The proliferation of digital communication and social media platforms has led to an upsurge in spam messages across various languages, including Bangla. These intrusive not only cause user annoyance but also elevate the risk important going unnoticed. To address this concern, we harnessed power natural language processing (NLP) techniques conjunction with machine-learning models. This study delves into efficacy diverse deep-learning models detecting Bangla language. Particularly,...

The aim of this study was to prepare and characterize a self-emulsifying drug delivery system (SEDDS) with high load poorly water-soluble atorvastatin for the enhancement dissolution oral bioavailability. Solubility in oil, surfactant, cosurfactant determined. Pseudo-ternary phase diagrams were constructed by aqueous titration method, formulations developed based on optimum excipient combinations. A (10% w/w) achieved combination oleic acid, Tween 80, polyethylene glycol 400, ensuring...

Conventional detection in active sonar involves comparing the normalized matched filter output power to a fixed preset threshold. Threshold crossings from contacts of interest are labeled as detections and those undesired clutter echoes false alarms. To maintain constant false-alarm rate (CFAR) presence strong transient clutter, system can either increase threshold or apply some function that suppresses this background down an acceptable level. The latter approach leads more consistent on...

<p>The varying crop species, symptoms of diseases, and environmental conditions make early detection potato leaf disease difficult. Potato diseases are difficult to identify in their stages because these reasons. An ensemble model is developed using the ResNet50V2 DenseNet201 transfer learning algorithms this study for identifying diseases. For work, 5,702 images were collected from dataset Plant Village dataset. The datasets include valid, test, train subdirectories, taken on 5...

Prostate cancer diagnosis is a critical area in oncology where accurate and timely identification of malignancy imperative for effective treatment. In this paper, we propose an approach that integrates BERT (Bidirectional Encoder Representations from Transformers) embeddings with SVM the task prostate diagnosis. Leveraging BERT's ability to capture complex contextual relationships within textual medical data, extract clinical features utilize RBF kernel construct robust classification model....

Self-emulsifying drug delivery system (SEDDS) is successfully used to improve the aqueous solubility and oral bioavailability of poorly soluble drugs. Atorvastatin calcium (ATV), a having low bioavailability, was model for this study. The aim study find out suitable lipid surfactant which can be in formulation ATV-SEDDS done using ternary phase diagram, an important tool very essentially optimizing SEDDS formulations. Ternary diagrams lipid/surfactant/ATV mixture were constructed generate...

An adaptive, multiscale method for mass detection using a circular ring template and nonparametric test is presented. Training data corresponding to the local background intensity level extracted from outer of template. Test obtained inner disk. The statistical nature background, specifically tail structure unknown distribution, estimated via tolerance intervals. Mass based on fraction within tail. Empirical Receiver Operating Characteristic (ROC) curves show Sensitivity 1 False Positive...

Describes a new filter to enhance lesions in X-ray mammograms by extracting texture information within morphological template. A circular ring template is used characterize the features for certain types of lesions. Three texture-related (standard deviation, skew and kurtosis) are applied visual enhancement The results showed that enhanced visualization typical lesion creating "halo" response surrounding lesion. standard kurtosis were sensitive roughness, presence peaks abrupt changes...

This study was conducted with the aim of formulating injectable in-situ forming implants biodegradable poly (D,L-poly lactic acid) (DLPLA) steroidal drugs. Two drugs betamethasone sodium phosphate and dexamethasone were selected as model drug. Different hydrophobic excipients such sorbitan esters lauric acid (Span 20), oleic 80), cetyl alcohol, glyceryl monostearate, dibehenate (CompritolAT088®), palmito-stearic ester (Precirol®) used. In-vitro dissolution 7 days performed to investigate...