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Corruption can increase environmental efficiency and improve economy in developing countries, study argues - Phys.org

Corruption can increase environmental efficiency and improve economy in developing countries, study argues.org

Phys     Nov 24, 2023

The survival analysis of some environmental factors associated with lamb mortality in Awassi sheep

science

Most of the economic losses in the Turkish sheep industry are due to lamb deaths between birth and weaning period. Survival analysis is an essential step in the understanding of the lamb's survival function and the hazards that have an impact on mortality. The lamb records were accessed from 2013 to 2019, with the information of 11,523 lambs from birth to weaning at 90 days of age. The Kaplan-Meier method was used for the estimation of the survival function of the lambs. The Cox proportional

NCBI     Nov 21, 2023

Processes, Vol. 11, Pages 3290: Analysis of Factors Impacting CO2 Assisted Gravity Drainage in Oil Reservoirs with Bottom Water

In recent years, there has been significant focus on the issue of global carbon emissions. One of the most prominent areas of research in this regard is the use of carbon capture, utilization, and storage (CCUS) technology in the petrochemical industry. At present, the utilization of CO2 Assisted Gravity Drainage (CAGD) in oil reservoirs, particularly those containing bottom water, is considered to be in the early stages of exploration and development. In this study, a mechanistic model was built, and five key factors influencing CAGD were analyzed. These factors included the reservoir structure, CO2 injection site, initial formation pressure, reservoir thickness, and CO2 injection rate.

mdpi.com     Nov 24, 2023

Development and Validation of a Breastfeeding Health Literacy Scale (BFHLS) for Taiwanese Pregnant Women.

science

Breastfeeding is the best source of nutrition for infants. Health literacy is a critical factor affecting breastfeeding rates.

NCBI     Nov 25, 2023

Examining Appropriacy of CFI and TLI Cutoff Value in Multiple-Group CFA Test of Measurement Invariance to Enhance Accuracy of Test Score Interpretation

SAGE Open, Volume 13, Issue 4, October-December 2023. The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is ΔCFI and ΔTLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or different estimation methods, sample sizes, or model complexity). Moreover, prior cutoff value estimations often have ignored consequences resulting in using measures that more accurately estimate countries’ or learners’ proficiency for some countries or groups versus others. In this study, we investigate whether the cutoff value proposed by Cheung and Rensvold (ΔCFI or ΔTLI > 0.01) is appropriate across educational measurement ...

journals.sagepub.com     Nov 23, 2023