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Influence of Planting Methods on Growth, Yield and Storage of Onion (Allium cepa L.) var. Bhima Shakti
Background: Successful crop production in any crop depends on the good agronomic practices. Being a commercial crop, onion needs good attention during the crop growth stages, most of the times, in onion cultivation farmers follow broadcasting method which leads to the wastage of seeds, seedling mortality and poor germination and it will affect the total yield and productivity. Methods: To identify the best planting method an investigation on performance of seed drill versus transplanted onion was conducted at University of Agricultural Sciences, Main Agriculture Research Station, Dharwad. Result: Results indicated that, T3- (Transplanting) performed superior for all the vegetative and yield parameters studied. Plant height 55.57 cm, leaf number (7.86, 8.29 and 8.08 in pooled), Leaf width (1.03 cm, 0.99 cm pooled 1.01 cm). Total yield: (21.97 t/ha, 22.05 t/ha and 22.01 t/ha), marketable yield (20.74 t/ha 20.95 t/ha and 20.85 t/ha), bulb weight (64.00 g, 53.00 g and 53.90 g in pooled, analysis). From this, it can be concluded that transplanting of onion was better compared to other methods. (2024), (Agricultural Research Communication Centre). All rights reserved. -
Broadband near infrared emission in Cr3+: Cs2AgBiCl6 double perovskite halides
Near Infra-red phosphors with broad emission band, high thermal stability and excellent efficiency are required in various bioimaging applications. In this study, we report the design and chemical reflux synthesis of a new family of Cr3+: Cs2AgBiCl6 double perovskites. In detail this article focuses on the impact of Cr3+ doping on the crystal structure, optical and vibrational properties of Cs2AgBiCl6 double perovskites. Different concentrations of Cr3+ doped Cs2AgBiCl6 double perovskites were analyzed using UVVisible, Raman, Photoluminescence (PL), PL excitation, time resolved PL, X-ray photoelectron spectroscopy. Morphological analyses were carried out using scanning and transmission electron microscopies. XRD spectra reveals that the cubic symmetry remains unaltered upon Cr3+ doping. Raman and Rietveld analysis show that the BiCl bond decreases upon Cr3+ incorporation. Optical absorption studies reveal a decrease in bandgap from 2.76 to 2.66 eV upon Cr3+ doping. PL spectroscopy of Cr 3+:Cs2AgBiCl6 exhibits a broad near infrared (NIR) emission band at 973 nm with an FWHM of 186 nm at 355 nm excitation. This demonstrates the promising prospects for NIR light emitting diode and bioimaging applications of Cr3+:Cs2AgBiCl6 double perovskites. 2023 Elsevier B.V. -
Extrinsic electronic states to tune the luminescence and bonding nature of Cs2NaInCl6 double perovskite
Halide double perovskites have been extensively investigated in recent years as more stable and environmentally friendly materials with significant optoelectronic properties. Herein, we introduce Mn2+ ions in the Cs2NaInCl6 lattice to impart new electronic pathways to the otherwise weak optically active double perovskite for tuning its luminescent behaviour. X-ray diffraction, Raman, UVvisible, Photoluminescence (PL), and timeresolved PL (TRPL) spectroscopy are used to investigate the effect of Mn 2+ feed ratio on structural, vibrational, and optical properties. The chemical environment and surface morphology of the Mn2+ ions doped Cs2NaInCl6 double perovskite were investigated using X-ray photoelectron (XPS), energy dispersive X-ray (EDS) spectroscopies, and scanning electron microscopy. Results of the Rietveld refinement and Raman spectra divulge a decrease in In-Cl and Na-Cl bond length upon Mn2+ incorporation. The microstructure of the Cs2NaInCl6 double perovskite system was also studied using HRTEM analysis. UVvisible studies demonstrated a tremendous increase in absorption and a slight increase in band gap upon Mn2+ doping. PL and TRPL measurements of Mn2+: Cs2NaInCl6 discloses its red luminescence at 614 nm corresponding to the d-d atomic transition of Mn2+ with a long lifetime of 2.1 ms. Electron density investigations using maximum entropy method (MEM) demonstrate clear evolution of In-Cl and Na-Cl bonds from a highly ionic nature in pure Cs2NaInCl6 to strong covalent nature in Mn2+: Cs2NaInCl6 double perovskites. This affirms the simultaneous replacement of In, Na ions by Mn2+ to maintain charge neutrality in the compound and tune the electronic states of the Cs2NaInCl6 system. 2023 Elsevier B.V. -
Effectiveness of market development assistance scheme in handloom and gems and jewellery sectors in India /
Scholedge International Journal Of Management And Development, Vol.2, Issue 8, pp.37-50, ISSN No: 2394-3378. -
The dark side of technology-enabled teaching: Impact of technostress on student performance
This study validates an instrument used to measure technostress creators, technostress support mechanisms, and their negative impact on students' satisfaction and performance. A research model is developed based on the stimulus, organism, and response model to analyse the mediating effect of technostress creators and understand how technostress inhibitors influence students' satisfaction and their performance. A group of 206 students from India pursuing higher education were selected as a sample to validate this model. Technostress creators act as a mediator between technostress inhibitors and students' satisfaction and their performance, while technostress inhibitors positively influence student satisfaction and performance indirectly. Insights from this study will enable higher education institutions to identify the students who are finding technology-based education problematic and help preserve their wellbeing by following supportive strategies to reduce stress and enhance the students' active participation in technology-based education. Copyright 2021, IGI Global. -
Degree of Children Influence on Parents Buying Decision Process
European Journal of Business Management Vol. 4, No. 14, pp 49-57, ISSN No. 2222-2839 -
Changing trend in the programming pattern happening in Malayalam television channels due to FDI /
Malayalam television industry is unique in its own way and stand out for its unique elements from the other television industries in India. The researcher has tried to analyze the changing trend in the programing happening in Malayalam television channels due to the foreign direct investment happening in the industry. -
A Systematic Survey of Happiness from an Analytical Perspective
The paper is a survey paper that talks about studies around happiness. We have surveyed papers about the scales of measuring happiness, in which the scales are proposed, demonstrated and examined. Happiness is affected by various factors, which can be called indicators of happiness. Some of the papers we reviewed validate the significance of such indicators with applications. The indicators include inflation, unemployment, health, loneliness, and sports. Modern technology helps researchers estimate and forecast happiness and effectively find the relation between factors affecting happiness. Researchers use different methodologies to study happiness. The data used in the papers were retrieved from surveys and existing Happiness Report, designed surveys appropriate for the study. Models were proposed for forecasting happiness using Machine Learning and Neural Networks. From the reviews, we identify research gaps in the area for future work. This paper gives an overview of the studies around the area of happiness from an analytical approach. 2022 IEEE. -
AI-driven decision-making and optimization in modern agriculture sectors
AI-driven decision-making tools have emerged as a novel technology poised to replace traditional agricultural practices. In this chapter, AI's pivotal role in steering the agricultural sector towards sustainability is highlighted, primarily through the utilization of AI techniques such as robotics, deep learning, the internet of things, image processing, and more. This chapter offers insights into the application of AI techniques in various functional areas of agriculture, including weed management, crop management, and soil management. Additionally, it underlines both the challenges and advantages presented by AIdriven applications in agriculture. In conclusion, the potential of AI in agriculture is vast, but it faces various impediments that, when properly identified and addressed, can expand its scope. This chapter serves as a valuable resource for government authorities, policymakers, and scientists seeking to explore the untapped potential of AI's significance in agriculture. 2024, IGI Global. All rights reserved. -
On near-perfect numbers with five prime factors
Let n be a positive integer and ?(n) the sum of all the positive divisors of n. We call n a near-perfect number with redundant divisor d if ?(n) = 2n + d. Let n be an odd near-perfect number of the form n = pa11 ? pa22 ? pa33 ? pa44 ? pa55 where pis are odd primes and ais (1 ? i ? 5) are positive integers. In this article, we prove that 3 | n and one of 5, 7, 11 | n. We also show that there exists no odd near-perfect number when n = 3a1 ? 7a2 ? pa33 ? pa44 ? pa55 with p3 ? {17, 19} and when n = 3a1 ? 11a2 ? pa33 ? pa44 ? pa55 Mathematical and Computational Sciences - Proceedings of the ICRTMPCS International Conference 2023.All rights reserved. -
Hotel career perceptions of final year hospitality degree students
The Indian Hospitality Management Institutions has seen a tremendous growth in the recent years, due to the growth of the tourism and hospitality sector a large number of hotel chains has increased their expansion plans to accommodate this growth. Although the development of the tourism and hospitality industry can create greater employment opportunities, it is the role of the education institutions to produce more hospitality graduates. If todays students are to become effective practitioners of tomorrow, it is important to understand the final year hospitality degree students perception towards their future careers in the hotel industry. The purpose of this study was to investigate the career perception of final year hospitality students towards the hotel industry. This paper focuses on a sample of 60 final year students pursuing a hospitality degree at a private university in Bangalore City, India to analyze their perceptions towards hotel careers the researchers used the survey questionnaire. The findings indicated that the students willingness to work in the hotel industry after graduation was high; 41 percent of the students preferred to start their future career in the food and beverage department; awareness of the working environment; perception on internship and also negative views about the hotel careers were highlighted in the study. 2015 American Scientific Publishers. All rights reserved. -
Hotel managers perspective of managerial competency among graduating students of hotel management programme /
Procedia Social and Behavioral Sciences, Vol.144, pp.328-342, ISSN No: 1877-0428. -
Hotel Managers Perspective of Managerial Competency Among Graduating Students of Hotel Management Programme
Indian Streams Research Journal, Vol-4 (2), pp. 1-14. ISSN-2230-7850 -
Performance investigation of PID controller in trajectory control of two-link robotic manipulator in medical robots
Robot-assisted surgical procedures have gained much coverage in recent years and favored over manually conducted operations. The medical robots are comprised of manipulators arm that is the multi-degree of freedom positioning devices with a highly non-linear nature to perform various surgical tasks. Due to non-linear effects, robots offer a severe challenge to the control system. Therefore, the control techniques are required for controlling the robots that should be fast enough to accommodate the rapid changes in the system parameters. In this article, the Proportional-Integral-Derivative (PID) controllers performance has been investigated in trajectory control of the Two-Link Robotic Manipulator (TLRM) for reliable functioning of these robots. Tracking error and Control input factors have been used to investigate the PID controllers robustness in trajectory control of TLRM. Eulers-lagrange approach has been used for dynamic analysis of TLRM. This work has been accomplished in the MATLAB/ Simulink environment. 2021 Taru Publications. -
Isolation of Fungal Endophytes From Hulimavu Lake Flora and Characterization and Optimization of Fungal Enzymes
The present work was aimed at isolating fungal endophytes from Hulimavu Lake, newlineextracting their secondary metabolites and fungal enzymes to subsequently probe the newlinebiological properties of these fungal endophytic bioactive compounds and enzymes. newlineHulimavu Lake, known for its notoriously high levels of pollution contributed by newlineanthropogenic factors, was chosen for this study with the literature-evidence backed newlinehypothesis that plant habitat stress also positively favors the type and quanta of bioactive compounds with novel features produced by its endophytes. Literature survey was performed to identify the probable types of plants found in this lake that could be used for the study and these were subsequently collected, identified and processed under laboratory conditions. These plants were authenticated by a certified botanist and were identified as Alternanthera philoxeroides, Ricinus communis and Persicaria glabra. Fungal endophytes were then isolated from different plant parts collected and were screened using preliminary LCB staining followed by DNA sequencing analysis. Based on ITS region sequencing, nucleotide homology and phylogenetic tree mapping, these fungal endophytic cultures were identified as Aspergillus niger, Talaromyces amestolkiae, Cladosporium phaseolorum and Diaporthe phaseolorum. Crude extracts obtained from these fungal endophytes displayed bacterial growth inhibition and significant free radical scavenging/ reduction potential that was comparable to standard ascorbic acid, hence depicting antioxidant activity of these extracts. Owing to their biological properties these crude extracts were further tested for cytotoxic properties on newlinedifferent models like that of Saccharomyces cerevisiae (Baker s yeast), Artemia salina newline(Brine shrimp) and MCF-7 cell line. The presence of fungal endophytic enzymes like newlineprotease, amylase, laccase and lipase was detected qualitatively and estimated newlinequantitatively. -
Citrus for wellness: Exploring the bioactive properties of Citrus medica fruit peel with emphasis on its anticancer, antioxidant, antimicrobial and anthelmintic properties
Citrus medica (Citron) is an underutilised plant consisting of various bioactive elements with numerous medicinal benefits. The present study aimed to evaluate the bioactive properties, including anthelmintic, antimicrobial, antioxidant and anticancer activities, of chloroform extract obtained from the of fruit peel of C. medica. The different types of phytochemicals present in the chloroform extract were analysed using GC-MS. The major components detected included n-hexadecanoic acid, octadecanoic acid, t-tetradecenal, 1-nonadecene etc. Anthelmintic study was conducted using Eisenia fetida as a test organism, revealing a significant anthelmintic effect in the C. medica fruit peel extract compared to the standard drug. Antimicrobial properties were assessed against five test bacterial and fungal strains. Antibacterial tests showed zones of inhibition ranging from 8 to 11 mm, while no prominent zones of inhibition were observed in antifungal tests. The DPPH assay demonstrated significant antioxidant properties of Citron fruit peel extract compared to the standard ascorbic acid. The Chloroform extract of citron fruit peel exhibited significant cytotoxic properties against FaDu (human hypopharyngeal tumour) cell line. The present study indicates the potential of the chloroform extract of C. medica fruit peel to be employed as an anthelmintic, antibacterial, antioxidant and anticancer agent. Hence, it emphasises the prominence that can be given to the dietary consumption of citrus fruit peel in various forms, such as dried peel, powder etc. The Author(s). -
Bioprospecting of Fungal Endophytes in Hulimavu Lake for Their Repertoire of Bioactive Compounds
Fungal endophytes hold a prominent position in the research world, in part due to the rich repertoire of bioactive compounds useful for industrial and environmental applications. The present study aims at bioprospecting few endophytic fungi isolated from Hulimavu lake flora (Bengaluru) for characterization of biological applications of their bioactive compounds. Among the lake plants screened, Alternanthera philoxeroides, Ricinus communis and Persicaria glabra were taken forward for isolation of fungal endophytes. Subsequent biochemical analyses were performed to quantify few fungal enzymes and bioactive compounds, followed by antimicrobial and cytotoxic assays. In conclusion, this pilot study aims to probe the plethora of bioactive compounds present in fungal endophytes that possess wide ranging biological properties. Due to the species richness and diversity of fungal endophytes across different host plants and habitats, bioprospecting fungal endophytes remains a very extensive yet promising topic for research, representing broad ranging environmental and industrial applications. The Electrochemical Society -
Differential Laccase Production among Diverse Fungal Endophytes in Aquatic Plants of Hulimavu Lake in Bangalore, India
The ability of plants to acclimatise and thrive in stressed environments can be attributed, in part, to the reserve of endophytic fungi that they harbour, that help enhance physiological and immunological defence and tolerance to various biotic and abiotic stressors. The present work has focussed on screening laccase producing endophytic fungi residing in different aquatic plants isolated from Hulimavu Lake, Bengaluru. This lake is well known for its water pollution contributed by anthropogenic factors. Survival of plants in this lake can hence be associated with their rich repertoire of endophytic fungi that enhance host plant defence towards stressors. Upon isolation and culturing of endophytic fungi, qualitative laccase detection using laccase specific growth media and quantitative laccase estimation using ABTS (2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) substrate were performed. Differential production rates were observed for the laccase enzyme by different endophytic fungi; production rates also varied between fungi isolated from different parts like node, stem, root and leaf of the same plant species too. Phylogenetic analysis of fungal isolates with highest laccase production was performed and the species was found to be Cladosporium tenuissimum. Even the crude extract of this strain displayed laccase production of 42.16U/L, as revealed by ABTS assay. Hence this strain is a promising candidate for optimization studies for utilisation in the domain of bioremediation and industrial applications. The Author(s) 2023. -
Securing her digital footprint: AI for women's safety
This chapter emphasizes the importance of artificial intelligence (AI) tools, analysis about the existing AI tools, and recommendations for future AI tools for women's safety. AI is experiencing significant growth and influence in the current era. Several key trends and developments highlight the role of AI in various domains: AI is being used for medical diagnosis, drug discovery, and patient care. Machine learning models are helping doctors analyse medical images, predict disease outcomes, and personalize treatment plans. Self-driving cars and drones are utilizing AI algorithms for navigation, obstacle detection, and decision-making. These technologies are advancing transportation and logistics. Natural language processing models like GPT-3 are transforming language-related tasks, from chatbots and virtual assistants to content generation, translation, and sentiment analysis. This chapter highlights the AI tools that exist for women's safety in the digital world and future apps needs for the same. 2024, IGI Global. All rights reserved. -
Deep Learning Algorithms Comparison forMultiple Biological Sequences Alignment
In this paper, deep learning algorithms are compared for aligning multiple biological molecular sequences such as DNA, RNA, and protein. Efficient algorithms are necessary for sequence alignment to identify significant insights, but there is a trade-off between time and accuracy. This study compares deep learning algorithms for multiple sequence alignment with better accuracy, using a new similarity measure to choose the best resemblance sequences in a set. Using a benchmark dataset, the algorithms compared include CNN, VAE, MLPNN, DBNs, Deep Boltzmann Machine, and GAN. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.