Results 71 to 80 of about 43,575 (292)

Knowledge and Attitude of Consumers about Natural Food Toxins: A Case of Tertiary Students in the Volta Region of Ghana

open access: yesJournal of Food Quality and Hazards Control, 2021
Background: Natural Food Toxins (NFTs) are poisonous substances produced by the biological processes of living organisms. This study aimed to evaluate the knowledge and attitude of tertiary students of the Volta Region of Ghana about NFTs.
N.K. Kortei   +6 more
doaj  

Oral Inflammation, Tooth Loss, Risk Factors, and Association with Progression of Alzheimer’s Disease [PDF]

open access: yes, 2014
Periodontitis is a polymicrobial chronic inflammatory disease of tooth-supporting tissues with bacterial etiology affecting all age groups, becoming chronic in a subgroup of older individuals.
Crean, Stjohn   +5 more
core   +1 more source

Non-fungible tokens (NFTs) as promotional devices: research needs and future projections

open access: yesInternational Journal of Advertising, 2023
according to the Merriam-Webster dictionary, a non-fungible token (NFt) is,” a unique digital identifier that cannot be copied, substituted, or subdivided, that is recorded in a blockchain, and that is used to certify authenticity and ownership (as of a ...
C. R. Taylor
semanticscholar   +1 more source

Orthogonal Ionic Liquid‐Based Extraction Strategy Enables Amyloid‐Specific Profiling of Aggregate Proteome

open access: yesAdvanced Science, EarlyView.
An orthogonal ionic‐liquid extraction (Orth‐iEA) enables selective isolation of amyloid fibrils. TMGBF4 disrupts hydrogen‐bonded β‐sheet networks to solubilize amyloid aggregates, whereas C12ImCl interacts with hydrophobic regions of non‐amyloid proteins.
Shiying Zheng   +10 more
wiley   +1 more source

Non-Fungible Tokens (NFTs) in Healthcare: A Systematic Review

open access: yesInternational Journal of Environmental Research and Public Health
Amid global health challenges, resilient health systems require continuous innovation and progress. Stakeholders highlight the critical role of digital technologies in accelerating this progress.
T. Nunes   +4 more
semanticscholar   +1 more source

Research progress on biomarkers of traumatic brain injury

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Traumatic brain injury: From primary insult to secondary neuroinflammation and degeneration. Abstract Traumatic brain injury (TBI) is a common disorder of the nervous system and has become a leading cause of death and disability worldwide, imposing a substantial burden on patients and their social circles. Its main symptoms include dyskinesia, language
Xuting Shen   +8 more
wiley   +1 more source

Mapping the NFT revolution: market trends, trade networks, and visual features

open access: yesScientific Reports, 2021
Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. They are traded online, often with cryptocurrency, and are generally encoded within smart contracts on a blockchain.
Matthieu Nadini   +5 more
doaj   +1 more source

Altered Expression of the CB1 Cannabinoid Receptor in the Triple Transgenic Mouse Model of Alzheimer's Disease [PDF]

open access: yes, 2014
The endocannabinoid system has gained much attention as a new potential pharmacotherapeutic target in various neurodegenerative diseases, including Alzheimer's disease (AD).
*EQUAL CONTRIBUTION   +12 more
core   +1 more source

Investigating viewer engagement in esports through motivation and attitudes toward metaverse and NFTs

open access: yesScientific Reports
As the esports industry continues its rapid growth, new opportunities such as the metaverse and non-fungible tokens (NFTs) are emerging, driven by the inherently digital nature of esports. To better understand viewer engagement in this evolving landscape,
Hyeon Jo, Seung A Shin
semanticscholar   +1 more source

Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism

open access: yesAnnals of Neurology, EarlyView.
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono   +5 more
wiley   +1 more source

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