Volume 10 | Issue 5 |

 Abstract

Esthetics play an important role in dentistry along with functioning prosthesis. Anterior maxilla is a high esthetic demand region[2]. Achieving esthetics in anterior maxilla is a challenge independent to the type of restoration[1]. Achieving excellence in anterior rehabilitations include knowledge in esthetics and preservation without damaging much tissues. Reconstruction of the soft tissue loss after pathologic resection needs special techniques[2]. Many techniques can be used to restore the lost alveolar hard and soft tissues[1]. Various soft tissue augmentation procedures are available to correct the ridge defects in anterior region[3]. The newer technique , namely Vascularized Inter-positional Periosteal Connective Tissue flap[VIP-CT], having the potential to augment predictable amount of tissue and has many benefits when compared to other techniques[3]. This article discusses in detail the importance of Vascularized Inter-positional Periosteal Connective Tissue flap in oral surgery.

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 Keywords

Vascularized interpositional periosteal connective tissue graft, interpostional bone grafting, subepithelial dissection, esthetic zone

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 Abstract

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HPLC, HPTLC, spectrophotometer, Glucosamine Diacerein, Ramipril, Analytical method.

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Comedy of manners, attitudes, manners, aristocratic, love intrigues, morality, satire, humour, ridicule and moral peace and prosperity.

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An easiest, precise, accurate and isocratic RP-HPLC stability-indicating method was developed and validated for determination of Beta caryophyllene. RP-HPLC separation was achieved on Hypersil BDS RP (5?, 250 mm X 4.6 mm) column using mobile phase comported of methanol: water: orthophosphoric acid (98:02:0.1, % v/v) at flow rate of 1 ml/ min. Forced declination studies were performed on bulk sample of Beta caryophyllene using acid (1 N Hydrochloric acid), base (1 N Sodium hydroxide solution), oxidation (3% Hydrogen Peroxide Solution), Dry heat (80?C). Good resolution between the peaks corresponds to declination products. The estimation angles of Beta caryophyllene showed good linearity in the attention range 25-75 ?g/ ml with UV discovery (210 nm). The correlation portions were in the range 0.999. With limit of discovery and quantification 1.976 ug/ml and 5.989 ?g/ml, independently. The system has the needful delicacy, selectivity, perceptivity and perfection to assay declination products performing from the stress studies didn't intrude with assay is therefore stability- indicating.

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Stability indicating method, Beta Caryophyllene (BCP), Recovery studies, stress studies.

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Domestic Violence, COVID-19, Massive, Pandemic, Distrust.

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Technology's goal is to mass-produce items at lower costs and higher quality. Current technologies have achieved a portion of it, but manufacturing technology is on a far larger scale. Manufacturing products at a molecular level is the way of the future. In the 1980s, researchers began investigating this topic. Manufacturing at the atomic and molecular level was ridiculed at the time. However, thanks to the development of nanotechnology, we have come close to realising it. PILL CAMERA, for example, is a cancer, ulcer, and anaemia treatment product. In the sphere of medicine, it has caused a revolution. Manufacturing at the atomic and molecular level was ridiculed at the time. However, thanks to the development of nanotechnology, we have come close to realising it. PILL CAMERA, for example, is a cancer, ulcer, and anaemia treatment product. In the sphere of medicine, it has caused a revolution. This little capsule is safe to pass through our bodies. It captures photos of our intestines and sends them to a computer for analysis. This method can aid in the detection of any digestive system ailment. We've also talked about the disadvantages of the PILL CAMERA and how they can be mitigated by employing a grain-sized motor and a bi-directional wireless telemetry capsule. Apart from that, we looked at how nanotechnology is used to make items.

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PILLCAMERA, Nanotechnology

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Diabetes is an illness caused because of high glucose level in a humanbody. Diabetes should not be ignored if it is untreated then Diabetes may cause some major issues in a person like:heart related problems, kidney problem ,blood pressure,eye damage and it can also affects other organs of human body. Diabetes can be controlled if it is predicted earlier. To achieve this goal this project work wewill do early prediction of Diabetes in a human body or a patient for a higher accuracy through applying, Various Machine Learning Techniques. Machine learning techniques Provide better result for prediction by con-structing models from datasets collected from patients.In this work we wil luse Machine Learning Classification and ensemble techniques on a dataset to predict diabetes. Which are K-Nearest Neighbor (KNN),Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Gradient Boosting(GB) and RandomForest(RF). Theaccuracy is different for every model when compared to other models.The Project work gives the accurate or higher accuracy model shows that the model is capable of predicting diabetes effectively.Our Result shows that Random Forest achieved higher accuracy compared to other machine learning techniques.

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Diabetes,Machine,Learning,Prediction,Dataset,Ensemble.

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Abstract: This work is primarily about the improvement of current agricultural practices by using modern technologies for betterment of agriculture and modernization the traditional agriculture system. Internet of Things(IoT) plays a crowning role in smart agriculture. The project will help root level farmers to get into smart irrigation in term of agriculture. Which provide greater service in less cost in irrigation and lowest man power. Smart irrigation is an empirical concept because IoT sensors capable of providing information about their agriculture fields and making irrigation automated by Internet of Things. The feature of this paper includes monitoring temperature, humidity, pH and water level in agricultural field through sensors. The data from sensors are sent to Web server database using wireless transmission. Controlling of all these operations will be through any remote smart device or computer connected to internet and rain condition is also applied to the operations. It will be performed by interfacing sensors, IFTT app, Smart agriculture app, Wi-Fi and raspberry pi.

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Internet of Things, Smart irrigation, Raspberry pi, Smart Agriculture.

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 Abstract

The aim of pre-prosthetic surgery is to prepare the hard and soft tissues for a befitting prosthesis[1]. This will help in restoring the function of the jaws, preserve and improve jaw structure and improves the esthetic outcome. Pre-prosthetic surgery must begin with thorough history and examination of the patient[2], since there are many contraindications in patient with systemic diseases. Attention should be given to the laboratory tests to determine the degree of bone resorption. Every attention should be taken in restoring the hard and soft tissues of denture bearing areas[2]. The procedures include smoothening and reshaping, removal of excess bones and gums in denture bearing area. The prime determining factor for the success of pre-prosthetic surgery is the condition of denture bearing tissues[3]. It should be noted that the hard and soft tissue should be in a state that the patient can wear denture without any hindrance[3]. This article deals about the various pre-prosthetic procedures and its recent advances.

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 Keywords

Pre prosthetic, Alveoloplasty , Ridge augmentation, Vestibuloplasty

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The industrial internet of things refers to the expansion and implementation of the internet of things (IoT) in industrial sectors and applications (IIoT). By focusing on machine-to-machine (M2M) connectivity, big data, and machine learning, the IIoT allows industries and businesses to increase their efficiency and dependability in their operations. Robotics, medical devices, and software-defined manufacturing processes all fall under the Industrial Internet of Things umbrella.

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IoT, Information Technology, Operational Technology, Industry 4.0, Security operations center

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