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130 result(s) for "Ram, Manoj Kumar"
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The New Frontiers of Organic and Composite Nanotechnology
The New Frontiers of Organic and Composite Nanotechnology is an attempt to illustrate current status of modern nanotechnology.The book is divided into 3 main sections, introduction and conclusion.The introduction describes general questions of the problem and main lines of the research activities.
Pityriasis versicolor in the pediatric age group
Pityriasis versicolor (PV) is a mild chronic infection of the skin caused by Malassezia yeasts. Although it is primarily seen in adults, children are often affected in the tropics . Over a period of 2 years, children (up to the age of 14 years) who were clinically and mycologically diagnosed as PV were included in the study. The clinical and epidemiological pattern in different age groups was noted. PV in this age group formed about 31% of the total cases of PV; 4.8% cases presented in infancy. The commonest site of involvement was the face in 39.9% of the cases. Most of the cases presented in summer months. PV is not an uncommon disease among children in the tropics. There is a sudden resurgence of cases in the hot monsoons and even infants are not spared.
Impact of Agrochemicals on Soil Microbiota and Management: A Review
The World Health Organization (WHO) states that in developing nations, there are three million cases of agrochemical poisoning. The prolonged intensive and indiscriminate use of agrochemicals adversely affected the soil biodiversity, agricultural sustainability, and food safety, bringing in long-term harmful effects on nutritional security, human and animal health. Most of the agrochemicals negatively affect soil microbial functions and biochemical processes. The alteration in diversity and composition of the beneficial microbial community can be unfavorable to plant growth and development either by reducing nutrient availability or by increasing disease incidence. Currently, there is a need for qualitative, innovative, and demand-driven research in soil science, especially in developing countries for facilitating of high-quality eco-friendly research by creating a conducive and trustworthy work atmosphere, thereby rewarding productivity and merits. Hence, we reviewed (1) the impact of various agrochemicals on the soil microbial diversity and environment; (2) the importance of smallholder farmers for sustainable crop protection and enhancement solutions, and (3) management strategies that serve the scientific community, policymakers, and land managers in integrating soil enhancement and sustainability practices in smallholder farming households. The current review provides an improved understanding of agricultural soil management for food and nutritional security.
A Scalable Brain Tumor Diagnosis from Large-Scale MRI Datasets Using CNN-ViT and Expert-Attention Fusions
Accurate and timely diagnosis of brain tumors is crucial for effective treatment planning, yet the rapid growth of medical imaging data presents significant challenges for manual interpretation. This paper introduces a novel, scalable hybrid deep learning framework designed for robust brain tumor classification from large-scale MRI datasets. Our architecture distinctively combines a Convolutional Neural Network (CNN) for fine-grained local feature extraction with a Vision Transformer (ViT) for modeling global contextual dependencies. To specifically address the challenge of tumor heterogeneity, we introduce a Mixture-of-Experts (MoE) layer that dynamically routes features to specialized subnetworks. Feature representation is further refined by a Multi-Head Latent Attention (MHLA) mechanism, which focuses on the most salient diagnostic information. A key aspect of our methodology is an iterative data-centric refinement strategy to enhance label reliability and reduce intra-class variability in large, potentially noisy datasets. Evaluated on a comprehensive four-class benchmark dataset (glioma, meningioma, pituitary, and no tumor), our model achieves state-of-the-art performance with 98.9% accuracy. This work contributes a scalable, accurate, and more interpretable AI pipeline that directly addresses the complexities of real-world medical big data, demonstrating a clear novelty in its synergistic integration of advanced neural components for a challenging clinical problem.
Revisiting the plant growth-promoting rhizobacteria: lessons from the past and objectives for the future
Plant beneficial rhizobacteria (PBR) is a group of naturally occurring rhizospheric microbes that enhance nutrient availability and induce biotic and abiotic stress tolerance through a wide array of mechanisms to enhance agricultural sustainability. Application of PBR has the potential to reduce worldwide requirement of agricultural chemicals and improve agro-ecological sustainability. The PBR exert their beneficial effects in three major ways; (1) fix atmospheric nitrogen and synthesize specific compounds to promote plant growth, (2) solubilize essential mineral nutrients in soils for plant uptake, and (3) produce antimicrobial substances and induce systemic resistance in host plants to protect them from biotic and abiotic stresses. Application of PBR as suitable inoculants appears to be a viable alternative technology to synthetic fertilizers and pesticides. Furthermore, PBR enhance nutrient and water use efficiency, influence dynamics of mineral recycling, and tolerance of plants to other environmental stresses by improving health of soils. This report provides comprehensive reviews and discusses beneficial effects of PBR on plant and soil health. Considering their multitude of functions to improve plant and soil health, we propose to call the plant growth-promoting bacteria (PGPR) as PBR.
Rehabilitation of canal irrigation schemes in India: a qualitative analysis
The article describes a brief history of canal irrigation development and rehabilitation measures taken up in the past. The processes leading to deterioration in the condition of canal irrigation systems, necessitating rehabilitation, have been described. Based on a survey of several irrigation commands in different agro-climatic zones, the problems in aged irrigation projects are presented. The purpose is to identify the technical and non-technical factors limiting the performance of canal irrigation systems. Regarding rehabilitation of canal irrigation systems, several policy issues have been raised and discussed. The importance of the issues raised pertaining to canal rehabilitation and the solutions have also been discussed in this article.
Surface Modified Activated Carbons: Sustainable Bio-Based Materials for Environmental Remediation
Global warming and water/air contamination caused by human activities are major challenges in environmental pollution and climate change. The improper discharge of a large amount of agro-forest byproduct is accelerating these issues mainly in developing countries. The burning of agricultural byproducts causes global warming, whereas their improper waste management causes water/air pollution. The conversion of these waste materials into effective smart materials can be considered as a promising strategy in waste management and environmental remediation. Over the past decades, activated carbons (ACs) have been prepared from various agricultural wastes and extensively used as adsorbents. The adsorption capacity of ACs is linked to a well-developed porous structure, large specific surface area, and rich surface functional moieties. Activated carbon needs to increase their adsorption capacity, especially for specific adsorbates, making them suitable for specific applications, and this is possible by surface modifications of their surface chemistry. The modifications of surface chemistry involve the introduction of surface functional groups which can be carried out by various methods such as acid treatment, alkaline treatment, impregnation, ozone treatment, plasma treatment, and so on. Depending on the treatment methods, surface modification mainly affects surface chemistry. In this review, we summarized several modification methods for agricultural-waste-based ACs. In addition, the applications of AC for the adsorption of various pollutants are highlighted.
Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections.
Integrated Nutrient Management Improves the Productivity and Nutrient Use Efficiency of Lens culinaris Medik
Enhancing nutrient use efficiencies (NUEs) is an important factor in achieving the long-term sustainability of a production system. Our two-year experiment was aimed at accessing the NUEs of the integration of macro- and micronutrient fertilization responses of three lentil (Lens culinaris) cultivars. Three cultivars were planted in the main plots, and ten nutrient combinations were used in the sub-plots: N1, control; N2, 100% recommended dose of fertilizers (RDF) (20:40—N:P2O5); N3, vermicompost (VC) at 2 t ha−1; N4, 50% recommended dose of nitrogen (RDN) + 100% recommended dose of phosphorus (RDP) + VC at 1 t ha−1; N5, RDF + 0.5% ZnSO4; N6, RDF + 0.5% FeSO4; N7, RDF + 0.5% ZnSO4 + 0.5% FeSO4; N8, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% ZnSO4; N9, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% FeSO4; and N10, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% ZnSO4 + 0.5% FeSO4. The results show that the cultivar HM-1 (1.59–1.61 Mg ha−1) recorded a significantly higher seed yield than cultivars Sapna (1.31–1.33 Mg ha−1) and Garima (both 1.30 Mg ha−1), while the cultivar Sapna had significantly more stover yield (1.86–1.90 Mg ha−1) than cultivar HM-1 (1.68–1.73 Mg ha−1). Cultivar HM-1 was more efficient in terms of partial factor productivity for N (77.5–78.5 kg kg−1), P (48.2–48.7 kg kg−1), K (143.6–145.5 kg kg−1), Zn (1336–1352 kg kg−1), and Fe (417–421 kg kg−1) than Sapna and Garima. Application of 50% N + 100% P + VC at 1.0 t ha−1 + 0.5% ZnSO4 + 0.5% FeSO4 resulted in higher seed yield (1.63–1.65 Mg ha−1) and agronomic efficiency for N (26.3–28.8 kg kg−1), P (12.42–13.63 kg kg−1), and K (52.3–57.4 kg kg−1) over other tested practices in both years. Hence, it could be concluded that considering the integrated nutrient management paradigm including 10 kg N ha−1 coupled with 40 kg P2O5 ha−1 through synthetic fertilizers, vermicomposting 1.0 t ha−1 as an organic source and foliar spray of 0.5% each of ZnSO4 and FeSO4 (N10) produced a 56.8% higher seed yield than the control, in addition to improving nutrient dynamics and NUEs for N, P, K, Zn, and Fe. Therefore, integrated fertilization coupled with cultivar selection could help to achieve the long-term food and nutritional sustainability targeted by the Sustainable Development Goals (SDGs).