Results 231 to 240 of about 280,795 (304)

Reexamining Korea's successful forest restoration through the revised PDCA framework. [PDF]

Environ Manage
Park H, Han H, Kim D, Kim S.
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Myofibre Density Reveals a Critical Threshold Around Age 6 in Steroid-Naïve Duchenne Muscular Dystrophy: A Retrospective Observational Study. [PDF]

Neuropathol Appl Neurobiol
Yamakado T, Ishikawa Y, Ise K, Wang L, Oda Y, Tsuda M, Kimura T, Nagao M, Ito M, Tanaka S, Tanei ZI.   +10 more
europepmc   +1 more source

Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage

Advanced Intelligent Discovery, EarlyView.
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen, Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Thi Hong Nhung Vu, Sung Ha Park   +5 more
wiley   +1 more source

Occupational hazard exposures among archivists. [PDF]

Front Public Health
Dou M, Wang X, Li Y, Song J, Gong A.
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Forensic DNA Recovery from FFPE Tissue Using the Maxwell^® RSC Xcelerate Kit: Optimization, Challenges, and Limitations. [PDF]

Genes (Basel)
Lisman D, Ossowski A, Tołoczko-Grabarek A, Kozłowski M, Cymbaluk-Płoska A.   +4 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Barriers to implementing AI in pediatric cancer imaging. [PDF]

Cancer Imaging
Gupta A, Towbin AJ.
europepmc   +1 more source