Results 21 to 30 of about 3,029 (250)
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Customers Clustering Based on RFM Model by Using Fuzzy C-means Algorithm(Case Study: Zahedan City Refah Chain Store) [PDF]
One of the major challenges of customer-centric organizations is the recognition of customers, the distinction between different groups of customers and their ranking.
Abdolmajid Imani, Meysam Abbasi
doaj +1 more source
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
Optimizing CRM: A Framework for Enhancing Profitability and Increasing Lifetime Value of Customers
A research model is presented which provides a framework for Customer Relationship Management (CRM) wherein the lifetime value (LTV) of customers is increased while enhancing ongoing profitability.
RAMENDRA THAKUR, JOHN H. SUMMEY
doaj +1 more source
Modeling and Application of Customer Lifetime Value in Online Retail
This article provides an empirical statistical analysis and discussion of the predictive abilities of selected customer lifetime value (CLV) models that could be used in online shopping within e-commerce business settings.
Pavel Jasek +4 more
doaj +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Customer Lifetime Value of Supplementary Health Insurance: An Analytical Model
Background: With the number of insurance customers growing, insurance companies are trying new ways to retain customers and streamline communication channels to avoid loss of revenue.
Roohollah Dehghani Ghale +2 more
doaj
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Predicting e-commerce CLV with neural networks: The role of NPS, ATV, and CES
Accurately predicting Customer Lifetime Value (CLV) is paramount in optimizing customer relationship management. This study introduces a novel deep learning approach, employing a neural network model to forecast CLV for a leading international e-commerce
Vahid Norouzi
doaj +1 more source

