Results 31 to 40 of about 8,597 (170)
Applying advanced sentiment analysis for strategic marketing insights: A case study of BBVA using machine learning techniques [PDF]
In the digital era, understanding public sentiment toward brands on social media is essential for crafting effective marketing strategies. This study applies sentiment analysis on Banco Bilbao Vizcaya Argentaria (BBVA) tweets using advanced machine ...
Luis Miguel Garay Gallastegui +2 more
doaj +1 more source
Scaling laws of strategic behaviour and size heterogeneity in agent dynamics
The dynamics of many socioeconomic systems is determined by the decision making process of agents. The decision process depends on agent's characteristics, such as preferences, risk aversion, behavioral biases, etc.. In addition, in some systems the size
Esteban Moro +7 more
core +1 more source
Ewald's Conjecture and integer points in algebraic and symplectic toric geometry
Abstract We solve several open problems concerning integer points of reflexive smooth polytopes, also known as monotone polytopes. While the paper belongs to the realm of discrete geometry, the connection with symplectic and algebraic geometry appears naturally since these polytopes have an important role in both areas.
Luis Crespo +2 more
wiley +1 more source
c‐MYB‐ and PGC1a‐dependent metabolic switch induced by MYBBP1A loss in renal cancer
Under harsh environmental conditions, genetic alterations conferring selective advantages may initiate the growth of tumor subclones. In this work, we performed a genetic loss‐of‐function screen in the absence of glucose. We found that downregulation of MYBBP1A in c‐MYB+ and pVHL− renal carcinoma cell lines switches glycolytic metabolism to oxidative ...
Blanca Felipe‐Abrio +2 more
wiley +1 more source
Bank Technology M&As and Market Valuation: Lessons From the COVID‐19 Shock
ABSTRACT We study listed banks in 27 OECD countries that executed technology mergers and acquisitions (M&As) over the two decades spanning 1998–2019 and assess their market performance during the COVID‐19 pandemic. Our findings reveal a significant relationship between past bank technology acquisitions and market valuation when digital transformation ...
Claudia Curi +2 more
wiley +1 more source
Improving Children’s Experience on a Mobile EdTech Platform through a Recommender System
Smile and Learn is an EdTech digital publisher that offers a smart library of close to 100 educational stories and gaming apps for mobile devices aimed at children aged 2 to 10 and their families. Given the complexity of navigating the content, a recommender system was developed.
Almudena Ruiz-Iniesta +4 more
wiley +1 more source
Economic activity during extreme events
Abstract Although extreme weather events, natural disasters or infrastructure failures potentially have important economic effects, quantifying these effects over small areas and fine time intervals has been difficult because of the fairly coarse scales available in most data sources. This paper surveys the use of relatively new and finely grained data
John W. Galbraith
wiley +1 more source
Introduction: Current methods to determine HER2 (human epidermal growth factor receptor 2) status are affected by reproducibility issues and do not reliably predict benefit from anti‐HER2 therapy. Quantitative measurement of HER2 may more accurately identify breast cancer (BC) patients who will respond to anti‐HER2 treatments.
Paolo Nuciforo +16 more
wiley +1 more source
Gene expression‐based classifications of fibroadenomas and phyllodes tumours of the breast
Fibroepithelial tumors (FTs) of the breast are a heterogeneous group of lesions ranging from fibroadenomas (FAD) to phyllodes tumors (PT) (benign, borderline, malignant). Further understanding of their molecular features and classification might be of clinical value.
Maria Vidal +7 more
wiley +1 more source
Abstract This study examines green and non‐green‐banks from a financial stability point of view and specifically whether there are any discernible performance differences between the two groups. Using the supervisory ratios namely CAMEL variables, and employing panel data techniques (random effects model) and a global panel data set of 165 banks from ...
Ioannis Malandrakis, Konstantinos Drakos
wiley +1 more source

