Results 31 to 40 of about 830,308 (288)

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

FEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

DialogueNeRF: towards realistic avatar face-to-face conversation video generation

Visual Intelligence
Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, significant breakthroughs have been made in text and voice conversation generation.
Yichao Yan, Zanwei Zhou, Zi Wang, Jingnan Gao, Xiaokang Yang   +4 more
doaj   +1 more source

Designing Women: Essentializing Femininity in AI Linguistics [PDF]

, 2019
Since the eighties, feminists have considered technology a force capable of subverting sexism because of technology’s ability to produce unbiased logic.
Vega, Ellianie S.
core   +1 more source

The Future of Human-Artificial Intelligence Nexus and its Environmental Costs [PDF]

, 2020
The environmental costs and energy constraints have become emerging issues for the future development of Machine Learning (ML) and Artificial Intelligence (AI).
Spelda, Petr, Stritecky, Vit
core  

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

LITP-GAN: Leaf image translation pipeline using DETR and GLA-Net considering the lesion area of plant disease

Journal of King Saud University: Computer and Information Sciences
Quick disease diagnosis is crucial in agriculture to reduce crop yield losses. Deep learning techniques have already been successfully applied to several tasks in agriculture, but it requires sufficient datasets. Obtaining sufficient plant disease images
Ri Zheng, Jimin Lee, Helin Yin, Dong Jin, Yeong Hyeon Gu   +4 more
doaj   +1 more source

Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity

Arthritis Care &Research, EarlyView.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

Technological Singularity [PDF]

, 2017
Hypothetically, technological singularity is considered as irreversible changes to the mankind resulted from technological growth due to the invention of artificial super intelligence (AI). The major concern is that AI will come out of the control and,
Garzha, N.S., Ivanchenko, I.A., Marchenko, V.T., Zhukova, I.A.   +3 more
core  

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Human mobility prediction with causal and spatial-constrained multi-task network

EPJ Data Science
Modeling human mobility helps to understand how people are accessing resources and physically contacting with each other in cities, and thus contributes to various applications such as urban planning, epidemic control, and location-based advertisement ...
Zongyuan Huang, Shengyuan Xu, Menghan Wang, Hansi Wu, Yanyan Xu, Yaohui Jin   +5 more
doaj   +1 more source