Assessment of potentially toxic and rare earth elements in surface soils of Dong Nai, Vietnam.

This study investigates the quantities of Rare Earth Elements (REEs) and Potentially Toxic Elements (PTEs) in Dong Nai Province's surface soils. Atomic Absorption Spectrometry (AAS) and Instrumental Neutron Activation Analysis (INAA) were used to determine element concentrations. To validate the concentration results, established reference materials (NIST 2711 and IAEA Soil-7) were used.

Dietary polyunsaturated fatty acids and gastric cancer.

Polyunsaturated fatty acids (PUFAs) are fatty acids, containing more than one double bond and have both anti-inflammatory properties and inhibit tumor progression effects as well as carcinogenic properties. There is inconclusive evidence regarding the effect of PUFA intake on gastric cancer in diverse populations. We, therefore, aimed to determine the association between PUFA intake and risk of gastric cancer in a hospital-based case-control study comprising 1182 incident cases of gastric cancer and 2965 controls in Vietnam.

Evaluating the intersection of climate vulnerability and cancer burden in North Carolina.

Climate-related extreme weather events disrupt healthcare systems and exacerbate health disparities, particularly affecting individuals diagnosed with cancer. This study explores the intersection of climate vulnerability and cancer burden in North Carolina (NC). Using county-level data from the US Climate Vulnerability Index (CVI) and the NC Department of Health and Human Services, we analyzed cancer incidence and mortality rates from 2017-2021.

Concordant Signal of Genetic Variation Across Marker Densities in the Desert Annual Is Linked With Timing of Winter Precipitation.

Climate change coupled with large-scale surface disturbances necessitate active restoration strategies to promote resilient and genetically diverse native plant communities. However, scarcity of native plant materials hinders restoration efforts, leading practitioners to choose from potentially viable but nonlocal seed sources. Genome scans for genetic variation linked with selective environmental gradients have become a useful tool in such efforts, allowing rapid delineation of seed transfer zones along with predictions of genomic vulnerability to climate change.

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions.

Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impressive performance in the general domain and medical domain. However, a notable challenge is the lack of explainability of many advanced models, which poses risks in critical applications such as diagnosing findings in CXR. To address this problem, we propose ItpCtrl-AI, a novel end-to-end interpretable and controllable framework that mirrors the decision-making process of the radiologist.