Results 81 to 90 of about 3,445,897 (351)

Multi-Transformer-Based Ensemble Embedding Model for Enhanced Vector Search in NoSQL Database: A Comparative Statistical and Performance Analysis [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Transformer-based embedding models are widely used for similarity search as they are reliable and efficient for capturing semantic similarity. This study uses all-MiniLM-L6-v2, paraphrase-MiniLM-L6-v2 and all-distilroberta-v1 transformer-based embedding ...
Narut Butploy, Kanokwan Khiewwan, Jaturong Thongchai , Sawet Somnugpong , Pakin Maneechot, Phrommate Verapan , Khumphicha Tantisantisom , Karthikeyan Velmurugan   +7 more
doaj   +1 more source

Flexible and Efficient Multi-Keyword Ranked Searchable Attribute-Based Encryption Schemes

Cryptography, 2023
Currently, cloud computing has become increasingly popular and thus, many people and institutions choose to put their data into the cloud instead of local environments. Given the massive amount of data and the fidelity of cloud servers, adequate security
Je-Kuan Lin, Wun-Ting Lin, Ja-Ling Wu
doaj   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

Single‐Nucleus Multi‐Omics Reveals Hypoxia‐Driven Angiogenic Programs and Their Epigenetic Control in Sinonasal Squamous Cell Carcinoma

Advanced Science, EarlyView.
Single‐nucleus multi‐omics profiling of sinonasal squamous cell carcinoma unveils a hypoxia‐driven angiogenic axis. A specific hypoxic tumor subpopulation orchestrates endothelial tip cell differentiation via epigenetically regulated ADM and VEGFA secretion.
Chaelin You, Jaewoo Park, Jung Yeon Jang, Junho Noh, Jaehyun Lee, Geunho Kwon, Myeong Sang Yu, Yoo‐Sam Chung, Seung‐Jun Lee, Keunsoo Kang, Jihwan Park, Ji Heui Kim, Kyuho Kang   +12 more
wiley   +1 more source

Semantic industrial categorisation based on search engine index [PDF]

, 2009
Analysis of specialist language is one of the most pressing problems when trying to build intelligent content analysis system. Identifying the scope of the language used and then understanding the relationships between the language entities is a key ...
Bal, Jay, Ma, Xiao
core  

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

Advanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park, Sumin Kim, Jiwon Kim, Dongjoo Lee, Sungwoo Bae, Haenara Shin, Daeseung Lee, Hongyoon Choi   +7 more
wiley   +1 more source

A platform for semantic web studies [PDF]

, 2010
The Semantic Web can be seen as a large, heterogeneous network of ontologies and semantic documents. Characterizing these ontologies, the way they relate and the way they are organized can help in better understanding how knowledge is produced and ...
Allocca, Carlo, d'Aquin, Mathieu, Motta, Enrico   +2 more
core  

Cognitive load and semantic analogies: Searching semantic space [PDF]

Psychonomic Bulletin & Review, 2010
The aim of the present study is to investigate the performance of children of different ages on an analogy-making task involving semantic analogies in which there are competing semantic matches. We suggest that this can best be studied in terms of developmental changes in executive functioning.
Jean-Pierre, Thibaut, Robert, French, Milena, Vezneva   +2 more
openaire   +2 more sources

Effective semantic search using thematic similarity

Journal of King Saud University: Computer and Information Sciences, 2014
Most existing semantic search systems expand search keywords using domain ontology to deal with semantic heterogeneity. They focus on matching the semantic similarity of individual keywords in a multiple-keywords query; however, they ignore the semantic ...
Sharifullah Khan, Jibran Mustafa
doaj   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source