MOLYBDENUM (VI) BINDED TO HUMIC AND NITROHUMIC ACID MODELS IN AQUEOUS SOLUTIONS. SALICYLIC, 3-NITROSALICYLIC, 5-NITROSALICYLIC AND 3,5 DINITROSALICYLIC ACIDS: PART 2

Molybdenum (VI) binded to humic and nitrohumic acid models in aqueous solutions. Salicylic, 3-nitrosalicylic, 5-nitrosalicylic and 3,5 dinitrosalicylic acids: part 2

In this work electrochemical and Ultraviolet-Visible studies were performed in solutions Mechanical pencil of salicylic acid models of humic and nitrohumic acids, a laboratory artifact, and molybdenum in order to determine the affinity of these models towards the metal ion.Molybdenum, which plays a very important role in the soil chemistry, and tog

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Development of Cyclic Peptides Targeting the Epidermal Growth Factor Receptor in Mesenchymal Triple-Negative Breast Cancer Subtype

Triple-negative breast cancer (TNBC) is an aggressive malignancy characterized by the lack of expression of estrogen and progesterone receptors and amplification of human epidermal growth factor receptor 2 (HER2).Being the Epidermal Growth Factor Receptor (EGFR) highly expressed in mesenchymal TNBC and correlated with aggressive growth behavior, it

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An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

Abstract Clinical research networks (CRNs), made up of multiple healthcare systems each with patient data from several care sites, are beneficial for studying rare outcomes and increasing generalizability of results.While CRNs encourage sharing aggregate coffee data across healthcare systems, individual systems within CRNs often cannot share patien

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Assessment of Client Satisfaction in Six Urban WIC Clinics

Customer service is a measure of support and courtesy provided to individuals who patronize Wall Shelves an organization, and is a factor vital to the success of any business.Programs that strive to meet critical needs of at risk populations, such as the Special Supplementation Nutrition Program for Women, Infants, and Children (WIC), may also bene

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Bayesian modeling and simulation to inform rare disease drug development early decision-making: Application to Duchenne muscular dystrophy.

Rare disease clinical trials are constrained to small sample sizes and may lack placebo-control, leading to challenges in drug Luminaire development.This paper proposes a Bayesian model-based framework for early go/no-go decision making in rare disease drug development, using Duchenne muscular dystrophy (DMD) as an example.Early go/no-go decisions

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