Methods:  In total, 100 maxillary molars were randomly assigned to 5 groups (n = 20) for restoration with 5 different materials: amalgam, light-cured glass-ionomer cement, feldspathic porcelain fused to metal, pressed lithium disilicate glass ceramic, and composite resin. In each group, 10 specimens were subjected to MRI, and 10 specimens served as controls with no MRI exposure. Standardized class V cavities were prepared with occlusal margins terminating in enamel and gingival margins terminating in dentin. Microleakage penetration at the enamel and dentin margins was calculated for each group. A chi-square test was used for intergroup comparisons. Statistical significance was established at P < .05.

Games and activities pull students away from the classroom and take them into a world of wondrous imagination. In this gamified world, they collaborate, learn, teach, compete, and wonder, ultimately developing a firm grip over the study material.


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 Divide your class into groups. Give all groups a number of different molecular resonance structures and ask them to rank them based on stability. The group that determines the correct stability order in the shortest time wins.

For example, when teaching resonance structures, talk about how materials scientists use the principles of molecular resonance to develop advanced materials for use in electronic devices. Discuss how biochemists and enzymologists design enzymes with better catalysis results by understanding how resonance can affect molecular stability. Tell your students how nanotechnologists use resonance to tweak the electronic properties of nanomaterials for biosensing applications.

The United States Patent Office classifies devices that tests mechanical resonance under subclass 579, resonance, frequency, or amplitude study, of Class 73, Measuring and testing. This subclass is itself indented under subclass 570, Vibration.[4] Such devices test an article or mechanism by subjecting it to a vibratory force for determining qualities, characteristics, or conditions thereof, or sensing, studying or making analysis of the vibrations otherwise generated in or existing in the article or mechanism. Devices include right methods to cause vibrations at a natural mechanical resonance and measure the frequency and/or amplitude the resonance made. Various devices study the amplitude response over a frequency range is made. This includes nodal points, wave lengths, and standing wave characteristics measured under predetermined vibration conditions.

Early in January 2020, Resonance had started to work on an information-driven system to reshape the idea of education. With its rattling efforts and sincere attempts, they built a cost-effective digital learning platform to create an astounding e-learning experience for its students. Having successfully designed an accelerated digital learning application named Resosir, they are widely helping their students through AWS- cloud computing resources that integrate classes, assessments, and recording lectures in a very systematic manner. By making use of newer AWS services, the app is envisioned to create world-class learning material accessible to the thousands of Resonance's students.

Powered by Resonance, Resosir is an amazing app that has improved key requisites of learning which in turn turned into a noble learning experience for students across the world. Especially for all the IIT-JEE and NEET aspirants. This India-based online learning app is now helping students to fuel their career growth. The approach combines the best interactive classes, exceptionally good faculties, guided study material, practice tests, and any time doubt forum which makes learning seamless.

Running on AWS instances, this exoteric learning app offers highly engaging, qualitative, and effective education programs for diversified students. Resosir is an exact online replica of the Resonance offline process developed by data experts. Here, the students get access to study material at all times. They can stay home and still learn from experts through video conferenced lectures hosted with the support of AWS file-based video transcoding service named AWS Elemental MediaConvert.

OBJECTIVES: Automated whole brain segmentation from magnetic resonance images is of great interest for the development of clinically relevant volumetric markers for various neurological diseases. Although deep learning methods have demonstrated remarkable potential in this area, they may perform poorly in nonoptimal conditions, such as limited training data availability. Manual whole brain segmentation is an incredibly tedious process, so minimizing the data set size required for training segmentation algorithms may be of wide interest. The purpose of this study was to compare the performance of the prototypical deep learning segmentation architecture (U-Net) with a previously published atlas-free traditional machine learning method, Classification using Derivative-based Features (C-DEF) for whole brain segmentation, in the setting of limited training data.

The following study materials and resources are suggested by experienced R.T.s to help you prepare for the magnetic resonance imaging certification exam offered by the American Registry of Radiologic Technologists.

A class of liquid crystal materials that has recently generated considerable interest is that of the liquid crystal dimers. Whereas the more familiar monomer systems generally comprise of a single rigid unit connected to a flexible chain, the dimers have two mesogenic groups connected with a flexible spacer. This simple extension allows the creation of a whole group of liquid crystal materials that possess properties fundamentally different to their monomer constituents, properties that resemble to a greater extent those of semi-flexible main chain liquid crystal polymers. The majority of dimer systems synthesised and studied so far can be classed as symmetric dimers; i.e. the two mesogenic groups are identical. However, a second group exists where the dimers have different mesogenic groups, the so-called non-symmetric dimers. These have been observed to display novel smectic phase structures where the layers have varying degrees of interconnection. At one extreme is the interdigitated arrangement for which a layer spacing of 1.8 molecular lengths is observed and at the other is the unusual intercalated where the layer spacing is 0.5 times the molecular length.

This dissertation presents research on a number of single molecule magnet (SMM) compounds conducted using high frequency, low temperature magnetic resonance spectroscopy of single crystals. By developing a new technique that incorporated other devices such as a piezoelectric transducer or Hall magnetometer with our high frequency microwaves, we were able to collect unique measurements on SMMs. This class of materials, which possess a negative, axial anisotropy barrier, exhibit unique magnetic properties such as quantum tunneling of a large magnetic moment vector. There are a number of spin Hamiltonians used to model these systems, the most common one being the giant spin approximation. Work done on two nickel systems with identical symmetry and microenvironments indicates that this model can contain terms that lack any physical significance. In this case, one must turn to a coupled single ion approach to model the system. This provides information on the nature of the exchange interactions between the constituent ions of the molecule. Additional studies on two similar cobalt systems show that, for these compounds, one must use a coupled single ion approach since the assumptions of the giant spin model are no longer valid. Finally, we conducted a collection of studies on the most famous SMM, Mn12Ac. Three different techniques were used to study magnetization dynamics in this system: stand-alone HFEPR in two different magnetization relaxation regimes, HFEPR combined with magnetometry, and HFEPR combined with surface acoustic waves. All of this research gives insight into the relaxation mechanisms in Mn12Ac.

We have investigated the electron spin resonance of donors in bulk and thin film -SiC at T = 10K to 40K. In both, two donor spectra are resolved; a three line spectrum associated with nitrogen on the carbon site and a broader line of unidentified origin. The observable hyperfine splitting decreases with increasing temperature due to a small valley-orbit splitting, in qualitative agreement with photoluminescence results. The lineshape has a significant lorentzian character even at the lowest temperatures, indicating exchange interactions with residual conduction electrons, possibly from a shallower donor. We find a lower concentration of both donors in the bulk material and a different temperature dependence of the lineshape for the two samples.

The new capabilities of the enhanced system will also enable new research including: study of large complex polysaccharides of industrial biotechnology interest in solution and solid forms (chemistry and life sciences); research and development into new materials (chemistry); development of new biopolymers which could replace chemical products (chemistry and life sciences); metabolomics of solid tumours and tissues (medical sciences); molecular characterisation of the complex systems and aggregates in live cells (life sciences). 006ab0faaa

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