Results 81 to 90 of about 65,911 (247)
ABSTRACT Objective To examine changes in children's Medicaid and CHIP enrollment during the Families First Coronavirus Response Act unwinding and assess whether CHIP enrollment offsets Medicaid declines. Study Setting and Design We used linear probability models with monthly indicators to estimate changes in enrollment from April 2023 to September 2024
Erica L. Eliason +2 more
wiley +1 more source
Bagging and boosting classification trees to predict churn. [PDF]
Bagging; Boosting; Classification; Churn;
Croux, Christophe, Lemmens, Aurélie
core +3 more sources
PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS
Machine learning, or as it is also called automated learning, is a special subfield of scientific information technologies. The name "machine learning" refers to the automated detection of meaningful patterns in large data sets.
Edin Osmanbegović +2 more
doaj +2 more sources
Abstract Social scientists have long been interested in understanding how age, period, and cohort effects shape long‐term homicide trends. Yet fundamental measurement challenges remain pervasive in estimating age‐specific homicide rates for birth cohorts.
Jason Robey, Matt Vogel
wiley +1 more source
Vertical upward flow patterns in small diameter tubes [PDF]
Two-phase flow patterns were studied in vertical small diameter tubes using R134a as the working fluid. The observed flow patterns include bubbly, dispersed bubble, confined bubble, slug, churn, annular and mist flow.
Chen, L, Karayiannis, TG, Tian, YS
core
Product churn, tastes, and price indices
Abstract Price indices commonly used to measure inflation do not account for the entry and exit of products nor for systemic changes in consumer preferences over time. Recent developments in the theory of price indices show that these issues have significant impacts on the growth of prices that consumers experience.
Hao Lan +3 more
wiley +1 more source
Open Source Data Mining Programs: A Case Study on R
The processes on the way from rawdata to meaningful information is called data mining. The data is processed byapplying various methods of data mining in order to extract hidden informationamong raw data. The processed raw data becomes usable in the next
Muhammet Sinan Başarslan, Fatih Kayaalp
doaj
A strike for democracy? Migration, the bigot's veto, and the electoral use of force
Abstract Politicians and philosophers alike have warned that the spread of anti‐migrant bigotry in the Western world requires a tragic trade‐off regarding immigration policy: Although millions of asylum‐seekers might be owed admission to Western democracies, there are many cases where they nonetheless ought to be denied entry, because their admission ...
Shmuel Nili
wiley +1 more source
The policy adjacent: How affordable housing generates policy feedback among neighboring residents
Abstract While scholars have documented feedback effects among a policy's direct winners and losers, less is known about whether such effects can occur among the indirectly affected—“the policy adjacent.” Using 458 geocoded housing developments built between two nearly identical statewide ballot propositions funding affordable housing in California, we
Michael Hankinson +2 more
wiley +1 more source
Abstract Soils that contain swelling clay minerals (e.g., montmorillonite) expand and contract during wetting and drying, causing movement within the soil profile. This process, known as argilliturbation, can alter artefact distributions, destroy stratigraphy and complicate the interpretation of archaeological deposits.
Caroline Mather +11 more
wiley +1 more source

