Weathered basalt application for management of Vertisols: A traditional knowledge of groundnut (Arachis hypogaea) growers of Gujarat, India

793-799Gujarat tops with 27.87% of total groundnut production. The basaltic shrink-swell soils are generally evaluated as unsuitable for groundnut production in Saurtashtra region of Gujarat. They have untapped source of traditional knowledge for managing heavy shrink-swell soils of basaltic terrain. Groundnut growers of the region are applying weathered basalt (WB, Vēraḍēḍa bēsālṭanuṁ in Gujarati) in pure form which is naturally available or sometimes treated by mixing the farmyard manures (FYM) or groundnut husk, and/or fortified with nitrogenous and phosphatic fertilizers. A study was planned to find out the reason for higher production of groundnut with the application of WB before sowing the seed. For this study the farmers were divided in to 05 groups on the basis of forms and combinations of WB application in groundnut fields. The participatory approaches and personal interviews were combined to collect the data from 25 farmers of each group. After interviewing the farmers, we came to know that this practice is being followed since 40 years. The study revealed that the practice significantly reduces the contracting and expanding phenomenon in black Vertisols and improve physico-chemical properties of soils like hydraulic characteristics (infiltration, permeability, percolation and drainage), aeration, bulk density, porosity, thermal conductivity and also improve availability of secondary (Ca, Mg & S) and micronutrients (Fe, Mn, Zn & Cu). The present study forms the basis for upgrading the traditional management packages for sustainable groundnut production in black soil region of India

Clinico-radiological correlation of Primary Multifocal Osseous NHL

Multifocal skeletal involvement in primary non-Hodgkin’s Lymphoma (NHL) is very rare as compared to the focal one. Thesefindings of multifocal nature are more common in children than in adults. We present 52 years old male patient who presentedwith slow growing multiple tender swellings on the left side of mandible and on the medial end of right first rib. We presentthe clinico-radiological aspects of the disease which lead to suspicion of the NHL and later proved to be primary non-Hodgkin’s Lymphoma on fine needle aspiration cytology

Prevalence of Hypertension and Association of Obesity with Hypertension in School Ggoing Children of Surat City, Western India.

Purpose: The association of obesity with hypertension has been recognized for the decades which are the important risk factors for the cardiovascular disease. So the purpose of the present study was to determine association of obesity with hypertension in school going children of Surat. Methodology: School going children aged between 12-18 years, of five schools in Surat were selected for the study. Height and weight were measured and BMI was calculated. Blood pressure measurements were taken as per recommendation of American heart society and family history of hypertension has also been assessed. Hypertension was considered if blood pressure is more than 95th percentile according to the update of task force report and Obesity was diagnosed by BMI for age. Results: Of 682 children, 8.94% were obese and 20.09% were hypertensive. Conclusion: Obesity is strongly associated with hypertension in children and both together may risk factors for later coronary disease

IQOS exposure impairs human airway cell homeostasis: direct comparison with traditional cigarette and e-cigarette.

Heat-not-burn (HNB) devices can alter vital physiological functions in the lung. HNB devices may not be a safer option than cigarette smoking or eCig vaping; this does not support the recommendation of their use over other nicotine delivery products. http://ow.ly/wZ5P30ng8bU

Controlled coalescence-induced droplet jumping on flexible superhydrophobic substrates

Sessile droplets coalescing on superhydrophobic substrates spontaneously jump from the surface. In this process, the excess surface energy available at the initiation of coalescence overcomes the minimal surface adhesion and manifests as sufficient kinetic energy to propel the droplets away from the substrate. Here, we show that the coalescence induced droplet jumping velocity is significantly curtailed if the superhydrophobic substrate is flexible in nature. Through detailed experimental measurements and numerical simulations, we demonstrate that the droplet jumping velocity and jumping height can be reduced by as much as 40 % and 64%, respectively, by synergistically tuning the substrate stiffness and substrate frequency. We show that this hitherto unexplored aspect of droplet coalescence jumping can be gainfully exploited in water harvesting from dew and fog harvesting. Additionally, through an exemplar butterfly wing substrate, we demonstrate that this effect is likely to manifest on many natural superhydrophobic substrates due to their inherent flexibility

A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic.

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is similar to influenza viruses and raises concerns through alarming levels of spread and severity resulting in an ongoing pandemic worldwide. Within eight months (by August 2020), it infected 24.0 million persons worldwide and over 824 thousand have died. Drones or Unmanned Aerial Vehicles (UAVs) are very helpful in handling the COVID-19 pandemic. This work investigates the drone-based systems, COVID-19 pandemic situations, and proposes an architecture for handling pandemic situations in different scenarios using real-time and simulation-based scenarios. The proposed architecture uses wearable sensors to record the observations in Body Area Networks (BANs) in a push-pull data fetching mechanism. The proposed architecture is found to be useful in remote and highly congested pandemic areas where either the wireless or Internet connectivity is a major issue or chances of COVID-19 spreading are high. It collects and stores the substantial amount of data in a stipulated period and helps to take appropriate action as and when required. In real-time drone-based healthcare system implementation for COVID-19 operations, it is observed that a large area can be covered for sanitization, thermal image collection, and patient identification within a short period (2 KMs within 10 min approx.) through aerial route. In the simulation, the same statistics are observed with an addition of collision-resistant strategies working successfully for indoor and outdoor healthcare operations. Further, open challenges are identified and promising research directions are highlighted

Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico

\ua9 2024 by the authors.Optical microscopy is widely regarded to be an indispensable tool in healthcare and manufacturing quality control processes, although its inability to resolve structures separated by a lateral distance under ~200 nm has culminated in the emergence of a new field named fluorescence nanoscopy, while this too is prone to several caveats (namely phototoxicity, interference caused by exogenous probes and cost). In this regard, we present a triplet string of concatenated O-Net (‘bead’) architectures (termed ‘Θ-Net’ in the present study) as a cost-efficient and non-invasive approach to enhancing the resolution of non-fluorescent phase-modulated optical microscopical images in silico. The quality of the afore-mentioned enhanced resolution (ER) images was compared with that obtained via other popular frameworks (such as ANNA-PALM, BSRGAN and 3D RCAN), with the Θ-Net-generated ER images depicting an increased level of detail (unlike previous DNNs). In addition, the use of cross-domain (transfer) learning to enhance the capabilities of models trained on differential interference contrast (DIC) datasets [where phasic variations are not as prominently manifested as amplitude/intensity differences in the individual pixels unlike phase-contrast microscopy (PCM)] has resulted in the Θ-Net-generated images closely approximating that of the expected (ground truth) images for both the DIC and PCM datasets. This thus demonstrates the viability of our current Θ-Net architecture in attaining highly resolved images under poor signal-to-noise ratios while eliminating the need for a priori PSF and OTF information, thereby potentially impacting several engineering fronts (particularly biomedical imaging and sensing, precision engineering and optical metrology)

A review of peer‐reviewed published research on corruption and disasters in the built environment

This paper presents the findings of a review of academic literature concerning the degree to which corruption worsens naturally-triggered disasters in the built environment. The research employed a 'systematic literature review' methodology to analyse leading academic databases, resulting in a detailed analysis of 59 peer-reviewed, published papers. It was found that while much of the literature focuses on earthquakes (relating to building and infrastructure collapse), the quality of governance and the drivers of corruption, there is presently limited scholarship concerning the general scope, reach and scale of how disasters are worsened by corruption. This article is protected by copyright. All rights reserved