Volume 10 | Issue 12 |

 Abstract

Background: Patellofemoral pain syndrome (PFPS) is one of the most common musculoskeletal disorders and reported to affect 21%-45% of adolescent. Objective: The main objective of interventional study was in comparing the effectiveness Of Lumbopelvic Hip Strengthening verses knee strengthening with conventional therapy in reducing pain and improve functional outcome of knee in women with PFPS. 36 patients with PFPS are included in the study. Method: The subjects were divided in to three groups with use of Simple Random sampling: Control Group, Lumbo Pelvic Hip Strengthening exercise and knee Strengthening exercise Group. All three groups were assessed for pain with 11- NPRS, lower limb muscle (hip flexor, hip extensor, hip abductor, hip external rotators, knee extensor ,trunk lateral flexors) strength with Hand Held Dynamometer and Functional assessment with KQFAS Questionnaire, before and after 8 weeks of intervention. Result: There was a significant decrease in pain and improvement in the strength and functional ability of knee (p<0.001) in patients with PFPS who received Lumbo Pelvic Hip Strengthening exercise and knee strengthening. Conclusion: When two interventions Lumbo Pelvic Hip Strengthening and Knee strengthening were compared Lumbo Pelvic Hip Strengthening Exs Group was found superior than Knee Strengthening Exs group in the management of patello femoral pain syndrome.

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 Keywords

patello femoral pain syndrome, Lumbo Pelvic Hip Strengthening ,Knee strengthening ex, Hand Held Dynamometer, KQFAS

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Creative Commons Attribution 4.0 and The Open Definition

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Mouth dissolving tablet or dispersible table is a widely acceptable dosage forms which dissolves rapidly in the saliva, without water. It enhanced efficacy and bioavailability, thus reducing the dose and dosing frequency to minimize the side effects. In the present work Astemizole dispersible tablet of was prepared by direct compression method using polymers like crosspovidone, Crosscarmellose and Indion 414, as superdisintegrants. FT-IR study shows that there is no significant interactions occur between drug and excipient. The tablets prepared were evaluated for various parameters like various density parameters, thickness, hardness, friability, disintegration time, wetting time and In-vitro dissolution time. All the parameters were found to be within limits. The developed formulation of Astemizole batch F8 (9 % Indion 414) showed good palatability and dispersed within 30 seconds as compared to crosscarmellose

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Dispersible tablet, Astemizole, Compression method, Crosscarmellose, Indion 414.

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Hair fall is a very common phenomenon and a matter of concern within whatever young or aged. Herbal formulations always have attracted considerable attention because of their good activity and comparatively lesser or nil side effects with synthetic drugs. The synthetic drug have some side effects like local irritation, itching and burning sensation. Herbal cosmetics are now-a-days widely used by the common people because of concept of fewer side effects and with a better safety and security profile. The objective of present study involves preparation of polyherbal hair oil using herbs like Amla, Hibiscus, Brahmi, Methi, Bringraj, Neem leaves, curry leaves, and its evaluation for increase in hair growth activity and physical parameter were also evaluated like viscosity, refractive index , specific gravity, pH, acid value, saponification value etc. and were compared with some synthetic marketed formulations. To find out the efficacy of test herbal hair oil over simple Coconut Oil (purified) to reduce the hair falls.

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Hair fall, hair dye oil, Herbs, physical parameters.

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The present invention relates to a semi-solid composition in the form of cleansing beads comprising ?-glucan, omega 3 and vitamin C for use in skin hygiene processes, wherein the brittle material of the beads is ruptured by force by an individual performing a skin hygiene process so that the fragile substance can store the active ingredient until the active ingredient is immediately released from the storage state. The ?-glucan and omega 3 are obtained from barley seed and flaxseed. Production of skin cleansers for improving the skin contour by restoring youthful mechanical properties of the skin. More particularly, it relates to semi-solid composition in the form of cleansing beads comprising ?-glucan, omega 3 and vitamin C for use in skin hygiene processes.

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Creative Commons Attribution 4.0 and The Open Definition

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There are so many reasons for pain, the most common cause of joint pain often affecting the middle age and older age people is sandhigatvata. The main symptoms of sandhigatvata are pain, stiffness, swelling, and crepitus. It is mainly occurs due to the etiological factors which are classified as Dhatukshyjanya and Margavrodhjanya. Aging and obesity are the major risk factor of increased prevalence as the occurance of osteoarthiritis. In present study 46 yr female having 88kg complaining of Janusandhishool, Kriyakashtata, Shoth, Malavshtambh was diagnosed as Upstambit Janusandhigatvata. The Ayurvedic drug combination which include Trifala guggul, Bhallatakasav, Medohar guggul, along with Panchakarma Procedure which includes Lekhan Basti, Taildhara of Chandanbala Lakshadi Tail, etc was given for 15 days to manage Upstambhit Janusandhigatvata

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Janusandhigatvata, Osteoarthritis, Lekhan basti,sthoulya

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Caste system is a special phenomenon seen only in India .The racial discrimination started in India when the Aryans and the former inhabitants started living together as one community. Caste system in Kerala has not existed anywhere else as the Arya Brahmins invaded and gained all the power here, they created the caste system to keep the society completely united under their leadership. As the Brahmins gained spiritual ascendancy and increased influence in the social and political arenas Chaturvarnnya became an inviolable custom. The castes from Nair to Namboothiri treated as privileged class and they exploit all the castes below them A political section emerged here to support the Brahmins and protected the social and economic conditions of that time.

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Casteism, Untouchability, pollution, Community

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Skin disease, one of the deadliest types of cancer is becoming more lethal as fewer people become aware of its symptoms and how to prevent it. The purpose of this research is to identify and classify using machine learning and image processing techniques to treat various types of skin cancer. In this effort, we created a pre-processing image. We modified the dataset, reduced the size of the images, and removed hairs from them in order to meet the requirements of each model. Using pre-trained ImageNet weights and tweaked convolution neural networks, the EfficientNet B0 skin ISIC dataset was trained.

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Disease Detection, Image Processing ,YOLOR, EfficientNet B0, Quantification

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Unusual human activity detection in crowded scenes. Suspicious behavior is hazardous in public settings and can result in significant casualties. Systems that detect motion or pedestrians have been developed using video frame collection, however even in real time, those systems lack the intelligence to spot unusual activity. To quickly and effectively manage a scamper issue before any casualties occur, it is necessary to spot scamper situations in real time via video monitoring. The proposed system focuses on identifying suspicious activity and aims to provide a technique that makes use of computer vision to detect suspicious behavior automatically. The system in this instance makes use of the OpenCV library to instantly classify various activities. The examination of the motion regularly shifts the location between two locations has been represented by a motion influence map. Utilizing CNN and YOLO algorithm for real-time object detection.

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Unusual crowd activity detection, OpenCV, CNN, YOLO

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This study attempts to give the user the machine's operational condition while simultaneously detecting flaws or damage in big industrial machinery in real-time. However, due to the complexity of real-world systems and the clear presence of nonlinear elements, it is highly challenging to diagnose a machine malfunction using standard approaches based on mathematical models. A computer-aided diagnostic system with artificial intelligence (CADS-AI), which aids in early fault diagnosis, can resolve this issue. To assure that the CADS solution can be trusted, a machine failure detection system based on sound patterns is created in this study. The YAMNet Model classified the sounds as normal or abnormal with an accuracy of 78.31%. By using window inference on the audio file with a mean score, the predicted output was decoded. By using real-time audio input or uploading machine sounds to the system, the proposed solution can be inferred.

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Pattern Recognition, Machine Learning, Machine Fault Diagnosis, Audio Processing, Acoustic emission signals

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