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Статті в журналах з теми "Loss surface"

Автор: Grafiati

Опубліковано: 2 листопада 2024

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1

Qi Zhang, Qi Zhang, Chaohua Tan Chaohua Tan, Chao Hang Chao Hang, and Guoxiang Huang Guoxiang Huang. "Low-loss Airy surface plasmon polaritons." Chinese Optics Letters 13, no. 8 (2015): 082401–82404. http://dx.doi.org/10.3788/col201513.082401.

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2

Mäki, Markku, and Liisa Aine. "TOOTH SURFACE LOSS." Journal of the American Dental Association 143, no. 7 (July 2012): 730. http://dx.doi.org/10.14219/jada.archive.2012.0246.

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3

Voitko, I. I., V. A. Denisovich, T. V. Kibalnik, O. A. Sopruk, and R. V. Bondar. "Oxidized coal as a sorbent for softening water." Surface 13(28) (December 30, 2021): 188–96. http://dx.doi.org/10.15407/surface.2021.13.188.

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Анотація:

Sorption tests carried out oxidized nitric acid active carbon in H+- and Na+- form in relation to cations Mg2+ and Ca2+ and mixture thereof. Values obtained statistical volumetric capacity samples and mass loss them during processing nitric acid, that is oxidation state. Discovered correlation between these data and relevant sorption volume samples. Demonstrated a possible water softening oxidized coal subject to specific solution acidity.

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4

HOPSTER, H. "SPIN-POLARIZED ELECTRON ENERGY LOSS SPECTROSCOPY." Surface Review and Letters 01, no. 01 (June 1994): 89–96. http://dx.doi.org/10.1142/s0218625x94000114.

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Spin-polarized electron energy loss spectroscopy (SPEELS) probes the spin-dependent electron-hole pair excitation spectrum at surfaces. It is a very surface sensitive method for the detection of surface magnetization. Indirectly, information on surface magnetic moments is obtained. SPEELS is capable of resolving layer-by-layer antiferromagnetic order as found in 3d metal (Cr, Mn, V) films on Fe(100).

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5

Savaş, Ahmet Fevzi, and Ceyda Kocabaş. "Reducing surface heat loss in steam boilers." Open Chemistry 20, no. 1 (January 1, 2022): 1458–66. http://dx.doi.org/10.1515/chem-2022-0241.

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Abstract In this study, heat losses occurring on the outer surface of a steam boiler used in the distillation process in a textile company are discussed in detail. All surfaces of the boiler were scanned with a thermal camera to determine the non-insulated or poorly insulated areas. By drawing the schematic image of the boiler, the side surfaces, front cover, back cover, and parts of the smoke pipe were shown in different colors, and the temperature distributions in different parts of the boiler were revealed. Although most of the heat loss occurs on the side surfaces of the boiler, it was observed that these surfaces were already insulated. For this reason, a Pareto diagram was prepared according to the surface temperature to get an idea about where to start the improvement studies. Especially on the front and back cover surfaces, high-temperature values were measured and, it was determined that the heat loss on these surfaces was also at high levels. It was suggested that high-temperature surfaces should be covered with insulating jackets and pads, and sample applications were shown. The energy savings to be achieved and the payback period of the investment was revealed.

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6

Seo, J. M., D. S. Black, P. H. Holloway, and J. E. Rowe. "Angular resolved surface‐plasmon loss from Si(111) surfaces." Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films 6, no. 3 (May 1988): 1523–25. http://dx.doi.org/10.1116/1.575354.

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7

He, Jun, and F. D. Tappert. "High‐frequency surface bubble loss." Journal of the Acoustical Society of America 101, no. 5 (May 1997): 3196. http://dx.doi.org/10.1121/1.419213.

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8

Tantbirojn, Daranee, Antheunis Versluis, Maria R. Pintado, Ralph Delong, and Carol Dunn. "TOOTH SURFACE LOSS: Authors' response." Journal of the American Dental Association 143, no. 7 (July 2012): 730–32. http://dx.doi.org/10.14219/jada.archive.2012.0247.

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9

Lambon, M. A. "Semantic Loss without Surface Dyslexia." Neurocase 1, no. 4 (December 1, 1995): 363–70. http://dx.doi.org/10.1093/neucas/1.4.363.

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10

Lambon, M. A. "Semantic loss without surface dyslexia." Neurocase 1, no. 4 (December 1, 1995): 363a—370. http://dx.doi.org/10.1093/neucas/1.4.363-a.

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11

Kelleher, M., and K. Bishop. "Tooth surface loss: an overview." British Dental Journal 186, no. 2 (January 1999): 61–66. http://dx.doi.org/10.1038/sj.bdj.4800020a2.

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12

Davies, S. J., R. J. M. Gray, and A. J. E. Qualtrough. "Management of tooth surface loss." British Dental Journal 192, no. 1 (January 2002): 11–23. http://dx.doi.org/10.1038/sj.bdj.4801278.

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13

Lambon Ralph, Matthew A., Andrew W. Ellis, and Sue Franklin. "Semantic loss without surface dyslexia." Neurocase 1, no. 4 (October 1995): 363–69. http://dx.doi.org/10.1080/13554799508402380.

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14

Gernsbacher, Morton Ann. "Surface information loss in comprehension." Cognitive Psychology 17, no. 3 (July 1985): 324–63. http://dx.doi.org/10.1016/0010-0285(85)90012-x.

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15

Bazaliy, G., N. Oliinyk, and G. Ilnytska. "The effect of modification diamond nanopowders detonation synthesis to change their electrokinetic and electrophysical characteristics." Surface 12(27) (December 30, 2020): 169–78. http://dx.doi.org/10.15407/surface.2020.12.169.

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Анотація:

Development of methods for controlling the change in the functional cover and the energy composition of the surface of detonation synthesis diamond nanopowders is necessary to create stable suspensions and materials from them. The aim of this work is to study changes in the electrokinetic and electrophysical characteristics of the powder as a result of the modification of detonation synthesis diamond nanopowders using a liquid-phase thermochemical treatment. Diamond nanopowders of grades ASUD-75 - ASUD-99 with different sp2-hybridization carbon content, manufactured at the V.I. Bakul National Academy of Sciences of Ukraine from the product of detonation synthesis of diamond from the company "ALIT" (Zhytomyr) investigated. Diamond nanopowders of ASUD-90 grade after their modification by means of liquid-phase thermochemical treatment using: a melt of alkalis, a mixture of nitric and sulfuric acids, a mixture of chromic and sulfuric acids were investigated by electrophoresis using a device "Dzeta-potential-analizer" company "Mikromeritiks". Electrokinetic characteristics of diamond nanopowders: the magnitude and sign of the electrokinetic potential, electrophoretic mobility are determined. The methods were used to study the physicochemical characteristics of nanopowders: electrical resistivity, carbon content of sp2-hybridization, mass fraction of impurities in the form of an incombustible residue, and specific surface area. In this work, it was established by electrophoresis that the value of the electrokinetic potential and electrophoretic mobility of the powder decrease by 2-10 times with a decrease in the mass fraction of sp2-hybridization carbon from 23.6 to 0 wt%. Using the ASUD-90 nanopowder as an example, it is shown that the modification of the nanopowder by the liquid-phase method using thermochemical treatment with mixtures of oxidants leads to a decrease in the values of electrophoretic mobility by 1.1-7.5 times and electrokinetic potential by 1.1-7.3 times. It was found by dielectric measurement that the tangent of the dielectric loss angle of diamond nanopowders of grades ASUD-90 - ASUD-99 is in the range 0.3046 - 0.3146. Modification of the ASUD-90 grade nanopowder using a liquid-phase thermochemical treatment leads to a change in the interval of the dielectric loss tangent, namely 0.2450-0.3249. According to the degree of increase in the ratio of the dielectric loss tangent from 0% humidity to 100% humidity, the methods for modifying nanopowders can be arranged as follows: modifying using a melt of alkalis (ASUD-90-1 sample, S = 12.8%) <mixture of chromic and sulfuric acids (sample ASUD-90-3, S = 13.8%) <mixture of nitric and sulfuric acids (sample ASUD-90-2, S = 20.8 %).

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16

Jin, J., X. Wang, Y. Han, Y. Cai, Y. Cai, H. Wang, L. Zhu, L. Xu, L. Zhao, and Z. Li. "Combined beef thawing using response surface methodology." Czech Journal of Food Sciences 34, No. 6 (December 21, 2016): 547–53. http://dx.doi.org/10.17221/138/2016-cjfs.

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Based on four thawing methods (still air, still water, ultrasonic wave, and microwave) and single-factor tests, we established a four-factor three-level response surface methodology for a regression model (four factors: pH, drip loss rate, cooking loss rate, protein content). The optimal combined thawing method for beef rib-eye is: microwave thawing (35 s work/10 s stop, totally 170 s) until beef surfaces soften, then air thawing at 15°C until the beef centre temperature reaches –8°C, and finally ultrasonic thawing at 220 W until the beef centre temperature rises to 0°C. With this method, the drip loss rate is 1.9003%, cooking loss rate is 33.3997%, and protein content is 229.603 μg, which are not significantly different from the model-predicted theoretical results (P ≥ 0.05).

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17

Karpuz, Orhan, Muhammet Vefa AKPINAR, Hakan ASLAN, Muhammet ÇELİK, and Elif ÇİÇEK. "Friction Loss of Concrete Pavement Surface." Journal of Innovative Engineering and Natural Science 2, no. 2 (2022): 66–75. http://dx.doi.org/10.29228/jiens.62559.

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18

Schaich, Tobias, Anas Al Rawi, Trevor Morsman, and Mike Payne. "Dielectric-induced surface wave radiation loss." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2236 (April 2020): 20190859. http://dx.doi.org/10.1098/rspa.2019.0859.

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We investigate a model which shows how the introduction of a perturbing dielectric close to an electromagnetic surface wave leads to radiation away from the surface through the dielectric. This resembles a surface waveguide passing through a wall or being deployed underground. Our theory, which is based on the mode-matching technique, allows quantitative determination of losses from a bound surface wave mode up to the point of its complete extinction. For a surface wave supported by a coated, conducting sheet the attenuation due to the perturbing dielectric is calculated for a number of frequencies, permittivities of the perturbation and separations between the sheet and the perturbing dielectric. The accuracy of our results is verified by simulation of the system with a full-wave numerical solution. Finally, we report experimental data of perturbed surface waves on a cable, which are in qualitative agreement with our model.

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19

Boozer, Allen H. "Magnetic surface loss and electron runaway." Plasma Physics and Controlled Fusion 61, no. 2 (January 7, 2019): 024002. http://dx.doi.org/10.1088/1361-6587/aaf293.

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20

Kim, Myung-Ki, Seung Hoon Lee, Muhan Choi, Byeong-Hyeon Ahn, Namkyoo Park, Yong-Hee Lee, and Bumki Min. "Low-loss surface-plasmonic nanobeam cavities." Optics Express 18, no. 11 (May 11, 2010): 11089. http://dx.doi.org/10.1364/oe.18.011089.

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21

Krištof, J., P. Macko, and P. Veis. "Surface loss probability of atomic oxygen." Vacuum 86, no. 6 (January 2012): 614–19. http://dx.doi.org/10.1016/j.vacuum.2011.07.041.

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22

Clark, Cathy Ann. "An algorithm to predict surface loss." Journal of the Acoustical Society of America 127, no. 3 (March 2010): 1963. http://dx.doi.org/10.1121/1.3385019.

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23

HODAEI, MOHAMMAD, and KAMBIZ FARHANG. "EFFECT OF ROUGH SURFACE ASYMMETRY ON CONTACT ENERGY LOSS IN HIP IMPLANTS." Journal of Mechanics in Medicine and Biology 17, no. 01 (February 2017): 1750023. http://dx.doi.org/10.1142/s0219519417500233.

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Rough surface height distribution can be nonsymmetric, depending on the process of surface preparation. The prevalent processes for implant surface involve turning and milling, both resulting in surface height distributions of nonsymmetric nature. Asymmetry in a surface height distribution is manifested through a parameter known as skewness. Unlike Gaussian distribution, Weibull distribution permits characteristics such as skewness and kurtosis in data to be included in the mathematical description of a height distribution. This paper develops hip implant contact model based on Weibull distribution of surface heights. The elastic–plastic interaction of implant surfaces are considered as macroscopically spherical surfaces containing micron-scale roughness. Symmetric and asymmetric roughness height distribution are compared. The total contact force is related to the minimum mean surface separation of the contacting rough surfaces. The force is obtained using statistical integral function of the asperity heights over the possible region of interaction of the roughness of surfaces. Approximate equations are obtained that relate the contact force to the minimum mean surface separation explicitly. The approximate equations are used to derive hysteretic energy loss per load–unload sequence, contact frequency, and damping. It is shown that energy loss per cycle, contact frequency, and damping are lower for asymmetric surface roughness distribution.

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24

Vecchiotti, Andrea, Teresa J. Ryan, Joseph Vignola, and Diego Turo. "Modeling sea state induced atmospheric sound transmission loss." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A328. http://dx.doi.org/10.1121/10.0019025.

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This work presents a numerical study on atmospheric sound propagation over rough rigid surfaces. The intent is to simulate acoustic propagation over water. Methods to estimate sea state induced atmospheric sound transmission loss and relative uncertainties are evaluated. In previous studies, a flat surface with an equivalent impedance was used to account for the effect of surface roughness on sound transmission loss. Equivalent impedances were estimated based on time-domain numerical simulations of atmospheric sound propagation above pseudorandom sea surfaces coherent with a Pierson-Moskowitz spectra. Estimation of equivalent impedances using time- and frequency- domain approaches are compared for cases up to sea state 4. Acoustic excess attenuation due to propagation over a rough surface was predicted by the authors, in a previous work, by correcting the excess attenuation of a propagation over a flat, perfectly reflecting surface. The correction factor was frequency and sea state dependent and included an additional term to account for the uncertainties characteristic of different sea states. Excess attenuation predictions estimated using the equivalent impedance approach are compared with those obtained from the authors’ previous study. Implications of the use of these methods for source detectability determinations are discussed.

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25

Messal, O., A.-T. Vo, M. Fassenet, P. Mas, S. Buffat, and A. Kedous-Lebouc. "Advanced approach for static part of loss-surface iron loss model." Journal of Magnetism and Magnetic Materials 502 (May 2020): 166401. http://dx.doi.org/10.1016/j.jmmm.2020.166401.

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26

Swetaa A, Revathi Duraisamy, and Jessy P. "Reason for tooth material loss among FMR patients - A retrospective study." International Journal of Research in Pharmaceutical Sciences 11, SPL3 (October 31, 2020): 1855–60. http://dx.doi.org/10.26452/ijrps.v11ispl3.3555.

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Tooth wear is a general term describing the loss of dental hard tissues, from the surface of the teeth caused by factors other than dental caries, trauma and developmental disorders. Attrition, Abrasion and erosion usually cause alterations of the tooth surfaces and manifest as tooth wear. Tooth surface loss may be considered physiological or pathological. Physiological tooth surface loss occurs as a result of mastication and adjustment, which is required for the teeth to function correctly. Physiological tooth surface loss may also occur at interproximal tooth surfaces due to friction between the adjacent teeth. Inversely, pathological tooth surface loss represents unacceptable levels of dental hard tissue loss. It is characterized by abnormal destruction, which may require treatment. The aim was to assess the reason for tooth material loss among FMR diagnosis patients. A retrospective study sample of 65 cases was collected from DIAS(Dental Information Archiving Software). The data was converted into an excel sheet for tabulation and further statistical analysis were done in SPSS. The p-value was insignificant and the current study proves that the reason for tooth material loss is predominantly caused by attrition. Within the limits of the study, the reason for tooth material loss is due to attrition.

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27

Engelbrecht, Andries, and Robert Gouldie . "Fitness Landscape Analysis of Product Unit Neural Networks." Algorithms 17, no. 6 (June 4, 2024): 241. http://dx.doi.org/10.3390/a17060241.

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A fitness landscape analysis of the loss surfaces produced by product unit neural networks is performed in order to gain a better understanding of the impact of product units on the characteristics of the loss surfaces. The loss surface characteristics of product unit neural networks are then compared to the characteristics of loss surfaces produced by neural networks that make use of summation units. The failure of certain optimization algorithms in training product neural networks is explained through trends observed between loss surface characteristics and optimization algorithm performance. The paper shows that the loss surfaces of product unit neural networks have extremely large gradients with many deep ravines and valleys, which explains why gradient-based optimization algorithms fail at training these neural networks.

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28

Yang, Jinling, Takahito Ono, and Masayoshi Esashi. "Investigating surface stress: Surface loss in ultrathin single-crystal silicon cantilevers." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 19, no. 2 (2001): 551. http://dx.doi.org/10.1116/1.1347040.

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29

Choi, Y. S., J. J. Kim, and S. Miyajima. "Diffusive loss of surface adatoms and surface enhanced Raman scattering intensity." Chemical Physics Letters 255, no. 1-3 (June 1996): 45–48. http://dx.doi.org/10.1016/0009-2614(96)00345-4.

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30

Bancroft, Randy. "Microstrip Antenna Efficiency and Surface Wave Loss." IEEE Transactions on Antennas and Propagation 69, no. 8 (August 2021): 5032–35. http://dx.doi.org/10.1109/tap.2021.3060116.

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31

Smith, E., R. Gordon, C. Bourque, A. Campbell, S. Génermont, P. Rochette, and M. Mkhabela. "Simulating ammonia loss from surface applied manure." Canadian Journal of Soil Science 89, no. 3 (May 2, 2009): 357–67. http://dx.doi.org/10.4141/cjss08047.

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The land spreading of manure can result in significant nitrogen (N) losses to the atmosphere through ammonia (NH3) volatilization. It is estimated that agricultural activities, including manure spreading contribute approximately 50% of the total global NH3 emissions. Computer simulation models have been developed in an attempt to predict NH3 losses resulting from manure spreading. Few models have been validated with success and no validation has been completed for conditions found in eastern Canada. The mechanistic model Volt’Air was implemented and tested to estimate NH3 emissions using field-based wind tunnel data from three field locations in eastern Canada. The model was validated using data from 27 wind tunnel trials, which measured NH3 loss over 5-19 d. Sensitivity analysis revealed that Volt’Air was most sensitive to pH. Good overall agreement was observed between measured results and model simulations over 5-19 d (R2 = 0.91, RMSE = 2.9 kg ha-1). Short-term flux simulations (kg ha-1 h-1) within the first 24 h after spreading were underestimated by 29.5% and fluxes on subsequent days were slightly underestimated by 3.7%. Error with Volt’Air appears to be largely confined to the first day following manure application. Volt’Air offers potential for predicting NH3 losses (i.e., 5-19 d) from manure application within eastern Canada. Improving the simulation of short-term pH changes, however, may result in enhanced overall model performance.Key words: Ammonia volatilization, flux, mechanistic model, swine manure, wind tunnels

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32

A. Algadhi, Abdulaziz. "Tooth Surface Loss: Definitions, Prevention and Diagnosis." Saudi Journal of Oral and Dental Research 6, no. 3 (March 16, 2021): 129–33. http://dx.doi.org/10.36348/sjodr.2021.v06i03.005.

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33

Mahmood, Kazam, and Asim Mahmood. "A student guide to tooth surface loss." BDJ Student 29, no. 1 (January 31, 2022): 40–43. http://dx.doi.org/10.1038/s41406-021-0269-4.

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34

Borselli, M., T. J. Johnson, C. P. Michael, M. D. Henry, and O. Painter. "Surface encapsulation for low-loss silicon photonics." Applied Physics Letters 91, no. 13 (September 24, 2007): 131117. http://dx.doi.org/10.1063/1.2793820.

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35

Warreth, Abdulhadi, Eyas Abuhijleh, Mohammad Adel Almaghribi, Ghanim Mahwal, and Ali Ashawish. "Tooth surface loss: A review of literature." Saudi Dental Journal 32, no. 2 (February 2020): 53–60. http://dx.doi.org/10.1016/j.sdentj.2019.09.004.

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36

Mu, Jian-Wei, and Wei-Ping Huang. "A Low-Loss Surface Plasmonic Bragg Grating." Journal of Lightwave Technology 27, no. 4 (February 2009): 436–39. http://dx.doi.org/10.1109/jlt.2008.928961.

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37

Konečná, Andrea, Tomáš Neuman, Javier Aizpurua, and Rainer Hillenbrand. "Surface-Enhanced Molecular Electron Energy Loss Spectroscopy." ACS Nano 12, no. 5 (April 11, 2018): 4775–86. http://dx.doi.org/10.1021/acsnano.8b01481.

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38

Zavesky, Richard R., and Alvin S. Goodman. "WATER-SURFACE PROFILES WITHOUT ENERGY LOSS COEFFICIENTS." Journal of the American Water Resources Association 24, no. 6 (December 1988): 1281–87. http://dx.doi.org/10.1111/j.1752-1688.1988.tb03048.x.

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39

Jasinski, Joseph M. "Surface loss coefficients for the silyl radical." Journal of Physical Chemistry 97, no. 29 (July 1993): 7385–87. http://dx.doi.org/10.1021/j100131a002.

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40

Ramin, D., B. Weidenfeller, and W. Riehemann. "Loss improvement in Finemet by surface modification." Materials Science and Engineering: A 226-228 (June 1997): 590–93. http://dx.doi.org/10.1016/s0921-5093(96)10692-4.

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41

Libo, Zhou, Zou Han, Ji Chongping, Wang Wei, and Jian Yongxiao. "The Scandinavia ozone loss and surface heating." Advances in Atmospheric Sciences 18, no. 3 (May 2001): 454–66. http://dx.doi.org/10.1007/bf02919324.

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42

Al-Ateeqi, Hadeel. "Tooth Surface Loss due to Dental Erosion." Dental News 19, no. 1 (March 2013): 18–21. http://dx.doi.org/10.12816/0003005.

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43

Almog, Y. "The loss of stability of surface superconductivity." Journal of Mathematical Physics 45, no. 7 (July 2004): 2815–32. http://dx.doi.org/10.1063/1.1755859.

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44

Juaristi, J. I., and F. J. García de Abajo. "Energy loss in grazing proton-surface collisions." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 90, no. 1-4 (May 1994): 252–56. http://dx.doi.org/10.1016/0168-583x(94)95550-6.

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45

Xie, Yong Gang, and Dong Ya Shen. "Simulation Studies in Body Surface to Body Surface Channel Models." Applied Mechanics and Materials 556-562 (May 2014): 4689–92. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4689.

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The study of the characteristics of WBAN channel model is crucial, due to the fact that it is an important step to design wireless body area network (WBAN). WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface to body surface circumstance, simulated the path loss models on 400, 600 and 800MHz and studied the statistic characteristics of the path loss models. Finally, we used the Guass model to fit the statistic results of the path loss and obtained coefficients of Gauss model .

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Hopf, C., T. Schwarz-Selinger, W. Jacob, and A. von Keudell. "Surface loss probabilities of hydrocarbon radicals on amorphous hydrogenated carbon film surfaces." Journal of Applied Physics 87, no. 6 (March 15, 2000): 2719–25. http://dx.doi.org/10.1063/1.372246.

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Mondio, G., F. Neri, M. Stöcker, T. Janssens, G. R. Castro, and K. Wandelt. "Surface chemical sensitivity of reflection electron energy loss spectra from metal surfaces." Surface Science Letters 251-252 (July 1991): A322. http://dx.doi.org/10.1016/0167-2584(91)90863-m.

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Mondio, G., F. Neri, M. Stöcker, T. Janssens, G. R. Castro, and K. Wandelt. "Surface chemical sensitivity of reflection electron energy loss spectra from metal surfaces." Surface Science 251-252 (July 1991): 243–47. http://dx.doi.org/10.1016/0039-6028(91)90990-a.

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Koodaryan, Roodabeh, and Ali Hafezeqoran. "Evaluation of Implant Collar Surfaces for Marginal Bone Loss: A Systematic Review and Meta-Analysis." BioMed Research International 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/4987526.

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Background. It is important to understand the influence of different collar designs on peri-implant marginal bone loss, especially in the critical area.Objectives. The purpose of the present systematic review and meta-analysis was to compare dental implants with different collar surfaces, evaluating marginal bone loss and survival rates of implants.Methods. Eligibility criteria included clinical human studies, randomized controlled trials, and prospective and retrospective studies, which evaluated dental implants with different collar surface in the same study.Results. Twelve articles were included, with a total of 492 machined, 319 rough-surfaced, and 352 rough-surfaced microthreaded neck implants. There was less marginal bone loss at implants with rough-surfaced and rough-surfaced microthreaded neck than at machined-neck implants (difference in means: 0.321, 95% CI: 0.149 to 0.493;p<0.01).Conclusion. Rough and rough-surfaced microthreaded implants are considered a predictable treatment for preserving early marginal bone loss.

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Shimokawa, CAK, M. Giannini, CB André, BO Sahadi, JJ Faraoni, RG Palma-Dibb, CJ Soares, and RB Price. "In Vitro Evaluation of Surface Properties and Wear Resistance of Conventional and Bulk-fill Resin-based Composites After Brushing With a Dentifrice." Operative Dentistry 44, no. 6 (November 1, 2019): 637–47. http://dx.doi.org/10.2341/18-200-l.

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SUMMARY Objectives: This study evaluated the effect of toothbrushing with a dentifrice on gloss, roughness profile, surface roughness, and wear of conventional and bulk-fill resin-based composites. Methods and Materials: Gloss and surface roughness of resin-based composites (RBCs; Admira Fusion X-tra, Aura Bulk Fill, Filtek Bulk Fill Flowable, Filtek Bulk Fill Posterior Restorative, Filtek Supreme Ultra, Herculite Ultra, Mosaic Enamel, SDR flow+, Sonic Fill 2, Tetric EvoFlow Bulk Fill and Tetric EvoCeram Bulk Fill) were analyzed before and after brushing; the roughness profile and wear were also determined after toothbrushing. Representative three-dimensional images of the surface loss and images comparing the unbrushed and brushed surfaces were also compared. Analysis of variance and Tukey post hoc tests were applied (α=0.05) to the gloss, surface roughness, roughness profile, and surface loss data. Pearson's correlation test was used to determine the correlation between gloss and surface roughness, surface loss and percentage of gloss decrease after brushing, and surface loss and surface roughness after brushing. Results: For all RBCs tested after 20,000 brushing cycles, the gloss was reduced and the surface roughness increased (p<0.05). However, the roughness profile and the amount of surface loss were dependent on the RBC brand. Admira Fusion X-tra, Aura, Tetric EvoCeram Bulk Fill, and Tetric EvoFlow Bulk Fill showed the deepest areas of wear (p<0.05). A significant negative correlation was found between gloss and surface roughness, and a weak correlation was found between the decrease in gloss and the extent of surface loss, and any increase in surface roughness and the surface loss. Conclusions: Toothbrushing with a dentifrice reduced the gloss, increased the surface roughness, and caused loss at the surface of all the RBCs tested. Considering all the properties tested, Mosaic Enamel exhibited excellent gloss retention and a low roughness profile and wear, while Admira Fusion X-tra exhibited the greatest decrease in gloss, the highest roughness profile, and the most wear.

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