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Journal articles on the topic 'Domaćin'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Mušović, Maida. "TRANSNACIONALNE KOMPANIJE I ZEMLJA DOMAĆIN." Socioeconomica 2, no. 4 (2013): 363–47. http://dx.doi.org/10.12803/sjseco.246413.

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2

Grgić, Slavko, Renata Baličević, Karolina Vrandečić, Helena Ereš, and Jelena Ilić. "Primjena endofitnih organizama u zaštiti bilja." Glasnik zaštite bilja 44, no. 4 (2021): 48–51. http://dx.doi.org/10.31727/gzb.44.4.6.

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Stalna uporaba sistemičnih pesticida može povećati prinos i kvalitetu usjeva, ali dovodi do povećanja rezistentnosti štetnih organizama, ali i do pojavnosti rezidua u hrani i okolišu. Stoga je namjera okolišno šetne načine zaštite bilja zamijeniti alternativnima, koristeći ekološki prihvatljivije komponente. Biološka zaštita bilja suprotnost je korištenju kemijskih pesticida te pozitivno utječe na bioraznolikost i razvoj bioloških ciklusa. Jedan od oblika biološke zaštite je i primjena endofitnih organizama koji u svom životnom ciklusu nastanjuju biljku, ali joj ne čine štetu niti u jednom sta

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3

Đurđević, Anica. "GRADOVI I VELIKI DOGAĐAJI: NOVI SAD – POTENCIJALNI DOMAĆIN PESME EVROVIZIJE." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 39, no. 04 (2024): 465–68. http://dx.doi.org/10.24867/26fa10djurdjevic.

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U sve konkurentnijem globalnom okruženju, gradovi usvajaju različite strategije kako bi postigli konkurentsku prednost. Ovaj rad istražuje kako veliki međunarodni događaji mogu postati ključna komponenta strategije za urbani i ekonomski razvoj gradova i predlaže strategiju za Novi Sad kao potencijalnog domaćina Pesme Evrovizije uz dugoročni razvoj grada i ostvarenje održivog napretka u budućnosti.

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Ilić, Jelena, and Nikolina Pilinger. "Rasprostranjenost Fusarium vrsta prema korovu domaćinu i geografskoj lokaciji." Glasnik zaštite bilja 46, no. 4 (2023): 54–60. http://dx.doi.org/10.31727/gzb.46.4.6.

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Endofitne gljive žive unutar biljaka ne uzrokujući očite simptome bolesti. Korovi koji rastu u blizini poljoprivrednih polja mogu poslužiti kao alternativni domaćin ovih gljiva. Izolirali smo endofitne gljive iz 6 vrsta korova, uobičajenih za istočnu Hrvatsku te bez očitih simptoma bolesti: Abutilon theophrasti, Amaranthus retroflexus, Ambrosia arthemisiifolia, Chenopodium album, Sorghum halepense i Xantium strumarium, s osam različitih lokacija. Determinirali smo 11 vrsta roda Fusarium: F. avenaceum, F. acuminatum, F. equiseti, F. graminearum, F. oxysporum, F. proliferatum, F. semitectum, F.

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Surić, Maša, Nenad Buzjak, Ana Rimanić, Josip Faričić, Robert Lončarić, and Anica Čuka. "Izvješća sa znanstvenih skupova." Geoadria 10, no. 2 (2007): 229. http://dx.doi.org/10.15291/geoadria.1121.

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Od 29. rujna do 1. listopada 2005. godine održan je 3. hrvatski geološki kongres smeđunarodnim sudjelovanjem. Ovo najveće okupljanje znanstvenika, stručnjaka i gospodarstvenika s područja geologije održava se svake pete godine, te je nakon 1995. u Opatiji te 2000. u Cavtatu i ove godine odabrana Opatija kao domaćin. Kongres su organizirali Hrvatsko geološko društvo, Hrvatski geološki institut, Prirodoslovno-matematički fakultet (Zagreb), Rudarsko-geološko-naftni fakultet (Zagreb) i INA-Industrija nafte d.d., a pod pokroviteljstvom Ministarstva znanosti,obrazovanja i športa RH, Ministarstva gos

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Mujezinović, Osman, Kenan Zahirović, Ahmed Mujčinović, and Mirza Dautbašić. "Značajke borove imele (Viscum album subsp. austriacum (Wiesb.) Vollmann (1914)) na crnom boru u Bosni i Hercegovini." Šumarski list 141, no. 9-10 (2017): 477–82. http://dx.doi.org/10.31298/sl.141.9-10.4.

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U okviru istraživanja analizirane se karakteristike grmova imele, a domaćin na kojemu je istraživana prisutnost imele i njene osnovne karakteristike je crni bor (Pinus nigra). Na borovima se javlja posebna podvrsta bijele imele, borova imela Viscum album subsp. austriacum. Lokacija istraživanja je koncentrirana na borove kulture u mjestu Ovčari, nedaleko od Konjica. Imela na boru smatra se jednim od glavnih predisponirajućih čimbenika za njihovo sušenje. Uzorak istraživanja je sačinjavao 120 stabala crnoga bora koja su odabrana za analizu. Stabla su odabrana, tako da se obuhvati što više razli

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7

Stošić, Mirjana S. "NEPODNOŠLJIVOST SUSEDOVANJA." Kritika: časopis za filozofiju i teoriju društva 1, no. 1 (2020): 63–73. https://doi.org/10.5281/zenodo.3826541.

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Ovo istraživanje se bavi imunolo&scaron;kim praksama neimenovanog naratora u Kafkinoj poslednjoj i nedovr&scaron;enoj pripoveci &bdquo;Jazbina“ (&bdquo;Der Bau“, 1923-1924), koji gradi lavirint unutar jazbine kako bi je osigurao od mogućih uljeza koje &bdquo;poznaje“ samo po zvuku koji prave. Zvuk &scaron;i&scaron;tanja – zbog kog se opsesivno zatpavaju i otkopavaju zidovi jazbine – odgovara radikalnoj drugosti bez lica, bez identiteta. Ulazi i izlazi u Kafkinim književnim ograđenim prostorima zapravo su zaprečenje ma kakvog prolaska, nemogućnost da se bude sasvim

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Pernek, Milan, and Saša Cvetković. "Prvi nalaz agavine pipe Scyphophorus acupunctatus Gyllenhal (Coleopteara, Dryophthoridae) u Hrvatskoj." Entomologia Croatica 21, no. 1 (2022): 25–32. http://dx.doi.org/10.17971/ec.21.1.4.

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Agavina pipa, Scyphophorus acupunctatus nađena je na otoku Hvaru na poluotoku Pelegrin te u parkovima grada Hvara i Starigrada, što predstavlja prvi nalaz u Hrvatskoj. Za sada se nije proširila na okolno područje i susjedne gradove, ali s obzirom na to da se prvi simptomi napada vide tek nakon 1 do 2 godine moguće je da je agavina pipa već prisutna i u drugim dijelovima Hvara. Agavina pipa porijeklom je iz Meksika, ali se proširila na gotovo sve kontinente. U Europi je prisutna od 2000. godine u Italiji, a nakon toga pronađena je i u Španjolskoj, Cipru, Nizozemskoj i Velikoj Britaniji. Glavni

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Jažić, Amina, Almedina Zuko, Adnan Jažić, and Ivana Bartula Gustin. "Prisustvo Anisakis spp. u Bosni i Hercegovini." Meso 24, no. 5 (2022): 447–55. http://dx.doi.org/10.31727/m.24.5.2.

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Anisakijaza je zoonotsko oboljenje ljudi, uzrokovano trećim larvalnim stadijem nematoda iz familije Anisakidae. Najznačajnije vrste koje uzrokuju zoonozu i zdravstvene probleme kod ljudi su Anisakis simplex, A. pegreffii i Pseudoterranova decipiens. Ove parazitske vrste su prisutne i raširene u morima cijeloga svijeta. U životnom ciklusu nematoda iz familije Anisakidae čovjek je slučajni domaćin. U posljednjih deset godina u BiH, ispitivanja na prisustvo L3 infektivnih larvi većinom su obavljena na Odjeljenju za akvakulturu Veterinarskog instituta, Veterinarskog fakulteta Univerziteta u Saraje

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10

Milijašević, Tanja. "UTICAJ PATOGENE GLJIVE SPHAEROPSIS SAPINEA NA IZUMIRANJE ČETINARSKIH VRSTA U SRBIJI I CRNOJ GORI." Radovi Šumarskog fakulteta Univerziteta u Sarajevu 39, no. 1 (2009): 35–51. http://dx.doi.org/10.54652/rsf.2009.v39.i1.168.

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UDK 630*44:582.4(497.1) 632.4:582.4(497.1) Sphaeropsis sapinea je široko rasprostranjena parazitna gljiva u Srbiji i Crnoj Gori. Konstatovana je na Pinus nigra, P. sylvestris, P. halepensis, P. jeffrey, P. peuce, P. pinaster, P. ponderosa, P. peuce, P. pinea, P. mugo, P. heldreichii, Abies concolor, Cedrus atlantica, Chamaecyparis lawsoniana, Cupressus sempervirens, Juniperus virginiana i Thuja occidentalis. Najveće štete uzrokuje u kulturama i urbanim sredinama na crnom i alepskom boru. Pinus heldreichii, tercijerni relikt i balkanski subendemit je nov domaćin u ovim zemljama. Naj

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Vuković, Petar, and Laura Sajko. "Enklitike nakon početne sintagme u suvremenom pisanom hrvatskom." Fluminensia 36, no. 2 (2024): 321–74. https://doi.org/10.31820/f.36.2.1.

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Iako enklitike u suvremenom pisanom hrvatskom često dolaze neposredno nakon početne sintagme, npr. Njezin prijatelj je stigao kući, kodifikacijski priručnici taj položaj uglavnom proskribiraju te propisuju razdvajanje sintagme, npr. Njezin je prijatelj stigao kući, ili odgođeno smještanje enklitike, npr. Njezin prijatelj stigao je kući. Na temelju istraživanja provedenoga na korpusu sastavljenom od nelektoriranih znanstvenih tekstova veličine oko 180 000 riječi u radu1 se opisuju stvarne suvremene tendencije u smještanju enklitika u rečenicama s početnom sintagmom te se iznose preporuke za kod

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12

Pejnović, Anamarija, and Bela Njari. "Značaj ehinokokoze u javnom zdravstvu." Meso 19, no. 2 (2017): 154–58. http://dx.doi.org/10.31727/m.19.2.3.

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Ehinokokoza je kozmopolitska zoonoza koju uzrokuje odrasla ličinka Echinococcus granulosus kao uzročnik unilokularne ehinokokoze ili hidatidoze i rjeđe Echinococcus multilocularis uzročnik multilokularne ehinokokoze (alveolarna ehinokokoza). Čovjek kao prijelazni domaćin zarazi se prilikom direkt nog dodira sa invadiranim psom glavnim nositeljem parazita. Kao bolest ehinokokoza je rasprostranjena po čitavom svijetu, pa je tako nalazimo i u našoj zemlji. Kao takva pripada bolestima velikog značenja za javno zdravstvo te je stoga od kliničke i epidemiološke važnosti pravovremena i pravovaljana l

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13

Landeka, Nediljko, Mirela Uzelac, Danijela Poljuha, and Barbara Sladonja. "Prvi nalaz azijske pamučne štitaste uši Takahashia japonica u Hrvatskoj." Šumarski list 145, no. 5-6 (2021): 263–67. http://dx.doi.org/10.31298/sl.145.5-6.5.

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Azijska pamučna štitasta uš Takahashia japonica Cockerell (Hemiptera, Coccomorpha, Coccidae), vrsta je porijeklom iz Japana. U Europi je prvi put pronađena 2017. godine u Italiji te 2018. godine u Velikoj Britaniji. U ovom radu dajemo pregled prvog nalaza vrste T. japonica u Hrvatskoj. Prvi nalaz kukca T. japonica uočen je 2019. godine u Puli (Istarska županija, Hrvatska), a vrsta je determinirana u proljeće 2020 godine. Kako bi što učinkovitije prikupili terenske podatke, pokrenuli smo kampanju po načelu „građani znanstvenici“ pod naslovom: “Traži se neobičan kukac - Takahashia japonica”. Poz

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Nève Repe, Andreja, Maarten de Groot, and Maja Jurc. "Assemblages of ophiostomatoid fungi vectored by Ips amitinus (Coleoptera: Scolytinae) on norway spruce depend on colonization time, position on the host tree and development stage." Šumarski list 142, no. 3-4 (2018): 178. http://dx.doi.org/10.31298/sl.142.3-4.5.

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Mali osmerozubi smrekov pisar Ips amitinus najčešće naseljava smreku u montanskima područjima Središnje Europe. Najvažniji domaćin je obična smreka (Picea abies) i bijeli bor (Pinus sylvestris). U ugodnim vremenskim i trofičnim uvjetima, potkornjak postaje opasan, posebno za mlađa stabla u plantažama. Klimatske promjene, s kojima se suočavamo danas, mogu biti povoljne za vrste koje nisu bile ekonomski važne u prošlosti, a u zadnje vrijeme počinju pričinjavati štete u šumama. Informacije o ekološkim/biološkim obilježjima I. amitinus su u literaturi rijetke, posebice za asocijacije potkornjaka i

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15

Chu, Yu-Ming. "Arcwise Connected Domains, Quasiconformal Mappings, and Quasidisks." Abstract and Applied Analysis 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/419850.

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We prove that a homeomorphismf:R2→R2is a quasiconformal mapping if and only iff(D)is an arcwise connected domain for any arcwise connected domainD⊆R2, andDis a quasidisk if and only if bothDand its exteriorD*=R2∖D¯are arcwise connected domains.

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López-Huertas, María J. "Domain Analysis for Interdisciplinary Knowledge Domains." KNOWLEDGE ORGANIZATION 42, no. 8 (2015): 570–80. http://dx.doi.org/10.5771/0943-7444-2015-8-570.

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Anderson, D. D., J. Coykendall, L. Hill, and M. Zafrullah. "Monoid Domain Constructions of Antimatter Domains." Communications in Algebra 35, no. 10 (2007): 3236–41. http://dx.doi.org/10.1080/00914030701410294.

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Matzen, Sylvia, and Stéphane Fusil. "Domains and domain walls in multiferroics." Comptes Rendus Physique 16, no. 2 (2015): 227–40. http://dx.doi.org/10.1016/j.crhy.2015.01.013.

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Wei, Yikang, and Yahong Han. "Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (2024): 15805–13. http://dx.doi.org/10.1609/aaai.v38i14.29510.

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Federated Domain Generalization aims to learn a domain-invariant model from multiple decentralized source domains for deployment on unseen target domain. Due to privacy concerns, the data from different source domains are kept isolated, which poses challenges in bridging the domain gap. To address this issue, we propose a Multi-source Collaborative Gradient Discrepancy Minimization (MCGDM) method for federated domain generalization. Specifically, we propose intra-domain gradient matching between the original images and augmented images to avoid overfitting the domain-specific information withi

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Matsuura, Toshihiko, and Tatsuya Harada. "Domain Generalization Using a Mixture of Multiple Latent Domains." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11749–56. http://dx.doi.org/10.1609/aaai.v34i07.6846.

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When domains, which represent underlying data distributions, vary during training and testing processes, deep neural networks suffer a drop in their performance. Domain generalization allows improvements in the generalization performance for unseen target domains by using multiple source domains. Conventional methods assume that the domain to which each sample belongs is known in training. However, many datasets, such as those collected via web crawling, contain a mixture of multiple latent domains, in which the domain of each sample is unknown. This paper introduces domain generalization usin

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Meier, Dennis, Nagarajan Valanoor, Qi Zhang, and Donghwa Lee. "Domains and domain walls in ferroic materials." Journal of Applied Physics 129, no. 23 (2021): 230401. http://dx.doi.org/10.1063/5.0057144.

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Bonino, Dario, and Fulvio Corno. "DoMAIns: Domain-based modeling for Ambient Intelligence." Pervasive and Mobile Computing 8, no. 4 (2012): 614–28. http://dx.doi.org/10.1016/j.pmcj.2011.10.009.

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Boysen, H. "Diffuse scattering by domains and domain walls." Phase Transitions 55, no. 1-4 (1995): 1–16. http://dx.doi.org/10.1080/01411599508200422.

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Dentakos, Stella, Wafa Saoud, Rakefet Ackerman, and Maggie E. Toplak. "Does domain matter? Monitoring accuracy across domains." Metacognition and Learning 14, no. 3 (2019): 413–36. http://dx.doi.org/10.1007/s11409-019-09198-4.

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Zhou, Hongyi, Bin Xue, and Yaoqi Zhou. "DDOMAIN: Dividing structures into domains using a normalized domain-domain interaction profile." Protein Science 16, no. 5 (2007): 947–55. http://dx.doi.org/10.1110/ps.062597307.

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Canet-Ferrer, J., L. Martín-Carrón, J. L. Valdés, and J. Martínez-Pastor. "Microscopías de barrido aplicadas al estudio de los dominios y las paredes de dominio en un cristal ferroeléctrico de KNbO₃." Boletín de la Sociedad Española de Cerámica y Vidrio 45, no. 3 (2006): 218–22. http://dx.doi.org/10.3989/cyv.2006.v45.i3.309.

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Sirait, Timoteus Natanael, and Jimmy BP Simangungsong. "ANALISIS YURIDIS PELAKSANAAN TUGAS POKOK PENGELOLA DOMAIN INTERNET INDONESIA." NOMMENSEN JOURNAL OF LEGAL OPINION 1, no. 01 (2020): 52–62. http://dx.doi.org/10.51622/njlo.v1i01.38.

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PANDI (Indonesian Internet Domain Manager) Special authority is given to manage Indonesian domain names on the basis of law and their authority is stipulated in Law No. 23 of 2013 concerning Domain Name Management. PANDI's failure has been considered since the domain dispute between (bmw.co.id) and (bmw.id). There is no synchronization between domian (.co.id and .id) under the authority of PANDI. This research uses descriptive qualitative method.Qualitative method is a research method which in nature provides an explanation using analysis. In practice, this method is subjective in that the res

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Quach, Duy Truong. "Evolution of microscopic domains in Co/Pt multilayers with perpendicular magnetic anisotropy." Hue University Journal of Science: Natural Science 134, no. 1B (2025): 45–49. https://doi.org/10.26459/hueunijns.v134i1b.7720.

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We investigated the domain evolutions of (0.3nm Co/0.8nm Pt)n multilayers (n = 5 and 10) with perpendicular magnetic anisotropy. Our direct observation of magnetic domain structures by means of magneto-optical microscopy reveals that under a negative magnetic field, domain evolution happens via domain wall motion at the domains’ boundaries. However, under a reversed field, the domains react differently depending on their domains’ substructures. While the domains shrink solely at their boundaries when n = 5, the domain wall motion was observed mostly inside the domains’ boundaries when n = 10.

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Sticca., Fabio, Thomas Goetz, Jens Möller, Franz Eberle, Kou Murayama, and Richard Shavelson. "Same same but different: The role of subjective domain similarity in the longitudinal interplay among achievement and self-concept in multiple academic domains." Learning and Individual Differences 102, February 2023 (2023): 102270. https://doi.org/10.5281/zenodo.7914168.

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The present study examined the associations between grades and self-concept within and between four academic domains from an intraindividual perspective. Further, we explored whether students' subjective domain similarity moderated intraindividual between-domain effects of achievement on self-concept and vice versa. A sample of 756 Swiss high-school students reported on their academic self-concept in mathematics, German (native), English, and French on three measurement occasions across high school. Students reported on the subjective domain similarity. School administrators reported stude

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Yadav, Akshay, David Fernández-Baca, and Steven B. Cannon. "Family-Specific Gains and Losses of Protein Domains in the Legume and Grass Plant Families." Evolutionary Bioinformatics 16 (January 2020): 117693432093994. http://dx.doi.org/10.1177/1176934320939943.

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Protein domains can be regarded as sections of protein sequences capable of folding independently and performing specific functions. In addition to amino-acid level changes, protein sequences can also evolve through domain shuffling events such as domain insertion, deletion, or duplication. The evolution of protein domains can be studied by tracking domain changes in a selected set of species with known phylogenetic relationships. Here, we conduct such an analysis by defining domains as “features” or “descriptors,” and considering the species (target + outgroup) as instances or data-points in

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Sampathirao Suneetha, Et al. "Cross-Domain Aspect Extraction using Adversarial Domain Adaptation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11s (2023): 672–82. http://dx.doi.org/10.17762/ijritcc.v11i11s.9658.

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Aspect extraction, the task of identifying and categorizing aspects or features in text, plays a crucial role in sentiment analysis. However, aspect extraction models often struggle to generalize well across different domains due to domain-specific language patterns and variations. In order to tackle this challenge, we propose an approach called "Cross-Domain Aspect Extraction using Adversarial-Based Domain Adaptation". Our model combines the power of pre-trained language models, such as BERT, with adversarial training techniques to enable effective aspect extraction in diverse domains. The mo

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Wang, Minghui, Yuhang Chen, and Lei Xiao. "Multisource partial domain adaptation for bearing fault diagnosis." Journal of Physics: Conference Series 2853, no. 1 (2024): 012067. http://dx.doi.org/10.1088/1742-6596/2853/1/012067.

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Abstract Domain adaptation has been widely used in fault diagnosis and dealt with data distribution discrepancies, but the labels in source and target domains are usually assumed to be identical. The complexity of the working conditions, in reality, leads to the fact that the labels in target domains are often a subset of the labels in source domains. This special case is called the partial domain problem. However, most of the existing proposed methods for solving partial domain problems are limited to single-source-domain scenarios and fail to effectively integrate multisource knowledge. Henc

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Yu, Xu, Jun-yu Lin, Feng Jiang, Jun-wei Du, and Ji-zhong Han. "A Cross-Domain Collaborative Filtering Algorithm Based on Feature Construction and Locally Weighted Linear Regression." Computational Intelligence and Neuroscience 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/1425365.

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Cross-domain collaborative filtering (CDCF) solves the sparsity problem by transferring rating knowledge from auxiliary domains. Obviously, different auxiliary domains have different importance to the target domain. However, previous works cannot evaluate effectively the significance of different auxiliary domains. To overcome this drawback, we propose a cross-domain collaborative filtering algorithm based on Feature Construction and Locally Weighted Linear Regression (FCLWLR). We first construct features in different domains and use these features to represent different auxiliary domains. Thu

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Bhaskara, Ramachandra M., Alexandre G. de Brevern, and Narayanaswamy Srinivasan. "Understanding the role of domain–domain linkers in the spatial orientation of domains in multi-domain proteins." Journal of Biomolecular Structure and Dynamics 31, no. 12 (2013): 1467–80. http://dx.doi.org/10.1080/07391102.2012.743438.

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Cheng, Yanan, Hao Jiang, Zhaoxin Zhang, Yuejin Du, and Tingting Chai. "Birds of a Feather Flock Together: Generating Pornographic and Gambling Domain Names Based on Character Composition Similarity." Wireless Communications and Mobile Computing 2022 (July 11, 2022): 1–17. http://dx.doi.org/10.1155/2022/4408987.

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Cybercriminals often register many pornographic or gambling domains (known as abusive domains) with similar character compositions in bulk to reduce their investment in buying domains and make it easier for clients to remember and spread them. Therefore, this study combines the ideas of text similarity and text generation and proposes an abusive domain generation model based on GRU for rapidly generating new abusive domain names from known ones. Additionally, we develop a two-layer detection system for pornography and gambling domains using fastText and CNN models to obtain an abusive domain d

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Cai, Yiqing, Lianggangxu Chen, Haoyue Guan, et al. "Explicit Invariant Feature Induced Cross-Domain Crowd Counting." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 259–67. http://dx.doi.org/10.1609/aaai.v37i1.25098.

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Cross-domain crowd counting has shown progressively improved performance. However, most methods fail to explicitly consider the transferability of different features between source and target domains. In this paper, we propose an innovative explicit Invariant Feature induced Cross-domain Knowledge Transformation framework to address the inconsistent domain-invariant features of different domains. The main idea is to explicitly extract domain-invariant features from both source and target domains, which builds a bridge to transfer more rich knowledge between two domains. The framework consists

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Hu, Xuming, Zhaochen Hong, Yong Jiang, et al. "Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 16 (2024): 18261–69. http://dx.doi.org/10.1609/aaai.v38i16.29785.

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Cross-domain named entity recognition (NER) tasks encourage NER models to transfer knowledge from data-rich source domains to sparsely labeled target domains. Previous works adopt the paradigms of pre-training on the source domain followed by fine-tuning on the target domain. However, these works ignore that general labeled NER source domain data can be easily retrieved in the real world, and soliciting more source domains could bring more benefits. Unfortunately, previous paradigms cannot efficiently transfer knowledge from multiple source domains. In this work, to transfer multiple source do

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Cossu, Laura, and Paolo Zanardo. "PRINC domains and comaximal factorization domains." Journal of Algebra and Its Applications 19, no. 08 (2019): 2050156. http://dx.doi.org/10.1142/s021949882050156x.

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The notion of a PRINC domain was introduced by Salce and Zanardo [Products of elementary and idempotent matrices over integral domains, Linear Algebra Appl. 452 (2014) 130–152], motivated by the investigation of the products of idempotent matrices with entries in a commutative domain. An integral domain [Formula: see text] is a PRINC domain if every two-generated invertible ideal of [Formula: see text] is principal. PRINC domains are closely related to the notion of a unique comaximal factorization domain, introduced by McAdam and Swan [Unique comaximal factorization, J. Algebra 276 (2004) 180

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Nandula, Anuradha, and Panuganti Vijayapal Reddy. "Exploring RoBERTa model for cross-domain suggestion detection in online reviews." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 3 (2024): 1637. http://dx.doi.org/10.11591/ijeecs.v35.i3.pp1637-1644.

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Detecting suggestions in online review requires contextual understanding of review text, which is an important real-world application of natural language processing. Given the disparate text domains found in product reviews, a common strategy involves fine-tuning bidirectional encoder representations from transformers (BERT) models using reviews from various domains. However, there hasn't been an empirical examination of how BERT models behave across different domains in tasks related to detecting suggestion sentences from online reviews. In this study, we explore BERT models for suggestion cl

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Anuradha, Nandula Panuganti Vijayapal Reddy. "Exploring RoBERTa model for cross-domain suggestion detection in online reviews." Indonesian Journal of Electrical Engineering and Computer Science 35, no. 3 (2024): 1637–44. https://doi.org/10.11591/ijeecs.v35.i3.pp1637-1644.

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Detecting suggestions in online review requires contextual understanding of review text, which is an important real-world application of natural language processing. Given the disparate text domains found in product reviews, a common strategy involves fine-tuning bidirectional encoder representations from transformers (BERT) models using reviews from various domains. However, there hasn't been an empirical examination of how BERT models behave across different domains in tasks related to detecting suggestion sentences from online reviews. In this study, we explore BERT models for suggestion cl

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Lu, Yuwu, Xue Hu, Waikeung Wong, and Haoyu Huang. "Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 18 (2025): 19170–79. https://doi.org/10.1609/aaai.v39i18.34110.

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Blended-target domain adaptation (BTDA) leverages learned source knowledge to adapt the model to a blended-target domain that is composed of multiple unlabeled sub-target domains with distinct statistical characteristics. The existing BTDA methods usually overlook semantic correlation information across multiple domains and domain shifts among sub-target domains, resulting in suboptimal adaptation performance. To fully harness semantic knowledge and alleviate domain shifts in hybrid data distribution, we propose a collaborative semantic consistency alignment (CSCA) method for BTDA. Specificall

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Aoyagi, Kenta, Takanori Kiguchi, Yoshitaka Ehara, Hiroshi Funakubo, and Toyohiko J. Konno. "TEM Observation on Ferroelectric Domain Structures of PbTiO₃ Epitaxial Films." Key Engineering Materials 485 (July 2011): 179–82. http://dx.doi.org/10.4028/www.scientific.net/kem.485.179.

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The ferroelectric domain structure of PbTiO3(PTO) films was investigated by using transmission electron microscopy (TEM). In the film with PTO/SrTiO3(STO) structure, 180º domains are formed near the SrTiO3(STO) substrate and the domain length of 180º domains is 100 nm. However, 180º domains are not formed in the film with Pt/PTO/SrRuO3(SRO)/STO structure. These results show that 180º domains are formed in order to minimize depolarizing field energy, and that the domain length of 180º domains is determined by the competition among the depolarizing field energy, domain wall energy, Coulomb inter

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Xie, Haonan, Hao Luo, Jianyang Gu, and Wei Jiang. "Unsupervised Domain Adaptive Person Re-Identification via Intermediate Domains." Applied Sciences 12, no. 14 (2022): 6990. http://dx.doi.org/10.3390/app12146990.

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Recent years have witnessed outstanding success in supervised domain adaptive person re-identification (ReID). However, the model often suffers serious performance drops when transferring to another domain in real-world applications. To address the domain gap situations, many unsupervised domain adaptive (UDA) methods have been proposed to adapt the model trained on the source domain to a target domain. Such methods are typically based on clustering algorithms to generate pseudo labels. Noisy labels, which often exist due to the instability of clustering algorithms, will substantially affect t

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Choi, Jongwon, Youngjoon Choi, Jihoon Kim, et al. "Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 10655–62. http://dx.doi.org/10.1609/aaai.v34i07.6692.

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We describe an unsupervised domain adaptation framework for images by a transform to an abstract intermediate domain and ensemble classifiers seeking a consensus. The intermediate domain can be thought as a latent domain where both the source and target domains can be transferred easily. The proposed framework aligns both domains to the intermediate domain, which greatly improves the adaptation performance when the source and target domains are notably dissimilar. In addition, we propose an ensemble model trained by confusing multiple classifiers and letting them make a consensus alternately t

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Lee, Dong Hyun, Younghwan Lee, Kun Yang, et al. "Domains and domain dynamics in fluorite-structured ferroelectrics." Applied Physics Reviews 8, no. 2 (2021): 021312. http://dx.doi.org/10.1063/5.0047977.

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Kumar, Rahul, and Atul Gaur. "Maximal non valuation domains in an integral domain." Czechoslovak Mathematical Journal 70, no. 4 (2020): 1019–32. http://dx.doi.org/10.21136/cmj.2020.0098-19.

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Gregory, Peter, and Alan Lindsay. "Domain Model Acquisition in Domains with Action Costs." Proceedings of the International Conference on Automated Planning and Scheduling 26 (March 30, 2016): 149–57. http://dx.doi.org/10.1609/icaps.v26i1.13762.

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This paper addresses the challenge of automated numeric domain model acquisition from observations. Many industrial and commercial applications of planning technology rely on numeric planning models. For example, in the area of autonomous systems and robotics, an autonomous robot often has to reason about its position in space, power levels and storage capacities. It is essential for these models to be easy to construct. Ideally, they should be automatically constructed. Learning the structure of planning domains from observations of action traces has produced successful results in classical p

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Liu, Yanshun, and David Eisenberg. "3D domain swapping: As domains continue to swap." Protein Science 11, no. 6 (2002): 1285–99. http://dx.doi.org/10.1110/ps.0201402.

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Mancini, Massimiliano, Lorenzo Porzi, Samuel Rota Bulo, Barbara Caputo, and Elisa Ricci. "Inferring Latent Domains for Unsupervised Deep Domain Adaptation." IEEE Transactions on Pattern Analysis and Machine Intelligence 43, no. 2 (2021): 485–98. http://dx.doi.org/10.1109/tpami.2019.2933829.

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Eng, Lukas M. "Nanoscale domain engineering and characterization of ferroelectric domains." Nanotechnology 10, no. 4 (1999): 405–11. http://dx.doi.org/10.1088/0957-4484/10/4/308.

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