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Can I benefit from laboratory automation? A decision aid for the successful introduction of laboratory automation
The large volumes of samples to be analysed every day would be impossible to manage without laboratory automation. As laboratory procedures have...
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Unbalanced response to growth variations reshapes the cell fate decision landscape
The global regulation of cell growth rate on gene expression perturbs the performance of gene networks, which would impose complex variations on the...
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Estimating the Risk of Diabetes Using Association Rule Mining Based on Clustering
Association rule is a well known and simple strategy for finding relations between information in a huge informational collection. Association rule...
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Wood Flour-Reinforced Green Composites: Parameter Optimization via Multi-criteria Decision-Making Methods
The aim of this study was to investigate the physical, mechanical, morphological, structural, and thermal properties of polylactic acid (PLA) and...
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Experimental investigation and optimization of sand-coated solar air collector parameters by fuzzy-MCDM integrated decision approach
A sand-coated solar air collector (SCSAC) is simulated and optimized using an integrated expert technique fuzzy C-Means Takagi–Sugeno–Kang fuzzy...
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The Decision to Pursue an Internship
Internships are an exciting opportunity to dive headfirst into the food industry. Many advisors, professors, and professionals will agree that an...
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Machine Learning-Enabled Biosensors in Clinical Decision Making
Healthcare digitization offers a variety of chances for minimizing human error rates, enhancing clinical results, monitoring data over time, etc....
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Exergy approach in decision-based design of absorption refrigeration system using artificial intelligence and simulink
Exergy approach is essential for the design and possible operation of the absorption system with energy loss minimization. Operational limitations of...
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Investigation on Stiffness of Finished Stretch Plain Knitted Fabrics Using Fuzzy Decision Trees and Artificial Neural Networks
Stiffness is one of the most important utility properties of textile materials and plays a significant role in well-being due to its influence on...
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Computational screening of matrix metalloproteinase 3 inhibitors to counteract skin aging from phytochemicals of Nelumbo nucifera Gaertn
Human matrix metalloproteinase 3 (MMP3), also known as Stromelysin-1, is involved in various cellular processes, including skin aging, making it an...
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In silico screening of chalcone derivatives as promising EGFR-TK inhibitors for the clinical treatment of cancer
Epidermal growth factor receptor (EGFR) promotes tumorigenic characteristics and activates cancer-associated signaling pathways such as Wnt/-catenin,...
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Identification of Novel PI3Kα Inhibitor Against Gastric Cancer: QSAR-, Molecular Docking–, and Molecular Dynamics Simulation–Based Analysis
Gastric cancer (GC) is a malignant tumor with global incidence and death ranking fifth and fourth, respectively. GC patients nevertheless have a poor...
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TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree
Cell-penetrating peptides (CPPs) are short length permeable proteins have emerged as drugs delivery tool of therapeutic agents including genetic...
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Application of decision trees and fuzzy inference system for quality classification and modeling of black and green tea based on visual features
A fuzzified decision tree (DT)-based computer vision system was developed in this study for classification of common Iranian teas. Images of...
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Interpretable Fuzzy Granular Reasoning Framework for Industrial Dynamic Complex Event Recognition
Industrial dynamic complex event recognition (CER) can provide decision makers with reference for fault diagnosis and process optimization. It is one...
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Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle
As an alternative to the conventional amperometric method used for the determination of damaged starch ratio in wheat flour, two machine learning...
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What Are Organometallic Compounds?
The difference between an organometallic compound and a coordination compound is defined. The 18 electron rule for determining the stability of...
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Review of techniques and models used in optical chemical structure recognition in images and scanned documents
Extraction of chemical formulas from images was not in the top priority of Computer Vision tasks for a while. The complexity both on the input and...
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Evaluation of novel power and refrigeration system energy and exergy perspective
A new power and refrigeration cycle is examined in the present study. The system proposed is a combination of organic Rankine cycle (ORC) and an...
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Exploring the ability of machine learning-based virtual screening models to identify the functional groups responsible for binding
Many recently proposed structure-based virtual screening models appear to be able to accurately distinguish high affinity binders from non-binders....
