Results 121 to 130 of about 2,841,275 (318)

Potent and Long‐Lasting Immunogenicity Generated by LNP‐mRNA gE Antigen Against Varicella Zoster Virus via an AI‐Assisted Pipeline

open access: yesAdvanced Science, EarlyView.
This study designs a novel mRNA‐LNP vaccine targeting VZV glycoprotein E (gE) for herpes zoster via an AI‐assisted pipeline. Validated in mice and rhesus macaques, the mRNA‐LNP vaccine shows strong humoral and cellular immune responses, with CD4+ T‐cell responses more effective and durable than Shingrix, offering a promising prophylactic option ...
Kai Dong   +6 more
wiley   +1 more source

Linking Inca Terraces with Landslide Occurrence in the Ticsani Valley, Peru

open access: yesGeosciences
Since the times of the Incas, farmers in the remote Andes of Peru have constructed terraces to grow crops in a landscape characterized by steep slopes, semiarid climate, and landslide geohazards.
Gonzalo Ronda   +4 more
doaj   +1 more source

Soft sediment deformation in Confusion Gulch [PDF]

open access: yes, 1967
Confusion Gulch is located in Sanpete County, Utah, near the town of Ephraim, on the east face of the Gunnison Plateau. The rocks exposed in this area range in age from Jurassic to Eocene, and are represented by the Twist Gulch, Indianola, North Horn ...
Hiatt, John L.
core  

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

Decision Tree for Determining Hospital Treatment for Covid-19 Patients Based on Hematology Parameters Using the C5.0 Algorithm

open access: yesJISA (Jurnal Informatika dan Sains)
The rapid spread of the COVID-19 disease which occurred globally throughout the world some time ago, requires early detection of COVID-19 which is very important for patients and also the people around them to be able to fight the COVID-19 pandemic ...
Joko Riyono   +4 more
doaj   +1 more source

Statistical Data Mining Methods in Predicting Happiness and Habits [PDF]

open access: yesITM Web of Conferences
The objective of this study is to employ statistical data mining methods and con-duct a survey among young individuals to construct a model capable of forecasting overall happiness.
Sulaiman Sazan Kamal   +3 more
doaj   +1 more source

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

open access: yesAdvanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao   +5 more
wiley   +1 more source

Performance Analysis of Artificial Intelligence Models for Classification of Transmission Line Losses

open access: yesEnergies
Conventional approaches to analyzing power losses in electrical transmission networks have largely emphasized generic power loss minimization through the integration of loss-reducing devices such as shunt capacitors. However, achieving optimal power loss
Abraham O. Amole   +5 more
doaj   +1 more source

Confusion-Based Online Learning and a Passive-Aggressive Scheme

open access: yes, 2012
International audienceThis paper provides the first ---to the best of our knowledge--- analysis of online learning algorithms for multiclass problems when the {\em confusion} matrix is taken as a performance measure.
Ralaivola, Liva
core   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

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