Is periodontal phenotype modification therapy beneficial for patients receiving orthodontic treatment? An American Academy of Periodontology best evidence review

BackgroundOrthodontic treatment can greatly impact the periodontium, especially in dentitions with a thin periodontal phenotype. Orthodontic tooth movement can result into iatrogenic sequelae to these vulnerable anatomic conditions, such as development and exacerbation of bony dehiscence or fenestration defects, which can manifest loss of periodontal support and gingival recession (GR). This systematic review aimed to investigate whether periodontal phenotype modification therapy (PhMT) involving hard tissue augmentation (PhMT- b) or soft tissue augmentation (PhMT- s) has clinical benefits for patients undergoing orthodontic treatment.MethodsAn electronic search was performed in two major databases for journals published in English language from January 1975 to January 2019 and a hand search of printed journals was also performed to identify human clinical trials reporting clinical and radiographic outcomes of patients receiving orthodontic treatment with or without hard and soft tissue augmentation procedures. Data were extracted and organized into tables for qualitative assessment.ResultsEight studies were identified evaluating the outcomes of PhMT in patients undergoing orthodontic therapy. Six studies evaluated patients receiving PhMT- b via corticotomy- assisted orthodontic therapy (CAOT) and simultaneous bone augmentation while the other two received PhMT- s before tooth movement. No studies investigated PhMT- b alone without CAOT and most studies focused on the mandibular anterior decompensation movements. There was high heterogeneity in the study design and inconsistency of the reported outcomes; therefore, a meta- analysis was not performed. Evidence at this moment supports CAOT with hard tissue augmentation accelerated tooth movement. However, only two studies provided direct comparison to support that CAOT with PhMT- b reduced the overall treatment time compared with conventional orthodontic treatment. No periodontal complications or evidence of severe root resorption were reported for both groups. Four studies provided radiographic assessment of the PhMT- b and demonstrated increased radiographic density or thicker facial bone after the treatment. Two studies reported an expanded tooth movement. One study reported an increase in keratinized tissue width post- CAOT plus PhMT- b, while another study with a 10- year follow- up showed a lower degree of relapse using the mandibular irregularity index when compared with conventional tooth movement alone.Two studies examined the effect of PhMT- s before orthodontic treatment. Unfortunately, no conclusions can be drawn because of the limited number of studies with contradicting outcomes.ConclusionsWithin the limited studies included in this systematic review, PhMT- b via particulate bone grafting together with CAOT may provide clinical benefits such as modifying periodontal phenotype, maintaining or enhancing facial bone thickness, accelerating tooth movement, expanding the scope of safe tooth movement for patients undergoing orthodontic tooth movement. The benefits of PhMT- s alone for orthodontic treatment remain undetermined due to limited studies available. However, PhMT- b appears promising and with many potential benefits for patients undergoing orthodontic tooth movement. There is a need for a higher quality of randomized controlled trials or case control studies with longer follow- up to investigate the effects of different grafting materials and surgical sites other than mandibular anterior region.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154653/1/jper10457.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154653/2/jper10457_am.pd

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Fabrication of multianalyte CeO2 nanograin electrolyte–insulator–semiconductor biosensors by using CF4 plasma treatment

Multianalyte CeO2 biosensors have been demonstrated to detect pH, glucose, and urine concentrations. To enhance the multianalyte sensing capability of these biosensors, CF4 plasma treatment was applied to create nanograin structures on the CeO2 membrane surface and thereby increase the contact surface area. Multiple material analyses indicated that crystallization or grainization caused by the incorporation of flourine atoms during plasma treatment might be related to the formation of the nanograins. Because of the changes in surface morphology and crystalline structures, the multianalyte sensing performance was considerably enhanced. Multianalyte CeO2 nanograin electrolyte–insulator–semiconductor biosensors exhibit potential for use in future biomedical sensing device applications

IMECE2010-39672 Numerical Analysis of Liquid Water Droplets Removal in Gas Channels of a PEM Fuel Cell

ABSTRACT The present study is concerned with the dynamic behavior of the liquid water droplets in the water removal process in the serpentine channels of a PEM fuel cell based on computational fluid dynamic (CFD) simulation. The volume of fluid (VOF) model is adopted to trace the interface between the liquid and the gas phases such that the motion of the liquid droplets can be observed. Effects of the incoming velocity are evaluated. In addition, the surface hydrophobic properties are influential to the droplets motion; therefore, the contact angle of the liquid droplet attached on the channel wall has been varied. In addition, the orientation of the bipolar plate is regarded as another important parameter in the present study. Results show that among these parameters considered, the incoming flow velocity and the contact angle are two key parameters which greatly affect the dynamic behavior of the liquid droplets. The liquid droplets attached on the wall of the bipolar plate can be removed by the gas flow only when the contact angle or the incoming flow velocity is sufficiently high

Effects of Domain Selection on Singular-Value-Decomposition Based Statistical Downscaling of Monthly Rainfall Accumulation in Southern Taiwan

A singular-value-decomposition (SVD) statistical downscaling technique was developed for monthly rainfall over southern Taiwan. The statistical model was applied to seven different general circulation models. Seven different geographical domains for the large-scale atmospheric predictors were tested and their effects on rainfall projections were evaluated. Because different climate models indicate different future rainfall projections, a multi-model ensemble approach was applied to provide best guess estimates. Using the multi-model ensemble, and a range of metrics, it was found that the different predictor geographical domains had little influence on the projected monthly rainfalls. Two emission climate change scenarios (A1B and B1) were used to project the future rainfalls for the period from 2010 to 2045 across southern Taiwan. Overall, future rainfall shows an increasing trend during the May-to-October wet season and a decreasing trend during the November-to-April dry season

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results

In this paper we present the multilingual language model BLOOM-zh that features enhanced support for Traditional Chinese. BLOOM-zh has its origins in the open-source BLOOM models presented by BigScience in 2022. Starting from released models, we extended the pre-training of BLOOM by additional 7.4 billion tokens in Traditional Chinese and English covering a variety of domains such as news articles, books, encyclopedias, educational materials as well as spoken language. In order to show the properties of BLOOM-zh, both existing and newly created benchmark scenarios are used for evaluating the performance. BLOOM-zh outperforms its predecessor on most Traditional Chinese benchmarks while maintaining its English capability. We release all our models to the research community

Pioglitazone, a PPAR-γ Activator, Stimulates BKCa but Suppresses IKM in Hippocampal Neurons

Pioglitazone (PIO), a thiazolidinedone, was reported to stimulate peroxisome proliferator-activated receptor-γ (PPAR-γ) with anti-inflammatory, anti-proliferative, anti-diabetic, and antidepressive activities. However, whether this compound exerts any perturbations on Ca2+-activated K+ and M-type K+ currents in central neurons remains largely unresolved. In this study, we investigated the effects of PIO on these potassium currents in hippocampal neurons (mHippoE-14). In whole-cell current recordings, the presence of PIO (10 μM) increased the amplitude of Ca2+-activated K+ current [IK(Ca)] in mHippoE-14 cells. PIO-induced stimulation of IK(Ca) observed in these cells was reversed by subsequent addition of paxilline, yet not by TRAM-39 or apamin. In inside-out current recordings, PIO applied to the bath concentration-dependently increased the activity of large-conductance Ca2+-activated K+ (BKCa) channels with an EC50 value of 7.6 μM. Its activation of BKCa channels in mHippoE-14 cells was voltage-dependent and accompanied by both a lengthening in mean open time and a shortening in slow component of mean closed time. The activation curve of BKCa channels after addition of PIO was shifted to less depolarized potential without any change in the gating charge. PIO also suppressed the amplitude of M-type K+ currents inherently in mHippoE-14 neurons. Taken together, in addition to its agonistic action on PPAR-γ, PIO-induced perturbation of these potassium channels may be responsible for its widely pharmacological actions on hippocampal neurons