A critical analysis of Dosha Prakopa Nidana in the Samprapti of Artava Dushti w.s.r. to Polycystic Ovarian Syndrome - A Review

Manifestation of disease is impossible without Dosha Prakopa & Sammurchana with Dushya. Dosha Vaishamya, mainly Dosha Prakopa is an essential step in manifesting the Samprapti & understood by assessing the Nidana with that the Dosha involved in the Samprapti can be done helps in Samprapti Vighatana & to avoid disease manifestation.  Artava Dushti refer to the vitiation of Artava that is seen as complexity of symptoms with reference to polycystic ovarian syndrome (PCOS). Dosha Prakopa occurs due to the Gunataha Vrddhi after the Nidana Sevana and thus lead to the manifestation of the disease. PCOS is defined as hyperandrogenic state, the presence of clinical and / or biochemical features of hyperandrogenism along with other features of PCOS that is the revised Rotterdam criteria (2013) having several symptoms and correlated to several Vikara in Ayurveda

DRUG UTILIZATION PATTERN IN CHRONIC OBSTRUCTIVE PULMONARY DISEASE INPATIENTS AT A TERTIARY CARE HOSPITAL

Objective: Drug utilization studies provide useful insights into the current prescribing practices. In view of this, the present study was designed to establish the drug utilization pattern in hospitalized chronic obstructive pulmonary disease (COPD) patients.Methods: In this retrospective study, all patient data relevant to the study were obtained by examination of patient's medical records and hospital information system.Results: A total of 237 patients with acute exacerbation were evaluated. The population predominantly consisted of males (92.4%) and most of the patients were in the age group of 61 to 70 y (39.7%). Cough, sputum production and dyspnea were observed in 88.2%, 80.6% and 37.6% patients, respectively. Hypertension (49.4%) was the most common co-morbidity. Candida albicans (16%) and Pseudomonas aeruginosa (4.6%) were the most common microorganisms isolated from sputum samples. Majority of the patients were on multidrug therapy during both hospital stay (98.7%) and at the time of discharge (99.6%). During hospital stay, the most commonly prescribed drugs were ipratropium (91.6%) and levosalbutamol (88.2%); antibiotics and systemic corticosteroids were received by 96.2% and 83.1% patients, respectively. At discharge, antibiotics, inhaled corticosteroids, methyl xanthines, long acting beta-2 agonist and tiotropium were received by 94.1%, 93.7%, 92.4%, 86.1% and 56.5% patients, respectively.Conclusion: The prescribing trend observed at our hospital appears to be in concordance with the current guidelines for the management of COPD patients.Â

Exploring the adequacy of informed consent for caesarean section at a tertiary care center

Background: The objective was to study adequacy of valid informed consent in caesarean section and to quantify the proportion of patients who receive a proper informed consent before undergoing caesarean section.Methods: A cross-sectional questionnaire-based study involving 200 registered antenatal women undergoing caesarean section for various reasons both as elective or emergency basis, and data was analyzed.Results: Among the study group, 98.5% patients were informed about the said procedure in their own local language and consent was taken, in 3 (1.5%) patients informed consent was not taken. Detailed procedure was explained to only 29 patients (14.5%) whereas 171 patients (85.5%) had no clue about the detailed nature of the procedure. 193 patients (96.5%) were satisfied with the given informed patients; 7 patients (3.5%) were not satisfied.Conclusions: Women need consistent and adequate information for consent. Sessions should be held regarding the procedure, its risks and benefits; in this way patient will undergo the procedure with proper knowledge, awareness and confidence.

Identification of Selected Persistent Organic Pollutants in Agricultural Land by Carbon Nitride (C3N5) Based Nano Sensors

Efficient detection of selected persistent organic pollutants (POPs) is extremely important for the safety of humans and for the moderation of agriculture. This calls for the design of versatile nanosensors capable of sensing toxic POPs with high sensitivity and selectivity. Inspired by this, the sensing characteristics of carbon nitride (C3N5) monolayers toward selected POPs are reported, such as Dichlorodiphenyltrichloroethane (DDT), Methoxychlor (DMDT), Fenthion (FT), Fenitrothion (FNT), and Rennol (RL), employing density functional theory calculations. Analysis of results predicts adsorption energies of −0.93, −1.55, −1.44, −0.98, and −1.15 eV for DDT, DMDT, FT, FNT, and RM, respectively, on C3N5 monolayers. Significant charge transfers among organic pollutants and C3N5 lead to distinct electronic properties of the conjugated complexes, revealed by the density of states, electrostatic potential, and work function calculations. To detect the selected pollutants in high humidity, the effects due to aqueous medium are considered. Additionally, a statistical thermodynamic analysis utilizing the Langmuir adsorption model is utilized to explore the influence of temperature and pressure

Agricultural Waste based Biocomposite for Electromagnetic Shielding Application

The enhanced significant use of electromagnetic wave introduces new type of pollution in the environment called Electromagnetic Interference (EMI). Different shielding techniques though successfully works in the present scenario but small efficiency of attenuation and absorption capacity of traditional ceramics demands some alternative potential material for enhanced shielding efficiency, which can be realised from agricultural waste such as rice husk, sugarcane bagasse, etc. Further, the shielding structure and composition of composite are the current issues which depend on the dielectric properties of the fabricated materials. In the current work, rice husk, an organic biomaterial rich in carbon, is combined with epoxy The enhanced significant use of electromagnetic wave introduces new type of pollution in the environment called Electromagnetic Interference (EMI). Different shielding techniques though successfully works in the present scenario but small efficiency of attenuation and absorption capacity of traditional ceramics demands some alternative potential material for enhanced shielding efficiency, which can be realised from agricultural waste such as rice husk, sugarcane bagasse, etc. Further, the shielding structure and composition of composite are the current issues which depend on the dielectric properties of the fabricated materials. In the current work, rice husk, an organic biomaterial rich in carbon, is combined with epoxy to create a microwave absorber that is flexible, inexpensive, and eco-friendly. The different microwave absorbing property such as complex dielectric, tangent loss, attenuation constant and Reflection Loss (RL) of −14.5 dB at frequency 10 GHz are found to be possessed by the synthesized composite of thickness 3 mm which is determined from composite’s dielectric values. The attenuation coefficient supports the measured values of RL, highlighting the significance of the suggested composite material with a power attenuation efficiency of around 87% for legitimate microwave absorption applications. The presence of good percentage of elemental combination like carbon, oxygen and silicon makes it possible for increasing the percentage of activated carbon which is not present in any other synthetic component for the same purpose. Further use of carbon rich waste material is an advantageous impetus for material industries to enhance the percentage of activated carbon for shielding purpose

Taxi Ride Based on Voice Alert System

Previous applications are not well efficient as they provide voice alerts only for the tagged locations whereas in this application voice alerts are given for any location to the user, in terms of time and distance. It would be useful even when we are out of home language/place. It is an integration of Google Maps and voice Alert. In this application, once the cab is booked it gives voice alert to the user about its current location and time it would reach the user\u27s location. This application also allows the user to know about the required nearby locations. The user can also pin any new landmark for their personal USAge into Google maps

Absorption Spectroscopic Studies of Chip-scale Rubidium Atomic Vapour Cells in a Compact 3D Printed Magneto-Optic Package

This paper describes the design, development and spectroscopic studies of chip-scale Rb atomic vapour cell developed in the authors’ laboratory. A compact magneto-optic package for the chip-scale Rb cell comprising of TEC integrated VCSEL source, silicon p-i-n photo detector and a hemispherical lens for light collimation is reported. The package is manufactured using commercial 3D printing technology. A PC based data acquisition system has been developed to provide real time analysis of the captured spectral data of the Rb chip by laser interrogation of the D1 hyperfine transition. Doppler broadened absorption resonance lines of technological importance have been recorded for transitions 85Rb(2S1/2 F=2→2P1/2 F′ =2,3) having absorption amplitude 1.24 V and FWHM 850 MHz and 87Rb(2S1/2 F=2 →2P1/2 F′ =1,2) has absorption amplitude 0.47 V and FWHM 567 MHz at cell temperature of 70 oC . Further, the chip-scale Rb atomic cell in the magneto-optical package will be explored to develop atomic sensors for space applications

Identification of Brain Tumor on Mri images with and without Segmentation using DL Techniques

Brain cancer is a critical disease that results in the deaths of many individuals. Early detection and classification of brain tumors is essential for effective treatment and improved patient outcomes. However, current manual examination of MRI images for tumor detection can be time-consuming and imprecise. In this project, we propose a computer-based system that utilizes image processing techniques and convolutional neural networks (CNNs) for accurate and efficient brain tumor detection and classification. Our system involves several stages, including image pre-processing, segmentation, feature extraction, and classification. By training a CNN on a large dataset of MRI images with known tumor types, our system can accurately detect and classify brain tumors based on extracted features. The results of our experiments demonstrate the effectiveness of our systemin accurately detecting and classifying brain tumors, with potential to greatly improve the accuracy and speed of diagnosis, and ultimately lead to improved patient outcomes. To explicitly depict the tumor region, we have also added the segmentation procedure

A Method for Amplicon Deep Sequencing of Drug Resistance Genes in Plasmodium falciparum Clinical Isolates from India.

A major challenge to global malaria control and elimination is early detection and containment of emerging drug resistance. Next-generation sequencing (NGS) methods provide the resolution, scalability, and sensitivity required for high-throughput surveillance of molecular markers of drug resistance. We have developed an amplicon sequencing method on the Ion Torrent PGM platform for targeted resequencing of a panel of six Plasmodium falciparum genes implicated in resistance to first-line antimalarial therapy, including artemisinin combination therapy, chloroquine, and sulfadoxine-pyrimethamine. The protocol was optimized using 12 geographically diverse P. falciparum reference strains and successfully applied to multiplexed sequencing of 16 clinical isolates from India. The sequencing results from the reference strains showed 100% concordance with previously reported drug resistance-associated mutations. Single-nucleotide polymorphisms (SNPs) in clinical isolates revealed a number of known resistance-associated mutations and other nonsynonymous mutations that have not been implicated in drug resistance. SNP positions containing multiple allelic variants were used to identify three clinical samples containing mixed genotypes indicative of multiclonal infections. The amplicon sequencing protocol has been designed for the benchtop Ion Torrent PGM platform and can be operated with minimal bioinformatics infrastructure, making it ideal for use in countries that are endemic for the disease to facilitate routine large-scale surveillance of the emergence of drug resistance and to ensure continued success of the malaria treatment policy