Results 201 to 210 of about 2,065,794 (327)
Enhancing software effort estimation with random forest tuning and adaptive decision strategies. [PDF]
A G PV, K AK, S R.
europepmc +1 more source
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié+16 more
wiley +1 more source
Application of Lean Metrics for Analysis and Improvement in Software Maintenance Processes
Teresa Maciel+2 more
openalex +2 more sources
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker+16 more
wiley +1 more source
Stability analysis of slope based on the coupling of well-point dewatering and chemical improvement slope stabilization. [PDF]
Chai S+5 more
europepmc +1 more source
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad+17 more
wiley +1 more source
Influence of physical exercise on health improvement in older adult cancer patients: a systematic review. [PDF]
Corrêa R+3 more
europepmc +1 more source
Static planning models synthesis of quality improvement of software development process
Михаил Дмитриевич Годлевский+1 more
openalex +2 more sources
In over 50% of non‐metastatic breast cancer patients, circulating tumor cells (CTCs) along the whole epithelial‐mesenchymal transition spectrum are detected. Total CTC number and individual phenotypes relate to aggressive disease characteristics, including lymph node involvement and higher tumor proliferation. At the single‐cell level, mesenchymal CTCs
Justyna Topa+14 more
wiley +1 more source