Customer Usages towards E-Banking

E-Banking is electronic banking which is used by the customer to access transactions electronically through the internet. It is a product designed for online banking that enables customers to have easy and safe access to their bank account. With this service customers save their time by carrying out banking transactions at any place and at any time, from their home or office, all their need is internet access. This study shows a result of e-banking usages of the customers. A hundred respondents are selected to interpret this present study

Red Deer Optimization with Deep Learning based Robust White Blood Cell Detection and Classification Model

The use of deep learning techniques for White Blood Cell (WBC) classification has garnered significant attention on medical image analysis due to its potential to automate and enhance the accuracy of WBC classification, which is critical for disease diagnosis and infection detection. Convolutional neural networks (CNNs) have revolutionized image analysis tasks, including WBC classification effectively capturing intricate spatial patterns and distinguishing between different cell types. A key advantage of deep learning-based WBC classification is its capability to handle large datasets, enabling models to learn the diverse variations and characteristics of different cell types. This facilitates robust generalization and accurate classification of previously unseen samples. In this paper, a novel approach called Red Deer Optimization with Deep Learning for Robust White Blood Cell Detection and Classification was presented. The proposed model incorporates various components to improve performance and robustness. Image pre-processing involves the utilization of median filtering, while U-Net++ is employed for segmentation, facilitating accurate delineation of WBCs. Feature extraction is performed using the Xception model, which effectively captures informative representations of the WBCs. For classification, BiGRU model is employed, leveraging its ability to model temporal dependencies in the WBC sequences. To optimize the performance of the BiGRU model, the RDO is utilized for parameter tuning, resulting in enhanced accuracy and faster convergence of the deep learning models. The integration of RDO contributes to more reliable detection and classification of WBCs, further improving the overall performance and robustness of the approach. Experimental results demonstrate the superiority of our Red Deer Optimization with deep learning-based approach over traditional methods and standalone deep learning models in achieving robust WBC detection and classification. This research highlights the possibility of combining deep learning techniques with optimization algorithms for improving WBC analysis, offering valuable insights for medical professionals and medical image analysis

Hybrid Techniques On Color And Multispectral Image For Compression

Image Compression is a technique to reduce the number of bits required to represent and store an image. This technique is also used to compress two dimensional color shapes without loss of data as well as quality of the Image. Even though Simple Principal Component Analysis can apply to make enough compression on multispectral image, it needs to extend another version called Enhanced PCA(E-PCA). The given multispectral image is converted into component image and transformed as Column Vector with help of E-PCA. Covariance matrix and eigen values are derived from vector. Multispectral images are reconstructed using only few principal component images with the largest variance of eigen value. Then the component image is divided into block. After finding block sum value, mean value, the number of bits required to represent an image can be reduced by E-BTC model. The features are extracted and constructed in Table form. The proposed algorithm is repeated for all multispectral images as well as color image in the database. Finally, compression ratio table is generated. This proposed algorithm is tested and implemented on various parameters such as MSE, PSNR. These experiments are initially carried out on the standard color image and are to be followed by multispectral imager using MATLAB

THEORETICAL ANALYSIS OF A WET COOLING TOWER FOR FRESH WATER FROM PLUME AND ANALYZING AN INDUSTRIAL COOLING TOWER BASED ON RESULTS

A cooling tower is a heat rejection device which rejects waste heat to the atmosphere through the cooling of a water stream to a lower temperature. The stream of saturated exhaust air leaving the cooling tower called the plume is visible when water vapor it contains condenses in contact with cooler ambient air, like the saturated air in one's breath fogs on a cold day. Under certain conditions, the cooling tower plume may present fogging or icing hazards to its surroundings and gives some environmental problems. To find the solution for this problem a cooling tower has been analysed based on air flow rate through the tower and the cooling load to obtain fresh water yield by utilising plume from cooling tower top. The theoretical analysis gives the values of important parameters Theoretical analysis has been done on wet cooling tower by varying the water flow rate through which affect the performance of a cooling tower such as the cooling range, effectiveness, approach, fresh water yield etc. Then with the conditions of a trials from the analysis, the mass flow rate of water in the cooling tower was scaled up to match the mass flow rate of water in an industrial cooling tower. This helps in obtaining the mass flow rate of the air and fresh water yield through the industrial cooling tower

Iron environment non-equivalence in both octahedral and tetrahedral sites in NiFe2O4 nanoparticles: study using Mössbauer spectroscopy with a high velocity resolution

Mössbauer spectrum of NiFe2O4 nanoparticles was measured at room temperature in 4096 channels. This spectrum was fitted using various models, consisting of different numbers of magnetic sextets from two to twelve. Non-equivalence of the 57Fe microenvironments due to various probabilities of different Ni2+ numbers surrounding the octahedral and tetrahedral sites was evaluated and at least 5 different microenvironments were shown for both sites. The fit of the Mössbauer spectrum of NiFe 2O4 nanoparticles using ten sextets showed some similarities in the histograms of relative areas of sextets and calculated probabilities of different Ni2+ numbers in local microenvironments. © 2012 American Institute of Physics

Evaluation of effectiveness of hot mustard pack with fomentation on patients with lumbar spondylosis

OBJECTIVE: To evaluate the effectiveness of Hot Mustard Pack with Fomentation (HMPF) on Low Back Pain (LBP) in patients with Lumbar Spondylosis. BACKGROUND: Lumbar spondylosis can be described as all degenerative conditions affecting the disks, vertebral bodies, and associated joints of the lumbar vertebrae and neurologic claudication, which includes: lower back pain, leg pain, numbness when standing and walking. Previous literatures have reported that mustard plasters are very effective in the reduction of pain among patients with various types of arthritis, knee pain, aching backs, etc. Present study envisioned towards evaluating the effect of HMPF on LBP. DESIGN: Pre and post Experimental study STUDY SETTING: Outpatients of Government Yoga and Naturopathy Medical College and Hospital (GYNMCH), Arumbakkam, Chennai. METHOD: The study included 30 subjects with lumbar spondylosis. The patients were randomly selected from the outpatient department of GYNMCH. The subjects abiding the inclusion and exclusion criteria were recruited to study the effect of hot mustard pack with fomentation. The pre-test and post-test data from the patients were collected and assessed with Visual Analogue Scale (VAS), Revised Oswestry Disability Index (RODI) and additionally with Neural Tension Test (NTT) and Range Of Motion (ROM). RESULT: The study showed significant detraction in the pain and inability variables of the study participants. The post intervention data showed significant reduction of pain, disability, NTT, and ROM comparatively to that of the pre intervention data. CONCLUSION: The study concluded that the effect of Hot Mustard Pack with Fomentation was very effective in reducing the severity of low back pain and disability in patients with lumbar spondylosis

Factors contribute to uncontrolled diabetes in diabetic population

ABSTRACT The present study was considered based on the prevalence of uncontrolled diabetes in a private multispeciality hospital with an aim to identify the factors contributing to uncontrolled diabetes in diabetic population. The study included 513 diabetic patients who met all inclusion criteria and none of the exclusion criteria and the data were collected using a well-designed interview questionnaire form. Uncontrolled diabetes was significantly high in male; illiterates; patients with regular alcohol and tobacco consumption; patients treated only with oral hypoglycemic drugs; patients with lack of knowledge about the disease, common symptoms, complications, normal glucose level, proper use of drug and diet control; patients who miss the dose regularly; patients taking drug at inappropriate time; patients without exercise; patients without diet control; patients without regular blood glucose monitoring; patients with frequent travelling. Factors such as gender, literacy status, alcohol and tobacco consumption, treatment strategy, patient's knowledge about disease and treatment, treatment noncompliance, exercise, diet, glucose monitoring has association with uncontrolled diabetes. Factors such as age, knowledge about the prescribed drug doesn't seem to have association with uncontrolled diabetes. However, the result of this pilot study needs to be validated using pivotal studies

Scaling and synchronization in a ring of diffusively coupled nonlinear oscillators

Chaos synchronization in a ring of diffusively coupled nonlinear oscillators driven by an external identical oscillator is studied. Based on numerical simulations we show that by introducing additional couplings at $(mN_c+1)$-th oscillators in the ring, where $m$ is an integer and $N_c$ is the maximum number of synchronized oscillators in the ring with a single coupling, the maximum number of oscillators that can be synchronized can be increased considerably beyond the limit restricted by size instability. We also demonstrate that there exists an exponential relation between the number of oscillators that can support stable synchronization in the ring with the external drive and the critical coupling strength $\epsilon_c$ with a scaling exponent $\gamma$. The critical coupling strength is calculated by numerically estimating the synchronization error and is also confirmed from the conditional Lyapunov exponents (CLEs) of the coupled systems. We find that the same scaling relation exists for $m$ couplings between the drive and the ring. Further, we have examined the robustness of the synchronous states against Gaussian white noise and found that the synchronization error exhibits a power-law decay as a function of the noise intensity indicating the existence of both noise-enhanced and noise-induced synchronizations depending on the value of the coupling strength $\epsilon$. In addition, we have found that $\epsilon_c$ shows an exponential decay as a function of the number of additional couplings. These results are demonstrated using the paradigmatic models of R\"ossler and Lorenz oscillators.Comment: Accepted for Publication in Physical Review

EFFECTS OF AQUEOUS EXTRACT OF GLYCYRRHIZA GLABRA LINN. AND DIOSMETIN ON MODULATION OF SPATIAL MEMORY THROUGH ACETYLCHOLINESTERASE AND BRAIN-DERIVED NEUROTROPHIC FACTOR IN ETHANOL-INDUCED COGNITIVE IMPAIRMENT MODEL RATS

Objective: The objective of this research was to evaluate the cognitive impairment due to excessive consumption of alcohol and memory enhancement action of Glycyrrhiza glabra Linn. (AEGGL) and diosmetin (Dm). Methods: In this study, 36 adult male Wistar rats were divided into the six groups (n=6) and eight-arm radial maze, narrow beam test, and open field behavior parameters were assessed on day 1, 10, and 21. After the 21 days of experiment, animals were sacrificed, and blood samples were collected for serum acetylcholinesterase (AChE) and brain-derived neurotrophic factor (BDNF) estimation. We have also analyzed the morphology of CA3 region of the hippocampus. Results: The results of this study suggested that AEGGL and Dm treatment could be the potential drugs for ethanol-induced cognitive impairment. Conclusion: Ethanol-induced cognitive impairment was recovered by AEGGL and Dm treatment, we suggested that this might be due to anticholinesterase activity and increased synthesis of BDNF levels in the brain. Further, researches are warranted to understand the exact mechanism of action of drugs