AIMC Topic: Hardness

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Optimizing critical quality attributes of fast disintegrating tablets using artificial neural networks: a scientific benchmark study.

Drug development and industrial pharmacy Dec 8, 2024
OBJECTIVE: The objective of this study is to create predictive models utilizing machine learning algorithms, including Artificial Neural Networks (ANN), k-nearest neighbor (kNN), support vector machines (SVM), and linear regression, to predict critic...
Support Vector Machine Tablets Machine Learning Algorithms Chemistry, Pharmaceutical Excipients Hardness Drug Compounding Linear Models Neural Networks, Computer
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A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests.

BMC medical informatics and decision making Mar 27, 2024
BACKGROUND: The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-friendly characteristics. The c...
Tablets Hardness Solubility Humans Excipients Artificial Intelligence
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A New Tactile Transfer Cell Using Magnetorheological Materials for Robot-Assisted Minimally Invasive Surgery.

Sensors (Basel, Switzerland) Apr 26, 2021
This paper proposes a new type of tactile transfer cell which can be effectively applied to robot-assisted minimally invasive surgery (RMIS). The proposed tactile device is manufactured from two smart materials, a magnetorheological fluid (MRF) and a...
Robotics Minimally Invasive Surgical Procedures Hardness Humans Touch Elastic Modulus
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Adjustable Compliance Soft Sensor via an Elastically Inflatable Fluidic Dome.

Sensors (Basel, Switzerland) Mar 11, 2021
Soft sensors are essential for robotic systems to safely interact with humans and the environment. Although significant research has been carried out in the field of soft tactile sensing, most of these sensors are restricted to a predefined geometry ...
Robotics Hardness Humans Touch
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Fluidic Fabric Muscle Sheets for Wearable and Soft Robotics.

Soft robotics Jan 6, 2020
Conformable robotic systems are attractive for applications in which they may actuate structures with large surface areas, provide forces through wearable garments, or enable autonomous robotic systems. We present a new family of soft actuators that ...
Muscles Models, Theoretical Hand Strength Equipment Design Hardness Robotics Humans Wearable Electronic Devices
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Use of Artificial Neural Network in Determination of Shade, Light Curing Unit, and Composite Parameters' Effect on Bottom/Top Vickers Hardness Ratio of Composites.

BioMed research international Nov 12, 2018
OBJECTIVE: To assess the influence of light emitting diode (LED) and quartz tungsten halogen (QTH) light curing unit (LCU) on the bottom/top (B/T) Vickers Hardness Number (VHN) ratio of different composites with different shades and determination of ...
Neural Networks, Computer Hardness Analysis of Variance Curing Lights, Dental Dental Materials Composite Resins Materials Testing
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Optimization of the Cohesion Index in the SeDeM Diagram Expert System and application of SeDeM Diagram: An improved methodology to determine the Cohesion Index.

PloS one Sep 13, 2018
In this study, we suggest optimizing the methodology to determine the Cohesion Index (Icd) in order to avoid mistaken characterizations due to powder bulk density. For this purpose, five different excipients, with different bulk densities and of diff...
Models, Theoretical Tablets Expert Systems Drug Compounding Powders Excipients Hardness
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Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Apr 22, 2018
Today, due to the increase in the population, the growth of industry and the variety of chemical compounds, the quality of drinking water has decreased. Five important river water quality properties such as: dissolved oxygen (DO), total dissolved sol...
Alkalies Electric Conductivity Oxygen Hydrogen-Ion Concentration Drinking Water Neural Networks, Computer Water Quality Hardness Temperature
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A Practical Framework Toward Prediction of Breaking Force and Disintegration of Tablet Formulations Using Machine Learning Tools.

Journal of pharmaceutical sciences Oct 27, 2016
Enabling the paradigm of quality by design requires the ability to quantitatively correlate material properties and process variables to measureable product performance attributes. Conventional, quality-by-test methods for determining tablet breaking...
Solubility Models, Chemical Drug Compounding Machine Learning Tablets Ultrasonics Excipients Particle Size Hardness
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Working hard to make a simple definition of synergies: Comment on: "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.

Physics of life reviews May 27, 2016
Robotics Hand Humans Hand Strength Hardness Neurosciences
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