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Mostrando ítems 11-20 de 62
Novel Thiosemicarbazone Derivatives from Furan-2-Carbaldehyde: Synthesis, Characterization, Crystal Structures, and Antibacterial, Antifungal, Antioxidant, and Antitumor Activities
(Hindawi Limited, 2023)
Acceso abierto
Ten new thiosemicarbazone derivatives, furan-2-carbaldehyde thiosemicarbazone (1), 3-methyl-furan-2-carbaldehyde thiosemicarbazone (2), 5-hydroxymethyl-furan-2-carbaldehyde thiosemicarbazone (3), 5-trifluoromethyl-furan- ...
Proteína C reactiva como biomarcador predictivo de fuga anastomótica en cirugía oncológica colorrectal: estudio de cohorte retrospectivo
(Asociación Colombiana de Cirugía, 2023)
Acceso abierto
Introduction. Anastomotic leak is the most serious complication of surgical treatment of colon cancer due to its high morbidity and mortality. The obvious diagnosis manifested by the exit of intestinal content through ...
Assessment of the Application of Ferrate(VI) in the Treatment of Agricultural Irrigation Water: Presence of Metals and Escherichia coli in Fresh Produce
(MDPI, 2023)
Acceso abierto
The aim of this study is to evaluate the effects of ferrate (VI)-based treatment on surface water collected from the Rímac River as an irrigation water treatment model for bean (Phaseolus vulgaris), lettuce (Lactuca sativa), ...
Productivity Enhancement through a Proposed Methodology in the Cutting Process of SMEs
(Seventh Sense Research Group, 2023)
Acceso abierto
The textile industry is still an essential sector in the global economy, and Peru, it plays a significant role in job creation. However, it often faces challenges such as a lack of innovation, high competition that decides ...
Minimization of Smashed Products in Sustenance Industries by Lean and Machine Learning Tools
(Seventh Sense Research Group, 2023)
Acceso abierto
This study focuses on developing a solution to one of the main problems in the food sector, product deterioration, often due to poor inventory management, low turnover, and lack of shelf-life control, among other causes. ...
Improving Demand Forecasting by Implementing Machine Learning in Poultry Production Company
(Seventh Sense Research Group, 2023)
Acceso abierto
The use of manual methods to forecast demand in perishable food companies is generally subject to the variability of internal and external factors in the company, causing excess inventories and significant monetary losses, ...
Impact of Bayesian Approach to Demand Management in Supply Chains for the Consumption of Dynamic Products
(Instituto Politécnico Nacional, 2023)
Acceso abierto
Bayesian approach was applied to the management of the supply chain in a dynamic food product portfolio for a company in the retail sector. We propose a quasi-experimental method considering pre and posttest and a control ...
Minimization of Product Distribution Delays through An Integration Model of Lean Manufacturing Tools and A3 Report-Case Study
(Seventh Sense Research Group, 2023)
Acceso abierto
Latin American and Caribbean Gross Domestic Product (GDP) is about 70% of manufacturing. Product supply is vital for mass consumption enterprises due to population consumption. Improving value chain logistics maximizes ...
Improving Demand Analysis and Supply Chain Management for Hair Products During the COVID-19 Pandemic: A Machine Learning Approach
(Seventh Sense Research Group, 2023)
Acceso abierto
This research analyzes the demand for hair care products during the COVID-19 pandemic. Two forecasting models, Arima and Sarima, based on Machine Learning technology, were proposed to improve data analysis and supply chain ...
Acquisition and analysis of floc images by machine learning technique to improve the turbidity removal process
(Desalination Publications, 2023)
Acceso restringido
his article reports on the implementation and use of a floc image acquisition and analysis system in a pilot water treatment plant to remove kaolin turbidity with a coagulant and flocculant. The system is based on the ...