Congestion Control early warning system using Deep Learning

A new approach is proposed to analyze the live crowd and to provide an alert at the time of congestion, over-crowding and sudden gathering of pedestrians in a particular region. This paper proposes a completely software-oriented approach using MATLAB where it uses object detection and object tracking using Faster R- CNN (Region Based Convolutional Neural Network) algorithm where inception model of Google is used as CNN model which is pre-trained. This proposed method gives significant result on proposed dataset and the crowd congestion using Faster R-CNN approach which gives an accuracy of 93.503% at the rate 28 frames per second and the crowd detected video frames are uploaded to cloud storage

Obstructive Sleep Apnea – Current Perpectives

Obstructive sleep apnea is a common sleep related breathing disorder. The demand for sleep medicine services has increased exponentially since the recognition of sleep apnea as a disease in the 1960s. The involvement of dentists in the treatment of sleep apnea has increased. It is important that dentists are aware of the problem of sleep disorders and the potential they have to help in their management

Managing Class II Malocclusion Using Twin Block Therapy in a Young Adolescent male: A Case report

Patients with untapped development potential benefit greatly from twin block therapy. However, a variety of patient-related characteristics, including age, gender, patient compliance, and other arbitrary criteria, complicate its effective application. Orthopaedics and growth modification can use the right forces to repair the malocclusion if given the proper care in a timely manner. When a patient has a retruded mandible and is presenting with a positive visual treatment objective, the appliance is quite effective. In this work, a successful skeletal alteration is described in the instance of a male patient, age 11, who had the typical twin block appliance indication

A NOVEL DESIGN OF FLOWER TYING MACHINE

 A prototype model of automated flower string machine is proposed to knot the flowers. In India’s rich culture flower garlands play a vital role. They are used for decorations and adorations of Gods, men and women. Garlanding of flower is a monotonous and time- consuming job. The flower string machine is conceptualized based on the working principle of sewing machine and added multiple kinematic mechanisms to drive the flower feeding and stringing. The flowers will be placed on the conveyor belt and based on process control technique; an innovative knotting mechanism will be used to string the flowers. It is also a customized machine for armless and loss of fingers community. Flower tying machine ensures perfect garlanding in an affordable cost. By this technique, the manual work can be reduced and flower vendors can utilize their time effectively

Review on stroke induced depression

One of the frequent and dangerous aftereffects of stroke is post-stroke depression (PSD). About one in three stroke survivors had depression following their stroke. It had a significant impact on functional recovery, which resulted in a low standard of living. Even worse, there is a clear correlation between it and a high death rate. Our goal in doing this evaluation was to come up with a thorough and cohesive knowledge of PSD based on both recently released research and well-known works. We discovered that the incidence of PSD varies from 11 to 41% within a two-year period, based on a significant number of researches. The severity of the stroke, the location of the lesion, past history of depression, and other factors all has a role in the development of PSD. The DSM criteria are currently the primary basis for diagnosing PSD, and they are often coupled with different depression scales. However, there isn't a single, cohesive process that explains PSD which now include aberrant neurotrophic response, elevated inflammatory markers, lowered monoamine levels, glutamate-mediated excitotoxicity, and dysfunction of the hypothalamic-pituitary-adrenal (HPA) axis. Pharmacotherapy and psychosocial therapies are currently used in the treatment of PSD. Even though researchers have made significant progress, many problems still need to be solved. In particular, the PSD's mechanism is not entirely understood

A review on cardiovascular risk in rheumatoid arthritis

A systemic inflammatory disease known as rheumatoid arthritis (RA) is distinguished by excessive cardiovascular disease (CVD) morbidity and death. Traditional CV risk factors may partially contribute to CV disease in RA. Shared inflammatory mediators, post-translational modifications of peptides/proteins and subsequent immune responses, changes in the composition and function of lipoproteins, increased oxidative stress, and endothelial dysfunction are some of the mechanisms that link RA and CVD. The detailed pathogenetic pathway by which this association between RA and CVD might be explained is still not entirely known. It is crucial for controlling cardiovascular risk in people with RA. Optimizing care of traditional risk factors in addition to those inherent to RA is necessary to lessen the burden caused by CVD. The potential effect of planned Cardiac risk management in these individuals is highlighted by findings for under diagnosis and inadequate treatment of conventional CVD risk factors in RA. Present cardiovascular standards suggest RA patients to be examined for and treated for CVD risk factors without appropriate treatment goals. Utilizing potent anti-rheumatic medications that can reduce disease activity and treating the conventional CV risk factors should both be part of the therapy of CV risk in RA. There is currently insufficient scientific data to develop therapy targets for RA-related CVD risk factors. Thus, more study is required on the traditional CVD risk factor screening and management in RA patients