Search

Common pool land and water resources in India play vital, but often overlooked, roles in livelihoods and ecosystem services. These resources are subject to the authority of various government departments and are often managed in ways that result in uncertain tenure for the people who depend on these resources for fodder, fuel, water, and other products. An Indian NGO, the Foundation for Ecological Security (FES), has developed a process for "commoning"--assisting communities to secure the commons by forming inclusive local institutions to manage the resources, and to work with different government departments to gain stronger rights to the commons. This paper applies polycentricity theory to examine the institutional arrangements that govern the commons in FES sites in Andhra Pradesh and Karnataka states and assesses relationships that may affect commons management. It draws on key informant interviews and village-level social network mapping exercises (Net-mapping) to show the complex flows of resources, information, and influence related to the commons among habitation-level organizations, local government, resource agencies, the rural employment guarantee program (MGNREGA), and NGOs. This paper discusses the potential of this methodology as a diagnostic tool to help understand community perceptions of the role of various stakeholders in overall governance of the commons, and can provide guidance for interventions to help communities to strengthen their tenure on the commons and management of those resources. [ABSTRACT FROM AUTHOR]

In this paper, ASD is diagnosed using brain magnetic resonance imaging (MRI) enabled deep learning with a hybrid optimization algorithm." Keywords: Andhra Pradesh; India; Asia; Autism; Autism Spectrum Disorders; Developmental Disabilities; Developmental Diseases and Conditions; Health and Medicine; Mental Health; Neurology EN Andhra Pradesh India Asia Autism Autism Spectrum Disorders Developmental Disabilities Developmental Diseases and Conditions Health and Medicine Mental Health Neurology 260 260 1 07/17/23 20230721 NES 230721 2023 JUL 17 (NewsRx) -- By a News Reporter-Staff News Editor at Mental Health Weekly Digest -- Investigators publish new report on Developmental Diseases and Conditions - Autism Spectrum Disorders. [Extracted from the article]

This paper introduces an automated system that identifies hypertension retinopathy in the early stage of hypertension. Andhra Pradesh, India, Asia, Cardiovascular Diseases and Conditions, Fuzzy Logic, Health and Medicine, Hypertension, Hypertensive Retinopathy, Ophthalmology, Retinopathy Keywords: Andhra Pradesh; India; Asia; Cardiovascular Diseases and Conditions; Fuzzy Logic; Health and Medicine; Hypertension; Hypertensive Retinopathy; Ophthalmology; Retinopathy EN Andhra Pradesh India Asia Cardiovascular Diseases and Conditions Fuzzy Logic Health and Medicine Hypertension Hypertensive Retinopathy Ophthalmology Retinopathy 744 744 1 04/24/23 20230425 NES 230425 2023 APR 24 (NewsRx) -- By a News Reporter-Staff News Editor at Cardiovascular Week -- Research findings on Cardiovascular Diseases and Conditions - Hypertension are discussed in a new report. [Extracted from the article]

India has been making policies relating to the water, sanitation and hygiene (WASH) sector since independence. The 2010 policy guidelines for the water and sanitation sectors have embarked on a new path of water security by identifying and emphasizing the importance of hitherto nagging bottlenecks in sustainable service delivery. This paper attempts to assess these policy guidelines critically and suggest ways to make them effective from the point of view of putting them into operation. This paper argues the following. (i) WASH sector financing needs to be addressed directly with realistic assessment of unit costs and their composition. (ii) Within the WASH sector sanitation needs special focus in terms of planning and allocations. Treating sanitation as an add-on to water would not be enough to improve the sanitation and hygiene conditions. The approach to sanitation needs to be focused on creating demand at the household level, segregating private and public responsibilities in this regard. (iii) Although the new guidelines try to bring a much needed balance between the cost components of new capital investment, they are not clear about post-construction support, especially capital maintenance and ring fencing the allocations towards O&M (operations and maintenance), as well as emphasizing that capital maintenance is critical for sustainable service delivery. [ABSTRACT FROM AUTHOR]

Keywords: Andhra Pradesh; India; Asia; Cyborgs; Digestive System Diseases and Conditions; Emerging Technologies; Health and Medicine; Liver Diseases and Conditions; Machine Learning EN Andhra Pradesh India Asia Cyborgs Digestive System Diseases and Conditions Emerging Technologies Health and Medicine Liver Diseases and Conditions Machine Learning 646 646 1 04/03/23 20230404 NES 230404 2023 APR 3 (NewsRx) -- By a News Reporter-Staff News Editor at Gastroenterology Week -- Researchers detail new data in Liver Diseases and Conditions. Machine Learning (ML) is an advanced soft-computing technique that plays a critical role in predicting and detecting serial chronic diseases, thereby automating the diagnosis.". [Extracted from the article]

According to news originating from Andhra Pradesh, India, by NewsRx correspondents, research stated, "Artificial intelligence advancements, particularly deep learning algorithms, are helpful for identifying, classifying, and rating designs in clinical images. India, Asia, Clinical Oncology, Diagnostics and Screening, Health and Medicine, Andhra Pradesh Keywords: Andhra Pradesh; India; Asia; Clinical Oncology; Diagnostics and Screening; Health and Medicine EN Andhra Pradesh India Asia Clinical Oncology Diagnostics and Screening Health and Medicine 2023 FEB 14 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Weekly -- Current study results on Clinical Oncology have been published. [Extracted from the article]

A recent study conducted in Andhra Pradesh, India, focused on developing a dual cascaded deep learning approach for the segmentation of brain tumors in MRI scans. The research aimed to enhance the precision and robustness of tumor segmentation by integrating L-Net and W-Net deep learning models. Results showed that the proposed cascaded model outperformed individual models and other state-of-the-art segmentation methods, achieving high segmentation accuracy and the ability to correctly identify tumor regions while excluding healthy tissues. The study concluded that the cascaded scheme leveraged the strengths of each network, leading to superior performance compared to existing literature. [Extracted from the article]

A systematic review and meta-analysis conducted by the National Institute of Medical Sciences in Saudi Arabia examined the prevalence of antimicrobial resistance (AMR) and drug resistance in the country. The study found that the prevalence of AMR was alarmingly high, with the most resistant pathogens being carbapenem-resistant Enterobacteriaceae (CRE), extended-spectrum -lactamase-producing Enterobacteriaceae (ESBL), and methicillin-resistant Staphylococcus aureus (MRSA). The study also identified risk factors associated with AMR, including prior antibiotic use, healthcare-associated infections, and prolonged hospital stays. The findings highlight the urgent need for improved surveillance measures and interventions to reduce the burden of AMR in Saudi Arabia. [Extracted from the article]

A study conducted at the GMR Institute of Technology in Andhra Pradesh, India, has introduced a new technique called recurrent Shephard convolutional neural network (R_ShCNN) for predicting heart disease. The researchers utilized big data and deep embedded clustering for data partitioning, as well as missing data imputation and linear normalization for pre-processing. The R_ShCNN achieved a specificity of 92.3%, accuracy of 89.5%, and sensitivity of 90.9% in predicting heart disease. This research has been peer-reviewed and published in the International Journal of Ad Hoc and Ubiquitous Computing. [Extracted from the article]

A study conducted by the ECE Department in Andhra Pradesh, India, has revealed a new solution for mosquito control in open-style drainages. The study found that mosquito breeding primarily occurs in drainage systems, leading to the spread of diseases such as yellow fever, dengue fever, and malaria. The researchers developed a smart drainage cleaning system that operates along rails installed on the drainage side walls, conducting daily cleaning routines and applying chemicals to control mosquito populations. The system has been successfully implemented and tested in Andhra Pradesh and proves to be an effective tool for mosquito population control. [Extracted from the article]

Water, sanitation and hygiene (WASH) service levels remain stubbornly low in rural India despite high levels of public expenditure recently. In many areas, this is because service levels have slipped back for reasons including inadequate protection of water sources (quantity and quality) and more attention given to capital expenditure than expenditure on operational and capital maintenance. This paper argues that adoption of a life-cycle cost approach (LCCA) could play a significant role in rectifying this by providing a framework for identifying and plugging gaps in the present pattern of expenditure. It is argued that LCCA will provide a sound basis for implementing the WASH Guidelines released by the Rajiv Gandhi National Drinking Water Mission in 2010. These guidelines signal a shift away from viewing the provision of WASH services as primarily an engineering challenge to one that requires activities that include source protection, institution building and long-term support and pro-poor planning, all of which need to be budgeted for by WASH service providers and/or users. Preliminary findings indicate that LCCA can be used to assess actual life-cycle costs of sustainable, equitable and efficient WASH service delivery. The challenge now is to investigate how best LCCA can be mainstreamed into WASH planning and other governance processes. [ABSTRACT FROM AUTHOR]

A study conducted at Andhra University in Andhra Pradesh, India, has developed a novel enhancement algorithm called EGF AGC (Enhanced Guided Filter+Adaptive Gamma Correction) for color fundus retinal images. The algorithm aims to address the issue of low-quality retinal images, which can hinder accurate diagnosis, particularly when using automated image analysis software. The proposed method involves four steps, including the use of a hybrid filter to enhance image details, the application of an enhanced guided filter method, and the utilization of the Adaptive Gamma Correction method to address uneven illumination issues. The study found that the proposed algorithm produced competitive results and eliminated degradation caused by low-quality fundus images. [Extracted from the article]

A study conducted by the Koneru Lakshmaiah Education Foundation in Andhra Pradesh, India, focuses on the early diagnosis and classification of diabetic retinopathy, a condition that can lead to blindness in diabetic patients. The researchers propose a methodology that involves data preprocessing, image-enhancing techniques, segmentation, feature extraction, and classification using an improved Naive Bayes classifier. The study demonstrates that the improved classifier accurately diagnoses diabetic retinopathy from retinal fundus images with a high level of accuracy. The research provides valuable insights into the use of optimization algorithms and machine learning in the field of ophthalmology. [Extracted from the article]

Researchers at the Department of Electrical and Communication Engineering in Andhra Pradesh, India, have developed a novel approach for automated dysarthria detection and severity assessment using a variable short-time Fourier transform layered convolutional neural networks (CNN) model. Dysarthria is a speech disorder characterized by difficulties in articulation. The model was evaluated on two datasets and achieved the highest accuracy in detecting dysarthria and assessing its severity when using pre-emphasis filtering (PEF) with 5 learnables. This research contributes to the advancement of objective dysarthria assessment, aiding in early diagnosis and personalized treatment for individuals with speech disorders. [Extracted from the article]

A recent report from investigators at the School of Computing Science and Engineering in Andhra Pradesh, India, introduces a new method called Extraction of Classification Rules from Convolutional Neural Network (ECRCNN) for predicting heart disease. The ECRCNN algorithm analyzes convolutional neural networks to extract understandable rules, providing valuable insights into the contributing factors of heart disease. The algorithm's performance was assessed using the Statlog (Heart) dataset, and the results showed that it effectively predicts heart disease and extracts meaningful rules. This research aims to bridge the gap between the accuracy of convolutional neural networks and the interpretability necessary for informed decision-making in heart disease prediction. [Extracted from the article]

A recent study conducted in Andhra Pradesh, India, focused on the detection and classification of diabetic retinopathy (DR), a condition that can lead to blindness if left untreated. The researchers proposed an enhanced Gaussian distribution-based image enhancement and segmentation method to detect DR. They also utilized an improved regularization function in a convolution neural network (CNN) to automatically detect lesions in retina images and reduce overfitting. The study concluded that the improved CNN model was efficient in diagnosing diabetic retinopathy. This research has been peer-reviewed and provides valuable insights into the detection and classification of DR. [Extracted from the article]

A study conducted by researchers at the GMR Institute of Technology in Andhra Pradesh, India, focuses on the accurate segmentation of lung nodules in CT scans for the early detection and diagnosis of lung cancer. The researchers propose a new approach called Wavelet U-Net++ that combines the U-Net++ architecture with wavelet pooling to capture both high and low frequency information in the image, resulting in improved segmentation accuracy. The approach was evaluated on a dataset of CT scans with annotated lung nodules and outperformed several state-of-the-art segmentation methods. The study concludes that the combination of wavelet pooling with the U-Net++ architecture is effective for accurate segmentation of lung nodules. [Extracted from the article]

A recent study conducted by the Koneru Lakshmaiah Education Foundation in Andhra Pradesh, India, explores the use of data mining techniques to accurately classify food crops. The researchers propose a classification model that involves pre-processing the dataset, clustering the data based on relevance, and performing classification using an Adaptive Capsule Transient Auto-Encoder (ACTAE). The experimental validation of this approach demonstrated an overall accuracy rate of 97%, surpassing other existing crop classification models. This research has been peer-reviewed and provides valuable insights into improving crop mapping techniques. [Extracted from the article]

A report from researchers in Andhra Pradesh, India discusses the use of cloud computing, artificial intelligence (AI), and machine learning in predicting diabetes. The researchers propose a paradigm for smart healthcare systems that utilize data science and cloud-enabled platforms. They use data science capabilities to rank features and make predictions using a neural network model. The accuracy achieved by the classifier is 77.9%, with a positive predictive value of 79.3%. The research has been peer-reviewed and can be found in the journal Multimedia Tools and Applications. [Extracted from the article]

India, Asia, Heart Disease, Andhra Pradesh, Cardiovascular Diseases and Conditions, Heart Disorders and Diseases Keywords: Andhra Pradesh; India; Asia; Cardiovascular Diseases and Conditions; Heart Disease; Heart Disorders and Diseases EN Andhra Pradesh India Asia Cardiovascular Diseases and Conditions Heart Disease Heart Disorders and Diseases 45 45 1 10/16/23 20231020 NES 231020 2023 OCT 22 (NewsRx) -- By a News Reporter-Staff News Editor at Heart Disease Weekly -- Current study results on Heart Disorders and Diseases - Heart Disease have been published. [Extracted from the article]

Retinopathy of Prematurity (ROP) and Diabetic Retinopathy (DR) are the foremost factors of vision impairments in children and youngsters correspondingly." Keywords: Andhra Pradesh; India; Asia; Diabetic Angiopathies; Diabetic Retinopathy; Eye Diseases and Conditions; Health and Medicine; Neonatology; Nutritional and Metabolic Diseases and Conditions; Ophthalmology; Prematurity; Retinal Diseases and Conditions; Retinopathy; Retinopathy of Prematurity; Vascular Diseases and Conditions EN Andhra Pradesh India Asia Diabetic Angiopathies Diabetic Retinopathy Eye Diseases and Conditions Health and Medicine Neonatology Nutritional and Metabolic Diseases and Conditions Ophthalmology Prematurity Retinal Diseases and Conditions Retinopathy Retinopathy of Prematurity Vascular Diseases and Conditions 153 153 1 08/21/23 20230821 NES 230821 2023 AUG 21 (NewsRx) -- By a News Reporter-Staff News Editor at Diabetes Week -- Investigators publish new report on Eye Diseases and Conditions - Retinopathy of Prematurity. [Extracted from the article]

Keywords: Andhra Pradesh; India; Asia; Cyborgs; Diabetic Angiopathies; Diabetic Retinopathy; Edema; Emerging Technologies; Eye Diseases and Conditions; Health and Medicine; Machine Learning; Nutritional and Metabolic Diseases and Conditions; Ophthalmology; Retinal Diseases and Conditions; Retinopathy; Support Vector Machines; Vascular Diseases and Conditions; Vector Machines EN Andhra Pradesh India Asia Cyborgs Diabetic Angiopathies Diabetic Retinopathy Edema Emerging Technologies Eye Diseases and Conditions Health and Medicine Machine Learning Nutritional and Metabolic Diseases and Conditions Ophthalmology Retinal Diseases and Conditions Retinopathy Support Vector Machines Vascular Diseases and Conditions Vector Machines 256 256 1 08/14/23 20230814 NES 230814 2023 AUG 14 (NewsRx) -- By a News Reporter-Staff News Editor at Diabetes Week -- Current study results on Nutritional and Metabolic Diseases and Conditions - Diabetic Retinopathy have been published. For more information on this research see: A Combined U-net and Multi-class Support Vector Machine Learning Models for Diabetic Retinopathy Macula Edema Segmentation and Classification Dme. [Extracted from the article]

Keywords: Andhra Pradesh; India; Asia; Cancer; Cancer Detection; Health and Medicine; Oncology; Skin Cancer; Skin Neoplasms EN Andhra Pradesh India Asia Cancer Cancer Detection Health and Medicine Oncology Skin Cancer Skin Neoplasms 432 432 1 07/10/23 20230711 NES 230711 2023 JUL 11 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Weekly -- Data detailed on Oncology - Cancer Detection have been presented. Andhra Pradesh, India, Asia, Cancer, Cancer Detection, Health and Medicine, Oncology, Skin Cancer, Skin Neoplasms. [Extracted from the article]

Andhra Pradesh, India, Asia, Obesity Fitness and Wellness, Algorithms Keywords: Andhra Pradesh; India; Asia; Obesity Fitness and Wellness; Algorithms EN Andhra Pradesh India Asia Obesity Fitness and Wellness Algorithms 512 512 1 07/03/23 20230703 NES 230703 2023 JUL 3 (NewsRx) -- By a News Reporter-Staff News Editor at Cardiovascular Week -- Researchers detail new data in Obesity, Fitness and Wellness. [Extracted from the article]

Keywords: Andhra Pradesh; India; Asia; Life Science; Health and Medicine; Networks; Neural Networks; Pathology EN Andhra Pradesh India Asia Life Science Health and Medicine Networks Neural Networks Pathology 214 214 1 04/10/23 20230414 NES 230414 2023 APR 15 (NewsRx) -- By a News Reporter-Staff News Editor at TB & Outbreaks Week -- Current study results on Life Science have been published. Andhra Pradesh, India, Asia, Life Science, Health and Medicine, Networks, Neural Networks, Pathology. [Extracted from the article]