Results 61 to 70 of about 9,795,875 (280)

Bilingual hate speech detection on social media: Amharic and Afaan Oromo

Journal of Big Data
Due to significant increases in internet penetration and the development of smartphone technology during the preceding couple of decades, many people have started using social media as a communication platform.
Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh   +2 more
doaj   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

A Review on Speech Recognition for Under-Resourced Languages

International Journal of Knowledge and Systems Science, 2023
Fundamental speech recognition technologies for high-resourced languages are currently successful to build high-quality applications with the use of deep learning models. However, the problem of “borrowing” these speech recognition technologies for under-resourced languages like Vietnamese still has challenges. This study reviews fundamental studies on
Trung-Nghia Phung, Duc Binh Nguyen, Ngoc-Phuong Pham   +2 more
openaire   +2 more sources

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Dual-BERT adversarial learning for Hausa user-generated text normalization

Frontiers in Artificial Intelligence
Text normalization (TN) is a crucial preprocessing task in Natural Language Processing (NLP) that enables the conversion of noisy, informal texts into standardized forms suitable for downstream applications, such as machine translation, speech ...
Sulaimon Adebayo Bashir, Abubakar Ahmad Aliero, Amina Gogo Tafida, Mukhtar Ibrahim Hussaini, Nur Syadhila Che Lah, Maged Nasser, Yunusa Adamu Bena   +6 more
doaj   +1 more source

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

Molecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen, Zhi Zhao, Henrik Horndalsveen, Maria Moksnes Bjaanæs, Bjørn Henning Grønberg, Tarje Halvorsen, Tesfaye Madebo, Marianne Aanerud, Jussi Koivunen, Kersti Oselin, Saulius Cicenas, Nina Helbekkmo, Jarkko Ahvonen, Maria Silvoniemi, Tine Norman Alver, Tonje Dalen, Åsa Kristina Öjlert, Saima Jamil Farooqi, Åslaug Helland, Vilde Drageset Haakensen   +19 more
wiley   +1 more source

Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla—A Low Resourced Language

Informatics, 2019
Semantic similarity is a long-standing problem in natural language processing (NLP). It is a topic of great interest as its understanding can provide a look into how human beings comprehend meaning and make associations between words.
Rajat Pandit, Saptarshi Sengupta, Sudip Kumar Naskar, Niladri Sekhar Dash, Mohini Mohan Sardar   +4 more
doaj   +1 more source

Crawl and crowd to bring machine translation to under-resourced languages [PDF]

Language Resources and Evaluation, 2016
We present a widely applicable methodology to bring machine translation (MT) to under- resourced languages in a cost-effective and rapid manner. Our proposal relies on web crawling to automatically acquire parallel data to train statistical MT systems if any such data can be found for the language pair and domain of interest.
Antonio Toral, Miquel Esplà-Gomis, Filip Klubicka, Nikola Ljubesic, Vassilis Papavassiliou, Prokopis Prokopidis, Raphael Rubino, Andy Way   +7 more
openaire   +3 more sources

Cross-Lingual Link Discovery for Under-Resourced Languages [Elektronisk resurs]

, 2022
In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages.
Bosque-Gil, Julia,, Ahmadi, Sina,, Serasset, Gilles,, Gracia, Jorge,, Truica, Ciprian-Octavian,, Liebeskind, Chaya,, Oleskeviene, Giedre Valunaite,, Dojchinovski, Milan,, Apostol, Elena-Simona,, Gkirtzou, Katerina,, Gromann, Dagmar,, Rosner, Michael,, Chiarcos, Christian,   +12 more
core  

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 more
wiley   +1 more source