134,446 research outputs found
Stanisław Majewski (1944–2020). Flashback
No full textAim: Presentation of the scientific, didactic and organizational achievements of Dr. Stanisław Majewski. Methods: An analysis of source materials. Results: P resentation of t he biography, a nd scientific a nd d idactic achievements of Stanisław Majewski. His teaching experience and career at the Jan Kochanowski University. His system of values in various aspects of life. Conclusions: Stanisław Majewski is the author of several dozen scientific, didactic and methodological articles as well as many scientific reviews. He is the author of three books important for Polish education. He influenced many generations of students
Bronislaw Majewski, (1894-1950), purchased by Mrs. Victoria D. Majewski on April 11, 1950.
No full textDocuments regarding the double headstone for Bronislaw Majewski, (1894-1950), buried with Victoria D. Majewski, (1895), purchased by Mrs. Victoria D. Majewski. The marker was placed at Calvary Cemetery in Toledo, Ohio. The stone is made of Barre Granite with Sand Blast letters. Rubbings is included
Unrestricted chiral patterning by laser writing in liquid crystalline and plasmonic nanocomposite thin films
No full textThis data set contains metadata associated with the manuscript by P. Szustakiewicz, F. Powała, D. Szepke, W. Lewandowski, P. W. Majewski, Unrestricted Chiral Patterning by Laser Writing in Liquid Crystalline and Plasmonic Nanocomposite Thin Films. Adv. Mater.2023, 2310197. https://doi.org/10.1002/adma.202310197.It contains raw data related to: 1.Differential scanning calorimetry data of OIM materials, 2. Polarized optical microscopy (POM) textures of OIM materials, 3. CD spectra of homochirally patterned OIM/CB as a function of sample orientation, 4. POM images and movies recorded during the laser remelting process, 5. Thermography data, 6. Synchrotron Mueller Matrix Polarimetry measurements.</p
Euphoriomyces huggertii T. Majewski
No full textEuphoriomyces huggertii T.Majewski MB#103298 Fig. 9D–E Acta Mycologica 19: 185 (Majewski 1986a). – Type: “ On Proteinus brachypterus F. (Col. Staphylinidae): Bieszczady Mts., Wetlina (Krosno voiv.), under bark of overthrown trunks of Fagus sylvatica in Fagetum on the eastern mountain-side of Jawornik, about 700 m above sea level, 2.6.1974 (holotype, TM. 1418)”; KRAM. [Poland] Diagnostic features Thalli with 1–2 perithecia, if two, then borne on opposite sides of the 5 th receptacular cell. Fourth cell of the receptacle larger than others above and below. Secondary appendages ± branched, continuing the six- to eight-celled receptacle. Primary appendage two-celled, concealed, lateral to the distal cell of receptacle (Fig. D, pa). [Detailed descriptions: Santamaria 1991, 2003; Majewski 1994b] Distribution and hosts Only known from Poland on Acrulia Thomson, 1858 and Proteinus Latreille, 1796 and also from Spain on Baptolinus affinis (Paykull, 1789) (Santamaria 1989). All hosts belong to Col. Staphylinidae. Collections examined from Denmark On Acrulia inflata (Gyllenhal, 1813) (Col. Staphylinidae Omalinae) DENMARK – Østjylland (EJ) • Hald Ege; 56°24.287′ N, 9°20.550′ E; NH25; 19 Oct. 2013; JP 799; JP det.; ZMUC C-F-123294. – Sydsjaelland (SZ) • Havnen i Naestved; 55°13.583′ E, 11 45.278′ E; PG72; 6 Jan. 1999; JP Dry0097; JP det.; ZMUC C-F-124163. – Vestjylland (WJ) • Estrup Skov; 55°29.601′ N, 9°4.608′ E; NG05; 5 Aug. 1928; Johs. Andersen Dry0098; Johs. Andersen; ZMUC C-F-124164. Remarks First record from Denmark. According to Tavares (in litt.) this species may belong to the genus Carpophoromyces. Thalli from Acrulia represent a reduced form where the second perithecium is shown at the one-celled initial stage (cell d), and maybe it never develops beyond that (Majewski 1994b).Published as part of Santamaria, Sergi & Pedersen, Jan, 2021, Laboulbeniomycetes (Fungi, Ascomycota) of Denmark, pp. 1-425 in European Journal of Taxonomy 781 on pages 57-58, DOI: 10.5852/ejt.2021.781.1583, http://zenodo.org/record/582892
Dipodomyces phloeocharidis T. Majewski
No full textDipodomyces phloeocharidis T.Majewski MB#110622 Fig. 52C–G Acta Mycologica 17 (1–2): 55 (Majewski 1982). – Type: “ On Phloeocharis subtilissima Mann. (Col., Staphylinidae): Pomiechówek near Nowy Dwór Mazowiecki (Warszawa voivodeship), under the bark of dry, standing Pinus sylvestris in a pine wood close to the Wkra river,… 21.8.1977 (TM. … 1701 – holotype), leg. T. Majewski ”; KRAM. [Poland] Diagnostic features Primary appendage consisting of a main axis of three superposed cells (Fig. 52C, *), once to three times ramified in branches terminated by elongated antheridia. Primary septum slightly constricted and darkened (Fig. 52C, a). A spinous process (the original spore apex, sx) is found on the outer side of the 4 th cell of the primary appendage (Fig. 52F, sx). Perithecium asymmetric, with a strongly convex outer margin and a straight inner margin, gradually tapering towards the pointed apex which shows three long and one short acute lips. [Detailed description: Majewski 1994b] Distribution and hosts Known only from the type host in Poland. Collections examined from Denmark On Phloeocharis subtilissima Mannerheim, 1830 (Col. Staphylinidae Phloeocharinae) DENMARK – Nordøstsjaelland (NEZ) • Liseleje; 56°1.048′ N, 11°58.454′ E; PH81; 14 Sep. 2014; JP 39; JP det.; ZMUC C-F-122514. Remarks First record from Denmark and the first outside the type country. The host is quite common and widespread in Denmark and not difficult to find under dead and dry bark of various trees (both conifers and deciduous trees), but the fungus is apparently very rarely collected. This species greatly differs from D. monstruosus, the type of the genus, and its inclusion in Dipodomyces requires an emendation of the generic diagnosis (Majewski 1982), or the description of a new genus. The trichogyne of this species shows an unusual subspherical shape (Fig. 52G, tr). Worth mentioning is the presence of reduced male thalli with apparently functional antheridia, accompanying the normal monoecious thalli (Fig. 52E). A photo of this species is given here for the first time.Published as part of Santamaria, Sergi & Pedersen, Jan, 2021, Laboulbeniomycetes (Fungi, Ascomycota) of Denmark, pp. 1-425 in European Journal of Taxonomy 781 on pages 235-236, DOI: 10.5852/ejt.2021.781.1583, http://zenodo.org/record/582892
Intelligent opinion mining and sentiment analysis using artificial neural networks
Get PDFThe article formulates a rigorously developed concept of opinion mining and sentiment analysis using hybrid neural networks. This conceptual method for processing natural-language text enables a variety of analyses of the subjective content of texts. It is a methodology based on hybrid neural networks for detecting subjective content and potential opinions, as well as a method which allows us to classify different opinion type and sentiment score classes. Moreover, a general processing scheme, using neural networks, for sentiment and opinion analysis has been presented. Furthermore, a methodology which allows us to determine sentiment regression has been devised. The paper proposes a method for classification of the text being examined based on the amount of positive, neutral or negative opinion it contains. The research presented here offers the possibility of motivating and inspiring further development of the methods that have been elaborated in this paper.Stuart, KDC.; Majewski, M. (2015). Intelligent opinion mining and sentiment analysis using artificial neural networks. Lecture Notes in Computer Science. 9492:103-110. doi:10.1007/978-3-319-26561-2_13S1031109492Feldman, R.: Techniques and applications for sentiment analysis. Commun. ACM 56(4), 82–89 (2013)Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Comput. Linguist. 37(2), 267–307 (2011)Mohammad, S.M., Turney, P.D.: Crowdsourcing a word-emotion association lexicon. Comput. Intell. 29(3), 436–465 (2013)Chen, H., Zimbra, D.: AI and opinion mining. IEEE Intell. Syst. 25(3), 74–80 (2010)Majewski, M., Zurada, J.M.: Sentence recognition using artificial neural networks. Knowl. Based Syst. 21(7), 629–635 (2008)Kacalak, W., Stuart, K.D., Majewski, M.: Intelligent natural language processing. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds.) ICNC 2006. LNCS, vol. 4221, pp. 584–587. Springer, Heidelberg (2006)Kacalak, W., Stuart, K., Majewski, M.: Selected problems of intelligent handwriting recognition. In: Melin, P., Castillo, O., Ramírez, E.G., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. Advances in Soft Computing, vol. 41, pp. 298–305. Springer, Cancun (2007)Stuart, K.D., Majewski, M.: Selected problems of knowledge discovery using artificial neural networks. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds.) ISNN 2007, Part III. LNCS, vol. 4493, pp. 1049–1057. Springer, Heidelberg (2007)Stuart, K., Majewski, M.: A new method for intelligent knowledge discovery. In: Castillo, O., Melin, P., Ross, O.M., Cruz, R.S., Pedrycz, W., Kacprzyk, J. (eds.) IFSA 2007. Advances in Soft Computing, vol. 42, pp. 721–729. Springer, Heidelberg (2007)Stuart, K.D., Majewski, M.: Artificial creativity in linguistics using evolvable fuzzy neural networks. In: Hornby, G.S., Sekanina, L., Haddow, P.C. (eds.) ICES 2008. LNCS, vol. 5216, pp. 437–442. Springer, Heidelberg (2008)Stuart, K.D., Majewski, M.: Evolvable neuro-fuzzy system for artificial creativity in linguistics. In: Huang, D.-S., Wunsch II, D.C., Levine, D.S., Jo, K.-H. (eds.) ICIC 2008. LNCS (LNAI), vol. 5227, pp. 46–53. Springer, Heidelberg (2008)Stuart, K.D., Majewski, M., Trelis, A.B.: Selected problems of intelligent corpus analysis through probabilistic neural networks. In: Zhang, L., Lu, B.-L., Kwok, J. (eds.) ISNN 2010, Part II. LNCS, vol. 6064, pp. 268–275. Springer, Heidelberg (2010)Stuart, K.D., Majewski, M., Trelis, A.B.: Intelligent semantic-based system for corpus analysis through hybrid probabilistic neural networks. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds.) ISNN 2011, Part I. LNCS, vol. 6675, pp. 83–92. Springer, Heidelberg (2011)Specht, D.F.: Probabilistic neural networks. Neural Netw. 3(1), 109–118 (1990)Specht, D.F.: A general regression neural network. IEEE Trans. Neural Netw. 2(6), 568–576 (1991
The Asymmetric Travelling Salesman Problem In Sparse Digraphs
Get PDFAsymmetric Travelling Salesman Problem (ATSP) and its special case Directed Hamiltonicity are among the most fundamental problems in computer science. The dynamic programming algorithm running in time ^*(2ⁿ) developed almost 60 years ago by Bellman, Held and Karp, is still the state of the art for both of these problems.
In this work we focus on sparse digraphs.
First, we recall known approaches for Undirected Hamiltonicity and TSP in sparse graphs and we analyse their consequences for Directed Hamiltonicity and ATSP in sparse digraphs, either by adapting the algorithm, or by using reductions. In this way, we get a number of running time upper bounds for a few classes of sparse digraphs, including ^*(2^(n/3)) for digraphs with both out- and indegree bounded by 2, and ^*(3^(n/2)) for digraphs with outdegree bounded by 3.
Our main results are focused on digraphs of bounded average outdegree d. The baseline for ATSP here is a simple enumeration of cycle covers which can be done in time bounded by ^*(μ(d)ⁿ) for a function μ(d) ≤ (⌈d⌉!)^(1/⌈d⌉). One can also observe that Directed Hamiltonicity can be solved in randomized time ^*((2-2^(-d))ⁿ) and polynomial space, by adapting a recent result of Björklund [ISAAC 2018] stated originally for Undirected Hamiltonicity in sparse bipartite graphs. We present two new deterministic algorithms for ATSP: the first running in time (2^(0.441(d-1)n)) and polynomial space, and the second in exponential space with running time of ^*(τ(d)^(n/2)) for a function τ(d) ≤ d
MeSH term explosion and author rank improve expert recommendations
Get PDFInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Sobriétés de la pierre : Georg Hüter (D), Johan Parmentier (B), Gerard Van Rooy (NL) = Soberheid in steen : Georg Hüter (D), Johan Parmentier (B), Gerard Van Rooy (NL) = Schlich Theit des Steines : Georg Hüter (D), Johan Parmentier (B), Gerard Van Rooy (NL) = Sobrieties of the Stone : Georg Hüter (D), Johan Parmentier (B), Gerard Van Rooy (NL)
No full textSchmid comments on the formal vocabulary of Hüter's sculpture while Jooris notes Parmentier's consideration of fundamental forms. Van Rooy presents his works and introduces himself as a primary sculptor. Introductory text by Majewski. Biographical notes
- …
