1,321 research outputs found

    Isolation and identification of entomopathogenic fungus from Eastern Ghats of South Indian forest soil and their efficacy as biopesticide for mosquito control

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    The repeated usage of chemical insecticides, responsible for insecticide resistance in mosquitoes and environ- mental toxicity. Currently e#ective and environmental-safe control strategies are needed for the control disease- vector mosquitoes. Entomopathogens can be an e#ective alternative to chemical insecticide. Herein we isolated and tested 46 soil-borne entomopathogenic fungi belonging to six genera, namely Beauveria sp., Metarhizium sp., Fusarium sp., Aspergillus sp., Trichoderma sp., and Verticillium sp., fungi conidia were tested on Aedes aegypti, Anopheles stephensi and Culex quinquefasciatus larvae. Bioassays results show that M. anisopliae fungal isolate causes a 100%, 98.6% and 92% mortality within six days, on Aedes aegypti, Anopheles stephensi and Culex quinquefasciatus, respectively. M. anisopliae treated three mosquito larvae have lower lifetime with LT50 values in A. stephensi, 2.931 days; A. aegypti, 2.676 days and C. quinquefasciatus, 3.254 days. 18 s rDNA sequence analysis con!rmed that the isolated fungus are belonging to the genus of M. anisopliae-VKKH3, B. bassiana-VKBb03, and V. lecanii-VKPH1. Our results clearly show that M. anisopliae has good potential, as a low-cost, environmentally safe tool for the control of A. aegypti, A. stephensi, and C. quinquefasciatus mosquitoes

    Inequalities for the minimum eigenvalue of M-matrices

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    Let A be a nonsingular M-matrix, and τ(A) denote its minimum eigenvalue. Shivakumar et al. [SIAM J. Matrix Anal. Appl., 17(2):298-312, 1996] presented some bounds of τ(A) when A is a weakly chained diagonally dominant M-matrix. The present paper establishes some new bounds of τ(A) for a general nonsingular M-matrix A. Numerical examples show that the results obtained are an improvement over some known results in certain cases

    A note on strongly sum difference quotient graphs

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    Recently, Adiga and Shivakumar Swamy 1 have introduced the concept of strongly sum difference quotient (SSDQ) graphs and shown that all graphs such as cycles, flowers and wheels are SSDQ graphs. They have also derived an explicit formula for α(n); the maximum number of edges in a SSDQ graphs of order n in terms of Eulers phi function. In this paper, we show that much studied families of graphs such as Mycielskian of the path Pn and the cycle Cn; Cn � Pn; double triangular snake graphs and total graph of Cn are strongly sum difference quotient graphs

    OSeMOSYS Kenya Power System Model

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    <p>First version, as originally released in Sep 2023 for the Kiahara et al. paper, published in Jan 2024.</p> <p>M. Kihara, P. Lubello, A. Millot, M. Akute, J. Kilonzi, M. Kitili, F. Mukuri, B. Kinyanjui, P. Hoseinpoori, A. Hawkes, A. Shivakumar, D. Welsby, S. Pye, Mid- to long-term capacity planning for a reliable power system in Kenya, Energy Strategy Reviews 52 (2024) 101312. https://doi.org/10.1016/j.esr.2024.101312.</p>If you use this software, please cite it as below

    International Conference on Recent Developments in Operator Theory and Its Applications

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    The present volume contains the proceedings of the International Conference on Ap­ plications of Operator Theory held in Winnipeg, Canada (October 2nd to 6th, 1994), which was organized by the Institute of Industrial Mathematical Sciences (IIMS) of the University of Manitoba. At this conference 92 participants representing 15 countries par­ ticipated, and 64 papers were presented. This meeting was the second of a linked pair. The first was a program of advanced instruction held at the Fields Institute, Ontario, followed by a research conference. The first of these events gave rise to the volume "Lectures on Operator Theory and its Applications", published by the American Mathematical Society for the Fields Institute in 1995. These two events were the creation of the following Program Committee: M. A. Dahleh (M. I. T. ) P. A. Fillmore (Dalhousie) B. A. Francis (Toronto) F. Ghahramani (Manitoba) K. Glover (Cambridge) I. Gohberg (Tel Aviv) T. Kailath (Stanford) P. Lancaster (Calgary), Chair H. Langer (Vienna) P. N. Shivakumar (Manitoba) A. A. Shkalikov (Moscow) B. Simon (Cal. Tech. ) H. Widom (Santa Cruz) Both events focused on the following main topics: Infinite matrices and projection methods, linear operators on indefinite scalar product spaces, differential operators and mathematical systems theory and control. This volume contains a selection of papers in modern operator theory and its appli­ cations. They are dedicated to recent achievements and many are written by leaders in the mentioned fields

    Centella asiatica extracts as green corrosion inhibitor for mild steel in 0.5 M sulphuric acid medium

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    The leaf extracts of centella asiatica(CE) was tested as green corrosioninhibitor for mild steel in 0.5 M H2SO4 by using gravimetric, polarization and electrochemical impedance spectroscopy (EIS) measurements. The data obtained from all the three methods are in good agreement with each other. Results indicate that leaf extracts of CE is a good green corrosion inhibitor for mild steel corrosion in 0.5 M H2SO4 solution. The inhibition efficiency was found to increase with increase in CE extracts concentration. A maximum inhibition efficiency of 95.08% was observed for 1200 ppm at 303K. Polarization measurements showed that the CE extracts acts as mixed type of inhibitor.Temperature studies revealed a decrease in inhibition efficiency with increase in temperature which suggests physisrption mechanism. The adsorption characteristics of CEextracts of on mild steel surface obeys Langmuir isotherm. Both kinetic and thermodynamics adsorption parameters were calculated and discussed,and SEM was used to analyse the surface adsorbed film

    Prevalence of malocclusion and orthodontic treatment needs among middle and high school children of Davangere city, India by using Dental Aesthetic Index

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    Background: Malocclusion has large impact on individual and society in term of discomfort, Quality of Life [QoL] Aims and Objectives: To assess prevalence of malocclusion and orthodontic treatment needs among middle and high school children of Davangere city, India by using Dental Aesthetic Index [DAI]. Materials and Methods: A Descriptive cross sectional study was conducted among 1000, in the age group 12 to 15 year old school children studying in middle and high schools of Davangere city, India. 10 schools were selected by simple random sampling procedure and 100 study subjects were selected proportionately for males and females by using systematic random sampling procedures in each school. Data recorded using proforma consisted DAI components. The collected data was subjected to statistical analysis. Statistical Analysis: The Chi-square test [x 2 ] was used for comparison of severity of malocclusion. Analysis of Variance [ANOVA] test was used for comparison of mean DAI scores between the age groups and in DAI scores. ′Z′ test was used for comparing the mean DAI scores between sex group. Results: Of the 1000 children examined, 518[ 51.8%] were males and 482[ 48.2%] were females. 80.1% school children had ≤ 25 DAI scores with no or minor malocclusion requiring no or little treatment, 15.7% had 26-30 DAI scores with definite malocclusion requiring elective treatment, 3.7% had 31-35 DAI scores with severe malocclusion requiring highly desirable treatment and 0.5% had ≥ 36 DAI scores with handicapping malocclusion requiring mandatory treatment. Conclusions: 80.1% school children had no or minor malocclusion which required no or slight treatment, 19.9% had definite/handicapping malocclusion requiring definite/mandatory orthodontic treatment

    Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis

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    Abstract Background Since AI algorithms can analyze patient data, medical records, and imaging results to suggest treatment plans and predict outcomes, they have the potential to support pathologists and clinicians in the diagnosis and treatment of oral and maxillofacial pathologies, just like every other area of life in which it is being used. The goal of the current study was to examine all of the trends being investigated in the area of oral and maxillofacial pathology where AI has been possibly involved in helping practitioners. Methods We started by defining the important terms in our investigation's subject matter. Following that, relevant databases like PubMed, Scopus, and Web of Science were searched using keywords and synonyms for each concept, such as "machine learning," "diagnosis," "treatment planning," "image analysis," "predictive modelling," and "patient monitoring." For more papers and sources, Google Scholar was also used. Results The majority of the 9 studies that were chosen were on how AI can be utilized to diagnose malignant tumors of the oral cavity. AI was especially helpful in creating prediction models that aided pathologists and clinicians in foreseeing the development of oral and maxillofacial pathology in specific patients. Additionally, predictive models accurately identified patients who have a high risk of developing oral cancer as well as the likelihood of the disease returning after treatment. Conclusions In the field of oral and maxillofacial pathology, AI has the potential to enhance diagnostic precision, personalize care, and ultimately improve patient outcomes. The development and application of AI in healthcare, however, necessitates careful consideration of ethical, legal, and regulatory challenges. Additionally, because AI is still a relatively new technology, caution must be taken when applying it to this industry
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