144 results for “HAT”

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Research ArticleOpen accessEvery word in the titleDetection of DNA Hypomethylation Mediated Floral Induction in Longan and Spinach Using the HAT-RAPD TechniqueS. Anuntalabhochai, R. Chundet, N. Buapong, R. W. CutlerIn this study, the HAT-RAPD technique was used to detect DNA methylation in the four plant species, rice (Oryza sativa), petunia (Petunia hybrida), spinach (Spinacea oleracea L.) and longan (Dimocarpus longan Lour.), which were treated using 5-azacytidine, potassium chlorate (KClO3) and a low temperature induction. Rice and petunia were chosen to be induced because in these species it is known … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 6,977 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleA Semiotic Analysis of Anti-LGBTQ + Politically Motivated Hate SpeechPaul James PopeHate speech is speech that targets vulnerable minority people and groups, intended to denigrate their identity. Although hate speech has persisted for generations, its use against LGBTQ+ citizens has increased significantly since the 2016 U.S. presidential election. Hate speech is distinct from other critical rhetoric as it is both socially and politically motivated speech meant to marginalize and/or promote discrimination … …Journal of Social Sciences, Vol. 22, Issue 1 · 20 Apr 2026 · 1,842 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleScalable and Advanced Framework for Hate Speech Detection on Social Media Using BERT and GPT-2 through Encoder and Decoder ArchitecturesUsman, Nabeela Hasan, Syed Mohammad Khurshid QuadriHate speech is a major problem on social media platforms. Every day, numerous instances of hateful behavior based on race, ethnicity, religion, or gender are witnessed on social media. Most of the leading social media platforms like Instagram, Facebook, Twitter Reddit, etc., have strong community guidelines that condemn and restrict the exchange of hateful language/content in any form. Despite the … …Journal of Computer Science, Vol. 21, Issue 3 · 7 Feb 2025 · 7,325 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEthioLSocMDMTLM: Exploring Application of Topic Modeling for Building Ethiopian Language Social Media Data-Based Multilingual Transformer Language Models for Multilingual Hateful Content DetectionNaol Bakala Defersha, Kula Kekeba Tune, Solomon Teferra AbateThis study proposes topic modeling techniques to develop Ethiopian Language Social Media Data Based Multilingual Transformer Language Models for multilingual hateful content detection. We modified various multilingual pretrained models, investigated the challenges of using pre-trained transformer language models, and built multilingual hateful content detection models. Topic words with rows of 1561, 70, and 1044 extracted from Afaan Oromo, Tigrigna, and … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 5,204 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEffect of High Incubation Temperature on Embryo Livability, Mortality, Hatchability, and Chick Quality in Commercial LayersKhathutshelo Simon Masia, Khathutshelo Agree Nephawe et al.This research was conducted to determine the effect of high incubation temperature profiles on embryo livability, mortality, hatchability, and chick quality in commercial layers. Incubation temperature profiles were: Control (day 0-4: 37.8°C, day 5-9: 37.2°C, day 10-11: 37.0°C, day 12-13: 36.8°C), moderately high (day 0-4: 38.5°C, day 5-9: 38.2°C, day 10-11: 37.5°C, day 12-13: 37.0°C) and extremely high (day 0-4: … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 19 Nov 2024 · 5,213 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titlePrompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Faisal, Zefanya Delvin Sulistiya, Tora Sangputra Yopie WinartoThe increasing amount of content on social media content makes the use of automatic moderation crucial for preserving a healthy online community and reducing the spread of offensive and abusive content, such as hate speech based on gender. Developing automated social media moderation using machine learning demands a large and balanced dataset. However, difficulties such as data scarcity and class … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,881 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleExploring Data Augmentation for Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Samsul Arifin, Eko Setyo PurwantoSocial media moderation is a crucial component to establish healthy online communities and ensuring online safety from hate speech and offensive language. In many cases, hate speech may be targeted at specific gender which could be expressed in many different languages on social media platforms such as Indonesian Twitter. However, difficulties such as data scarcity and the imbalanced gender-based hate … …Journal of Computer Science, Vol. 19, Issue 10 · 29 Sep 2023 · 5,550 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleThe Relationship Between Egg Weight of Olive Ridley Sea Turtle (Lepidochelys Olivacea) on Hatchability using “Maticgator” (Automatic Turtle Egg Incubator)Sukandar Sukandar, Sunardi, Vian Dedi Pratama, Zaenal AbidinSea turtles are reptile animals that live primarily in oceans but migrate to sandy beaches to produce and lay eggs in large quantities. However, the hundreds of eggs produced, only a dozen hatch and return to the sea. Also, factors of climate change and global warming have an impact on decreasing the wild sea turtle population, where female turtles are … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 2 · 7 Jun 2022 · 6,660 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titlePrevalence and Inhibition of Microbial Load on Chicken Eggs with Special References to Egg Quality and HatchabilityJehan Ismail Ibrahim, H. Dalia Mansour, Hosny Abdellatief AbdelrahmanA total of 304 random chicken egg samples obtained from layers of Balady and Battery systems. 144 of chicken Balady and Battery eggs (72 of each sample were divided into 18 batches) were used for bacteriological evaluation. Enterobactriacae (94.4, 33.3 and 27.7%), Salmonella (77, 29 and 22%), E.coli (44, 0 and 22%) and Staphylococcus aureus (100, 97 and 98%) were … …American Journal of Animal and Veterinary Sciences, Vol. 9, Issue 4 · 26 Dec 2014 · 7,847 accessesView PDF Cite