Journal articles on the topic 'Yugantha'

Fruit and berry raw materials are a valuable source of nutrients in the diet of the population of the Sverdlovsk Region. Among berry crops, blue honeysuckle (Lonicera caerulea L.) attracts special attention due to its rich biochemical composition, ease of cultivation and wide distribution in the Urals. The purpose of the study is to determine the organoleptic and physicochemical (mass fraction of reducing and total sugars, acidity) indicators of raw materials from honeysuckle fruits. Generally accepted standard physicochemical research methods were used. The material for the study was honeysuckle fruits of the varieties Polyanka Kotova, Bumerang, Amazonka, Nimfa, Lazurit, Bakcharskij Velikan, YUgana, Sil'ginka, Zinri, Gordost' Bakchara, Strezhevchanka, presented in a unique scientific installation of the collection of living open ground plants “Gene pool of fruit, berry and ornamental crops in the Middle Urals" of structural subdivision of the Sverdlovsk Horticulture Breeding Station of the URFANITS Ural Branch of the Russian Academy of Sciences (Sverdlovsk Region, Ekaterinburg). Among the studied varieties, the Polyanka Kotova, Zinri, Strezhevchanka, YUgana and Nimfa varieties stood out for their high organoleptic and physicochemical indicators, including the sugar-acid index (SAI). The results obtained can be used in the breeding process to select parental pairs for crossbreeding in order to obtain varieties with the highest possible biochemical characteristics; in further research related to the development of pharmaceutical formulations, as well as to expand the range and increase the nutritional value of dishes for catering establishments and the food industry.

Cloud computing provides various kinds of services to its users. Storage as a service is one of them, it is a service provided by cloud infrastructure in which large amount of electronic data is stored in cloud. In remote location on cloud we must always assure that our valuable data must be safe and it can be available in any time. In situations like natural calamities or any hardware crash or any unintended crossing out our data might be no longer to stay available. To recover data in cloud environment we are using data backup techniques for efficient use of data. This paper provides a review on various backup techniques used for Cloud Computing platform. G S Pradeep Ghantasala | Yugansh Singh | Titiksha Sharma "Various Effective Performance Methods in Backup and Data Recovery Techniques for A Cloud Based Environment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd15862.pdf

ABSTRACT The acid pretreatment and use of composite resins as the bonding medium has disadvantages like scratching and loss of surface enamel, decalcification, etc. To overcome disadvantages of composite resins, glass ionomers and its modifications are being used for bonding. The study was conducted to evaluate the efficiency of resin reinforced glass ionomer as a direct bonding system with conventional glass ionomer cement and composite resin. The study showed that shear bond strength of composite resin has the higher value than both resin reinforced glass ionomer and conventional glass ionomer cement in both 1 and 24 hours duration and it increased from 1 to 24 hours in all groups. The shear bond strength of resin reinforced glass ionomer cement was higher than the conventional glass ionomer cement in both 1 and 24 hours duration. Conditioning with polyacrylic acid improved the bond strength of resin reinforced glass ionomer cement significantly but not statistically significant in the case of conventional glass ionomer cement. How to cite this article Rao KS, Reddy TPK, Yugandhar G, Kumar BS, Reddy SNC, Babu DA. Comparison of Shear Bond Strength of Resin Reinforced Chemical Cure Glass Ionomer, Conventional Chemical Cure Glass Ionomer and Chemical Cure Composite Resin in Direct Bonding Systems: An in vitro Study. J Contemp Dent Pract 2013;14(1):21-25.

"Dharma is a multi-faceted term that means, religion, duty, belief systems, morals, ethics and a lot more, in different contexts. The aspect of dharma that will be looked into this paper is one that would be related to ‘duty’. ‘Man is born free, but is everywhere in chains.’, (Rousseau, The Social Contract,1762), this idea encompasses the dilemma faced by human beings in relation to the idea of dharma as duty. Dharma maintains and sustains; it is the natural order of life, when followed diligently, can lead to fulfilment and attainment of one’s purpose of existence. The Mahabharata is a repository of the way of life, it has the potential to provide direction and meaning to life. The idea of dharma as expressed in the Mahabharata is multi-hued. Be it the apt reward enjoyed by the anonymous dasi who follows her dharma and unites with the odious Vyasa following the orders, as a result birthing the only wise and able progeny – Vidura, is an instance of an upright action leading to a right consequence. Duryodhana finding place in heaven after the foul blow on his thigh which causing his death, in spite of the machinations that he participates in all through his life, as he has diligently followed his Svadharma - the Kshatriyadharma. Guru Dronacharya and his son Ashvatthama, born as Brahmins but donning the mantle of Kshatriyas are found creating havoc on and off the battlefield. Irawati Karve in the Yuganta; The End of an Epoch,1967, has rightly titled one of the chapters ‘Paradharmo Bhayavahah’ which deals with the flip side of adopting dharma, the ‘duty’ prescribed for a group of people that should not be taken up, even mistakenly, by ones not belonging there. This paper would attempt to take a look at the spectrum of examples from the epic pertaining to following one’s prescribed duty and also would consider its associated outcome. At the same time, the application of the principle of dharma with reference to business set ups would also be looked into, for the benefit of its stakeholders."

Introduction. The demand for honeysuckle berries and planting material is growing. Clonal micropropagation is the most effective method for industrial plantations. The research objective was to study the effect of cytokinins and auxins on Russian and Canadian honeysuckle microshoots and roots.
 Study objects and methods. The study featured regenerated honeysuckle (Lonicera edulis Turcz.) of three Russian cultivars (Bakcharsky Velikan, Doch Velikana, Yugana) and two Canadian cultivars (Boreal Beauty, Boreal Beast). The experiment focused on the effect of sterilizing agents and sterilization time on the viability of honeysuckle explants at the stage of culture introduction in vitro. The effect of the growth regulator Cytodef in the QL nutrient medium on organogenesis was studied at the stage of micropropagation proper, the effect of auxin IBA on plant root formation – at the stage of rooting in vitro.
 Results and discussion. The greatest viability of honeysuckle explants (80–94%) was registered in the samples affected by Lizoformin 3000 (5%) and silver nitrate (0.2%) as sterilizing agents with a sterilization time of 10 min at the stage of in vitro culture introduction. The biggest quantity (8.8 pcs.) and total length (40.1 cm) of microshoots were observed when the content of cytokinin Cytodef in the culture medium QL was 0.3 mg/L at the stage micropropagation proper. The Boreal Beast cultivar had the largest total length of shoots (29.0 cm). The biggest quantity (5.5 pcs.) and total length (30.8 cm) of roots resulted from 0.5 mg/L of auxin IBA at the stage of rooting in vitro. Coconut substrate produced the highest survival rate (92–99%) at the stage of adaptation to non-sterile conditions in vivo, with the greatest number of leaves (8.1–10.2 pcs.) observed in Canadian cultivars.
 Conclusion. Cytodef and IBA proved to be effective growth-regulating substances for microplants of Russian and Canadian honeysuckle cultivars in vitro, which makes them promising for berry plantations.

Annotatsiyasi:    Mazkur  maqolada  dislaliyani  kelib  chiqish  sabablari,  dislaliyani  diagnostikasi  va  bosqichma-  bosqich  davolash  usullari  yoritilgan,       dislaliyani bartaraf etish usullari va mavzuga doir xulosa va takliflar bildirilgan.  Dislaliya- tovush talaffuz qilishning normal eshitish va nutq apparatining saqlangan  innervatsiyasi paytida buzulishidir. 

Empirical studies proved that good corporate governance had a positive link to the success of an organization. Good in directing and managing organizational processes, structures, and information mean satisfaction guaranteed was given to all stakeholders. Essential factor like working atmosphere may be considered when looking into corporate governance as well as organizational success. However, limited literature focused on the importance of communication climate and its connection to corporate governance and organizational success. Hence, this study looked into the predicting effect of communication climate to perceived corporate governance and organizational success. A total of ninety-eight rank and file employees voluntarily participated in accomplishing three questionnaires such as the Communication Climate Inventory by Costigen & Schiedler; Corporate Governance Survey adapted from Wickramanayake’s Seven Characteristics of Corporate Governance; and Organizational Success Survey adapted from Ilyas & Rafig used to measure communication climate, corporate governance, and organizational success respectively. Results revealed that communication climate was a predictor of perceived corporate governance and organizational success. This implied that the role of supervisors in setting work conditions was essential on how rank and file employees perceived corporate governance and organizational success.ReferencesAbdu Rashid, M., Azman bin Othman, M., Zainudin bin Othman, M., Ain bt Arshad, F. (2015). The influence of work environment on employees job performance: a case study of Administrative staff in a manufacturing industry. 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The epic Mahabharata presents the character of Draupadi in flaring colours. Though she is a lady, she possesses all the qualities of an independent soul, stern and strong determination, and capability of raising the voice against the injustice incurred to her. Draupadi refused to be known by the names associated with the identities of her father or her husbands. She did not succumb under the unpredictable events and strongly raised objections against the humiliation which she had to face. She did not conform to the unspoken quality ascribed to the women as ‘a silent sufferer’; rather she emerged as an “outspoken fighter”. She stood strong against her oppressors and battled for her rights. It was she who encouraged and instigated her husbands to avenge the insults which they had faced. All these traits prove that she was a true feminist because she was mightier than the women around her. Draupadi as presented in the novels Yuganta: the End of An Epoch (1967) by Iravati Karve and Palace of Illusions(2008) by Chitra Benerjee Divakaruni also showcase these prominent traits of an independent woman. This paper aims on analysing these two novels under the lens of feminist theory by analysing the character of Draupadi. The paper concludes that Draupadi was a true feminist way ahead of her times.

Commelinabadamica var. palkondensis P. Sivaramakrishna, P. Yugandhar and L.J. Singh, var. nov. (Commelinaceae), a remarkable new variety from Palkonda hills of Eastern Ghats of Peninsular Indiais described and illustrated. It is apparently similar to C. badamica var. badamica in habitat ecology and general morphology, but differs in features like presence of a 2–3‐nerved ligule, lower cincinnus with single bisexual flower, glabrous ovary, elliptic anthers and ovoid‐oblong or trapezoidal seeds. In addition to the description, habitat ecology, details on population distribution and the conservation status are also provided for the new variety.

“The integration of Competency-Based Medical Education (CBME) into the medical curriculum in 2019 marked a significant shift in medical education in India. This approach emphasizes the acquisition of specific competencies deemed essential for medical practice, thereby necessitating innovative pedagogical strategies to foster comprehensive learning among medical students. One such pivotal component introduced within the updated curriculum is self-directed learning (SDL), recognized as a vital means to cultivate lifelong learning skills and adaptability in medical professionals. Against this backdrop, the book on "Self-directed Learning for Medical Students" authored by Dr. Kailash Charokar, MS, MBA(HA), PGDHA, CMCL-FAIMER Fellow, NMC ACME; Dr. Vishnu Pal, PhD (Med Anatomy), NMC ACME; Dr. Yuganti Vaidya, MD(Anatomy), NMC ACME; and Dr. Tukaram Prabhu K, Msc. Medical Microbiology emerges as a timely useful resource. The contributors are experienced faculty members of the institutional medical education unit with special interest in Self-directed learning in CMBE (SDL Study Circle Team). The team has experience and supports the implementation of longitudinal educational project study in the different phases of undergraduate CBME MBBS Curriculum in the subject disciplines.

ISSN (Print): 2395-4752 Plagiarism Detection Process Using AI <strong>Lakshmi Chaitanya, S. Nafisa Afreen, K. Veena, P. Gayathri, S. Pavitra , M. Aparna</strong> Department of Computer Science &amp; Engineering Santhiram Engineering College, India &nbsp; <strong>Abstract- Plagiarism relates to the act of taking information or ideas of someone else and demands it as your own. Basically, it reproduces the existing information in modified format. In every field of education, it becomes a serious issue. Various techniques and tools are derived these days to detect plagiarism.</strong> <strong>Various types of plagiarism are there like text matching, copy paste, grammar based method etc. This</strong> <strong>project</strong> <strong>proposes a new method implemented in a prog </strong>same order in each string. As there are many <strong>ning</strong> <strong>ram. Here we put the concept of a machine lear</strong> <strong>techniques i.e. Longest Common Subsequence (LCS) and Five Modulus Method (FMM). This project helps</strong> <strong>us to identify whether text or image is plagiarized or not.</strong> documents to be compared, so this may take a lot of <strong>Keywords- FMM, LCS etc.</strong> time. So, to solve this problem clustering is used. &nbsp; I.INTRODUCTION 1.Artificial Intelligence Artificial Intelligenceis a branch of Computer Science and Engineering which is used to make the machine to think like human and act like human. These machines consists of sensors and actuators. Sensors helps to sense the surrounding information and the actuators act according to the information sensed by the sensors, i.e., the environment of the system is observed by intelligent agents through sensors and actuators are components through which energy is converted into motion. &nbsp; They perform the role of controlling and moving a system.AI can automate workflows and processes or work independently and autonomously from a human team, it can eliminate manual errors in data processing, analytics, assembly in manufacturing, and other tasks through automation and algorithms that follow the same processes every single time, it can be used to perform repetitive tasks, freeing human capital to work on higher impact problems, AI can process more information more quickly than a human. The various applications of AI are speech recognition, image recognition, translation, productive modelling, data analytics and cyber security. 2.Longest Common Subsequence (Lcs) The LCS (Longest Common Subsequence) method finds the longest string between two given strings that are common between the two groups and in the &nbsp; &nbsp; Here a cluster is created which mainly contain those files which are similar to the document to be compared by Longest Common Subsequence Method.Take two strings x and y and then we have to initialize a matrix of x.length *y.length. If i=0 or j=0 then the resultant value is zero. If I and j are equal then the resultant value is 1+[i-1,j-1], otherwise the resultant value is max([i-1][j],[i][j-1]). These method is used to find the longest string between the two given strings that are common between the two groups and in same order. &nbsp; 3.Five Modulus Method (Fmm) The FMM (Five Modulus Method) converts a random image into 8*8 block matrix. The block matrix is divided by 5 which reduces the size of the image. Clearly, we know that each pixel is a numberbetween 0 to 255for each of the Red, Green, and Blue arrays. Therefore, if we can transform each number in that range into a number divisible by 5, then this will not affect the Human Visual System (HVS). &nbsp; Mathematically speaking, any number divided by 5 will give a remainder ranges from 0-4 (e.g., 15 mod 5 is 0, 17 mod 5 is 2, 201 mod 5 is 1, 187 mod 5 is 2 and so on). Here, we have proposed a new formula to transform any number in the range 0-255 into a number that when divided by 5 the result is always lying between 0-4. Actually, any number in the range0-4 (which is the remainder of dividing 0-255 by 5) can be transformed as follows 0&rarr;(same pixel), &nbsp; &nbsp; &copy; V. Lakshmi Chaitanya. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. &nbsp; 1&rarr;(-1), 2&rarr;(-2), 3&rarr;(+2), 4&rarr;(+1).We have used FMM for compression as the intended data which is required is not lost in this method. It also reduces the size of the image from higher intensity to lower intensity which helps to compare images more rapidly. FMM firstly converts the input image into gray scaled image and then compress using threshold value. &nbsp; II.EXISTING SYSTEM &nbsp; Plagiarism is a mistake mostly in academic field. It takes others contributions without their permission and does not give honour to the originator. Reprobates are rewarded though they are not deserved for that. We can observe plagiarism occur in various fields like literature, academic, science, music vastly.Plagiarism detection techniques are there, which are classified into character based method, structural-based method, classification or cluster based method, syntax-based methods, cross language-based methods, semantic-based methods and citation- based methods. These methods deal with plagiarism act on the text and ignore images. &nbsp; A survey was carried out for plagiarism detection in 2006, which focused on text-based plagiarism detection and described some plagiarism detection tools with test cases and results. In the following year, another survey was done by Lukashenko et al., which focused on a general way of minimizes plagiarism and discussed metrics for calculating similarity scores. Although this study only showed a few attributes of seven plagiarism detection tools, this paper did not comprehensively analysis tools, detection algorithms and techniques. In 2011, Garg conducted a study that briefly discussed plagiarism and described two source code plagiarism detection tools and six natural language plagiarism detection tools. &nbsp; III.DISADVANTAGES OF EXISTING SYSTEM: &nbsp; The existing system can detect the text-based plagiarism and can&rsquo;t be able to detect the image- based plagiarism. Images also contain a wide range of information and hence the image-based plagiarism should be detected. This is the major disadvantage of the existing system. &nbsp; As we need to compare each and every string at each instance it consumes a lot of time. Hence, it is the time consuming process. We can&rsquo;t predict the output due to the comple manual computations, these may cause errors and also affects the accuracy. The accuracy is very less due to the computational errors. &nbsp; IV.PROPOSED SYSTEM &nbsp; We thought about the issue involved with plagiarism detection and try to make it easy to find. We have used the LCS method to detect the plagiarism of a paper in terms of text, which not only find plagiarism but also show the percentage of plagiarism held. The images contain a very wide range of information, we have used FMM method to examine the plagiarism of a paper in terms of images. &nbsp; The images contain a very wide range and especially in the computer literature to be found a lot flowchart images, the purpose of this project is to examine the plagiarism of a paper in terms of used flowchart images plagiarism using FMM. These images have been tested FMM method. The recognition accuracy average of flowchart test images that have not been tampered in terms of structure, nodes and edges in the proposed method with 81.91 percent is indicating the high success of this method and increase of recognition. &nbsp; V.WORKING PRINCIPLE &nbsp; In its present form, the system&#39;s primary function is to serve as a platform for training and examination. The Histogram is used during the training phase for recognition, and the network&#39;s modelling is used for testing. The analysis is based on the percentages of similarity between the photographs requested and those already present in the database.This method chooses pictures that have the highest correlations with the one you&#39;re looking for. At this stage, the expert is responsible for interpreting the findings of the correlation analysis to determine whether or not the tested images were plagiarized. &nbsp; &nbsp; &nbsp; &nbsp; Fig.1 Proposed system Architecture. &nbsp; VI.ADVANTAGES OF PROPOSED SYSTEM &nbsp; In comparison to other models that we looked at in the literature, the proposed system&#39;s accuracy is 81.91 percent, and this model ended up providing thebest accuracy. The output can be predicted and also consumes less time for computing, computational errors will be reduced. Our approach additionally includes a method which can identify the image-based plagiarism along with the text-based plagiarism. &nbsp; VII.RESULTS &nbsp; Our model is more accurate (82.91%) than the other models we analysed. The plagiarism is predicted more accurately in terms of both text-based and image-based. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Fig.2 Home page. &nbsp; Fig.3 Signup Page. &nbsp; &nbsp; &nbsp; &nbsp; Fig.4 Login Page. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Fig.5 Upload Test File. &nbsp; Fig.6 Text-based Plagiarism Detected. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Fig.7 Upload Test Image. &nbsp; &nbsp; &nbsp; Fig.8 Graphs showing Image-based Plagiarism Detected. &nbsp; Fig.9 Image-based Plagiarism Detected. &nbsp; VIII.CONCLUSION &nbsp; We introduced an image-based plagiarism detection approach that adapts itself to forms of image similarity found in academic work. 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