Results 121 to 130 of about 459,897 (295)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security

open access: yesIEEE Transactions on Knowledge and Data Engineering
The widespread adoption of smartphones and Location-Based Social Networks has led to a massive influx of spatio-temporal data, creating unparalleled opportunities for enhancing Point-of-Interest (POI) recommendation systems. These advanced POI systems are crucial for enriching user experiences, enabling personalized interactions, and optimizing ...
Qianru Zhang   +6 more
openaire   +4 more sources

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

open access: yesFEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo   +7 more
wiley   +1 more source

YIPFα1A expression is regulated by multilayered molecular mechanisms

open access: yesFEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji   +2 more
wiley   +1 more source

Web application for point of interest recommendation

open access: yes, 2017
In the recent years, we have been observed the rising trend of social networks. People have formed a new habit of sharing their experience in every daily activity with their friends online.
Tran, Dang Tuan Anh
core  

Point of Interest Recommendation engine

open access: yesINTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH, 2020
T. SAKTHISREE   +3 more
openaire   +1 more source

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

open access: yesFEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner   +7 more
wiley   +1 more source

Conflicts of interest: The ethical viewpoint [PDF]

open access: yes
Conflicts of interest are a very widespread ethical problem which, precisely for that reason, deserves special attention, both from a legal viewpoint and from the point of view of ethics applied to organizations and professions.
Argandoña, Antonio
core  

Topic-enhanced memory networks for personalised point-of-interest recommendation

open access: yes, 2019
Point-of-Interest (POI) recommender systems play a vital role in people's lives by recommending unexplored POIs to users and have drawn extensive attention from both academia and industry.
Mascolo, C, Zhao, Z, Zhou, X, ,
core   +2 more sources

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

open access: yesFEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee   +3 more
wiley   +1 more source

Optimized tourist point-of-interest recommendation through ARIMA and SVD in edge environment

open access: yesJournal of Cloud Computing: Advances, Systems and Applications
In edge computing environments, accurate and timely Point of Interest (POI) recommendation is critical for enhancing tourist user experience and service efficiency.
Haibo Dong, Zhenxiang Liu, Edris Khezri
doaj   +1 more source

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