143 research outputs found
PEMBELAJARAN KOOPERATIF TIPE JIGSAW UNTUK MATERI STATISTIK PADA SISWA KELAS XI SMAK ALVAREZ PAGA TAHUN PELAJARAN 2014/2015
As a teacher, it should be able to find effective learning methods, which can improve student learning outcomes. One method that can be used is the method of cooperative learning Jigsaw type that prioritizes cooperation in the Learning Group.
The type of research used in this study is experimental research initiated with learning device development. In the study, the population was all students of class XI SMAK Alvarez, who became a sample of 30 people. The data sources in the study gained from the student learning results test and the approach used are quantitative approaches to data collection techniques. Data is processed by statistical analysis of Inferential using ANOVA.
The development of learning devices using the method of cooperative learning of Jigsaw type qualifies for validity, reliability, and sensitivity to generate students ' learning outcomes, the resulting learning devices are the Learning Implementation Plan (RPP), Student Worksheets (LKS), and learning Outcomes Test (THB). While the results of statistical analysis inferential with analysis Kovarian obtained F-count = 56.92 greater than F-table = 4.21 with DK the numerator = 1 and DK denominator 27
Artificial Intelligence Method for Electric Drives Mode Operating and Technical Condition Determination
This paper proposes artificial intelligence method to determinate the status of electromechanical equipment by analysing the changes in the readings o parameters of its operating mode. As experimental results have revealed the dependence of wavelet transformation coefficients on the characteristic scales of functional and faulty motors under different loads. based on which a neural classification network is developed to reveal the current state of the electromechanical equipment. Further studies have shown that any mother wavelet function can be used to implement the proposed method. The researches of the state of the drive under various loads confirm the correctness of the theoretical calculations and the adequacy of the model
Capturing a c2 daisy chain using the threading-followed-by-swelling approach
We have used the "threading-followed-by-swelling'' approach to fix a daisy chain structure in solution, leading to the isolation of a captured [c2] daisy chain in 77% yield
Impedance analysis of secondary phases in a Co-implanted ZnO single crystal
published_or_final_versio
A meta-analysis reveals the commonalities and differences in Arabidopsis thaliana response to different viral pathogens
Understanding the mechanisms by which plants trigger host defenses in response to viruses has been a challenging problem owing to the multiplicity of factors and complexity of interactions involved. The advent of genomic techniques, however, has opened the possibility to grasp a global picture of the interaction. Here, we used Arabidopsis thaliana to identify and compare genes that are differentially regulated upon infection with seven distinct (+)ssRNA and one ssDNA plant viruses. In the first approach, we established lists of genes differentially affected by each virus and compared their involvement in biological functions and metabolic processes. We found that phylogenetically related viruses significantly alter the expression of similar genes and that viruses naturally infecting Brassicaceae display a greater overlap in the plant response. In the second approach, virus-regulated genes were contextualized using models of transcriptional and protein-protein interaction networks of A. thaliana. Our results confirm that host cells undergo significant reprogramming of their transcriptome during infection, which is possibly a central requirement for the mounting of host defenses. We uncovered a general mode of action in which perturbations preferentially affect genes that are highly connected, central and organized in modules. © 2012 Rodrigo et al.This work was supported by the Spanish Ministerio de Ciencia e Innovacion (MICINN) grants BFU2009-06993 (S. F. E.) and BIO2006-13107 (C. L.) and by Generalitat Valenciana grant PROMETEO2010/016 (S. F. E.). G. R. is supported by a graduate fellowship from the Generalitat Valenciana (BFPI2007-160) and J.C. by a contract from MICINN grant TIN2006-12860. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Rodrigo Tarrega, G.; Carrera Montesinos, J.; Ruiz-Ferrer, V.; Del Toro, F.; Llave, C.; Voinnet, O.; Elena Fito, SF. (2012). A meta-analysis reveals the commonalities and differences in Arabidopsis thaliana response to different viral pathogens. PLoS ONE. 7(7):40526-40526. https://doi.org/10.1371/journal.pone.0040526S405264052677Peng, X., Chan, E. Y., Li, Y., Diamond, D. L., Korth, M. J., & Katze, M. G. (2009). Virus–host interactions: from systems biology to translational research. Current Opinion in Microbiology, 12(4), 432-438. doi:10.1016/j.mib.2009.06.003Dodds, P. N., & Rathjen, J. P. (2010). Plant immunity: towards an integrated view of plant–pathogen interactions. Nature Reviews Genetics, 11(8), 539-548. doi:10.1038/nrg2812Maule, A., Leh, V., & Lederer, C. (2002). The dialogue between viruses and hosts in compatible interactions. Current Opinion in Plant Biology, 5(4), 279-284. doi:10.1016/s1369-5266(02)00272-8Whitham, S. A., Quan, S., Chang, H.-S., Cooper, B., Estes, B., Zhu, T., … Hou, Y.-M. (2003). Diverse RNA viruses elicit the expression of common sets of genes in susceptibleArabidopsis thalianaplants. The Plant Journal, 33(2), 271-283. doi:10.1046/j.1365-313x.2003.01625.xBailer, S., & Haas, J. (2009). Connecting viral with cellular interactomes. Current Opinion in Microbiology, 12(4), 453-459. doi:10.1016/j.mib.2009.06.004Whitham, S. A., Yang, C., & Goodin, M. M. (2006). Global Impact: Elucidating Plant Responses to Viral Infection. Molecular Plant-Microbe Interactions, 19(11), 1207-1215. doi:10.1094/mpmi-19-1207MacPherson, J. I., Dickerson, J. E., Pinney, J. W., & Robertson, D. L. (2010). Patterns of HIV-1 Protein Interaction Identify Perturbed Host-Cellular Subsystems. PLoS Computational Biology, 6(7), e1000863. doi:10.1371/journal.pcbi.1000863Jenner, R. G., & Young, R. A. (2005). Insights into host responses against pathogens from transcriptional profiling. Nature Reviews Microbiology, 3(4), 281-294. doi:10.1038/nrmicro1126Andeweg, A. C., Haagmans, B. L., & Osterhaus, A. D. (2008). Virogenomics: the virus–host interaction revisited. Current Opinion in Microbiology, 11(5), 461-466. doi:10.1016/j.mib.2008.09.010Elena, S. F., Carrera, J., & Rodrigo, G. (2011). A systems biology approach to the evolution of plant–virus interactions. Current Opinion in Plant Biology, 14(4), 372-377. doi:10.1016/j.pbi.2011.03.013Tan, S.-L., Ganji, G., Paeper, B., Proll, S., & Katze, M. G. (2007). Systems biology and the host response to viral infection. Nature Biotechnology, 25(12), 1383-1389. doi:10.1038/nbt1207-1383De la Fuente, A. (2010). From ‘differential expression’ to ‘differential networking’ – identification of dysfunctional regulatory networks in diseases. Trends in Genetics, 26(7), 326-333. doi:10.1016/j.tig.2010.05.001Albert, R. (2005). Scale-free networks in cell biology. Journal of Cell Science, 118(21), 4947-4957. doi:10.1242/jcs.02714Yu, H., Braun, P., Yildirim, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., … Vidal, M. (2008). High-Quality Binary Protein Interaction Map of the Yeast Interactome Network. Science, 322(5898), 104-110. doi:10.1126/science.1158684Barabási, A.-L., & Oltvai, Z. N. (2004). Network biology: understanding the cell’s functional organization. Nature Reviews Genetics, 5(2), 101-113. doi:10.1038/nrg1272Albert, R., Jeong, H., & Barabási, A.-L. (2000). Error and attack tolerance of complex networks. Nature, 406(6794), 378-382. doi:10.1038/35019019Mukhtar, M. S., Carvunis, A.-R., Dreze, M., Epple, P., Steinbrenner, J., … Moore, J. (2011). Independently Evolved Virulence Effectors Converge onto Hubs in a Plant Immune System Network. Science, 333(6042), 596-601. doi:10.1126/science.1203659Calderwood, M. A., Venkatesan, K., Xing, L., Chase, M. R., Vazquez, A., Holthaus, A. M., … Johannsen, E. (2007). Epstein-Barr virus and virus human protein interaction maps. Proceedings of the National Academy of Sciences, 104(18), 7606-7611. doi:10.1073/pnas.0702332104De Chassey, B., Navratil, V., Tafforeau, L., Hiet, M. S., Aublin‐Gex, A., Agaugué, S., … Lotteau, V. (2008). Hepatitis C virus infection protein network. Molecular Systems Biology, 4(1), 230. doi:10.1038/msb.2008.66Shapira, S. D., Gat-Viks, I., Shum, B. O. V., Dricot, A., de Grace, M. M., Wu, L., … Hacohen, N. (2009). A Physical and Regulatory Map of Host-Influenza Interactions Reveals Pathways in H1N1 Infection. Cell, 139(7), 1255-1267. doi:10.1016/j.cell.2009.12.018Dyer, M. D., Murali, T. M., & Sobral, B. W. (2008). The Landscape of Human Proteins Interacting with Viruses and Other Pathogens. PLoS Pathogens, 4(2), e32. doi:10.1371/journal.ppat.0040032Golem, S., & Culver, J. N. (2003). Tobacco mosaic virusInduced Alterations in the Gene Expression Profile ofArabidopsis thaliana. Molecular Plant-Microbe Interactions, 16(8), 681-688. doi:10.1094/mpmi.2003.16.8.681Espinoza, C., Medina, C., Somerville, S., & Arce-Johnson, P. (2007). Senescence-associated genes induced during compatible viral interactions with grapevine and Arabidopsis. Journal of Experimental Botany, 58(12), 3197-3212. doi:10.1093/jxb/erm165Yang, C., Guo, R., Jie, F., Nettleton, D., Peng, J., Carr, T., … Whitham, S. A. (2007). Spatial Analysis ofArabidopsis thalianaGene Expression in Response toTurnip mosaic virusInfection. Molecular Plant-Microbe Interactions, 20(4), 358-370. doi:10.1094/mpmi-20-4-0358Agudelo-Romero, P., Carbonell, P., de la Iglesia, F., Carrera, J., Rodrigo, G., Jaramillo, A., … Elena, S. F. (2008). Changes in the gene expression profile of Arabidopsis thaliana after infection with Tobacco etch virus. Virology Journal, 5(1), 92. doi:10.1186/1743-422x-5-92Agudelo-Romero, P., Carbonell, P., Perez-Amador, M. A., & Elena, S. F. (2008). Virus Adaptation by Manipulation of Host’s Gene Expression. PLoS ONE, 3(6), e2397. doi:10.1371/journal.pone.0002397Ascencio-Ibáñez, J. T., Sozzani, R., Lee, T.-J., Chu, T.-M., Wolfinger, R. D., Cella, R., & Hanley-Bowdoin, L. (2008). Global Analysis of Arabidopsis Gene Expression Uncovers a Complex Array of Changes Impacting Pathogen Response and Cell Cycle during Geminivirus Infection. Plant Physiology, 148(1), 436-454. doi:10.1104/pp.108.121038Babu, M., Griffiths, J. S., Huang, T.-S., & Wang, A. (2008). Altered gene expression changes in Arabidopsis leaf tissues and protoplasts in response to Plum pox virus infection. BMC Genomics, 9(1), 325. doi:10.1186/1471-2164-9-325De Vienne, D. M., Giraud, T., & Martin, O. C. (2007). A congruence index for testing topological similarity between trees. Bioinformatics, 23(23), 3119-3124. doi:10.1093/bioinformatics/btm500Wise, R. P., Moscou, M. J., Bogdanove, A. J., & Whitham, S. A. (2007). Transcript Profiling in Host–Pathogen Interactions. Annual Review of Phytopathology, 45(1), 329-369. doi:10.1146/annurev.phyto.45.011107.143944Handford, M. G., & Carr, J. P. (2007). A defect in carbohydrate metabolism ameliorates symptom severity in virus-infected Arabidopsis thaliana. Journal of General Virology, 88(1), 337-341. doi:10.1099/vir.0.82376-0Hou, B., Lim, E.-K., Higgins, G. S., & Bowles, D. J. (2004). N-Glucosylation of Cytokinins by Glycosyltransferases ofArabidopsis thaliana. Journal of Biological Chemistry, 279(46), 47822-47832. doi:10.1074/jbc.m409569200Schwender, J., Goffman, F., Ohlrogge, J. B., & Shachar-Hill, Y. (2004). Rubisco without the Calvin cycle improves the carbon efficiency of developing green seeds. Nature, 432(7018), 779-782. doi:10.1038/nature03145Pagán, I., Alonso-Blanco, C., & García-Arenal, F. (2008). Host Responses in Life-History Traits and Tolerance to Virus Infection in Arabidopsis thaliana. PLoS Pathogens, 4(8), e1000124. doi:10.1371/journal.ppat.1000124Carrera, J., Rodrigo, G., Jaramillo, A., & Elena, S. F. (2009). Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions. Genome Biology, 10(9), R96. doi:10.1186/gb-2009-10-9-r96Geisler-Lee, J., O’Toole, N., Ammar, R., Provart, N. J., Millar, A. H., & Geisler, M. (2007). A Predicted Interactome for Arabidopsis. Plant Physiology, 145(2), 317-329. doi:10.1104/pp.107.103465Ma, S., Gong, Q., & Bohnert, H. J. (2007). An Arabidopsis gene network based on the graphical Gaussian model. Genome Research, 17(11), 1614-1625. doi:10.1101/gr.6911207Yamada, T., & Bork, P. (2009). Evolution of biomolecular networks — lessons from metabolic and protein interactions. Nature Reviews Molecular Cell Biology, 10(11), 791-803. doi:10.1038/nrm2787Humphries, M. D., & Gurney, K. (2008). Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence. PLoS ONE, 3(4), e0002051. doi:10.1371/journal.pone.0002051Stumpf, M. P. H., & Ingram, P. J. (2005). Probability models for degree distributions of protein interaction networks. Europhysics Letters (EPL), 71(1), 152-158. doi:10.1209/epl/i2004-10531-8Khanin, R., & Wit, E. (2006). How Scale-Free Are Biological Networks. Journal of Computational Biology, 13(3), 810-818. doi:10.1089/cmb.2006.13.810Daudin, J.-J., Picard, F., & Robin, S. (2007). A mixture model for random graphs. Statistics and Computing, 18(2), 173-183. doi:10.1007/s11222-007-9046-7Uetz, P. (2006). Herpesviral Protein Networks and Their Interaction with the Human Proteome. Science, 311(5758), 239-242. doi:10.1126/science.1116804Choi, I.-R., Stenger, D. C., & French, R. (2000). Multiple Interactions among Proteins Encoded by the Mite-Transmitted Wheat Streak Mosaic Tritimovirus. Virology, 267(2), 185-198. doi:10.1006/viro.1999.0117Guo, D., Saarma, M., Rajamäki, M.-L., & Valkonen, J. P. T. (2001). Towards a protein interaction map of potyviruses: protein interaction matrixes of two potyviruses based on the yeast two-hybrid system. Journal of General Virology, 82(4), 935-939. doi:10.1099/0022-1317-82-4-935Lin, L., Shi, Y., Luo, Z., Lu, Y., Zheng, H., Yan, F., … Wu, Y. (2009). Protein–protein interactions in two potyviruses using the yeast two-hybrid system. Virus Research, 142(1-2), 36-40. doi:10.1016/j.virusres.2009.01.006Shen, W., Wang, M., Yan, P., Gao, L., & Zhou, P. (2010). Protein interaction matrix of Papaya ringspot virus type P based on a yeast two-hybrid system. Acta Virologica, 54(1), 49-54. doi:10.4149/av_2010_01_49Redner, S. (2008). Teasing out the missing links. Nature, 453(7191), 47-48. doi:10.1038/453047aIrizarry, R. A. (2003). Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics, 4(2), 249-264. doi:10.1093/biostatistics/4.2.249Smyth, G. K. (2004). Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments. Statistical Applications in Genetics and Molecular Biology, 3(1), 1-25. doi:10.2202/1544-6115.1027Allemeersch, J., Durinck, S., Vanderhaeghen, R., Alard, P., Maes, R., Seeuws, K., … Kuiper, M. T. R. (2005). Benchmarking the CATMA Microarray. A Novel Tool forArabidopsis Transcriptome Analysis. Plant Physiology, 137(2), 588-601. doi:10.1104/pp.104.051300Cleveland, W. S. (1979). Robust Locally Weighted Regression and Smoothing Scatterplots. Journal of the American Statistical Association, 74(368), 829-836. doi:10.1080/01621459.1979.10481038Tarraga, J., Medina, I., Carbonell, J., Huerta-Cepas, J., Minguez, P., Alloza, E., … Dopazo, J. (2008). GEPAS, a web-based tool for microarray data analysis and interpretation. Nucleic Acids Research, 36(Web Server), W308-W314. doi:10.1093/nar/gkn303Al-Shahrour, F., Minguez, P., Vaquerizas, J. M., Conde, L., & Dopazo, J. (2005). BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments. Nucleic Acids Research, 33(Web Server), W460-W464. doi:10.1093/nar/gki456Al-Shahrour, F., Minguez, P., Tárraga, J., Medina, I., Alloza, E., Montaner, D., & Dopazo, J. (2007). FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments. Nucleic Acids Research, 35(suppl_2), W91-W96. doi:10.1093/nar/gkm260Mueller, L. A., Zhang, P., & Rhee, S. Y. (2003). AraCyc: A Biochemical Pathway Database for Arabidopsis. Plant Physiology, 132(2), 453-460. doi:10.1104/pp.102.017236Navratil, V., de Chassey, B., Combe, C., & Lotteau, V. (2011). When the human viral infectome and diseasome networks collide: towards a systems biology platform for the aetiology of human diseases. BMC Systems Biology, 5(1), 13. doi:10.1186/1752-0509-5-13Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27(3), 379-423. doi:10.1002/j.1538-7305.1948.tb01338.
Analysis of Security Information and Event Management System Characteristics
Koncept upravljanja sigurnosnim informacijama i događajima odnosi se na procese prikupljanja, obrade, korelacije, analize i vizualizacije događaja sigurnosnog informacijskog sustava. Automatizacijom sigurnosnih procesa mogu se postići znatni napredci u kontroli i viziji sustava kao cjeline za razliku od tradicionalnog sustava decentraliziranog prikupljanja događaja. Temeljna ideja ovoga rada je opisati važnost upravljanja sigurnosnim događajima i problematiku implementacije sigurnosnih sustava te prikazati svojstva SIEM (eng. Security
Information and Event Management) sustava
Computer modelling and experimental validation of proton exchange membrane fuel cells for maritime applications
Vodikov membranski gorivni članak je primjenjiv u pomorstvu zato što je kod putovanja trgovačkim i teretnim brodovima brzina plovidbe konstantna. Opterećenje pogona broda se ne mijenja nakon dostizanja projektne brzine, što odgovara sprječavanju stvaranja kapljica vode unutar kanala svežnja gorivnih članaka. Iznimno, promjena opterećenja se može dogoditi zbog dodatnog otpora valova prilikom nailaska na valove i ubrzanja broda, s time da se takve oscilacije mogu pokriti baterijskim paketom, koje će pokriti razliku opterećenja na svežanj gorivnih članaka. Iz tog razloga se ovaj diplomski bavi problematikom modeliranja, optimiranja i eksperimentalnog ispitivanja vodikovih membranskih gorivnih članaka za moguću upotrebu u pomorstvu. Eksperimentalno istraživanje vodikovog membranskog gorivnog članka s 3 serpentine je vršeno kako bi se mogao razviti računalni model za predviđanje, razvoj optimalne geometrije i poboljšanje performansi jediničnog gorivnog članka, te za implementaciju poboljšanja u svežanj gorivnih članaka. Rezultat optimiranja je geometrija s 4 serpentine, koja se koristi za svežanj. Direktna numerička simulacija nije provedena, ali geometrija jediničnog gorivnog članka se minimalno prilagodila, kako te promjene ne bi utjecale na performanse gorivnog članka i kako bi se ta geometrija implementirala u svežanj gorivnih članaka. Potrebno je razviti sustav hlađenja, koji bi mogao odvesti toplinu iz svežnja gorivnog članka, ali u ovom diplomskom radu se nije bavilo termalnom analizom svežnja gorivnih članaka.PEM fuel cell has a lot of potential for the shipbuilding industry because commercial and cargo vessel move at project speed, which is constant. Engine load is not changed after the project speed of ship is accomplished, which is a good trait for preventing water droplet accumulation inside of PEM fuel cell stack channels. Exceptionally load can be changed while there are sea waves and if a vessel is accelerating, that oscillations can be covered by a battery pack that will dissolve the load difference of the PEM fuel cell stack under working conditions. For that purpose, this master’s thesis conducts research about computational fluid dynamics optimization and experimental validation of PEM fuel cells. Experimental research of PEM fuel cell with 3 serpentines has been conducted with the purpose of creating a computational fluid dynamics model for the prediction and development of optimal bipolar plates geometry, improving single cell fuel cell performance and consequently implementing improvements to fuel cell stack development. The optimization process result is bipolar plate geometry with 4 serpentines, that have been used for fuel cell stack. Direct CFD simulation wasn’t conducted, but the geometry of the optimal fuel cell was adapted as low as possible so that adaptations don’t affect the performance of single cell fuel cell. It is necessary to develop a cooling system which could manage heat transfer from the inner part of the fuel cell stack, but in this master thesis heat transfer analysis of the fuel cell stack wasn’t conducted
ANALIZA USPJEŠNOSTI POSLOVANJA ZRAČNE LUKE SPLIT D.O.O. KAŠTELA U PERIODU OD 2014. DO 2019. GODINE : Završni rad
Zračni promet najbrže je rastuća i najkompleksnija grana za prijevoz ljudi i robe. Svoj napredak duguje razvoju globalne ekonomije kao i deregulaciji i liberalizaciji zračnog tržišta. Svake se godine bilježi veća stopa rasta kako na internacionalnoj tako i na domaćoj razini. Zračna luka Split d.o.o. druga je najveća međunarodna zračna luka u Republici Hrvatskoj. Svoj razvoj velikim dijelom duguje turizmu pošto je Hrvatska u zadnjih par godina postala poželjna turistička destinacija. Međutim problem predstavlja orijentiranost ka sezonskom turizmu odnosno oscilacije u broju putnika iznimno variraju u ljetnom i zimskom periodu što je posebno izraženo u obalnim zračnim lukama. Cilj ovog završnog rada bio je odrediti da li poduzeće Zračna luka Split, d.o.o. posluje uspješno u razdoblju od 2014. do 2019. godine, koristeći se analizom financijskog izvješća koji se smatra glavnom karikom u analizi cjelokupnog poslovanja te je preduvjet za racionalno upravljanje dostupnim resursima. Ponajprije su objašnjene sve stavke koje čine financijski izvještaj kao i metode koje su korištene za analizu uspješnosti poslovanja u promatranom vremenskom periodu. Iz dobivenih rezultata je vidljivo da Zračna luka Split d.o.o. posluje u dobitku pošto ukupni prihodi nadmašuju ukupne rashode što znači da je poduzeće u mogućnosti podmiriti sva dugovanja u zadanim rokovima. Vrijednost ukupne imovine je u stalnom porastu, kao i vrijednost ukupne kratkotrajne imovine. Novac u banci i blagajni u blagom je padu zbog nedavnih ulaganja u obnovu terminala dok je temeljni kapital stalan. Koeficijent trenutne likvidnosti pokazuje pokrivenost kratkoročnih obveza novčanim sredstvima. Novčana sredstva su u promatranom razdoblju uvijek bila veća od onih kratkoročnih obveza što ukazuje na dobru likvidnost poduzeća. Svake je godine zabilježen porast u broju putnika.Air transportation is the fastest growing and most complex branch for the transport of people and goods. It owes its progress to the development of the global economy as well as to the deregulation and liberalization of the air market. Every year, a higher growth rate is recorded both internationally and domestically. Split Airport d.o.o. it is the second largest international airport in the Republic of Croatia. It owes much of its development to tourism, since Croatia has become a more desirable tourisict destination in the last couple of years. However, the problem is the orientation towards seasonal tourism, ie the oscillations in the number of passengers vary greatly in summer and winter, which is especially pronounced in coastal airports. The aim of this final paper was to determine whether this company operates successfully on the examined period (from 2014 to 2019), using the financial reports, which are considered to be the main tool when analyzing the success of any business and are a postulate for the rationalization and management of the companies resources. First of all, all of the components that make up the financial reports have been explained, as well as the methods used for the analysis. From the obtained results it is evident that the Split Airport d.o.o. operates at a profit as total revenues exceed total expenses which means that the company is able to settle all debts within the given deadlines. The value of total assets is constantly increasing, as is the value of total current assets. Money in the bank and cash register is in a slight decline due to recent investments in the renovation of the terminal while the share capital is constant. The current liquidity ratio shows the coverage of short-term liabilities by cash funds. Total cash in the observed period was always higher than short-term liabilities, which indicates a good liquidity of the company. Every year there is an increase in the number of passengers
UTJECAJ OZALJSKOG KNJIŽEVNO-JEZIČNOGA KRUGA NA POVIJEST HRVATSKOG JEZIKA
Ozaljski književno-jezični krug u kontekstu povijesti hrvatskoga književnoga jezika ima snažan utjecaj u 17. stoljeću. Razvitkom triju narječja (čakavsko, štokavsko i kajkavsko) dolazi do miješanja elemenata na pojedinim područjima Hrvatske, uz naglasak na Vojnu krajinu. Glavni predstavnici ovoga kruga okupljeni su oko velikaških obitelji Zrinskih i Frankopana čija nesretna životna sudbina diktira razvoj (Petar Zrinski, Ana Katarina Zrinski, Fran Krsto Frankopan, Pavao Ritter Vitezović, Ivan Belostenec i dr.) Neki ga nazivaju i hibridnim književno-jezičnim krugom. Osnovna obilježja su želja prvo spontana pa onda namjerna, da jezik približe što većem broju ljudi, interdijelektalnost te upotreba kontaktnih sinonima. Osim pjesama i pisama, u ovom krugu nalaze se i dva rječnika, ali uz nedostatak karakteristične gramatike koja bi vjerojatno bila napisana da glavni predstavnici velikaških obitelji Zrinski i Frankopana nisu 1671. godine pogubljeni u Bečkom Novom Mestu čime je prekinut njihov utjecaj kako na politički razvoj, tako i na razvoj hrvatskoga književnog jezika.In the historical context of the Croatian literary language, the Ozalj literary-linguistic circle had a strong influence in the 17th century. The development of three dialects (Chakavian, Shtokavian and Kajkavian) led to the mixing of elements in certain areas of Croatia, with an emphasis on Vojna Krajina. The main representatives of this circle are gathered around the noble families Zrinski and Frankopan, whose unfortunate life fate dictates the development (Petar Zrinski, Ana Katarina Zrinski, Fran Krsto Frankopan, Pavao Ritter Vitezović, Ivan Belostenec, etc.). Some call it a hybrid literary-linguistic circle. The basic characteristics are the desire, first spontaneous and then deliberate, to bring the language closer to as many people as possible, interdialectalism and the use of contact synonyms. In addition to poems and letters, there are also two dictionares in this circle, but with the lack of a characteristic grammar that would probably have been written if the main representatives of the noble families Zrinski and Frankopan had not been executed in Vienna's New Town (Wiener Neustadt) in 1671, which ended their influence on political development, as well as the developmen of the Croatian literary language
- …