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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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National Academy Science Letters
Journal Prestige (SJR): 0.189
Citation Impact (citeScore): 1
Number of Followers: 3  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0250-541X - ISSN (Online) 2250-1754
Published by Springer-Verlag Homepage  [2469 journals]
  • Continuous Underway Fish Egg Sampler (CUFES); a Prospective Sampling
           Strategy for Assessing the Fish Egg Distribution and Abundance in the
           Northern Indian Ocean

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      Abstract: Abstract Marine fishery has a central role in the economic growth of our country and livelihood for the coastal population and evaluation of fish egg abundance is important for the sustainable fisheries. The estimation of fish egg abundance is mainly carried out by sampling in discrete locations using plankton nets which is labor intensive. Hence, the continuous underway fish egg sampler (CUFES), an instrument specifically designed to sample fish eggs was operated for the first time in the northern Indian Ocean. Operation of CUFES was successful in providing a detailed distribution and abundance of fish eggs from a broader region along the ship-track. The distinct hydrographical characteristics and the concurrent variability in the phytoplankton standing stock of the Arabian Sea resulted in the evident spatial disparity in the distribution and abundance of fish eggs. The broader area coverage, reliable data sets and ease in operation makes CUFES a potential sampling method in providing accurate information on the fish egg distribution in Indian waters.
      PubDate: 2022-10-01
       
  • Emissions Prediction of Cashew Nut Shell Liquid Biodiesel Using Machine
           Learning

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      Abstract: Abstract Biodiesel is a type of alternative diesel fuel made from transesterification vegetable or animal oils. It is used in ignition engines for locomotives, heat generation, stationary power, and aviation fuels. Cashew nut shell liquid (CNSL) biodiesel is blended with diesel in different ratios to study the behavior of diesel engines against different environment emissions parameters such as carbon dioxide (CO2), carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NOx), and smoke. The performance of the diesel emission parameters is assessed using machine learning based on multiple linear regression, artificial neural networks (ANN), and random forest regression models.
      PubDate: 2022-10-01
       
  • A Transfer Learning Approach for Effective Motor Fault Identification of
           Industrial Machines used in Tile Manufacturing

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      Abstract: Abstract As the development and usage of autonomous machines and industrial IoT in manufacturing/production companies is becoming more active, machine fault identification has become a core component in any industrial environment. This research proposes a fault identification deep learning methodology to identify motor failures in industrial machines used in tile manufacturing. The deep learning model imports open-source machinery fault dataset of induction motors used in tile industries which contains parameters such as rpm, vibration, radial, axial and tangential direction values obtained using high-end sensors interfaced with an industrial test rig known as MFS—Machinery Fault Simulator. Furthermore, the model is fine-tuned using transfer learning techniques using pre-trained networks, and the performance of the model is assessed using accuracy metrics like Kappa Statistic: K, Overall Accuracy: OA and Average Accuracy: AA. The accuracy rate of 97.61% proves the effectiveness of the proposed fault identification model, thereby ensuring proficient and smooth operation of industrial machines.
      PubDate: 2022-10-01
       
  • Assessment of the Elemental Profile of the Pigeon Pea by the Direct
           Current Arc Optical Emission Spectroscopy

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      Abstract: Abstract Pulse industry and its derived products have great economic and social importance worldwide as they are an excellent source of protein, carbohydrate, fibres and minerals. This necessitates the determination of nutrients profile in pulses for the quality control. Pigeon pea (yellow dal) is a highly nutritious food which provides number of health benefits. The study has been conducted to highlight the potential of the direct current arc optical emission spectroscopy for the assessment of the elemental profile of the pigeon pea. For this, the emission spectrum of powdered sample of the pigeon pea has been recorded in the wavelength range 300–900 nm at a resolution 0.3 nm by exciting the direct current in the arc arrangement. The spectral analysis reveals that pigeon pea is a rich source of calcium, potassium, magnesium, manganese, iron, chromium and titanium.
      PubDate: 2022-10-01
       
  • Comparison of Recycled ABS Composite Filaments Prepared by Different
           Blending Routes

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      Abstract: Abstract This work reports the peak strength (PS)-based comparative analysis of composite filaments prepared with reinforcement of wood dust (WD), bakelite powder (BP), and Fe powder, respectively, through three different blending routes (mechanical, mechanical-hybrid (secondary (2°) recycling), and chemically assisted mechanical blending (tertiary (3°) recycling), by altering the twin-screw extruder (TSE) processing parameters for addressing issues related to recycling and self-assembly. Experimental results illustrated that the combination of blending route and processing parametric levels influences the filament porosity along with the bonding characteristics between the base matrix and reinforced material and thus affects the PS of composite filaments.
      PubDate: 2022-10-01
       
  • First Report of Deep-Sea Azooxanthellate Coral Under the Family
           Anthemiphylliidae (Order Scleractinia) from India

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      Abstract: Abstract The present study reports a new distributional record of Anthemiphyllia dentata (Alcock, 1902), a deep-sea azooxanthellate coral belonging to the family Anthemiphylliidae in the Indian waters at the depth of 322 m from Andaman and Nicobar Islands. This species, genus, and the family are reported for the first time to Indian waters. The detailed morphological characteristic features along with previous distributional records are illustrated here.
      PubDate: 2022-10-01
       
  • Implementation of Logistic Regression on Diabetic Dataset using
           Train-Test-Split, K-Fold and Stratified K-Fold Approach

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      Abstract: Abstract Diabetes is a chronic metabolic disorder causing high blood sugars, that further severely affect body parts like the heart, liver, kidneys, lungs, eyes, nerves, blood vessels etc. There are three types of diabetes- Type-1 Diabetes, Type-2 Diabetes, and Gestational Diabetes. In Type-1, body of the patient fails to produce insulin. In Type-2 diabetes, cells of the body fails to respond to insulin effectively. Gestational diabetes occurs during pregnancy. There are many approaches used to analyse this disease. We have used the Machine learning approach for analysing diabetes. We have used 768 records from “pima diabetes dataset”. In this paper, we have used Logistic regression with Train Test Split, K-Fold cross-validation and Stratified K-Fold approach.
      PubDate: 2022-10-01
       
  • Fixing Stray Traditions in Gingers II: Explicating the Identity of
           Zingiber marginatum (Zingiberaceae)

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      Abstract: Abstract The identity of a historical name, Zingiber marginatum is re-investigated here. Since its discovery in 1810, it has been considered as an unresolved name representing a validly published taxonomic entity. With the uncertainty of its location, as mentioned in the protologue, it is difficult to trace it in wild. Yet, Blume and Clarke tried to elucidate the identity of Z. marginatum by correlating it with their respective collections, but, could not provide a concrete solution. In the absence of any extant herbarium material or illustration, the only reliable existing original material supporting the name Z. marginatum is the scant description provided by Roxburgh. Hence, we try to analyze and develop the identity of Z. marginatum.
      PubDate: 2022-10-01
       
  • Stress of Wheel Related Graphs

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      Abstract: Abstract Let \(G=(V,E)\) be a connected graph. The stress is a vertex centrality measure which assigns a real number \(\mathrm{st}(v)\) , called the stress of v, to each vertex of G. It is used in the study of biological and social networks for ranking the vertices and identifying important vertices in the network. In this paper, we determine the stress of wheel related graphs such as gear graph, helm graph, friendship graph, flower graph and sunflower graph.
      PubDate: 2022-10-01
       
  • Waste to Wealth: Utilization of Slaughterhouse Wastes as Phosphate
           Fertilizer in India

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      Abstract: Abstract India is the home of 130 million people, and feeding this ever increasing population is an arduous task for the farming community. To satisfy the hungry stomachs and minimize the yield gap, there must be a continuous flow of inputs especially high-analysis fertilizers. After nitrogen, phosphorus (P) is the most yield-limiting nutrient having use efficiency of <20% in tropical soils. Due to several reasons, India heavily relies on foreign countries for P-fertilizers which put enormous pressure on our foreign reserves. Hence, avenues should look for the use of unconventional raw materials for production of P-fertilizers or can be directly used for supplying P to the crops. India with highest number of livestock population and  by-products or wastes from this sectors like (blood, bone and rumen) can be wisely used for production of P-fertilizers which is economical and environment friendly. Therefore, in this article, the possibilities and bottlenecks for utilization of slaughterhouse are discussed especially where the country lacks high-quality rock phosphate ore.
      PubDate: 2022-10-01
       
  • Impact of γ ray Exposure on In vitro Pollen Viability and Seed
           Development Pattern in Different Interspecific Crosses of Citrus

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      Abstract: Abstract Present work aimed to study the in vitro pollen viability and germinability of gamma ray irradiated pollens of Citrus limetta and C. sinensis. At highest irradiation dose (400 Gy), the rate of reduction of pollen viability and in vitro germination over respective control was recorded minimum in C. limetta (8.58 and 28.00%, respectively) as compared to C. sinensis. Maximum pollen tube length (263.67 µm) at 24 h after incubation was measured in C. sinensis, however, at 48 and 72 h after incubation, it was recorded maximum in C. limetta (299.69 and 322.25 µm, respectively). While using this irradiated pollen for controlled pollination of C. grandis, no mature fruit was retained on the tree in either cross combinations when pollen grains were treated with 400 Gy. Among the harvested fruits, number of normal seeds per fruit was reduced gradually with the increasing concentration of irradiation doses and less than three normal seeds were obtained per fruit in either cross combinations with 300 Gy irradiation doses. Our experiment revealed that controlled pollination of C. grandis with irradiated pollen (300 Gy) of C. limetta and C. sinensisis is an effective tool for induction of seedlessness in C. grandis. However, for haploid breeding programme in Citrus, C. limetta can be employed as more reliable pollen parent as compared to C. sinensis.
      PubDate: 2022-10-01
       
  • First Report of Cymothoid Isopod Nerocila kisra Bowman and Tareen, 1983
           (Family: Cymothoidae) from India

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      Abstract: Abstract This paper reports Nerocila kisra Bowman and Tareen, 1983, for the first time from the coastal waters of India. It was collected from bycatch trash of Kumbhabhishekam fishing harbour, Kakinada (Andhra Pradesh). It is the first record of this species from this area beyond its type locality Persian Gulf. This species is characterised by the presence of serrated endopod and triangular cephalon. The present manuscript also discussed how this species is different from the other related species under the subgroup Emphylia.
      PubDate: 2022-08-26
       
  • First Report on Genetic Resource Distribution of Acer caesium in
           Northwestern Himalayas

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      Abstract: Abstract Acer, a keystone genus in its habitat, has a wide range of distribution across the globe. A total of 15 species of Acer combining both northwestern and eastern Himalayas are reported from India. Among them, A. caesium offers a wide range of ecological and economical value, still this species has neither been studied well nor given the required attention in terms of its conservation and management. To understand the current distribution status of A. caesium in its natural range, extensive field surveys were conducted in Uttarakhand during 2021. The information collected from the literature and field survey, lead us to conclude that the A. caesium is a keystone species occurring in 5 forest types, namely 12/C1, 12/C1e, 12/C1/DS2, 12/C2a and 15/C1, of northwestern Himalayas. It does not only affect the species alone but also the other biodiversity dependent directly and indirectly on it. Hence, the current study provides an overall opportunity to formulate more feasible and sustainable measures for A. caesium conservation in the northwestern Himalayas.
      PubDate: 2022-08-26
       
  • Chlorpyrifos Root Dip Treatment Effect on Population of Singhara Beetle,
           

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      Abstract: Abstract Leaf beetle commonly called Singhara beetle, Galerucella birmanica, is the main insect pest in the water chestnut crop. In this experiment, we studied the control efficacy of Chlorpyrifos seedling root dip against Singhara beetle and its effect on the density of natural enemy population and yield of water chestnut under the field condition during 2021. The results revealed that seedling root dip with Chlorpyrifos @0.05% (RAMBAN®) effectively controls the Singhara beetle, where the minimum number of all the life stages was recorded on root dip-treated plants, and duration of root dip has no significant effect on Singhara beetle incidence. Seedling root dip has no adverse effect on natural enemy populations such as spiders and water striders. Further, the highest yield was recorded from 6 h of root dip treatment. Hence, the seedling root dip of water chestnut protects the crop against early stage infestation by Singhara beetle, thereby reducing the significant yield loss.
      PubDate: 2022-08-25
       
  • Morpho-Molecular Identification of Lasiodiplodia theobromae Causing Root
           Rot of Mulberry in India

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      Abstract: Abstract The root rot disease caused by Lasiodiplodia theobromae in Morus alba emerged as a serious problem that affect sustainable mulberry production. In this study, the disease symptoms like yellowing of leaves, blackening, and rotting of roots were observed. The associated pathogen was isolated from infected root tissue and pure culture was raised. Based on morphological features, ITS sequencing, and phylogenetic analyses, the fungal pathogen is identified as Lasiodiplodia theobromae. The sequence was deposited in NCBI with the accession number MK811183. The pathogenicity was confirmed by artificial inoculation on mulberry seedlings. This disease can cause great economic loss, as every part of the plant is infected. So, correct identification of disease to take timely management measures is a must, this basic work will give proper identification of pathogen and help to improvise the mulberry production in the country.
      PubDate: 2022-08-25
       
  • A Tight Approximation Towards the SEP Computation Over Nakagami-m Fading
           Channels

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      Abstract: Abstract In emerging pragmatic wireless communication environments, the evaluation of several performance measures requires computation of the Gaussian Q-function. Specifically, the analytical solution of symbol error probability (SEP) integrals over fading channels requires precise approximation of various functions, viz., erf(.), erfc(.) and Q(.). In this setting, the paper portrays composite and tighter exponential bounds towards the Gaussian Q-function for effective evaluation of average SEP over fading channels. The composite framework operates well for lower and higher input values of signal-to-noise ratio and is mathematically simpler in contrast to the existing approximations of the Gaussian Q-function. Furthermore, in context with Nakagami-m fading channels for different values of fading parameter, the analytical solution corresponding to SEP integrals for general non-rectangular quadrature amplitude modulation (QAM) and rectangular QAM (R-QAM) are provided.
      PubDate: 2022-08-25
       
  • First report on Rahnella sp. strain EU-A3SNfb, a plant growth promoting
           endophytic bacterium from wild wheat relative Aegilops kotschyi

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      Abstract: Abstract Endophytic biology is an emerging field due to their wide range of application in various sectors including agriculture, pharmaceutical, medical, and industries. The endophytic phytomicrobiomes residing inside the tissue of the plant have gained the momentum for plant growth promotion (PGP), crop production and protection along with sustaining the environmental health. Considering the importance of sustainability, the present study aimed to characterize and evaluate the plant growth promoting endophytic microbes with nitrogen fixing ability. A total of 52 putative endophytic bacteria were isolated from wild wheat relative Aegilops kotschyi growing in the Himalayan regions. All the isolates were screened for nitrogen-fixing attributes, and the selected nitrogen fixing bacteria were screened for other PGP attributes including solubilizing of phosphorus, potassium and zinc; production of siderophores, ammonia and hydrogen cyanide. Efficient microbe having capability to fix nitrogen was identified as Rahnella sp. strain EU-A3SNfb using 16S rRNA gene sequencing and BLASTn analysis. The selected bacterial strain was evaluated for growth of Aegilops kotschyi, and results showed the significant improvement in the physiological parameters, chlorophyll, total soluble sugar, phenolics and flavonoid content as compared to recommended dose of chemical fertilizer and untreated control. This efficient bacterial strain EU-A3SNfb could be used as bioinoculants for cereal crops growing in hilly region for agricultural sustainability.
      PubDate: 2022-08-25
       
  • Heavy Infestation by Indian Tortoiseshell Caterpillars (Aglais
           caschmirensis aesis) on Stinging Nettle (Urtica dioica L.) Plants at
           Kumaon Hills of the Western Himalaya

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      Abstract: Abstract Stinging nettle (Urtica dioica L.) is an ecologically and economically important multipurpose perennial shrub of family Urticaceae. Here, we report heavy infestation by caterpillars of Indian tortoiseshell (Aglais caschmirensis aesis Fruhstorfer, 1912) on leaves of the plant at Pithoragarh, Uttarakhand, located in the Western Himalayan region. The infestation resulting in complete defoliation was recorded from April to November in the years 2020 and 2021. A life cycle study revealed 30 days as the life span of the insect. The insect may be an important component of the Integrated Weed Management system to manage the plant where its growth is undesired. Alternatively, an Integrated Pest Management system needs to be developed for sustainable management of the insect.
      PubDate: 2022-08-24
       
  • A Quick Analysis of Various Elements (Heavy) in Sand Collected from the
           Topical River (Ganga and Yamuna) Using LIBS Coupled with Multivariate
           Technique

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      Abstract: Abstract The present study investigates the presence of heavy/toxic elements in the sand collected at different depths (5 cm, 10 cm, and 15 cm) from the Ganga, Yamuna basin, and the Sangam using the LIBS technique. The presence of several heavy/toxic elements is detected along with some other minerals in all samples. Sedimentation velocity is an important factor for the variation of concentration of Cr and other elements at different depths. The variation in the concentration of Cr is explained based on the settling velocity of the particle in the fluid. The multivariate analysis of the LIBS data has been applied to discriminate the sands collected from different locations and at different depths.
      PubDate: 2022-08-24
       
  • Partially Absorbable 3D Printed Innovative Orthopedic Implants

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      Abstract: Abstract Commercially the orthopedic implants (OI) of metals/alloys/polymers are being widely used in clinical applications. But hitherto little has been reported on partially absorbable OI for supporting osteointegration and online health monitoring. This study outlines the 3D printed partially absorbable innovative OI comprising of 17-4 precipitate hardened stainless steel (as conductor and ground plane) and polylactic acid-based composite with the reinforcement of hydroxyapatite, and chitosan (as dielectric material). The 3D printed innovative OI of multi-materials was explored for online sensing capabilities based upon dielectric constant (εr) and loss tangent (tanδ) of dielectric material. The radio frequency and polarization resistance (Rp) analysis under the effect of simulated body fluid was conducted to ascertain the health of innovative OI in the industrial, scientific, and medical band as an internet of things-based solution.
      PubDate: 2022-08-24
       
 
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