Frequency-Aware Refinement Network with Multi-Scale Fusion for Remote Sensing Change Detection. [PDF]
Zhang X, Du Y, Zhang Z, Zhang K.
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Associations of visceral fat accumulation with cardiovascular disease across cardiovascular-kidney-metabolic syndrome stages 0-3: mediation effects of arterial stiffness in a prospective cohort study. [PDF]
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Study on the Variation of Resistance Factor of Polymer Microspheres with Distance from the Injection Well. [PDF]
Li J, Wu X, Shi G, Niu L.
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SUMOylation and ubiquitination reciprocally regulate SMCHD1 antiviral activity against herpes simplex virus 1. [PDF]
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Comparative discriminatory performance of emerging endocrine-metabolic indices versus obesity indices for cardiometabolic multimorbidity in older adults: a cross-sectional study. [PDF]
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Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study. [PDF]
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Cross-cultural de-centring of Recovery College tools: a 20-country Delphi study
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In the field of strategic marketing, the recency, frequency and monetary (RFM) variables model has been applied for years to determine how solid a database is in terms of spending and customer activity. Retailers almost never obtain data related to their
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Abstract A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in
Richard Colombo, Weina Jiang
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