Results 111 to 120 of about 487,210 (299)
Comparison of Box–Behnken, Central Composite, and D-Optimal Designs for Optimization of Phthalocyanine Dye Removal Using Magnetic Nanoparticles Iron Oxide Modified by Polyaspartic Acid [PDF]
In this study, the performance of the Box–Behnken, central composite and D-optimal designs (BBD, CCD or DOD, respectively) were compared for the use in modeling and optimizing the new study of the removal of phthalocyanine dye using magnetic ...
Javad Zolgharnein +2 more
doaj +1 more source
An note on the maximization of matrix valued Hankel determinants with application [PDF]
In this note we consider the problem of maximizing the determinant of moment matrices of matrix measures. The maximizing matrix measure can be characterized explicitly by having equal (matrix valued) weights at the zeros of classical (one dimensional ...
Dette, Holger, Studden, W. J.
core
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Sample size estimation and power analysis for clinical research studies
Determining the optimal sample size for a study assures an adequate power to detect statistical significance. Hence, it is a critical step in the design of a planned research protocol.
K P Suresh, S Chandrashekara
doaj +1 more source
Incorporating Cost in Power Analysis for Three-Level Cluster Randomized Designs [PDF]
In experimental designs with nested structures entire groups (such as schools) are often assigned to treatment conditions. Key aspects of the design in these cluster randomized experiments include knowledge of the intraclass correlation structure and the
Konstantopoulos, Spyros
core
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
Statistical experimental designs were applied for the optimization of medium constituents for soluble dietary fiber (SDF) production by Ganoderma lucidum in solid state fermentation (SSF) using lotus root pomace (LRP) as the substrate. Factors including
YONGQI YIN +4 more
doaj +1 more source
Simultaneous Optimal Uncertainty Apportionment and Robust Design Optimization of Systems Governed by Ordinary Differential Equations [PDF]
The inclusion of uncertainty in design is of paramount practical importance because all real-life systems are affected by it. Designs that ignore uncertainty often lead to poor robustness, suboptimal performance, and higher build costs.
Hays, Joe +3 more
core +1 more source
NKCC1: A key regulator of glioblastoma progression
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen +5 more
wiley +1 more source
Experimental designs for environmental valuation with choice-experiments: A Monte Carlo investigation [PDF]
We review the practice of experimental design in the environmental economics literature concerned with choice experiments. We then contrast this with advances in the field of experimental design and present a comparison of statistical efficiency across ...
Ferrini, Silvia, Scarpa, Riccardo
core +1 more source

