A novel unsupervised fine-tuning method for text summarization, and highlighting the limitations of ROUGE score by Ala Alam Falaki, Robin Gras

“…Moreover, since summarization produces text output, effective methods developed for news articles can be applied to other domains lacking sufficient labeled data. This study introduces a novel target selection process to be used as an unsupervised learning method for fine-tuning text summarization models with unlabeled data. …”
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Gene expression profiles identify key factors in inflammatory odontoblastic dental pulp stem cell differentiation via TNFα/C5L2 by Muhammad Irfan, Ji Hyun Kim, Sreelekshmi Sreekumar, Seung Chung

“…Understanding how inflammatory responses influence DPSCs is essential for elucidating the mechanisms underlying dentin and pulp regeneration.MethodsGiven the limited data on this process, a broad approach is employed here to understand better the complex mechanisms involved and identify downstream signaling targets. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…To address this, our research introduces the synthetic data generation for “enhanced shrimp detection using integrated augmentation (ESDIA)” approach to detect shrimps. …”
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Clinical concept annotation with contextual word embedding in active transfer learning environment by Asim Abbas, Mark Lee, Niloofer Shanavas, Venelin Kovatchev

“…Methods Initially labeled data are acquired from a lexical-based approach in sufficient amounts to perform an active learning process. …”
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Modelling mangrove social-ecological systems – a review by Md Monzer Hossain Sarker, Animesh K Gain, Carlo Giupponi

“…Challenges, however, remain, including the need for high-resolution spatial and temporal data, improved modelling of complex feedback mechanisms between ecological and social components, and more effective integration of local stakeholder knowledge and perspectives into model design and decision-making processes. …”
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Methodological Issues of Qualitative Research on End-of-Life Care Among Older Korean Immigrants in the United States by Hyeyoung K. Park, Cristina C. Hendrix, Sharron L. Docherty, Kimberly S. Johnson, Ruth A. Anderson

“…Finally, participant feedback led to important revisions, reinforcing the value of involving participants throughout the research process. Engaging them early and reflecting on challenges afterward can improve study design and data quality. …”
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Risk factors as glaucoma predictors in myopic students by M. A. Kovalevskaya, V. B. Antonyan, E. V. Muntianova, M. V. Zueva

“…Purpose: identification of early risk factors — predictors of POAG development in students with myopic refraction based on questionnaire and functional test data and the effects of fractal photostimulation (FS). …”
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Genome assembly of indigenous Gaddi dog by C S MUKHOPADHYAY, KANWALJIT RANA

“…The Q30 of the processed data ranged from 90.5% to 93.3% and %GC from 40.1% to 41.5%. …”
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Enhanced vehicle localization with low-cost sensor fusion for urban 3D mapping. by Sheraz Shamim, Syed Riaz Un Nabi Jafri

“…The MMS is comprised of economical Hokuyo-30LX 2D laser scanners, vision sensors, Global Positioning System (GPS) and various odometric sensors that can be installed on car like moving platform. The run time sensorial data is interfaced, processed and recorded using Robot Operating System (ROS). …”
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Clustering, Pathway Enrichment, and Protein-Protein Interaction Analysis of Gene Expression in Neurodevelopmental Disorders by Ruchi Yadav, Prachi Srivastava

“…We have used MeV application to cluster the raw data using distance metric Pearson correlation coefficient. …”
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Modern Aspects of Use of Pirenoxine Eye Drops for the Treatment and Prevention of Cataracts in the Practice of an Ophthalmologist by I. A. Dobromyslov

“…The data about the positive influence of Catalin® on the processes that are different from age-related cataract like the ability to slow down the development of presbyopia, reducing the frequency and severity of complications after cataract phacoemulsification and after vitrectomy is being discussed within the article. …”
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PSVM: A Global Database for the Miocene Indicating Elevated Paleosecular Variation Relative to the Last 10 Myrs by Y. A. Engbers, R. K. Bono, A. J. Biggin

“…We also present a new stochastic model of the time‐average field, BB‐M22, using a covariant giant Gaussian process (GGP) which is constrained using data from PSVM, PINT and Earth‐like geodynamo numerical simulations. …”
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Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…Harvested public data was normalized, encoded, and pre-processed class balances using SMOTE. …”
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PERILAKU DAN LOYALITAS KONSUMEN MADU DI KOTA BENGKULU by Selmi Selmi, Putri Suci Asriani, Rustama Saepuddin

“…The number of respondents in this study was 96. The data collected in this research were primary and secondary data that being collected to obtain the study aims to analysis of consumer behavior is processed using Importance Performance Analysis (IPA), and analysis of loyalty consumer using the Customer Satisfaction Index (CSI). …”
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Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening by Bo Wang, Muhammad Junaid, Wenjin Li

“…Taking cGAS and kRAS proteins as examples, through rigorous data screening and feature extraction, the study constructed multiple supervised learning models containing traditional machine learning models, and deep learning models like graph convolutional networks. …”
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Public participatory GIS in community-based disaster risk reduction by Randall B. Kemp

“…GIS can produce simple maps as well as complicated analysis based on several data sources (or layers). Like standard participatory research methods, PPGIS incorporates end users, research subjects, and researchers into a collaborative environment where GIS are structured under the guidance of both the expert and the novice. …”
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A Miniaturized Screen of a Schistosoma mansoni Serotonergic G Protein-Coupled Receptor Identifies Novel Classes of Parasite-Selective Inhibitors. by John D Chan, John D McCorvy, Sreemoyee Acharya, Malcolm E Johns, Timothy A Day, Bryan L Roth, Jonathan S Marchant

“…Remarkably, even though over a quarter of current human therapeutics target rhodopsin-like G protein coupled receptors (GPCRs), no library screen of a flatworm GPCR has yet been reported. …”
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Tetranucleotide frequencies differentiate genomic boundaries and metabolic strategies across environmental microbiomes by Matthew Kellom, Maureen Berg, I-Min A. Chen, Ken Chu, Alicia Clum, Marcel Huntemann, Natalia N. Ivanova, Nikos C. Kyrpides, Supratim Mukherjee, T. B. K. Reddy, Simon Roux, Rekha Seshadri, Gitta Szabo, Neha J. Varghese, Tanja Woyke, Emiley A. Eloe-Fadrosh

“…We plan for annual updates to the metagenome stability diagram in IMG/M with new data, allowing for refinement of the ecosystem classifications delineated here. …”
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Hunting for ALPs with lepton flavor violation by Claudia Cornella, Paride Paradisi, Olcyr Sumensari

“…Abstract We examine the low-energy signatures of axion-like particles (ALPs) in lep- ton flavor violating (LFV) processes. …”
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PrionHome: a database of prions and other sequences relevant to prion phenomena. by Djamel Harbi, Marimuthu Parthiban, Deena M A Gendoo, Sepehr Ehsani, Manish Kumar, Gerold Schmitt-Ulms, Ramanathan Sowdhamini, Paul M Harrison

“…The data was then processed according to a transparent classification system of prionogenic sequences (i.e., sequences that can make prions), prionoids (i.e., proteins that propagate like prions between individual cells), and other prion-related phenomena. …”
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