Relationship between qualitative physics and fuzzy logic in natural subsystems

44-49The purpose of this research is to present a comparison between the two ad hoc appearance and control techniques of conceptual systems. In that respect, it is a description of the interconnected notion between the principle of qualitative physics and of ambiguous quality. On that basis the first point is to determine the key feature of each approach is significant. In the early stages of the product development and forecasting process, a large number of input energies were used for its creation. However, they are still being used in nature, though not subjectively impure. Therefore, this research presents the concept of the relationship between qualitative physics and fuzzy logic in terms of developing predictive outputs and using logical resources. Finally, the relationship between qualitative physics and fuzzy logic processes has been proven with the support of the selected natural subsystem

Relationship between qualitative physics and fuzzy logic in natural subsystems

The purpose of this research is to present a comparison between the two ad hoc appearance and control techniques of conceptual systems. In that respect, it is a description of the interconnected notion between the principle of qualitative physics and of ambiguous quality. On that basis the first point is to determine the key feature of each approach is significant. In the early stages of the product development and forecasting process, a large number of input energies were used for its creation. However, they are still being used in nature, though not subjectively impure. Therefore, this research presents the concept of the relationship between qualitative physics and fuzzy logic in terms of developing predictive outputs and using logical resources. Finally, the relationship between qualitative physics and fuzzy logic processes has been proven with the support of the selected natural subsystem

Comparative Analysis of CNN Regularisation and Augmentation Techniques with Ten Layer Deep Learning Model To Detect Lung Cancer

In the medical sector cancer detection became the most challenging task. Here a lot of research is carried out by the scientific fraternity. Most medical issues are getting better answers because to modern technology like artificial intelligence and models based on neural networks. In this the first half part of the paper discuss about the CNN model by using regularization and augmentation techniques for getting the better accuracy result. The second part delas with developing and demonstrating an application for detecting the lung cancer using the deep learning (DL). Here the application is built using flask which works based on the Python programming language. This acts as an application programming interface (API) between the cloud server and the proposed application model. Heroku cloud platform was used as a service base to launch the software and to use the application with highest reliability. The internal functionality of the proposed model is based on convolutional neural network (CNN) architecture with ten layers to obtain high accuracy. The model demonstrated a considerable training and validation accuracy of 94% and 92% respectively

Cotyledonoid dissecting leiomyoma of the uterus: a case report

Cotyledonoid dissecting leiomyoma of the uterus is a recently described rare variant of benign uterine leiomyoma. We report a case of cotyledonoid dissecting leiomyoma in a 52 year old woman who presented with menorrhagia and abdominal pain. An ultrasound scan showed a bulky uterus and a cystic heterogenous mass near the left ovary. At hysterectomy, the left broad ligament mass was removed. This was continuous with an ill-defined nodular area in the myometrial fundus. Microscopy revealed a benign smooth muscle proliferation in the myometrium that extended beyond the uterus and into the broad ligament. The lesion appeared to be dissecting the myometrial fibres and showed areas of oedema, hyalinisation and perinodular hydropic change. Cellular atypia, mitoses and coagulative necrosis were absent. The patient is alive and well 18 months after surgery. It is important to recognize this benign and unusual appearing variant of leiomyoma in order to prevent inappropriate treatment

Computed Tomography–Guided Spinal Biopsy in Suspected Infective Spondylodiscitis: An Institutional Review of Its Utility

Background Infectious spondylodiscitis is a debilitating condition and evidence-based medicine dictates confirming the diagnosis before treatment. Computed tomography–guided spinal biopsy plays a major role and hence we would like to determine its utility in current clinical practice. Purpose The purpose of this study is to determine the percentage of confirmatory positives of CT-guided spinal biopsy in patients who were clinicoradiologically diagnosed with infectious spondylitis. Material and Methods A retrospective analysis of patients who underwent CT-guided biopsy for suspected infectious spondylodiscitis from 2017 to 2021 in a tertiary medical center was done. The data were filtered and obtained from the electronic database of the institution. Results In all, 259 patients underwent CT-guided biopsy of the spine. The procedure provided confirmatory results in 149 (57.5%) biospecimens. Histopathology examination was confirmatory in 95 (36.6%) of the 241 biospecimens sent. The Mycobacteria Growth Indicator Tube (MGIT) was confirmatory in 51 (19.9%) of the 250 biospecimens sent and drug resistance was seen in 6/51 (11.7%) biospecimens. Xpert TB provided confirmatory results in 72 (27.8%) of the 254 biospecimens sent and rifampicin resistance was seen in 16/72 (22.2%) biospecimens. Bacterial culture was confirmatory in 29 (11.2%) of the 250 biospecimens sent. The complication documented in this study was 0.3%. Conclusion CT-guided spinal biopsy for suspected vertebral osteomyelitis is a safe and effective minimally invasive procedure. It demonstrates a positive yield in more than half of the patients. Knowing the outcome, the patients can be appropriately counseled prior to the procedure. CT-guided biopsy results were affected by prior administration of ATT (antitubercular therapy) in suspected tuberculous spondylitis patients