Automated Brain Tumor Detection from MRI Scans using Deep Convolutional Neural Networks

The brain, as the central nervous system's most critical part, can develop abnormal growths of cells known as tumors. Cancer is the term used to describe malignant tumors. Medical imaging modalities, such as computed tomography (CT) or magnetic resonance imaging (MRI), are commonly used to detect cancerous regions in the brain. Other techniques, such as positron emission tomography (PET), cerebral arteriography, lumbar puncture, and molecular testing, are also utilized for brain tumor detection. MRI scans provide detailed information concerning delicate tissue, which aids in diagnosing brain tumors. MRI scan images are analyzed to assess the disease condition objectively. The proposed system aims to identify abnormal brain images from MRI scans accurately. The segmented mask can estimate the tumor's density, which is helpful in therapy. Deep learning techniques are employed to automatically extract features and detect abnormalities from MRI images. The proposed system utilizes a convolutional neural network (CNN), a popular deep learning technique, to analyze MRI images and identify abnormal brain scans with high accuracy. The system's training process involves feeding the CNN with large datasets of normal and abnormal MRI images to learn how to differentiate between the two. During testing, the system classifies MRI images as either normal or abnormal based on the learned features. The system's ability to accurately identify abnormal brain scans can aid medical practitioners in making informed decisions and providing better patient care. Additionally, the system's ability to estimate tumor density from the segmented mask provides additional information to guide therapy. The proposed system offers a promising solution for improving the accuracy and efficiency of brain tumor detection from MRI images, which is critical for early detection and treatment

Prenatal diagnosis of binders phenotype: a cross road to decision making

Binder’s syndrome is an uncommon congenital condition which develops in the first trimester of pregnancy and has characteristic effects on the facial features. Those effects are: arhinoid face, intermaxillary hypoplasia (associated with malocclusion), abnormal position of the nasal bones, nasal mucosa atrophy, anterior nasal spine agenesis and (in most cases) a lack of frontal sinuses. Other deformities, as well as mental retardation, are also possible. Due to the rarity of the disease, there are no treatment trials for these patients. Treatments reported in the medical literature are part of single case reports or small case series of patients. Here is a case report of a 23-year-old who presented to OPD at 26 weeks with features of binders’ phenotype. This woman delivered an infant of 2.7 kg without other abnormalities and no respiratory distress postnatally. Sonographic evaluation during pregnancy depicts proper differential diagnosis and therapeutic strategy. Multidisciplinary approach is mandatory in order to establish meticulous treatment. Further studies must be conducted, achieving this ultimate scope. Even so, the parents should be counselled that Binder syndrome is a tentative diagnosis prenatally, and that not all genetic syndromes can be prenatally excluded

Empowering Visually Impaired through the Assistance of SAHAYAK – A Walking Aid for the Blind

To help blind people overcoming difficulty in their movement in the physical environment and even in their home, a study on an engineering concept is very much necessary. So, our research comes out with an aid that will help blind people in their surroundings. It can detect any obstacle that will block the path of the blind. And The motion of the user can be sensed by the bot. Thus, Blind people can comfortably receive the help of our bot in assisting their movement from one place to another. This paper describes about an automated vehicle which can be controlled by an ultrasonic sensor to avoid obstacles when they move in their environment. Our automated robotic system is made up of an ultrasonic sensor and Arduino micro controller controls our automated bot. It is located in the front part of the bot. The ultrasonic sensor retrieves the data from the environment through the sensors attached to the bot. When any obstacle is detected then immediately that path is changed and an obstacle free path is chosen. The bot wheel is moved based on the data received by the controller from the sensor. The direction and wheel movement of the bot and will be decided from the ultrasonic sensor sensing and also using wheel encoder. It is used for detection and avoidance of interference. The controller is also programmed to be used with an android application

Reduction of polyphenolic exudation and enhancement of hardening efficiency in pomegranate tissue culture plants

140-147Punica granatum is one of the world’s nutritious fruit, tolerating high drought. Bacterial blight is being an obstruct in the export of pomegranate from India. In the present study, a rigorous and efficient protocol for micropropagation of pomegranate plantlets is developed which can replace traditional plant breeding practices. Antioxidants controls polyphenolic exudation in micropropagation. For the first time, this report accomplishes to control polyphenols by modifying medium constituents. Woody plant (WP) medium containing benzyl-amino-purine (BAP) and kinetin (both at 1.5 mg l-1) exhibited high bud break of about 99%. Further, it gave highest number of shoots of about 6.36 ± 0.22 with the length 6.12 ± 0.31 cm in multiplication stage. Shoots were successfully rooted in WP medium containing indole butyric acid (IBA) 1.5 mg l-1 with 5.62 ± 0.17 roots. This research emphasizes to preliminarily harden plant lets in vitro prior to hardening using innovative technique with increase in gelling strength and by creating nutrient competition. Nutrient stressed plants have a higher survival rate of 98% and water stressed plants have a survival rate of 96% when compared to conventional method. Therefore, mass propagation of pomegranate plants is possible to meet the demand of farmers in procuring disease-free plantlets

INTERACTION OF ICHNOCARPUS FRUTESCENS WITH BIOGENIC AMINES FOR ITS ANTI-DEPRESSANT ACTIVITY

The research interest has focused on various herbs that possess antidepressant properties and may be useful adjuncts in helping the management of depression in humans. The present study was therefore designed to investigate the antidepressant-like effects of methanol leaf extract of Ichnocarpus frutescens in animal models of depression. The mice were divided in to different groups and treated with two different doses of methanol extracts (200 & 400 mg/kg), same doses of extracts with different antagonist of 5HT, NA & DA (Ondansetran, Terazosin & Chlorpromazine) and standard groups treated with imipramine 10mg/kg. All groups of animals were separately submitted to forced swim test (FST), and Tail suspension test (TST) tests for the bio-screening of leaf extract with antidepressant profile. Results revealed that the immobility time in the FST & TST was significantly reduced with extracts alone and extracts with Chlorpromazine treated group compared to negative control. There is no significant reduction in immobility time was observed particularly in rats orally administered extracts with Ondansetran & Terazosin when compared with their respective controls. Thus, it is suggested that methanol leaf extract of Ichnocarpus frutescens exhibited significant antidepressant-like effects in animal models of depression and may be served as a potential resource for natural psychotherapeutic agent, against depression and its may act mostly through modifying serotonergic and noradrenergic neurons

Ascertaining Along With Taxonomy of Vegetation Folio Ailment Employing CNN besides LVQ Algorithm

In agriculture, early disease detection is crucial for increasing crop yield. The diseases Microbial Blotch, Late Blight, Septoria leaf spot, and yellow twisted leaves all have an impact on tomato crop productivity. Automatic plant illness classification systems can assist in taking action after ascertaining leaf disease symptoms. This paper emphasis on multi-classification of tomato crop illnesses employs Convolution Neural Network (CNN) model and Learning Vector Quantization (LVQ) algorithm-based methodology. The dataset includes 500 photographs of Tomato foliage with four clinical manifestations. CNN paradigm performs feature extraction and categorization in which color information is extensively used in plant leaf disease investigations. The model's filters have been applied to triple conduit similar tendency on RGB hues. The LVQ was fed during training by a yield countenance vector of the convolution component. The experimental results reveal that the proposed method accurately detects four types of solanaceous leaf diseases

Evaluation of holy basil mouthwash as an adjunctive plaque control agent in a four day plaque regrowth model

Objectives: Various antibacterial and antiplaque agents are used in chemical plaque control but none are without their shortcomings. Chlorhexidine considered a gold standard, also has an array of side effects. To overcome these, numerous herbal extracts have been tried and tested and one among them is holy basil. The present study evaluated the antibacterial efficacy of holy basil in vitro against some periodontopathogens and its antiplaque ef fect in vivo. Study Design: Thirty periodontally healthy volunteers were randomly divided into three groups and refrained from all mechanical oral hygiene measures for 4 days and used one of the randomly assigned mouthwash (1- chlor - hexidine; 2- holy basil; and 3- sterile water [placebo]) twice daily. The Plaque Index (PI) was assessed at days 0 and 5. Aqueous extract of holy basil was tested against Prevotella intermedia ( P. intermedia ) and Fusobacterium nucleatum ( F.nucleatum ). Results: Holy basil extract showed inhibition of both the tested periodontopathogens ( P.intermedia and F.nucleatum ) at various concentrations. In all groups, the PI increased from baseline to day 5. There was a statistically significant difference ( p < .05) between the chlorhexidine and placebo rinse and the holy basil and placebo rinse, but no statis - tically significant difference was found between the chlorhexidine and holy basil rinse with respect to PI. Conclusions: These results indicate that the holy basil mouthwash has an antiplaque effect and is efficacious against P. intermedia and F. nucleatum strains in vitro. Hence holy basil mouthwash may have potential as an antiplaque mouthwash with prophylactic benefits

Clinical approach, diagnosis and medical management of acute pancreatitis among patients attending tertiary care hospital in Prakasam district, Andhra Pradesh, India

Background: There has been an increase in the incidence of acute pancreatitis reported globally and despite of improvements in access to care and interventional techniques, acute pancreatitis continues to be associated with significant morbidity and mortality. The present study was aimed to assess the clinical profile of acute pancreatitis and to assess the efficacy of various severity indices in view of   outcome of patients. Methods: A hospital based prospective cross-sectional study was conducted from October 2022-March 2023 in Gastro and Liver care center in Ongole, Prakasam District, Andhra Pradesh India. All consecutive 72 patients with a diagnosis of acute pancreatitis were included in this study. Results: Out of total acute Pancreatitis cases   61 (84.7%) were males and 11 (15.3%) were females and acute abdominal pain (97.2%) and decreased appetite (95.8%) were the most common presenting complaints, 54.2% cases were due to Alcoholism, followed by hyperlipidemia with 20.8% and Gall stones 13.9%.  All 72 (100%) received pancreatic supplements, 68 (94.4%) were given pain killers, and 65 (90.3%) were taken anti-ulcer agents. Twenty-three (31.9%) patients with 0 to 3 points as per CTSI Score and 4-6 range points were observed in 47 (65.3%) pancreatitis patients. Maximum (40.3%) were improved on 2nd day, 22 (30.6%) were on 3rd day.  Positive correlation noticed between Amylase and in diagnosing acute Pancreatitis, it is significant at 0.05 level. Conclusions: Early assessment of the clinical severity and identification of patients at risk is important for early intensive management and timely intervention and to improve quality of life. So, it is mandatory to assess the clinical severity using different scoring systems. and appropriate treatment based on guidelines

Phase Shift Controlled PWM Technique for Interleaved remote Boost Converter Based on Semiactive Quadrupler Rectifier for High Step up Applications

Semiactive quadrupler rectifiers (SAQRs) are proposed on this paper to serve as the secondary rectification circuits, which make the secondary facet voltages to be controllable and assist reduce current stress and conduction losses. An interleaved isolated raise converter is developed based totally at the proposed SAQRs. By way of utilizing the heart beat width modulation (PWM) plus section shift (PPS) control strategy, the number one and secondary facet voltages are well matched to lessen the cutting edge values and circulating conduction losses. With the proposed SAQRs, the volt age gain is extended and the voltage load on electricity devices and passive additives used in rectification circuits are decreased to the half of the excessive output voltage. consequently, the performance is progressed by the use of a transformer with a smaller turns ratio and reduced parasitic parameters, and by using low voltage score gadgets with better switching and conduction performance. With optimal design, decrease voltage, and present day stresses on the primary side switches, minimized input present day ripple may be found out. Moreover, the zero voltage switches on switching of the lively switches and the zero modern turn off switching of the diodes can be performed over a wide load and voltage range by way of the proposed SAQR based converter and the control method. In the meantime, the better voltage advantage, the lower voltage, and the current stresses on electricity devices may be obtained with the proposed SAQR based totally converter compared with passive quadrupler rectifier primarily based converter. The feasibility and effectiveness of the proposed SAQRs and the derived converter are established by a 380 V output prototype

MFC-09-1: A New Forage Cowpea (\u3cem\u3eVigna unguiculata\u3c/em\u3e (L.) Walp) Variety for South Zone of India

Cowpea (Vigna unguiculata (L.) Walp) is a leguminous crop grown throughout West Africa, often in association with pearl millet and sorghum. Cowpea is well adapted to the harsh growing conditions, including low soil fertility, high temperatures, and drought. Cowpea can fix atmospheric nitrogen to improve soil fertility and cropping system productivity. Additionally, farmers feed cowpea fodder to livestock to increase income, and collect the manure produced for use in their fields thereby reduces farmers’ reliance on commercial fertilizers and sustains soil fertility. Previous studies with cowpea indicated that this legume improves soil fertility and enhances the intake and utilization of poor quality roughage consequently improving livestock production and productivity