Results 101 to 110 of about 10,364,489 (286)

The artistic and technical aspects of the shadow puppet art and its impact in the animation films

open access: yesJournal of Architecture, Art & Humanistic Science, 2018
The research shows shadow puppetry types and forms and characteristics which distinguish them, shadow puppetry associated with legends and epics When the cinema invented and widely known shadow puppetry began to fade, shadow puppetry enriches human ...
Neveen Farghaly   +2 more
doaj   +1 more source

The Potential of Self‐Maintainable Living Materials

open access: yesAdvanced Science, EarlyView.
Self‐maintainable living materials are presented as the next generation of bioadaptive systems, integrating continuous sensing, decision‐making, response, self‐repair, and adaptation in a closed‐loop framework. This review highlights the design principles and emerging technologies that enable autonomous, long‐term functionality for future regenerative ...
Mohammadsadegh Nadimifar   +4 more
wiley   +1 more source

AI-driven Linear Diophantine Fuzzy evaluation for advancing quality and innovation in physical education

open access: yesScientific Reports
Physical education (PE) assessment has historically focused on quantitative performance metrics, systematically neglecting motivational, emotional, and social dimensions of student development. To address this gap, this paper introduces a Multi-Attribute
Li Liang, Bo Qi, Jinyu Zuo
doaj   +1 more source

Fc‐Dependent Targeting of the GAS6–MERTK Axis With Monoclonal and Bispecific Antibodies Overcomes Drug Resistance Across EGFR Mutations in Exons 19, 20, and 21

open access: yesAdvanced Science, EarlyView.
EGFR mutations drive a substantial fraction of non‐small cell lung cancers (NSCLC) and are effectively targeted by tyrosine kinase inhibitors (TKIs), including osimertinib. However, resistance inevitably develops through secondary mutations and compensatory receptor activation, including the GAS6 receptor MERTK.
Suvendu Giri   +28 more
wiley   +1 more source

An Explainable Multimodal Deep‐Learning Model Using Histopathological Image and Clinical Information for Prognosis Prediction in Colorectal Cancer: A Multi‐Center Cohort Study

open access: yesAdvanced Science, EarlyView.
This study develops a multimodal deep‐learning model that integrates clinical variables and histopathological images to predict survival outcomes in colorectal cancer. The multimodal model effectively stratifies patients into low‐ and high‐risk groups, demonstrating superior accuracy and generalizability across multiple independent cohorts.
Zhihan Jiang   +12 more
wiley   +1 more source

Impact of animation and language on banner click-through rates [PDF]

open access: yes, 2012
This field experiment tested the impact of animation and language on the click-through rate (CTR) of banner advertisements across two website types. Animation results of over one million banner impressions were inconsistent for social networking and ...
Olaru, D.   +5 more
core  

Simulation with Animation

open access: yes, 1990
Computer animation design and creation with dynamic graphical displays and underlying logical, mathematical & statistical models for manufacturing and business ...
Li, Shuliang
core   +2 more sources

Polymer Concepts in Cellular Function

open access: yes
Advanced Science, EarlyView.
Miao Yu   +7 more
wiley   +1 more source

Steps Toward Vitrification and Banking of Coral Larvae Using Field‐Friendly Cryomesh Technology

open access: yesAdvanced Science, EarlyView.
Cryomesh enables a low‐tech cryopreservation method, adding a valuable option to the coral reef conservation toolkit. The approach reveals how size, toxicity, and developmental stage govern larval survival, while modeling links cooling and rewarming rates to a theoretical upper volume limit.
E. Michael Henley   +15 more
wiley   +1 more source

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

open access: yesAdvanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy