influence-of-obesity-on-the-safety-of-laparoscopic-cholecystectomy-a-retrospective-analysis,42,52158,1,1.htmlTest; https://doaj.org/toc/1895-4588Test; https://doaj.org/toc/2299-0054Test
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3دورية أكاديمية
المؤلفون: Michal Janik, Krzysztof Jędras, Dawid Golik, Przemysław Sroczyński
المصدر: Videosurgery and Other Miniinvasive Techniques, Vol 18, Iss 4, Pp 665-670 (2023)
مصطلحات موضوعية: staple line reinforcement, bariatric surgery, laparoscopic sleeve gastrectomy, bleeding complications, clavien-dindo classification, continuous suturing, Medicine
وصف الملف: electronic resource
العلاقة: https://www.termedia.pl/Influence-of-staple-line-reinforcement-on-the-occurrence-of-bleeding-complications-following-laparoscopic-sleeve-gastrectomy-a-retrospective-analysis,42,52042,1,1.htmlTest; https://doaj.org/toc/1895-4588Test; https://doaj.org/toc/2299-0054Test
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4تقرير
مصطلحات موضوعية: Mathematics - Dynamical Systems, Mathematics - Analysis of PDEs
الوصف: Starting with sets of disorganized observations of spatially varying and temporally evolving systems, obtained at different (also disorganized) sets of parameters, we demonstrate the data-driven derivation of parameter dependent, evolutionary partial differential equation (PDE) models capable of generating the data. This tensor type of data is reminiscent of shuffled (multi-dimensional) puzzle tiles. The independent variables for the evolution equations (their "space" and "time") as well as their effective parameters are all "emergent", i.e., determined in a data-driven way from our disorganized observations of behavior in them. We use a diffusion map based "questionnaire" approach to build a parametrization of our emergent space/time/parameter space for the data. This approach iteratively processes the data by successively observing them on the "space", the "time", and the "parameter" axes of a tensor. Once the data are organized, we use machine learning (here, neural networks) to approximate the operators governing the evolution equations in this emergent space. Our illustrative example is based on a previously developed vertex-plus-signaling model of Drosophila embryonic development. This allows us to discuss features of the process like symmetry breaking, translational invariance, and autonomousness of the emergent PDE model, as well as its interpretability.
Comment: 9 main pages (8 figures) with 7 SI pages (5 figures) Submitted to PNAS Nexusالوصول الحر: http://arxiv.org/abs/2204.11961Test
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5دورية أكاديمية
المؤلفون: Piotr Sroczyński
المصدر: Polonia Sacra, Vol 28, Iss 1 (2024)
مصطلحات موضوعية: katecheta, katecheza szkolna, Kościół, pielgrzymka, sanktuarium, słowo Boże, Christianity, BR1-1725, Doctrinal Theology, BT10-1480
الوصف: Artykuł przedstawia pielgrzymowanie jako pozalekcyjną formę katechezy oraz związane z nią wzrastanie uczniów do świętości. Ruch pielgrzymkowy składa się z trzech podstawowych elementów: człowieka, przestrzeni i sacrum. Warunki do uświęcenia stwarza przestrzeń pielgrzymkowa, ale najważniejszy jest człowiek, który podejmuje trud wędrówki. To od niego przede wszystkim zależy, czy otworzy się na świętość, podda się działaniu Boga. Sanktuarium, które jest celem trudu pielgrzyma, wyraża szczególną obecność Boga i tajemnicę Jego działania w czasie, ukrytą pod różnymi znakami historii. Dostrzeżenie i rozpoznanie tych prawd w sposób naturalny wyzwala w duszy pielgrzyma zdumienie i uwielbienie.
وصف الملف: electronic resource
العلاقة: http://czasopisma.upjp2.edu.pl/poloniasacra/article/view/4501Test; https://doaj.org/toc/1428-5673Test; https://doaj.org/toc/2391-6575Test
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6دورية أكاديمية
المؤلفون: Andrzej Sroczyński, Andrzej Czyżewski
المصدر: Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
الوصف: Abstract Since high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the algorithms employing neural networks can work in real-time, so they can be used, among others, to determine the speed displayed on variable message road signs. This paper describes an experiment to develop and test machine learning models, i.e., long short-term memory, gated recurrent unit recurrent networks, and stacked autoencoder networks. It compares their effectiveness with traffic prediction results generated using a widely recognized traffic simulator that analyzes traffic at the level of individual vehicles.
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2045-2322Test
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7دورية أكاديمية
المؤلفون: Beata Łubkowska, Edyta Czajkowska, Aleksandra Stodolna, Michał Sroczyński, Agnieszka Zylicz-Stachula, Ireneusz Sobolewski, Piotr M. Skowron
المصدر: Microbial Cell Factories, Vol 22, Iss 1, Pp 1-16 (2023)
مصطلحات موضوعية: Capsule, Thermophile, Polysaccharide, Geobacillus stearothermophilus, Biotechnology, Microbiology, QR1-502
الوصف: Abstract Background In spite of the fact that recombinant enzymes are preferably biotechnologically obtained using recombinant clones, the purification of proteins from native microorganisms, including those encoded by bacteriophages, continues. The native bacteriophage protein isolation is often troubled by large volumes of the infected bacterial cell lysates needed to be processed, which is highly undesired in scaled-up industrial processing. A well-known ammonium sulphate fractionation is often a method of choice during purification of the native bacteriophage protein. However, this method is time-consuming and cumbersome, and requires large amounts of the relatively expensive reagent. Thus, other effective and inexpensive methods of reversible protein precipitation are highly desirable. We have previously characterized thermophilic TP-84 bacteriophage, defined a new genus TP84virus within Siphoviridae family, conducted the TP-84 genome annotation and proteomic analysis. The longest Open Reading Frame (ORF) identified in the genome is TP84_26. We have previously annotated this ORF as a hydrolytic enzyme depolymerizing the thick polysaccharides host’s capsule. Results The TP84_26 ‘capsule depolymerase’ (depolymerase) is a large, 112 kDa protein, biosynthesized by the infected Geobacillus stearothermophilus 10 (G. stearothermophilus 10) cells. The TP84_26 protein biosynthesis was confirmed by three approaches: (i) purification of the protein of the expected size; (ii) mass spectrometry (LC–MS) analysis and (iii) detection of the enzymatic activity toward G. stearothermophilus polysaccharide capsules. Streptomycin-resistant mutant of the host was generated and microbiological aspects of both the TP-84 and G. stearothermophilus 10 were determined. A new variant of polyethyleneimine (PEI)-mediated purification method was developed, using the novel TP-84 depolymerase as a model. The enzyme was characterized. Three depolymerase forms were detected: soluble, unbound proteins in the bacteriophage/cells lysate and another integrated into the TP-84 virion. Conclusions The novel TP-84 depolymerase was purified and characterized. The enzyme exists in three forms. The soluble, unbound forms are probably responsible for the weakening of the capsules of the uninfected bacterial cells. The form integrated into virion particles may generate a local passage for the invading TP-84. The developed PEI purification method appears well suited for the scaled-up or industrial production of bacteriophage proteins.
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1475-2859Test
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8دورية أكاديمية
المؤلفون: Ewa Miękoś, Marek Zieliński, Michał Cichomski, Tomasz Klepka, Dorota Czarnecka-Komorowska, Dariusz Sroczyński, Anna Fenyk
المصدر: International Journal of Molecular Sciences, Vol 24, Iss 23, p 16625 (2023)
مصطلحات موضوعية: polymers, composites, constant magnetic field (CMF), silicone rubber, birch bark, expended graphite, Biology (General), QH301-705.5, Chemistry, QD1-999
الوصف: The aim of this research was to obtain new polymer composites with a silicone rubber matrix, having favorable mechanical and functional properties. They contained admixtures in the amount of 10% by weight of expanded graphite (EG) or birch bark (BB). Additionally, some composites contained magnetic particles in the form of carbonyl iron in the amount of 20% by weight. The tensile strength, water absorption, frost resistance, surface contact angle, and free surface energy were examined. Microscopic images were taken using the SEM method and the content of some elements in selected microareas was determined using the EDXS method. In the study, a constant magnetic field with magnetic induction B was used, by means of which the properties and structure of polymer composites were modified. Scientific research in the field of polymers is the driving force behind the progress of civilization. Smart materials are able to respond to external stimuli, such as magnetic fields, with significant changes in their properties. The magnetic field affects not only chemical reactions, but also the crystallographic structure and physicochemical properties of the final products. Owing to their unique properties, such materials can be used in the space industry, automotive industry, or electrical engineering.
وصف الملف: electronic resource
العلاقة: https://www.mdpi.com/1422-0067/24/23/16625Test; https://doaj.org/toc/1661-6596Test; https://doaj.org/toc/1422-0067Test
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9دورية أكاديمية
المؤلفون: Andrzej Czyżewski, Bozena Kostek, Adam Kurowski, Krzysztof Narkiewicz, Beata Graff, Piotr Odya, Tomasz Śmiałkowski, Andrzej Sroczyński
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
الوصف: Abstract This paper describes a novel way to measure, process, analyze, and compare respiratory signals acquired by two types of devices: a wearable sensorized belt and a microwave radar-based sensor. Both devices provide breathing rate readouts. First, the background research is presented. Then, the underlying principles and working parameters of the microwave radar-based sensor, a contactless device for monitoring breathing, are described. The breathing rate measurement protocol is then presented, and the proposed algorithm for octave error elimination is introduced. Details are provided about the data processing phase; specifically, the management of signals acquired from two devices with different working principles and how they are resampled with a common processing sample rate. This is followed by an analysis of respiratory signals experimentally acquired by the belt and microwave radar-based sensors. The analysis outcomes were checked using Levene’s test, the Kruskal–Wallis test, and Dunn’s post hoc test. The findings show that the proposed assessment method is statistically stable. The source of variability lies in the person-triggered breathing patterns rather than the working principles of the devices used. Finally, conclusions are derived, and future work is outlined.
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2045-2322Test
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10دورية أكاديمية
المؤلفون: Beata Łubkowska, Edyta Czajkowska, Aleksandra Stodolna, Michał Sroczyński, Agnieszka Zylicz-Stachula, Ireneusz Sobolewski, Piotr M. Skowron
المصدر: Microbial Cell Factories, Vol 22, Iss 1, Pp 1-1 (2023)
مصطلحات موضوعية: Microbiology, QR1-502
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1475-2859Test