Integrated use of biochar, Cassia fistula, and Trichoderma for sustainable management of Sclerotium rolfsii in chickpea.

Background: is a devastating soil borne pathogen causing collar rot in chickpea, leading to significant crop yield losses. Sustainable diseases management strategies are required to reduce dependence on chemical fungicides and mitigate environmental hazards risks. Biochar, a carbon-rich soil amendment, improves soil health and enhances soil microbial activity, aiding in soil borne disease suppression.

Optimizing Screening Strategies for Hypertension in India: A Consensus Statement.

Hypertension is a highly prevalent issue worldwide. The prevalence of underdiagnosed hypertension in India calls for the need for this consensus article, which aims to optimize screening strategies. In this article, a modified Delphi approach was used to develop consensus statements.

Response of wheat crop to water-logged conditions under different land configurations and nutrient management.

By 2050, the global population is expected to increase from 7.7 billion to 9.7 billion, and wheat will remain crucial for ensuring food security worldwide.

Organic manure and fertilizer N management strategies improve soil health at different growth stages of pearl millet under pearl millet-wheat sequence.

Background: Incorporating organic manure improves soil properties and crop productivity. A long-term study started in October 1967 examined the effects of farmyard manure and nitrogen fertilization on the soil at key growth stages of pearl millet in a pearl millet-wheat cropping system over its 51st cycle.

Results: Applying 15 Mg of farmyard manure (FYM) per hectare in both growing seasons significantly boosted soil organic carbon (SOC), dissolved organic carbon (DOC), and key nutrients compared to one-season application.

Long-term organic and N fertilization influence the quality and productivity of pearl millet under pearl millet-wheat sequence in north India.

The present investigation reported that FYM application in different seasons influenced root, shoot, and seedling length, straw K, vigour index-I, nutrient uptake, grain, and stover yield of pearl millet significantly (P < 0.05) and followed the order: both seasons > kharif > rabi. Applying FYM in both seasons resulted in higher N, P, and K content in pearl millet grain (1.

Spark Plasma Sintering of Pure Titanium: Microstructure and Mechanical Characteristics.

The versatility of titanium (Ti) allows it to be employed in various industries, from aerospace engineering to medical technology, highlighting its significance in modern manufacturing and engineering processes. Spark plasma sintering (SPS) is currently being explored to enhance its properties further and broaden its application range. The current study focuses on exploring and optimizing the effect of SPS temperature (800, 900, 1000, 1100, 1200, and 1400 °C) on pure Ti sintered at 60 MPa in a controlled argon environment with a dwell time of 5 min.

Biochar influences nitrogen and phosphorus dynamics in two texturally different soils.

Nitrogen (N) and phosphorus (P) are vital for crop growth. However, most agricultural systems have limited inherent ability to supply N and P to crops. Biochars (BCs) are strongly advocated in agrosystems and are known to improve the availability of N and P in crops through different chemical transformations.

Interactive effects of long-term management of crop residue and phosphorus fertilization on wheat productivity and soil health in the rice-wheat.

In the context of degradation of soil health, environmental pollution, and yield stagnation in the rice-wheat system in the Indo-Gangetic Plains of South Asia, an experiment was established in split plot design to assess the long-term effect of crop residue management on productivity and phosphorus requirement of wheat in rice-wheat system. The experiment comprised of six crop residue management practices as the main treatment factor with three levels (0, 30 and 60 kg PO ha) of phosphorus fertilizer as sub-treatments. Significant improvement in soil aggregation, bulk density, and infiltration rate was observed under residue management (retention/incorporation) treatments compared to residue removal or residue burning.

Soil type and integrated nitrogen nutrient-rice straw residue management techniques affect soil microbes, enzyme activities and yield of wheat crop.

Sporadic burning of rice straw and the particulate air pollution caused consequently have created a pressing need for identification of practical environmentally sound rice residue management methods. However, the agronomic interventions associated with the agri-inputs particularly the type of nitrogen fertilizer source must be worked out for these interventions. In a two-year field study performed at two different locations representing sandy loam and clay loam soil types, zero tillage with application of nitrophosphate (applied as basal dose through drilling) in combination with urea (applied at 1st irrigation + 3 foliar sprays of urea at weekly interval) significantly enhanced the grain and straw yield of wheat.

An AI-Enabled ensemble method for rainfall forecasting using Long-Short term memory.

Rainfall prediction includes forecasting the occurrence of rainfall and projecting the amount of rainfall over the modeled area. Rainfall is the result of various natural phenomena such as temperature, humidity, atmospheric pressure, and wind direction, and is therefore composed of various factors that lead to uncertainties in the prediction of the same. In this work, different machine learning and deep learning models are used to (a) predict the occurrence of rainfall, (b) project the amount of rainfall, and (c) compare the results of the different models for classification and regression purposes.

Interactive effect of land use systems on depth-wise soil properties and micronutrients minerals in North-Western, India.

Micronutrients play a vital role in improving growth and performance of different crops. Management of soil micronutrients for better crop production needs sound understanding of their status and causes of variability. Therefore, in order to evaluate the changes in soil properties and micronutrient contents of soils, an experiment was conducted with soil samples from six soil depths i.

A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI.

During the last few decades, the quality of water has deteriorated significantly due to pollution and many other issues. As a consequence of this, there is a need for a model that can make accurate projections about water quality. This work shows the comparative analysis of different machine learning approaches like Support Vector Machine (SVM), Decision Tree (DT), Random Forest, Gradient Boost, and Ada Boost, used for the water quality classification.

Text-Based Emotion Recognition Using Deep Learning Approach.

Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions towards a given goal, such as people, activities, organizations, services, subjects, and products. Emotion detection is a subset of sentiment analysis as it predicts the unique emotion rather than just stating positive, negative, or neutral. In recent times, many researchers have already worked on speech and facial expressions for emotion recognition.

An AI-enabled pre-trained model-based Covid detection model using chest X-ray images.

The year 2020 and 2021 was the witness of Covid 19 and it was the leading cause of death throughout the world during this time period. It has an impact on a large geographic area, particularly in countries with a large population. Due to the fact that this novel coronavirus has been detected in all countries around the world, the World Health Organization (WHO) has declared Covid-19 to be a pandemic.

Brain Tumor Detection and Classification Using Cycle Generative Adversarial Networks.

Brain cancer ranks tenth on the list of leading causes of death in both men and women. Biopsy is one of the most used methods for diagnosing cancer. However, the biopsy process is quite dangerous and take a long time to reach a decision.

Tribological Behavior of Carbon-Based Nanomaterial-Reinforced Nickel Metal Matrix Composites.

Carbon nanotubes (CNTs) and graphene nanoplatelets (GNPs) with exceptional mechanical, thermal, chemical, and electrical properties are enticing reinforcements for fabricating lightweight, high-strength, and wear-resistant metal matrix composites with superior mechanical and tribological performance. Nickel-carbon nanotube composite (Ni-CNT) and nickel-graphene nanoplatelet composite (Ni-GNP) were fabricated via mechanical milling followed by the spark plasma sintering (SPS) technique. The Ni-CNT/GNP composites with varying reinforcement concentrations (0.

Enhancement of euryhaline biomass production for improving biogas generation through anaerobic co-digestion with carbon rich substrate.

Unlabelled: The microalga was isolated from Muktsar, the southwestern zone of Indian Punjab and identified as BGLR5 (MF661929) by 18S rRNA sequence analysis. The optimization of various cultural factors by the Plackett-Burman and central composite (CCD) designs helped in discerning the significant cultural factors for the increased production of biomass and other functional components (chlorophyll, carbohydrate, lipid and protein). The optimal cultural conditions as per the model were pH 9.

Mechanical and Tribological Behavior of Mechanically Alloyed Ni-TiC Composites Processed via Spark Plasma Sintering.

Titanium carbide (TiC) reinforced nickel (Ni) matrix composites were processed via mechanical alloying (MA) followed by spark plasma sintering (SPS) process. Mechanical alloying has gained special attention as a powerful non-equilibrium process for fabricating amorphous and nanocrystalline materials, whereas spark plasma sintering (SPS) is a unique technique for processing dense and near net shape bulk alloys with homogenous microstructure. TiC reinforcement varied from 5 to 50 wt.

Ag-Cu Bimetallic Nanoparticles as Efficient Oxygen Reduction Reaction Electrocatalysts in Alkaline Media.

The alkaline medium oxygen reduction reaction (ORR) activities of Ag-Cu bimetallic nanoparticles (BNPs), consisting of neighboring Ag and Cu domains, were studied and compared with those of pure Ag and Cu nanoparticles prepared by the same polyol route. Three variations of Ag-Cu BNPs viz. Ag-Cu (4:1), Ag-Cu (2:1), Ag-Cu (1:1) BNPs were considered.

Enhanced electron transfer mediated detection of hydrogen peroxide using a silver nanoparticle-reduced graphene oxide-polyaniline fabricated electrochemical sensor.

The current study aims at the development of an electrochemical sensor based on a silver nanoparticle-reduced graphene oxide-polyaniline (AgNPs-rGO-PANI) nanocomposite for the sensitive and selective detection of hydrogen peroxide (HO). The nanocomposite was fabricated by simple synthesis of PANI at the surface of rGO sheet which was followed by stirring with AEC biosynthesized AgNPs to form a nanocomposite. The AgNPs, GO, rGO, PANI, rGO-PANI, and AgNPs-rGO-PANI nanocomposite and their interaction were studied by UV-vis, FTIR, XRD, SEM, EDX and XPS analysis.

Evaluation of ECG Abnormalities in Patients with Asymptomatic Type 2 Diabetes Mellitus.

Introduction: Diabetes Mellitus (DM) is the most common chronic disease. DM is considered a Cardiovascular Disease (CVD) risk equivalent. Its macrovascular complications are associated with two-fold increased risk of premature atherosclerotic CVD.

Retrograde cerebral perfusion for brain protection in aortic aneurysm surgery.

Introduction: Retrograde cerebral perfusion is used as an adjunct to deep hypothermic circulatory arrest (DHCA) for cerebral protection while dealing with complex aortic lesions.

Patients And Methods: Sixty-six patients, operated for aneurysms of the aorta using DHCA, were studied. In 52 patients, retrograde cerebral perfusion was used as an adjunct to DHCA for cerebral protection.