Hybrid treatment of varied orthodontic appliances for a patient with skeletal class II and temporomandibular joint disorders:A case report and review of literature

BACKGROUND The relation between orthodontic treatment and temporomandibular disorders(TMDs)is under debate;the management of TMD during orthodontic treatment has always been a challenge.If TMD symptoms occur during orthodontic treatment,an immediate pause of orthodontic adjustments is recommended;the treatment can resume when the symptoms are managed and stabilized.CASE SUMMARY This case report presents a patient(26-year-old,female)with angle class I,skeletal class II and TMDs.The treatment was a hybrid of clear aligners,fixed appliances and temporary anchorage devices(TADs).After 3 mo resting and treatment on her TMD,the patient’s TMD symptom alleviated,but her anterior occlusion displayed deep overbite.Therefore,the fixed appliances with TAD were used to correct the anterior deep-bite and level maxillary and mandibular deep curves.After the levelling,the patient showed dual bite with centric relation and maximum intercuspation discrepancy on her occlusion.After careful examination of temporomandibular joints(TMJ)position,the stable bite splint and Invisible Mandibular Advancement appliance were used to reconstruct her occlusion.Eventually,the improved facial appearance and relatively stable occlusion were achieved.The 1-year follow-up records showed there was no obvious change in TMJ morphology,and her occlusion was stable.CONCLUSION TMD screening and monitoring is of great clinical importance in the TMD susceptible patients.Hybrid treatment with clear aligners and fixed appliances and TADs is an effective treatment modality for the complex cases.

Novel Fractal-Based Features for Low-Power Appliances in Non-Intrusive Load Monitoring

Non-intrusive load monitoring is a method that disaggregates the overall energy consumption of a building to estimate the electric power usage and operating status of each appliance individually.Prior studies have mostly concentrated on the identification of high-power appliances like HVAC systems while overlooking the existence of low-power appliances.Low-power consumer appliances have comparable power consumption patterns,which can complicate the detection task and can be mistaken as noise.This research tackles the problem of classification of low-power appliances and uses turn-on current transients to extract novel features and develop unique appliance signatures.A hybrid feature extraction method based on mono-fractal and multi-fractal analysis is proposed for identifying low-power appliances.Fractal dimension,Hurst exponent,multifractal spectrum and the Hölder exponents of switching current transient signals are extracted to develop various‘turn-on’appliance signatures for classification.Four classifiers,i.e.,deep neural network,support vector machine,decision trees,and K-nearest neighbours have been optimized using Bayesian optimization and trained using the extracted features.The simulated results showed that the proposed method consistently outperforms state-of-the-art feature extraction methods across all optimized classifiers,achieving an accuracy of up to 96%in classifying low-power appliances.

Effects and Predictions of Oral Appliances in Obstructive Sleep Apnea

Since April 2004, the Asahi University Medical and Dental Center (hereinafter referred to as our center) has been providing oral appliances (hereinafter referred to as OA) to treat patients diagnosed with obstructive sleep apnea. The effects of using the OA and progress of 71 patients who received treatment at our center by wearing OA from March 2005 to the end of March 2016 were examined through questionnaires sent by physical mail. In 21 of 24 patients who underwent polysomnography after wearing OA, the apnea-hypopnea index (hereinafter referred to as AHI) significantly decreased after wearing OA (9.44 ± 10.37) compared to that before wearing OA (24.02 ± 13.57) (p = 8.7 × 10-8). The results showed that for patients who continuously use OA, it is necessary to have sound sleep/sleep soundly;further, the patients experienced a decrease in snoring when wearing OA, with only a few side effects on the temporomandibular joints and teeth. In addition, the closer the distance from the plane of the lower margin of the mandible to the hyoid bone after wearing OA, the more likely it was for the AHI to decrease, which suggests that wearing OA contributes to the prediction of therapeutic effects.

Multi-objective reconfigurable production line scheduling for smart home appliances

In a typical discrete manufacturing process,a new type of reconfigurable production line is introduced,which aims to help small-and mid-size enterprises to improve machine utilization and reduce production cost.In order to effectively handle the production scheduling problem for the manufacturing system,an improved multi-objective particle swarm optimization algorithm based on Brownian motion(MOPSO-BM)is proposed.Since the existing MOPSO algorithms are easily stuck in the local optimum,the global search ability of the proposed method is enhanced based on the random motion mechanism of the BM.To further strengthen the global search capacity,a strategy of fitting the inertia weight with the piecewise Gaussian cumulative distribution function(GCDF)is included,which helps to maintain an excellent convergence rate of the algorithm.Based on the commonly used indicators generational distance(GD)and hypervolume(HV),we compare the MOPSO-BM with several other latest algorithms on the benchmark functions,and it shows a better overall performance.Furthermore,for a real reconfigurable production line of smart home appliances,three algorithms,namely non-dominated sorting genetic algorithm-II(NSGA-II),decomposition-based MOPSO(dMOPSO)and MOPSO-BM,are applied to tackle the scheduling problem.It is demonstrated that MOPSO-BM outperforms the others in terms of convergence rate and quality of solutions.

Research on the sales channels of the household appliances market

Chinese traditional sales channels are seriously attacked by the new ones. Household appliances industry will realize the specialized divisions of. development, manufacture, sale and services completely. The model of sales channel in marketing is set as the core of this research; the merits and demerits of different sales channels are analyzed; the complicated selective relationship and the conflicts among the manufacturer, middlemen, and ultimate consumers, and the solutions to present multi-channels market and the developments of the sales channels are elaborated in an overall view; the opinion that the only way to develop this industry is raised to establish the competitive sales channels. The aim is to let local household appliances industry use the natural merits to build up a suitable channel rapidly and efficiently, and to speed up the self development and oeffection.

Distributed demand side management via smart appliances contributing to frequency control

Nowadays renewable energy has become a trend for energy production but its variable nature has made balancing of demand and supply of the power grid difficult. Dynamic demand management using smart appliances is proposed to serve as a way that part of the regulation burden of balancing demand and supply is shifted to the demand side. However, if all appliances respond to the same frequency deviation, they may start to synchronize, causing large power overshoots and instability of the power grid. Therefore, the idea of implementing randomness into the frequency control of the appliances is proposed and this is what we call a stochastic approach. Simulators are built from scratch to model both scenarios. The effect of synchronization is analyzed and the parameters that can affect the synchronization are investigated. It has been found that the larger the contribution from the smart appliances to the power grid, the easier and faster the synchronization takes place. The stochastic approach solves the problem of synchronization and averages out the large power overshoot. However, the overall performance of stochastic operations is unacceptable due to the randomness in the operation though the mean and variance are as expected. More advanced feedback policies and schemes may be designed to achieve a better performance.

Development of Cr-free anti-fingerprint hot-dip galvanized sheet for household appliances

China has become the maximum household appliances manufacturing base worldwide.It is a new challenge facing the steel industry to develop the low-cost and environment-friendly sheet for household appliance industry,so Cr-free anti-fingerprint hot-dip galvanized sheet for household appliances is the upgraded product which satisfies the requirement of China household appliance industry' s nuisanceless treatment.The paper discusses the technical key points of development on Cr-free anti-fingerprint galvanized sheet for household appliances,including the development of the Cr-free anti-fingerprint chemical and the production technology of Cr-free anti-fingerprint galvanized sheet for household appliances.The paper elaborates the main compositions,physical features and properties of the Cr-free anti-fingerprint chemical, surface quality control technology,anti-fingerprint coating quality control technology,influence of anti-fingerprint film weight on corrosion resistance,conductibility,high-temperature discolouration resistance,acid resistance,alkaline resistance and solvent resistance of Cr-free anti-fingerprint hot-dip galvanized sheet, influence of anti-fingerprint coating uniformity on paintability of the sheet,influence of strip surface roughness on corrosion resistance and conductivity of the sheet and influence of strip surface quality on corrosion resistance of the sheet.Adopting the suitable Cr-free anti-fingerprint chemical and the reasonable production process parameters,the properties of the Cr-free anti-fingerprint hot-dip galvanized sheet conform to the delivery technical norms and the Cr-free anti-fingerprint hot-dip galvanized sheet becomes the new material for household appliances such as computer case.

Analysis of Referrals for Mandibular Advancement Appliances for Sleep Apnoea

Aim: This article investigates the increasing awareness of Obstructive Sleep Apnoea (OSA) as a potentially serious health risk and highlights the role of the dentist in managing mild to moderate OSA cases which can be improved with an intra-oral mandibular advancement appliance. Methods: Data from referrals to a Prosthodontic Unit from 01-01-2019 to 18-8-2022 were analysed. Results: A total of 240 consecutive referrals to an NHS hospital where a patient was fitted with a mandibular advancement appliance (MAA) were analysed and 160 (67%) were male and 80 (33%) were female. The mean age in years was 52 (2019), 50 (2020), 52 (2021) and 51 (2022). Mean age of male referrals was 51 and female referrals was 53. Conclusion: There are a large number of patients with OSA seeking a dental device and practitioners should be aware of this treatment modality to help the medical team manage OSA. Clinical relevance: Dentists may need to have a greater understanding of OSA and be able to provide MAAs.

Improving Energy Efficiency of Smart Household Appliances and Devices

With the ever-increasing volume of applications of various kinds of electric drives in all spheres of human activity, the issues in improving the efficiency of the electromechanical converters of electric energy, one of the most important components of the electric drive (ED), are becoming increasingly important. Such issues include reducing their weight and size, improving the functional characteristics of these devices to increase their operational life and reducing the cost of manufacture. Taking full advantage of these opportunities relates to the AC and DC single-phase commutator motor (SCM), which is widely used in regulated and high-speed motor drives in home appliances and electric hand tools. The SCM is used in machinery where the load torque has a hyperbolic dependence on the rotational speed and the need to work with a large motor overload due to the “soft” mechanical characteristics of such motors.

Periodontal Tissue Status among Mental Retardation Patients with Fixed Prosthodontic Appliances

Background: The mental, physical and social impediments cause limitation of chances in normal life as an equal level with others of the community;particularly in relation to maintain good oral hygiene and periodontal health among the disabled patients who were receiving fixed partial denture. So the present study was performed to evaluate the periodontal tissue status among mental retardation patients with fixed prosthodontic appliances. Subjects and Methods: A total of 400 patients between the ages 18 and 50 years were clinically selected from outpatient clinics, college of dentistry, King Khalid University and rehabilitation center in Abha city, Saudi Arabia. They were divided into two equal groups as the following: group I: Two hundred mental retardation patients without fixed prosthodontic appliances (control group) and, group II: Two hundred mental retardation patients had fixed prosthodontic appliances for at least a year ago. A complete periodontal clinical examination was performed and the following indices were recorded: plaque index (PLI), gingival index (GI), and clinical attachment loss (CAL). All data was recorded and analyzed by ANOVA test. Results: The clinical results of the present study confirmed the relationship among the mental retardation, fixed prosthodontic appliances and destruction of periodontal tissues. It has been found that the severity of periodontal disease increases among the study group compared to the control group. Statistically significant differences were found in PLI, GI and CAL in the comparison between group I and II (p Conclusion: There was a negative relationship between mental retardation with a status of periodontal tissues and oral hygiene among the patients under fixed prosthodontic management.

Forecasting of Appliances House in a Low-Energy Depend on Grey Wolf Optimizer

This paper gives and analyses data-driven prediction models for the energy usage of appliances.Data utilized include readings of temperature and humidity sensors from a wireless network.The building envelope is meant to minimize energy demand or the energy required to power the house independent of the appliance and mechanical system efficiency.Approximating a mapping function between the input variables and the continuous output variable is the work of regression.The paper discusses the forecasting framework FOPF(Feature Optimization Prediction Framework),which includes feature selection optimization:by removing non-predictive parameters to choose the best-selected feature hybrid optimization technique has been approached.k-nearest neighbors(KNN)Ensemble Prediction Models for the data of the energy use of appliances have been tested against some bases machine learning algorithms.The comparison study showed the powerful,best accuracy and lowest error of KNN with RMSE=0.0078.Finally,the suggested ensemble model’s performance is assessed using a one-way analysis of variance(ANOVA)test and the Wilcoxon Signed Rank Test.(Two-tailed P-value:0.0001).

Obstructive Sleep Apnea, Prevalence, Etiology &Role of Dentist &Oral Appliances in Treatment: Review Article

Objective: The aim of this article is to provide a detailed description for obstructive sleep apnea regarding its signs and symptoms, the way it is diagnosed, the risk factors, management, the role of dentists and oral appliances in treatment and consequences of untreated condition. Material and Method: Electronic searching was done in PubMed, Medline, EMBASE and CENTRAL databases. Inclusion criteria were: dental, oral and maxillofacial oriented articles. Exclusion criteria: cardiac, obesity and non dental oriented articles were excluded. Result: 59 articles meet the criteria. Conclusion: Obstructive sleep apnea (OSA) is a potentially life threatening disorder characterized by repeated collapse of the upper airway during sleep, with periodic cessation of breathing for more than ten seconds. The frequency of obstructive sleep apnea has been found to increase with age;ranging from two percent among children to two and half percent - six percent among adolescents. Overnight polysomnographic test at specialized sleep clinics remains the gold standard for diagnosing obstructive sleep apnea disorder. Management of this condition can be performed via surgical and non surgical methods. Continuous positive airway pressure represents the first line of treatment for most patients with obstructive sleep apnea.

Impact of Implementation Energy Efficient Appliances in Palestinian Market

Recently, Palestine has been willing to improve its energy efficiency action plan and policies. As the Electrical demand for energy is increasing in Palestine, improving energy efficiency can be considered as an efficient way to achieve reductions in energy consumptions. In this respect, energy efficiency action plan and its strategies must be designed to overcome existing market barriers against using energy efficient appliances in residential and commercial sectors in Palestine. This study provides background on the benefits of stakeholders and steps needed to support energy efficiency standards and labeling in Palestine. Furthermore, this study attempts to predict the techno-economic impact of implementing high efficient electrical appliances in Palestine. Survey-based analyses from 300 households were conducted in 2019 to estimate residential sector electrical appliances usage, behavior and their knowledge in electrical appliances labels and standards, the study aims also to estimate the perception and willingness of Palestinian householders to shift towards more energy efficient choices. The study will focus on 8 electrical appliances that constitute a major share of the electricity used within households and commercial sectors in Palestinian market.

The Effect of Variable Electricity Tariffs in the Household on Usage of Household Appliances

Demand side management (DSM) has been discussed and investigated widely as a strategy to also influence residential energy consumption. Flexible energy tariffs are often proposed as a possible tool of DSM. However, real-life experience with this tool is rare. It was therefore the objective of this study to investigate under more realistic conditions how consumers are able and willing to adjust their residential energy consumption under the conditions of flexible energy tariffs with and without the support of intelligent smart appliances. Sixty-seven households in Germany within an experimental design with fictive tariff model (August 11 to July 12) driven by RWE Effizienz GmbH, as the energy utility, and Miele & Cie.KG, as the appliance manufacturer, were equipped with intelligent smart meters and 41 of them also with smart appliances (washing-machine and tumble-dryer). As a first part of the experiment, the energy tariff changed per hour and day by day, depending on the forecast of the availability of renewable energy in Germany between 10 €-Cent and 40 €-Cent per kWh. Consumers could respond to this change by adjusting the operation of their energyconsuming appliances either by themselves or—with the smart appliances—by a programmed start at low tariffs. The behaviour of the 41 consumers with smart appliances and their motivation are intensively investigated and analysed during this running two year project including several questionnaires. The consumers had to fill out daily a diary about the usage of their washing-machine, tumble-dryer, dishwasher and ironing devices. These data were matched with the actual tariff. This did allow identifying if and to which extend the consumers adjust their household activities depending on availability of solar and wind energy. These data were also used to calculate the cost savings by using the flexible tariff. In comparison to the costs of the fixed tariff of 25 €-Cent per kWh savings of 25% were realised on average. The results of a first phase already show that flexible tariffs are able to influence the operation of household appliances towards a flexible demand.

Indoor Electromagnetic Radiation Intensity Relationship to Total Energy of Household Appliances

The rapid technological developments in the modern era have led to increased electrical equipment in our daily lives,work,and homes.From this standpoint,the main objective of this study is to evaluate the potential relationship between the intensity of electromagnetic radiation and the total energy of household appliances in the living environment within the building by measuring and analyzing the strength of the electric field and the entire electromagnetic radiation flux density of electrical devices operating at frequencies(5 Hz to 1 kHz).The living room was chosen as a center for measurement at 15 homes in three different environmental regions(urban,suburbs,and open areas).The three measurement methods are(Mode 1:people in a sitting position with electrical appliances on.Mode 2:People in a standing position with electrical appliances on.Mode 3:People are in the upright positionwhile turning off the electrical devices)in the living room.These measurement methods and their results reinforce the importance of this research.The results showed that the average electric field strengthmeasured inMode 2 ismuch greater than the two methods,and we also found less electromagnetic radiation in Mode 3 than in the two modes.All results remain within the recommended overall exposure developed by the International Committee for the Prevention of Non-Ionizing Radiation and the International Electrotechnical Commission.

Environmental Information Statement for Home Appliances at Online Stores in Japan

This study aims to identify the current situation and problems of environmental information statement for major four home appliances （refrigerators, washing machines, air conditioners and television receivers） sold at online stores in Japan, and then to suggest how to improve the situation, through a questionnaire survey conducted among businesses that operate online stores and online malls with multiple online stores. The findings of this study are summarized into the following two points： （l） It is found out that environmental information statement for the home appliances at online stores has four problems： （i） less information on ＂three Rs （reduce, reuse and recycle）＂ and ＂chemical substances＂ than the one on ＂energy conservation＂; （ii） cost for providing environmental information statement; （iii） issues associated with a label and mark placement; （iv） issues associated with energy conservation statement. （2） Improvements are suggested for each of the four problems listed above, and shown are （i） the effectiveness of, and need to promote, a label and mark placement; （ii） cost burden on buyers; （iii） need of active efforts made by businesses and of dissemination of legal regulations to businesses.

Shengli Body-Building Appliances

The Shengli body-building appliances developed by the Zhejiang Shengli Group Co. in recent years cover ten categories and more than forty items. Shengli has become a "well-known trade mark of Zhejiang Province". The main categories of the Shengli body-building appliances cover a comprehensive training machine, weight-lifting bed, jogging instrument, jogging machine, rowing machine, cycling machine, walking machine, massager and tramping machine. The product series are developing towards intelligent, computerized and multi-functionaltypes. There are both multi-functional

Smart Object Detection and Home Appliances Control System in Smart Cities

During the last decade the emergence of Internet of Things(IoT)based applications inspired the world by providing state of the art solutions to many common problems.From traffic management systems to urban cities planning and development,IoT based home monitoring systems,and many other smart applications.Regardless of these facilities,most of these IoT based solutions are data driven and results in small accuracy values for smaller datasets.In order to address this problem,this paper presents deep learning based hybrid approach for the development of an IoT-based intelligent home security and appliance control system in the smart cities.This hybrid model consists of;convolution neural network and binary long short term model for the object detection to ensure safety of the homes while IoT based hardware components like;Raspberry Pi,Amazon Web services cloud,and GSM modems for remotely accessing and controlling of the home appliances.An android application is developed and deployed on Amazon Web Services(AWS)cloud for the remote monitoring of home appliances.A GSM device and Message queuing telemetry transport(MQTT)are integrated for communicating with the connected IoT devices to ensure the online and offline communication.For object detection purposes a camera is connected to Raspberry Pi using the proposed hybrid neural network model.The applicability of the proposed model is tested by calculating results for the object at varying distance from the camera and for different intensity levels of the light.Besides many applications the proposed model promises for providing optimum results for the small amount of data and results in high recognition rates of 95.34%compared to the conventional recognition model(k nearest neighbours)recognition rate of 76%.

Galanz: A World Leading Manufacturer of Home Appliances

When multinational appliance magnates were busy moving their production bases to China two year ago, Galanz had begun their“specialization , dimension and intensivism” construction, and scored a first in building super-bases of microwave ovens, air-conditioners , deluxe rice cookers and deluxe electric fans in the world.