Estimation of Population Mean Using Exponential Type Imputation Technique for Missing Observations

Some imputation techniques are suggested for estimating the population mean when the data values are missing completely at random under a simple random sample without replacement scheme. Two classes of point estimators are proposed. The bias and mean squared error expressions of the proposed point estimators are derived up to first order of approximation. It has been shown that the proposed point estimators are more efficient than some existing point estimators due to Lee, Rancourt, and Sarndal (1994) and Singh and Horn (2000). Theoretical findings are supported by an empirical study based on five populations to show the superiority of the constructed estimators and methods of imputation over others

Improving Deep Learning-based Defect Detection on Window Frames with Image Processing Strategies

Detecting subtle defects in window frames, including dents and scratches, is vital for upholding product integrity and sustaining a positive brand perception. Conventional machine vision systems often struggle to identify these defects in challenging environments like construction sites. In contrast, modern vision systems leveraging machine and deep learning (DL) are emerging as potent tools, particularly for cosmetic inspections. However, the promise of DL is yet to be fully realized. A few manufacturers have established a clear strategy for AI integration in quality inspection, hindered mainly by issues like scarce clean datasets and environmental changes that compromise model accuracy. Addressing these challenges, our study presents an innovative approach that amplifies defect detection in DL models, even with constrained data resources. The paper proposes a new defect detection pipeline called InspectNet (IPT-enhanced UNET) that includes the best combination of image enhancement and augmentation techniques for pre-processing the dataset and a Unet model tuned for window frame defect detection and segmentation. Experiments were carried out using a Spot Robot doing window frame inspections . 16 variations of the dataset were constructed using different image augmentation settings. Results of the experiments revealed that, on average, across all proposed evaluation measures, Unet outperformed all other algorithms when IPT-enhanced augmentations were applied. In particular, when using the best dataset, the average Intersection over Union (IoU) values achieved were IPT-enhanced Unet, reaching 0.91 of mIoU

Electric field Induced Patterns in Soft Visco-elastic films: From Long Waves of Viscous Liquids to Short Waves of Elastic Solids

We show that the electric field driven surface instability of visco-elastic films has two distinct regimes: (1) The visco-elastic films behaving like a liquid display long wavelengths governed by applied voltage and surface tension, independent of its elastic storage and viscous loss moduli, and (2) the films behaving like a solid require a threshold voltage for the instability whose wavelength always scales as ~ 4 x film thickness, independent of its surface tension, applied voltage, loss and storage moduli. Wavelength in a narrow transition zone between these regimes depends on the storage modulus.Comment: Accepted for Publication in Physical Review Letter

FORMULATION AND EVALUATION OF DOXORUBICIN CONTAINING NANOGELS FOR DELIVERY TO CANCER CELLS

The objective of this study is to prepare nanogels were prepared via charged gellan gum. It was prepared by in situ cross linking reaction between two oppositely charged materials by green method without use of chemical cross linking agents. The prepared nanogels were characterized by Dynamic light scattering, scanning electron microscopy, differential scanning calorimetry and X- Ray diffractometry. The prepared formulation had average particle size of 226 nm with polydispersity index of 0.3. The doxorubicin loaded nanogel demonstrated sustained release for 20 h. The prepared nanogels were hemocompatible and cyctocompatible as revealed by hemocompatibility and MTT assay respectively. All results confirmed that these nanogels can be used for cancer treatment. Keywords: Nanogel, Chitosan, Gellan gum, Doxorubicin, Cancer

TARGETED NANOTECHNOLOGY FOR ANTICANCER DRUG DELIVERY: CURRENT ISSUE AND CHALLENGE

The main aim of nonmaterials is optimization on site of action at tumors cells as well least toxicity by its formulation. Only to progress the biodistribution of neoplasia drugs, nanoparticles are designed for optimal size and surface individuality to expand their flow time within the blood circulation. They are also proficient to carry their laden active drugs to cancer cells by using the single functional changes of tumors, as like their improved permeability and preservation result and the tumor microenvironment. In this study report, we have discussed the current status of nanoparticles developed as targeting delivery systems for anticancer drugs. Keywords: Cancer, Drug Delivery, Nanomedicine, Chemotherapy, Liposome&nbsp

Defluoridation of Ground Water Using Activated Carbon of Ber (Indian Jujube) Leaves

The present study deals with defluoridation of ground water using activated carbon of ber (Indian jujube) leaves. In this study, Activated Ber leaves carbon (ABLC) prepared by heating the leaves in electric furnace was found to be useful for the removal of fluoride. Batch experiments were applied on water sample to study the influence of pH, adsorbent dose and contact time on adsorption efficiency. Fluoride removal reached a maximum of 72.5% by particle size 0.3mm of ABLC at pH 6.0. The adsorption of fluoride from aqueous solution with ABLC followed Freundlich equation. The values of adsorption capacity (K) and intensity of adsorption (1/n) indicate greater affinity for fluoride. Thermally activated Ber leaves carbon (ABLC) was good adsorbent

Prevalence of goitre, iodine uptake and salt iodization level in Mahasamund district of Chhattisgarh: a baseline study in Central India

Background: Iodine deficiency disorder (IDD) is the single most important preventable cause of brain damage. Iodine deficiency disorders (IDDs) refer to all of the consequences of iodine deficiency in a population, which can be prevented by taking adequate amount of Iodine.  The objectives was to ascertain the prevalence goitre among 6-12 year children by clinical examination in Mahasamund district; 2) to document the iodine uptake status reflected by random urinary excretion levels in a sub-sample of 6-12 year children covered for clinical examination, and 3) to evaluate the coverage of iodized salt at community level (i.e. at household and retail shop) on-the-spot test by using rapid salt testing kit.Methods: A cross sectional community based survey was done in Mahasamund district during April 2015 to September 2015. The study population was children in the age group of 6-12 years. 30 cluster sampling methodology was applied using PPS sampling technique, based on latest survey guidelines of NIDDCP of Govt. of India. The parameters studied were prevalence of goitre, urinary iodine excretion, and iodine content in salt at community level (i.e. household and shop).Results: A total of 2700 children aged from 6-12 years were assessed clinically for goitre. The total goitre prevalence was 4.29% (95% CI: 3.3-5.27). The median urinary iodine excretion (MUIE) was 106.67μg/L (range 11-216.7μg /L) among surveyed children.  37.4% of the urinary iodine excretion values were <100 μg/L. The households consuming inadequately iodized salt (i.e. iodine content ≤15 ppm) was 20% in the surveyed district.Conclusions: Although prevalence of goitre and median urinary iodine excretion among surveyed population was found satisfactory against the norms set by NIDDCP in surveyed district but universal salt iodization (USI) is yet to achieve in surveyed district.