Results 81 to 90 of about 17,594 (242)

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

open access: yesAsia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Molecular Approaches to the Treatment, Prophylaxis, and Diagnosis of Alzheimer’s Disease: Novel PET/SPECT Imaging Probes for Diagnosis of Alzheimer’s Disease

open access: yesJournal of Pharmacological Sciences, 2012
Alzheimer’s disease (AD) is a neurodegenerative disease of the brain associated with irreversible cognitive decline, memory impairment, and behavioral changes.
Masahiro Ono, Hideo Saji
doaj   +1 more source

Non-fungible tokens (NFTs)

open access: yes
This chapter provides an overview of non-fungible tokens (NFTs) as an investment instrument. The first part focuses on the NFT infrastructure including the primary and secondary markets for NFTs and the different types of NFT exchanges, aggregators ...
Polyzos, Efstathios, Mazur, Mieszko
core   +1 more source

Between Cryptocurrencies' Risk and Crypto Environmental Attention: The Crypto Environment Attention Index and Volatility in the Cryptocurrencies Market Nexus

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This study investigates the impact of environmental attention on cryptocurrency market volatility by introducing the Crypto Environmental Attention Index (CEAI), a new metric inspired by Wang et al. (2022) and constructed using daily web search data.
Ines Ghazouani   +2 more
wiley   +1 more source

Increased expression of inflammasome signaling genes and proteins in selective brain regions in the intermediate stage of Alzheimer's disease

open access: yesBrain Pathology, EarlyView.
Neuritic plaques increase in the intermediate stage of Alzheimer's neuropathological change. The intermediate stage of Alzheimer's disease was investigated by transcriptomics and immunohistochemistry. This revealed that inflammasome sensors NLRP1, NLRP3, and AIM2 oligomerize with ASC speck to form the inflammasome complex and initiate the downstream ...
Juan Pablo de Rivero Vaccari   +10 more
wiley   +1 more source

NFTs 101 [PDF]

open access: yes
Non-fungible tokens (NFTs) and the blockchain are a relatively new technology that is becoming ubiquitous – yet most creators and buyers are saturated with an ever-increasing arsenal of jargon that, in some cases, makes it difficult to fully appreciate ...
Alonso, E., Mondragón, E.
core   +1 more source

Associations between TMEM106B C‐terminal fragment aggregation, age, and TDP‐43 or tau pathology

open access: yesBrain Pathology, EarlyView.
TMEM106B C‐terminal fragment (CTF) aggregation represents an age‐associated, common, diffuse phenomenon emerging after midlife with a weak association with TDP‐43 or tau pathology. These findings suggest that TMEM106B fibrillization may define a distinct axis of protein aggregation in the aging human brain. Abstract Transmembrane protein 106B (TMEM106B)
Albert Acewicz   +5 more
wiley   +1 more source

Non-Fungible Tokens (NFTs)—Survey of Current Applications, Evolution, and Future Directions

open access: yesIEEE Open Journal of the Communications Society
Non-fungible tokens (NFTs) have become an exciting technology that provides a fresh perspective on asset ownership, provenance, and value exchange. NFTs, a blockchain-based technology, are distinct and indivisible cryptographic tokens used to confirm and
Qaiser Razi   +5 more
doaj   +1 more source

NFTs as a financial asset [PDF]

open access: yes, 2022
Treball Final de Grau en Finances i Comptabilitat. Codi: FC1049. Curs acadèmic: 2021-2022In this project we will focus on finding out what NFTs are and how they originated.
Claramunt Darós, Vicente José
core  

Data‐driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology

open access: yesBrain Pathology, EarlyView.
We generated digital pathologic algorithms (AI‐based modules that can be freely shared) to: optimize the sampling (ROI) for diagnosis of ADNC‐related tau pathology; compare/transition between Aperio and HALO platforms; and rationalize severe Braak NFT staging, so that all Braak‐VI cases had dementia, and all Braak‐V cases had MCI or dementia.
Ryan K. Shahidehpour   +10 more
wiley   +1 more source

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