Oral health education (advice and training) for people with seriousmental illness (Review)

This article will be made Open Access on the publisher's webpage (follow the DOI link) on the 8 September 2016.Background People with serious mental illness not only experience an erosion of functioning in day-to-day life over a protracted period of time, but evidence also suggests that they have a greater risk of experiencing oral disease and greater oral treatment needs than the general population. Poor oral hygiene has been linked to coronary heart disease, diabetes, and respiratory disease and impacts on quality of life, affecting everyday functioning such as eating, comfort, appearance, social acceptance, and self esteem. Oral health, however, is often not seen as a priority in people suffering with serious mental illness. Objectives To review the effects of oral health education (advice and training) with or without monitoring for people with serious mental illness. Search methods We searched the Cochrane Schizophrenia Group’s Trials Register (5November 2015), which is based on regular searches ofMEDLINE, EMBASE, CINAHL, BIOSIS, AMED, PubMed, PsycINFO, and clinical trials registries. There are no language, date, document type, or publication status limitations for inclusion of records in the register. Selection criteria All randomised clinical trials focusing on oral health education (advice and training) with or without monitoring for people with serious mental illness. Data collection and analysis We extracted data independently. For binary outcomes, we calculated risk ratio (RR) and its 95% confidence interval (CI), on an intention-to-treat basis. For continuous data, we estimated the mean difference (MD) between groups and its 95% CI. We employed a fixed-effect model for analyses. We assessed risk of bias for included studies and created ’Summary of findings’ tables using GRADE. Main results We included three randomised controlled trials (RCTs) involving 1358 participants. None of the studies provided useable data for the key outcomes of not having seen a dentist in the past year, not brushing teeth twice a day, chronic pain, clinically important adverse events, and service use. Data for leaving the study early and change in plaque index scores were provided. Oral health education compared with standard care When ’oral health education’ was compared with ’standard care’, there was no clear difference between the groups for numbers leaving the study early (1 RCT, n = 50, RR 1.67, 95%CI 0.45 to 6.24, moderate-quality evidence), while for dental state: no clinically important change in plaque index, an effect was found. Although this was statistically significant and favoured the intervention group, it is unclear if it was clinically important (1 RCT, n = 40, MD - 0.50 95% CI - 0.62 to - 0.38, very low quality evidence).These limited data may have implications regarding improvement in oral hygiene. Motivational interview + oral health education compared with oral health education Similarly, when ’motivational interview + oral health education’ was compared with ’oral health education’, there was no clear difference for the outcome of leaving the study early (1 RCT, n = 60 RR 3.00, 95% CI 0.33 to 27.23, moderate-quality evidence), while for dental state: no clinically important change in plaque index, an effect favouring the intervention group was found (1 RCT, n = 56, MD - 0.60 95% CI - 1.02 to - 0.18 very low-quality evidence). These limited, clinically opaque data may or may not have implications regarding improvement in oral hygiene. Monitoring compared with no monitoring For this comparison, only data for leaving the study early were available. We found a difference in numbers leaving early, favouring the ’no monitoring’ group (1 RCT, n = 1682, RR 1.07, 95% CI 1.00 to 1.14, moderate-quality evidence). However, these data are problematic. The control denominator is implied and not clear, and follow-up did not depend only on individual participants, but also on professional caregivers and organisations - the latter changing frequently resulting in poor follow-up, but not a good reflection of the acceptability of the monitoring to patients. For this comparison, no data were available for ’no clinically important change in plaque index’. Authors’ conclusions We found no evidence from trials that oral health advice helps people with serious mental illness in terms of clinically meaningful outcomes. It makes sense to follow guidelines and recommendations such as those put forward by the British Society for Disability and Oral Health working group until better evidence is generated. Pioneerin

Does co-transcriptional regulation of alternative splicing mediate plant stress responses?

Plants display exquisite control over gene expression to elicit appropriate responses under normal and stress conditions. Alternative splicing (AS) of pre-mRNAs, a process that generates two or more transcripts from multi-exon genes, adds another layer of regulation to fine-tune condition-specific gene expression in animals and plants. However, exactly how plants control splice isoform ratios and the timing of this regulation in response to environmental signals remains elusive. In mammals, recent evidence indicate that epigenetic and epitranscriptome changes, such as DNA methylation, chromatin modifications and RNA methylation, regulate RNA polymerase II processivity, co-transcriptional splicing, and stability and translation efficiency of splice isoforms. In plants, the role of epigenetic modifications in regulating transcription rate and mRNA abundance under stress is beginning to emerge. However, the mechanisms by which epigenetic and epitranscriptomic modifications regulate AS and translation efficiency require further research. Dynamic changes in the chromatin landscape in response to stress may provide a scaffold around which gene expression, AS and translation are orchestrated. Finally, we discuss CRISPR/Cas-based strategies for engineering chromatin architecture to manipulate AS patterns (or splice isoforms levels) to obtain insight into the epigenetic regulation of AS

Comparative study of variations in quantum approximate optimization algorithms for the Traveling Salesman Problem

The Traveling Salesman Problem (TSP) is one of the most often-used NP-Hard problems in computer science to study the effectiveness of computing models and hardware platforms. In this regard, it is also heavily used as a vehicle to study the feasibility of the quantum computing paradigm for this class of problems. In this paper, we tackle the TSP using the quantum approximate optimization algorithm (QAOA) approach by formulating it as an optimization problem. By adopting an improved qubit encoding strategy and a layerwise learning optimization protocol, we present numerical results obtained from the gate-based digital quantum simulator, specifically targeting TSP instances with 3, 4, and 5 cities. We focus on the evaluations of three distinctive QAOA mixer designs, considering their performances in terms of numerical accuracy and optimization cost. Notably, we find a well-balanced QAOA mixer design exhibits more promising potential for gate-based simulators and realistic quantum devices in the long run, an observation further supported by our noise model simulations. Furthermore, we investigate the sensitivity of the simulations to the TSP graph. Overall, our simulation results show the digital quantum simulation of problem-inspired ansatz is a successful candidate for finding optimal TSP solutions.Comment: 18 pages, 6 figures, 3 table

Automatic classification of power quality disturbances: a review

The development of intelligent power quality (PQ) disturbances classification and analysis tools exploited various digital signal-processing techniques to extract important features from the PQ signals. The purpose of this paper is to present a comprehensive review and discussion of the advanced tools for the automatic classification of PQ disturbances. The digital signal-processing tools applied for feature extraction include Fourier-transform, Wavelet-transform, Stockwell-transform etc. For the classification of PQ disturbances, the artificial intelligence techniques such as artificial neural networks, fuzzy logic and support vector machine are reviewed here. A large number of features used as inputs to the classifiers may affect the accuracy rate and requires a large memory space. The optimization techniques have been used in literature for optimal feature selection, which include genetic algorithm, simulated annealing, particle swarm optimization and ant colony optimization. An extensive review provides to the researchers a clear perspective on various techniques of PQ disturbances classification

A review of size and geometrical factors influencing resonant frequencies in metamaterials

Although metamaterials and so-called left-handed media have originated from theoretical considerations, it is only by their practical fabrication and the measurement of their properties that they have gained credibility and can fulfil the potential of their predicted properties. In this review we consider some of the more generally applicable fabrication methods and changes in geometry as they have progressed, exhibiting resonant frequencies ranging from radio waves to the visible optical region

Low-loss slot waveguides with silicon (111) surfaces realized using anisotropic wet etching

We demonstrate low-loss slot waveguides on silicon-on-insulator (SOI) platform. Waveguides oriented along the (11-2) direction on the Si (110) plane were first fabricated by a standard e-beam lithography and dry etching process. A TMAH based anisotropic wet etching technique was then used to remove any residual side wall roughness. Using this fabrication technique propagation loss as low as 3.7dB/cm was realized in silicon slot waveguide for wavelengths near 1550nm. We also realized low propagation loss of 1dB/cm for silicon strip waveguides

USE OF DIOSGENIN, YAMOGENIN, TIGOGENIN AND NEOTIGOGENIN FOR TREATMENT OF HYPERLIPIDEMIA BY INHIBITING CHOLESTEROL ABSORPTION IN GIT

Objective: High plasma lipids interact with free radicals in human body leading to develop coronary artery disease.  We in this study have compared hypolipidemic effects of Fenugreek, Curcuma Longa, and lemon. Methods: Study was conducted at Jinnah Hospital Lahore-Pakistan from January 2018 to May 2018. Ninety hyperlipidemic patients of age group 19 to 70 were included in the study. Exclusion criteria were diabetic, alcoholic additives, hypertensive patients and those whose kidney or liver functions were impaired. Consent was taken from all participants. Their base line lipid profile was taken in biochemistry laboratory of the hospital. They were divided in three groups i.e. 30 patients in each group. Group-I was advised to take 500 mg of Curcuma Longa (haldi) mixed in fresh milk without cream, thrice daily for two months. Group-II patients were advised to take 100 grams of Fenugreek leaves mixed with salad in each meal (thrice daily) for the period of two months. Group-III patients were advised to take 40 ml of fresh lemon juice mixed with 40 ml mineral water thrice daily for two months. They all were advised not to take heavy meal rich with any type of fat like junk food etc. One hour daily brisk walk was advised to all participants. 15 days follow up visit was scheduled for them. After two months their lipid profile was re-determined. Results: When results were compiled and statistically analyzed by applying paired ‘t’ test, it revealed that Curcuma Longa decreased total cholesterol, TG, LDL cholesterol 16.10, 20.01, and 17.59 mg/dl respectively. Fenugreek decreased total cholesterol, TGs, and LDL cholesterol 14.70, 17.33, and 17.06 mg/dl respectively. Lemon in two months therapy decreased total cholesterol, TGs, and LDL cholesterol 15.45, 10.13, and 11.97 mg/dl respectively. None of the above mentioned herbs raised HDL cholesterol significantly. Conclusion: It was concluded from this research work that Curcuma Longa, Fenugreek leaves and Lemon are mild to moderately effective hypolipidemic herbs to lower total plasma cholesterol, triglycerides, and LDL cholesterol but have no potential to raise HDL cholesterol when analyzed biostatistically.                  Peer Review History: Received 28 March 2019;   Revised 15 April; Accepted 28 April, Available online 15 May 2019 Academic Editor:  Dr. Iman Muhammad Higazy, National Research Center, Egypt, [email protected] UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency.  Received file:                Reviewer's Comments: Average Peer review marks at initial stage: 6.5/10 Average Peer review marks at publication stage: 8.5/10 Reviewer(s) detail: Dina Abd Elfattah Eldakhs, Pharos university (PUA), Egypt,  [email protected]  Dr. George Zhu, Tehran University of Medical Sciences, Tehran, Iran, [email protected] Similar Articles: ANTIDIABETIC AND ANTIHYPERLIPIDEMIC ACTIVITY OF DRACAENA CINNABARI BALF. RESIN ETHANOLIC EXTRACT OF SOQATRA ISLAND IN EXPERIMENTAL ANIMALS HOW DO VITAMIN AND PLANT SEEDS WORK AS HYPOLIPIDEMIC AGENTS