Dynamic Asset Allocation Explained: Strategies for Market Conditions

Dynamic asset allocation adjusts your portfolio based on macroeconomic trends to optimize returns and manage risk, offering flexibility in varying market conditions.
GitHub

Consider adding a smart count generator for QueryExpressionDSL?

Currently, when implementing pagination with MyBatis Dynamic SQL, returning a PageData with total count is not very elegant. Developers often need to write a utility method to construct both the ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Honolulu Star-Advertiser

Column: Patsy Mink remains shining example of dynamic leader

Select an option below to continue reading this premium story. Already a Honolulu Star-Advertiser subscriber? Log in now to continue reading. Mink is described as the “mother of Title IX who stood up ...
Hacker

How to Master SQL Joins - Inner, Outer, Cross, and Self-Joins With Examples

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Hacker

This Dev Hacked EF Core Just to Make SQL LIKE Work in .NET 8 — And It Actually Does

M.Sc. C.S. University of Belgrade, Serbia; MCSA – Microsoft Certified Solutions Associate (C#, ASP.NET MVC); CodeProject MVP (x2 years); C#-Corner MVP (x3 years ...
Frontiers

Dynamic representations of theory testing in physical activity using ecological momentary assessment: an example guide utilizing multi-process action control

1 School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada 2 Child and Youth Studies, Brock University, St. Catharines, ON, Canada Behavioral theories ...
IEEE

FeDMus: Federated Dynamic Example Mining for Unlabeled Sensor Data in Industrial Automation

Abstract: Machine learning-based time series analysis has numerous applications in industrial automation, particularly in identifying sensor signals collected from distributed machines. However, large ...